how long does writing a thesis take

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Is it possible to write a masters thesis in 10 days? [closed]

Was it ever possible for anyone to finish writing a master thesis in 10 days? I've been struggling for a long time now to focus on my writing due to several personal problems and I'm running close to my deadline so I'm starting to freak out. I welcome any suggestions at this point.

• time-management

• 1 Can you push your deadline to next semester? –  HEITZ Commented Nov 30, 2016 at 22:43
• 4 I think that really depends on your field, how comprehensive the exact subject of your thesis is, how knowledgeable you are and how well skilled you are in academic writing. I wrote mine in a little over 25 hours in total, but this excludes reading literature and the time required for doing experiments. –  pbond Commented Nov 30, 2016 at 23:41
• 1 What @pbond said with the additional question of what the requirements of the actual thesis are. –  Raydot Commented Dec 1, 2016 at 0:44
• 1 I hope you are holed up somewhere working hard on your draft, instead of reading this comment. But if you are reading this comment, go get started! Promise yourself a little reward after a good day's work. After a few days, when you are really on a roll, THEN you may contact someone official to ask for an extension. –  aparente001 Commented Dec 1, 2016 at 2:18

4 Answers 4

If by "writing" you mean to do the research/experiments/studying and then write the thesis then no .

If by "writing" you mean transforming your well organized notes into one document, then yes , maybe if you have great discipline.

If by "writing" you mean to start to write-up from not-so well organized notes, then most probably not .

If you want to try to make it, stop hanging around on the internet and start working.

• 2 This made me laugh, which was much needed. –  NZKshatriya Commented Dec 1, 2016 at 1:28
• Concise yet precise. –  Ébe Isaac Commented Dec 1, 2016 at 4:05
• Great last sentence. –  Pere Commented Dec 22, 2016 at 19:51

It can be done, but I would be dubious of the quality. That said, I can't recall a Master's thesis that set the world on fire, so I suppose quality is a poor metric.

Here are some suggestions:

• Make sure you've got all the material you need to write because that's what you need to do -- write. Find a nest and keep all the distractions out.
• Set minimum targets for your writing. Then, meet and exceed it. I suggest setting targets that allow you to finish writing in eight days, not 10. This gives you some padding in case life gets in the way. To be clear, there are 192 hours in eight days. Allowing for a 12-hour work day, then you need to write 15,000 words in 96 hours or about 156 words an hour. Set a target of 400 words an hour.
• Make sure you have time to edit your work.

Good luck to you.

• 3 Just to nitpick: Shannon's masters thesis was actually quite groundbreaking, more so than his PhD. Apart from that, I agree with your advice. Start now. –  Captain Emacs Commented Nov 30, 2016 at 23:41
• I would love to read it. Do you have a link to the thesis or perhaps some papers that have been produced from it? –  user65587 Commented Dec 1, 2016 at 2:42
• I think it should be googleable, I do not know whether I can link it here. It is essentially how to use Boolean algebra to simplify circuits. Retrospectively obvious, it wasn't at its time. –  Captain Emacs Commented Dec 1, 2016 at 11:43
• @Captain Emacs: Although a bit old, there's the case of Luzin's Master's thesis: . . . he completed his thesis The integral and trigonometric series which he submitted in 1915. After his oral examination he was awarded a doctorate, despite having submitted his thesis for the Master's Degree. In fact, even for a Ph.D. thesis, Luzin's is one of the strongest ever written in mathematics --- probably in the top 10 to 20 of all-time for its influence on later developments. –  Dave L Renfro Commented Dec 1, 2016 at 14:48

Yes. You can write it in 10 days though the result won't be good. Make sure you write 1000 to 1500 words a day. So, rather than starting to freak out, you can start writing now

If it's an MFA thesis (average length: 2-3 pages) yes. If it's a science one where you're reporting on results and my impression is that the length isn't too terribly long, maybe. If it's a humanities one that's in the 100-150 page range, it's unlikely (I've written 10-15 pages in a day before, but I doubt I can keep that pace up for ten pages).

You should look into extending into next semester, even if it's just shooting off a quick email while continuing to work. If you have had a large number of personal problems that have negatively affected your ability to complete your school work (and are in the US, not sure how it would apply elsewhere), you should (a) speak with the counseling center on campus and (b) consider a withdrawal under extenuating circumstances (typically called a medical withdrawal, but at least at my school they are allowed for other reasons). If there's no penalty at all for extending into next semester, (b) might not even be necessary — it's super common for both master's and PhD students to miss their expected graduation date by a semester or two because of the thesis/dissertation.

But if you're running up against a hard time limit, the withdrawal would gain you an extra semester. If withdrawal isn't an option, at many schools you can also (c) petition the university to waive the time limit given your circumstances. I don't think I've ever really heard of those petitions being denied if the reason is even halfway reasonable.

Not the answer you're looking for? Browse other questions tagged thesis masters writing time-management deadlines .

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• Knowledge Base
• How to Write a Thesis Statement | 4 Steps & Examples

How to Write a Thesis Statement | 4 Steps & Examples

Published on January 11, 2019 by Shona McCombes . Revised on August 15, 2023 by Eoghan Ryan.

A thesis statement is a sentence that sums up the central point of your paper or essay . It usually comes near the end of your introduction .

Your thesis will look a bit different depending on the type of essay you’re writing. But the thesis statement should always clearly state the main idea you want to get across. Everything else in your essay should relate back to this idea.

You can write your thesis statement by following four simple steps:

• Start with a question
• Write your initial answer
• Develop your answer
• Refine your thesis statement

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Table of contents

What is a thesis statement, placement of the thesis statement, step 1: start with a question, step 2: write your initial answer, step 3: develop your answer, step 4: refine your thesis statement, types of thesis statements, other interesting articles, frequently asked questions about thesis statements.

A thesis statement summarizes the central points of your essay. It is a signpost telling the reader what the essay will argue and why.

The best thesis statements are:

• Concise: A good thesis statement is short and sweet—don’t use more words than necessary. State your point clearly and directly in one or two sentences.
• Contentious: Your thesis shouldn’t be a simple statement of fact that everyone already knows. A good thesis statement is a claim that requires further evidence or analysis to back it up.
• Coherent: Everything mentioned in your thesis statement must be supported and explained in the rest of your paper.

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The thesis statement generally appears at the end of your essay introduction or research paper introduction .

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You should come up with an initial thesis, sometimes called a working thesis , early in the writing process . As soon as you’ve decided on your essay topic , you need to work out what you want to say about it—a clear thesis will give your essay direction and structure.

You might already have a question in your assignment, but if not, try to come up with your own. What would you like to find out or decide about your topic?

For example, you might ask:

After some initial research, you can formulate a tentative answer to this question. At this stage it can be simple, and it should guide the research process and writing process .

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Now you need to consider why this is your answer and how you will convince your reader to agree with you. As you read more about your topic and begin writing, your answer should get more detailed.

In your essay about the internet and education, the thesis states your position and sketches out the key arguments you’ll use to support it.

The negatives of internet use are outweighed by its many benefits for education because it facilitates easier access to information.

In your essay about braille, the thesis statement summarizes the key historical development that you’ll explain.

The invention of braille in the 19th century transformed the lives of blind people, allowing them to participate more actively in public life.

A strong thesis statement should tell the reader:

• Why you hold this position
• What they’ll learn from your essay
• The key points of your argument or narrative

The final thesis statement doesn’t just state your position, but summarizes your overall argument or the entire topic you’re going to explain. To strengthen a weak thesis statement, it can help to consider the broader context of your topic.

These examples are more specific and show that you’ll explore your topic in depth.

Your thesis statement should match the goals of your essay, which vary depending on the type of essay you’re writing:

• In an argumentative essay , your thesis statement should take a strong position. Your aim in the essay is to convince your reader of this thesis based on evidence and logical reasoning.
• In an expository essay , you’ll aim to explain the facts of a topic or process. Your thesis statement doesn’t have to include a strong opinion in this case, but it should clearly state the central point you want to make, and mention the key elements you’ll explain.

If you want to know more about AI tools , college essays , or fallacies make sure to check out some of our other articles with explanations and examples or go directly to our tools!

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A thesis statement is a sentence that sums up the central point of your paper or essay . Everything else you write should relate to this key idea.

The thesis statement is essential in any academic essay or research paper for two main reasons:

• It gives your writing direction and focus.
• It gives the reader a concise summary of your main point.

Without a clear thesis statement, an essay can end up rambling and unfocused, leaving your reader unsure of exactly what you want to say.

Follow these four steps to come up with a thesis statement :

• Ask a question about your topic .
• Write your initial answer.
• Develop your answer by including reasons.
• Refine your answer, adding more detail and nuance.

The thesis statement should be placed at the end of your essay introduction .

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McCombes, S. (2023, August 15). How to Write a Thesis Statement | 4 Steps & Examples. Scribbr. Retrieved June 28, 2024, from https://www.scribbr.com/academic-essay/thesis-statement/

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Frequently asked questions

How long does it take to write a dissertation.

At the bachelor’s and master’s levels, the dissertation is usually the main focus of your final year. You might work on it (alongside other classes) for the entirety of the final year, or for the last six months. This includes formulating an idea, doing the research, and writing up.

A PhD thesis takes a longer time, as the thesis is the main focus of the degree. A PhD thesis might be being formulated and worked on for the whole four years of the degree program. The writing process alone can take around 18 months.

Frequently asked questions: Knowledge Base

Methodology refers to the overarching strategy and rationale of your research. Developing your methodology involves studying the research methods used in your field and the theories or principles that underpin them, in order to choose the approach that best matches your objectives.

Methods are the specific tools and procedures you use to collect and analyse data (e.g. interviews, experiments , surveys , statistical tests ).

In a dissertation or scientific paper, the methodology chapter or methods section comes after the introduction and before the results , discussion and conclusion .

Depending on the length and type of document, you might also include a literature review or theoretical framework before the methodology.

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to test a hypothesis by systematically collecting and analysing data, while qualitative methods allow you to explore ideas and experiences in depth.

Reliability and validity are both about how well a method measures something:

• Reliability refers to the  consistency of a measure (whether the results can be reproduced under the same conditions).
• Validity   refers to the  accuracy of a measure (whether the results really do represent what they are supposed to measure).

If you are doing experimental research , you also have to consider the internal and external validity of your experiment.

A sample is a subset of individuals from a larger population. Sampling means selecting the group that you will actually collect data from in your research.

For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

Statistical sampling allows you to test a hypothesis about the characteristics of a population. There are various sampling methods you can use to ensure that your sample is representative of the population as a whole.

There are several reasons to conduct a literature review at the beginning of a research project:

• To familiarise yourself with the current state of knowledge on your topic
• To ensure that you’re not just repeating what others have already done
• To identify gaps in knowledge and unresolved problems that your research can address
• To develop your theoretical framework and methodology
• To provide an overview of the key findings and debates on the topic

Writing the literature review shows your reader how your work relates to existing research and what new insights it will contribute.

A literature review is a survey of scholarly sources (such as books, journal articles, and theses) related to a specific topic or research question .

It is often written as part of a dissertation , thesis, research paper , or proposal .

The literature review usually comes near the beginning of your  dissertation . After the introduction , it grounds your research in a scholarly field and leads directly to your theoretical framework or methodology .

Harvard referencing uses an author–date system. Sources are cited by the author’s last name and the publication year in brackets. Each Harvard in-text citation corresponds to an entry in the alphabetised reference list at the end of the paper.

Vancouver referencing uses a numerical system. Sources are cited by a number in parentheses or superscript. Each number corresponds to a full reference at the end of the paper.

A Harvard in-text citation should appear in brackets every time you quote, paraphrase, or refer to information from a source.

The citation can appear immediately after the quotation or paraphrase, or at the end of the sentence. If you’re quoting, place the citation outside of the quotation marks but before any other punctuation like a comma or full stop.

In Harvard referencing, up to three author names are included in an in-text citation or reference list entry. When there are four or more authors, include only the first, followed by ‘ et al. ’

A bibliography should always contain every source you cited in your text. Sometimes a bibliography also contains other sources that you used in your research, but did not cite in the text.

MHRA doesn’t specify a rule about this, so check with your supervisor to find out exactly what should be included in your bibliography.

Footnote numbers should appear in superscript (e.g. 11 ). You can use the ‘Insert footnote’ button in Word to do this automatically; it’s in the ‘References’ tab at the top.

Footnotes always appear after the quote or paraphrase they relate to. MHRA generally recommends placing footnote numbers at the end of the sentence, immediately after any closing punctuation, like this. 12

In situations where this might be awkward or misleading, such as a long sentence containing multiple quotations, footnotes can also be placed at the end of a clause mid-sentence, like this; 13 note that they still come after any punctuation.

When a source has two or three authors, name all of them in your MHRA references . When there are four or more, use only the first name, followed by ‘and others’:

Note that in the bibliography, only the author listed first has their name inverted. The names of additional authors and those of translators or editors are written normally.

A citation should appear wherever you use information or ideas from a source, whether by quoting or paraphrasing its content.

In Vancouver style , you have some flexibility about where the citation number appears in the sentence – usually directly after mentioning the author’s name is best, but simply placing it at the end of the sentence is an acceptable alternative, as long as it’s clear what it relates to.

In Vancouver style , when you refer to a source with multiple authors in your text, you should only name the first author followed by ‘et al.’. This applies even when there are only two authors.

In your reference list, include up to six authors. For sources with seven or more authors, list the first six followed by ‘et al.’.

The words ‘ dissertation ’ and ‘thesis’ both refer to a large written research project undertaken to complete a degree, but they are used differently depending on the country:

• In the UK, you write a dissertation at the end of a bachelor’s or master’s degree, and you write a thesis to complete a PhD.
• In the US, it’s the other way around: you may write a thesis at the end of a bachelor’s or master’s degree, and you write a dissertation to complete a PhD.

The main difference is in terms of scale – a dissertation is usually much longer than the other essays you complete during your degree.

Another key difference is that you are given much more independence when working on a dissertation. You choose your own dissertation topic , and you have to conduct the research and write the dissertation yourself (with some assistance from your supervisor).

Dissertation word counts vary widely across different fields, institutions, and levels of education:

• An undergraduate dissertation is typically 8,000–15,000 words
• A master’s dissertation is typically 12,000–50,000 words
• A PhD thesis is typically book-length: 70,000–100,000 words

However, none of these are strict guidelines – your word count may be lower or higher than the numbers stated here. Always check the guidelines provided by your university to determine how long your own dissertation should be.

References should be included in your text whenever you use words, ideas, or information from a source. A source can be anything from a book or journal article to a website or YouTube video.

If you don’t acknowledge your sources, you can get in trouble for plagiarism .

Your university should tell you which referencing style to follow. If you’re unsure, check with a supervisor. Commonly used styles include:

• Harvard referencing , the most commonly used style in UK universities.
• MHRA , used in humanities subjects.
• APA , used in the social sciences.
• Vancouver , used in biomedicine.
• OSCOLA , used in law.

Your university may have its own referencing style guide.

If you are allowed to choose which style to follow, we recommend Harvard referencing, as it is a straightforward and widely used style.

To avoid plagiarism , always include a reference when you use words, ideas or information from a source. This shows that you are not trying to pass the work of others off as your own.

You must also properly quote or paraphrase the source. If you’re not sure whether you’ve done this correctly, you can use the Scribbr Plagiarism Checker to find and correct any mistakes.

In Harvard style , when you quote directly from a source that includes page numbers, your in-text citation must include a page number. For example: (Smith, 2014, p. 33).

You can also include page numbers to point the reader towards a passage that you paraphrased . If you refer to the general ideas or findings of the source as a whole, you don’t need to include a page number.

When you want to use a quote but can’t access the original source, you can cite it indirectly. In the in-text citation , first mention the source you want to refer to, and then the source in which you found it. For example:

It’s advisable to avoid indirect citations wherever possible, because they suggest you don’t have full knowledge of the sources you’re citing. Only use an indirect citation if you can’t reasonably gain access to the original source.

In Harvard style referencing , to distinguish between two sources by the same author that were published in the same year, you add a different letter after the year for each source:

• (Smith, 2019a)
• (Smith, 2019b)

Add ‘a’ to the first one you cite, ‘b’ to the second, and so on. Do the same in your bibliography or reference list .

To create a hanging indent for your bibliography or reference list :

• Highlight all the entries
• Click on the arrow in the bottom-right corner of the ‘Paragraph’ tab in the top menu.
• In the pop-up window, under ‘Special’ in the ‘Indentation’ section, use the drop-down menu to select ‘Hanging’.
• Then close the window with ‘OK’.

Though the terms are sometimes used interchangeably, there is a difference in meaning:

• A reference list only includes sources cited in the text – every entry corresponds to an in-text citation .
• A bibliography also includes other sources which were consulted during the research but not cited.

It’s important to assess the reliability of information found online. Look for sources from established publications and institutions with expertise (e.g. peer-reviewed journals and government agencies).

The CRAAP test (currency, relevance, authority, accuracy, purpose) can aid you in assessing sources, as can our list of credible sources . You should generally avoid citing websites like Wikipedia that can be edited by anyone – instead, look for the original source of the information in the “References” section.

You can generally omit page numbers in your in-text citations of online sources which don’t have them. But when you quote or paraphrase a specific passage from a particularly long online source, it’s useful to find an alternate location marker.

For text-based sources, you can use paragraph numbers (e.g. ‘para. 4’) or headings (e.g. ‘under “Methodology”’). With video or audio sources, use a timestamp (e.g. ‘10:15’).

In the acknowledgements of your thesis or dissertation, you should first thank those who helped you academically or professionally, such as your supervisor, funders, and other academics.

Then you can include personal thanks to friends, family members, or anyone else who supported you during the process.

Yes, it’s important to thank your supervisor(s) in the acknowledgements section of your thesis or dissertation .

Even if you feel your supervisor did not contribute greatly to the final product, you still should acknowledge them, if only for a very brief thank you. If you do not include your supervisor, it may be seen as a snub.

The acknowledgements are generally included at the very beginning of your thesis or dissertation, directly after the title page and before the abstract .

In a thesis or dissertation, the acknowledgements should usually be no longer than one page. There is no minimum length.

You may acknowledge God in your thesis or dissertation acknowledgements , but be sure to follow academic convention by also thanking the relevant members of academia, as well as family, colleagues, and friends who helped you.

All level 1 and 2 headings should be included in your table of contents . That means the titles of your chapters and the main sections within them.

The contents should also include all appendices and the lists of tables and figures, if applicable, as well as your reference list .

Do not include the acknowledgements or abstract   in the table of contents.

To automatically insert a table of contents in Microsoft Word, follow these steps:

• Apply heading styles throughout the document.
• In the references section in the ribbon, locate the Table of Contents group.
• Click the arrow next to the Table of Contents icon and select Custom Table of Contents.
• Select which levels of headings you would like to include in the table of contents.

Make sure to update your table of contents if you move text or change headings. To update, simply right click and select Update Field.

The table of contents in a thesis or dissertation always goes between your abstract and your introduction.

An abbreviation is a shortened version of an existing word, such as Dr for Doctor. In contrast, an acronym uses the first letter of each word to create a wholly new word, such as UNESCO (an acronym for the United Nations Educational, Scientific and Cultural Organization).

Your dissertation sometimes contains a list of abbreviations .

As a rule of thumb, write the explanation in full the first time you use an acronym or abbreviation. You can then proceed with the shortened version. However, if the abbreviation is very common (like UK or PC), then you can just use the abbreviated version straight away.

Be sure to add each abbreviation in your list of abbreviations !

If you only used a few abbreviations in your thesis or dissertation, you don’t necessarily need to include a list of abbreviations .

If your abbreviations are numerous, or if you think they won’t be known to your audience, it’s never a bad idea to add one. They can also improve readability, minimising confusion about abbreviations unfamiliar to your reader.

A list of abbreviations is a list of all the abbreviations you used in your thesis or dissertation. It should appear at the beginning of your document, immediately after your table of contents . It should always be in alphabetical order.

Fishbone diagrams have a few different names that are used interchangeably, including herringbone diagram, cause-and-effect diagram, and Ishikawa diagram.

These are all ways to refer to the same thing– a problem-solving approach that uses a fish-shaped diagram to model possible root causes of problems and troubleshoot solutions.

Fishbone diagrams (also called herringbone diagrams, cause-and-effect diagrams, and Ishikawa diagrams) are most popular in fields of quality management. They are also commonly used in nursing and healthcare, or as a brainstorming technique for students.

Some synonyms and near synonyms of among include:

• In the company of
• In the middle of
• Surrounded by

Some synonyms and near synonyms of between  include:

• In the space separating
• In the time separating

In spite of   is a preposition used to mean ‘ regardless of ‘, ‘notwithstanding’, or ‘even though’.

It’s always used in a subordinate clause to contrast with the information given in the main clause of a sentence (e.g., ‘Amy continued to watch TV, in spite of the time’).

Despite   is a preposition used to mean ‘ regardless of ‘, ‘notwithstanding’, or ‘even though’.

It’s used in a subordinate clause to contrast with information given in the main clause of a sentence (e.g., ‘Despite the stress, Joe loves his job’).

‘Log in’ is a phrasal verb meaning ‘connect to an electronic device, system, or app’. The preposition ‘to’ is often used directly after the verb; ‘in’ and ‘to’ should be written as two separate words (e.g., ‘ log in to the app to update privacy settings’).

‘Log into’ is sometimes used instead of ‘log in to’, but this is generally considered incorrect (as is ‘login to’).

Some synonyms and near synonyms of ensure include:

• Make certain

Some synonyms and near synonyms of assure  include:

Rest assured is an expression meaning ‘you can be certain’ (e.g., ‘Rest assured, I will find your cat’). ‘Assured’ is the adjectival form of the verb assure , meaning ‘convince’ or ‘persuade’.

Some synonyms and near synonyms for council include:

There are numerous synonyms and near synonyms for the two meanings of counsel :

AI writing tools can be used to perform a variety of tasks.

Generative AI writing tools (like ChatGPT ) generate text based on human inputs and can be used for interactive learning, to provide feedback, or to generate research questions or outlines.

These tools can also be used to paraphrase or summarise text or to identify grammar and punctuation mistakes. Y ou can also use Scribbr’s free paraphrasing tool , summarising tool , and grammar checker , which are designed specifically for these purposes.

Using AI writing tools (like ChatGPT ) to write your essay is usually considered plagiarism and may result in penalisation, unless it is allowed by your university. Text generated by AI tools is based on existing texts and therefore cannot provide unique insights. Furthermore, these outputs sometimes contain factual inaccuracies or grammar mistakes.

However, AI writing tools can be used effectively as a source of feedback and inspiration for your writing (e.g., to generate research questions ). Other AI tools, like grammar checkers, can help identify and eliminate grammar and punctuation mistakes to enhance your writing.

The Scribbr Knowledge Base is a collection of free resources to help you succeed in academic research, writing, and citation. Every week, we publish helpful step-by-step guides, clear examples, simple templates, engaging videos, and more.

The Knowledge Base is for students at all levels. Whether you’re writing your first essay, working on your bachelor’s or master’s dissertation, or getting to grips with your PhD research, we’ve got you covered.

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The consequences of plagiarism vary depending on the type of plagiarism and the context in which it occurs. For example, submitting a whole paper by someone else will have the most severe consequences, while accidental citation errors are considered less serious.

If you’re a student, then you might fail the course, be suspended or expelled, or be obligated to attend a workshop on plagiarism. It depends on whether it’s your first offence or you’ve done it before.

As an academic or professional, plagiarising seriously damages your reputation. You might also lose your research funding or your job, and you could even face legal consequences for copyright infringement.

Paraphrasing without crediting the original author is a form of plagiarism , because you’re presenting someone else’s ideas as if they were your own.

However, paraphrasing is not plagiarism if you correctly reference the source . This means including an in-text referencing and a full reference , formatted according to your required citation style (e.g., Harvard , Vancouver ).

As well as referencing your source, make sure that any paraphrased text is completely rewritten in your own words.

Accidental plagiarism is one of the most common examples of plagiarism . Perhaps you forgot to cite a source, or paraphrased something a bit too closely. Maybe you can’t remember where you got an idea from, and aren’t totally sure if it’s original or not.

These all count as plagiarism, even though you didn’t do it on purpose. When in doubt, make sure you’re citing your sources . Also consider running your work through a plagiarism checker tool prior to submission, which work by using advanced database software to scan for matches between your text and existing texts.

Scribbr’s Plagiarism Checker takes less than 10 minutes and can help you turn in your paper with confidence.

The accuracy depends on the plagiarism checker you use. Per our in-depth research , Scribbr is the most accurate plagiarism checker. Many free plagiarism checkers fail to detect all plagiarism or falsely flag text as plagiarism.

Plagiarism checkers work by using advanced database software to scan for matches between your text and existing texts. Their accuracy is determined by two factors: the algorithm (which recognises the plagiarism) and the size of the database (with which your document is compared).

To avoid plagiarism when summarising an article or other source, follow these two rules:

• Write the summary entirely in your own words by   paraphrasing the author’s ideas.
• Reference the source with an in-text citation and a full reference so your reader can easily find the original text.

Plagiarism can be detected by your professor or readers if the tone, formatting, or style of your text is different in different parts of your paper, or if they’re familiar with the plagiarised source.

Many universities also use   plagiarism detection software like Turnitin’s, which compares your text to a large database of other sources, flagging any similarities that come up.

It can be easier than you think to commit plagiarism by accident. Consider using a   plagiarism checker prior to submitting your essay to ensure you haven’t missed any citations.

Some examples of plagiarism include:

• Copying and pasting a Wikipedia article into the body of an assignment
• Quoting a source without including a citation
• Not paraphrasing a source properly (e.g. maintaining wording too close to the original)
• Forgetting to cite the source of an idea

The most surefire way to   avoid plagiarism is to always cite your sources . When in doubt, cite!

Global plagiarism means taking an entire work written by someone else and passing it off as your own. This can include getting someone else to write an essay or assignment for you, or submitting a text you found online as your own work.

Global plagiarism is one of the most serious types of plagiarism because it involves deliberately and directly lying about the authorship of a work. It can have severe consequences for students and professionals alike.

Verbatim plagiarism means copying text from a source and pasting it directly into your own document without giving proper credit.

If the structure and the majority of the words are the same as in the original source, then you are committing verbatim plagiarism. This is the case even if you delete a few words or replace them with synonyms.

If you want to use an author’s exact words, you need to quote the original source by putting the copied text in quotation marks and including an   in-text citation .

Patchwork plagiarism , also called mosaic plagiarism, means copying phrases, passages, or ideas from various existing sources and combining them to create a new text. This includes slightly rephrasing some of the content, while keeping many of the same words and the same structure as the original.

While this type of plagiarism is more insidious than simply copying and pasting directly from a source, plagiarism checkers like Turnitin’s can still easily detect it.

To avoid plagiarism in any form, remember to reference your sources .

Yes, reusing your own work without citation is considered self-plagiarism . This can range from resubmitting an entire assignment to reusing passages or data from something you’ve handed in previously.

Self-plagiarism often has the same consequences as other types of plagiarism . If you want to reuse content you wrote in the past, make sure to check your university’s policy or consult your professor.

If you are reusing content or data you used in a previous assignment, make sure to cite yourself. You can cite yourself the same way you would cite any other source: simply follow the directions for the citation style you are using.

Keep in mind that reusing prior content can be considered self-plagiarism , so make sure you ask your instructor or consult your university’s handbook prior to doing so.

Most institutions have an internal database of previously submitted student assignments. Turnitin can check for self-plagiarism by comparing your paper against this database. If you’ve reused parts of an assignment you already submitted, it will flag any similarities as potential plagiarism.

Online plagiarism checkers don’t have access to your institution’s database, so they can’t detect self-plagiarism of unpublished work. If you’re worried about accidentally self-plagiarising, you can use Scribbr’s Self-Plagiarism Checker to upload your unpublished documents and check them for similarities.

Plagiarism has serious consequences and can be illegal in certain scenarios.

While most of the time plagiarism in an undergraduate setting is not illegal, plagiarism or self-plagiarism in a professional academic setting can lead to legal action, including copyright infringement and fraud. Many scholarly journals do not allow you to submit the same work to more than one journal, and if you do not credit a coauthor, you could be legally defrauding them.

Even if you aren’t breaking the law, plagiarism can seriously impact your academic career. While the exact consequences of plagiarism vary by institution and severity, common consequences include a lower grade, automatically failing a course, academic suspension or probation, and even expulsion.

Self-plagiarism means recycling work that you’ve previously published or submitted as an assignment. It’s considered academic dishonesty to present something as brand new when you’ve already gotten credit and perhaps feedback for it in the past.

If you want to refer to ideas or data from previous work, be sure to cite yourself.

Academic integrity means being honest, ethical, and thorough in your academic work. To maintain academic integrity, you should avoid misleading your readers about any part of your research and refrain from offences like plagiarism and contract cheating, which are examples of academic misconduct.

Academic dishonesty refers to deceitful or misleading behavior in an academic setting. Academic dishonesty can occur intentionally or unintentionally, and it varies in severity.

It can encompass paying for a pre-written essay, cheating on an exam, or committing plagiarism . It can also include helping others cheat, copying a friend’s homework answers, or even pretending to be sick to miss an exam.

Academic dishonesty doesn’t just occur in a classroom setting, but also in research and other academic-adjacent fields.

Consequences of academic dishonesty depend on the severity of the offence and your institution’s policy. They can range from a warning for a first offence to a failing grade in a course to expulsion from your university.

For those in certain fields, such as nursing, engineering, or lab sciences, not learning fundamentals properly can directly impact the health and safety of others. For those working in academia or research, academic dishonesty impacts your professional reputation, leading others to doubt your future work.

Academic dishonesty can be intentional or unintentional, ranging from something as simple as claiming to have read something you didn’t to copying your neighbour’s answers on an exam.

You can commit academic dishonesty with the best of intentions, such as helping a friend cheat on a paper. Severe academic dishonesty can include buying a pre-written essay or the answers to a multiple-choice test, or falsifying a medical emergency to avoid taking a final exam.

Plagiarism means presenting someone else’s work as your own without giving proper credit to the original author. In academic writing, plagiarism involves using words, ideas, or information from a source without including a citation .

Plagiarism can have serious consequences , even when it’s done accidentally. To avoid plagiarism, it’s important to keep track of your sources and cite them correctly.

Common knowledge does not need to be cited. However, you should be extra careful when deciding what counts as common knowledge.

Common knowledge encompasses information that the average educated reader would accept as true without needing the extra validation of a source or citation.

Common knowledge should be widely known, undisputed, and easily verified. When in doubt, always cite your sources.

Most online plagiarism checkers only have access to public databases, whose software doesn’t allow you to compare two documents for plagiarism.

However, in addition to our Plagiarism Checker , Scribbr also offers an Self-Plagiarism Checker . This is an add-on tool that lets you compare your paper with unpublished or private documents. This way you can rest assured that you haven’t unintentionally plagiarised or self-plagiarised .

Compare two sources for plagiarism

The research methods you use depend on the type of data you need to answer your research question .

• If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts, and meanings, use qualitative methods .
• If you want to analyse a large amount of readily available data, use secondary data. If you want data specific to your purposes with control over how they are generated, collect primary data.
• If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

Methodology refers to the overarching strategy and rationale of your research project . It involves studying the methods used in your field and the theories or principles behind them, in order to develop an approach that matches your objectives.

Methods are the specific tools and procedures you use to collect and analyse data (e.g. experiments, surveys , and statistical tests ).

In shorter scientific papers, where the aim is to report the findings of a specific study, you might simply describe what you did in a methods section .

In a longer or more complex research project, such as a thesis or dissertation , you will probably include a methodology section , where you explain your approach to answering the research questions and cite relevant sources to support your choice of methods.

In mixed methods research , you use both qualitative and quantitative data collection and analysis methods to answer your research question .

Data collection is the systematic process by which observations or measurements are gathered in research. It is used in many different contexts by academics, governments, businesses, and other organisations.

There are various approaches to qualitative data analysis , but they all share five steps in common:

• Prepare and organise your data.
• Review and explore your data.
• Develop a data coding system.
• Assign codes to the data.
• Identify recurring themes.

The specifics of each step depend on the focus of the analysis. Some common approaches include textual analysis , thematic analysis , and discourse analysis .

There are five common approaches to qualitative research :

• Grounded theory involves collecting data in order to develop new theories.
• Ethnography involves immersing yourself in a group or organisation to understand its culture.
• Narrative research involves interpreting stories to understand how people make sense of their experiences and perceptions.
• Phenomenological research involves investigating phenomena through people’s lived experiences.
• Action research links theory and practice in several cycles to drive innovative changes.

Hypothesis testing is a formal procedure for investigating our ideas about the world using statistics. It is used by scientists to test specific predictions, called hypotheses , by calculating how likely it is that a pattern or relationship between variables could have arisen by chance.

Operationalisation means turning abstract conceptual ideas into measurable observations.

For example, the concept of social anxiety isn’t directly observable, but it can be operationally defined in terms of self-rating scores, behavioural avoidance of crowded places, or physical anxiety symptoms in social situations.

Before collecting data , it’s important to consider how you will operationalise the variables that you want to measure.

Triangulation in research means using multiple datasets, methods, theories and/or investigators to address a research question. It’s a research strategy that can help you enhance the validity and credibility of your findings.

Triangulation is mainly used in qualitative research , but it’s also commonly applied in quantitative research . Mixed methods research always uses triangulation.

These are four of the most common mixed methods designs :

• Convergent parallel: Quantitative and qualitative data are collected at the same time and analysed separately. After both analyses are complete, compare your results to draw overall conclusions. 
• Embedded: Quantitative and qualitative data are collected at the same time, but within a larger quantitative or qualitative design. One type of data is secondary to the other.
• Explanatory sequential: Quantitative data is collected and analysed first, followed by qualitative data. You can use this design if you think your qualitative data will explain and contextualise your quantitative findings.
• Exploratory sequential: Qualitative data is collected and analysed first, followed by quantitative data. You can use this design if you think the quantitative data will confirm or validate your qualitative findings.

An observational study could be a good fit for your research if your research question is based on things you observe. If you have ethical, logistical, or practical concerns that make an experimental design challenging, consider an observational study. Remember that in an observational study, it is critical that there be no interference or manipulation of the research subjects. Since it’s not an experiment, there are no control or treatment groups either.

The key difference between observational studies and experiments is that, done correctly, an observational study will never influence the responses or behaviours of participants. Experimental designs will have a treatment condition applied to at least a portion of participants.

Exploratory research explores the main aspects of a new or barely researched question.

Explanatory research explains the causes and effects of an already widely researched question.

Experimental designs are a set of procedures that you plan in order to examine the relationship between variables that interest you.

To design a successful experiment, first identify:

• A testable hypothesis
• One or more independent variables that you will manipulate
• One or more dependent variables that you will measure

When designing the experiment, first decide:

• How your variable(s) will be manipulated
• How you will control for any potential confounding or lurking variables
• How many subjects you will include
• How you will assign treatments to your subjects

There are four main types of triangulation :

• Data triangulation : Using data from different times, spaces, and people
• Investigator triangulation : Involving multiple researchers in collecting or analysing data
• Theory triangulation : Using varying theoretical perspectives in your research
• Methodological triangulation : Using different methodologies to approach the same topic

Triangulation can help:

• Reduce bias that comes from using a single method, theory, or investigator
• Enhance validity by approaching the same topic with different tools
• Establish credibility by giving you a complete picture of the research problem

But triangulation can also pose problems:

• It’s time-consuming and labour-intensive, often involving an interdisciplinary team.
• Your results may be inconsistent or even contradictory.

A confounding variable , also called a confounder or confounding factor, is a third variable in a study examining a potential cause-and-effect relationship.

A confounding variable is related to both the supposed cause and the supposed effect of the study. It can be difficult to separate the true effect of the independent variable from the effect of the confounding variable.

In your research design , it’s important to identify potential confounding variables and plan how you will reduce their impact.

In a between-subjects design , every participant experiences only one condition, and researchers assess group differences between participants in various conditions.

In a within-subjects design , each participant experiences all conditions, and researchers test the same participants repeatedly for differences between conditions.

The word ‘between’ means that you’re comparing different conditions between groups, while the word ‘within’ means you’re comparing different conditions within the same group.

A quasi-experiment is a type of research design that attempts to establish a cause-and-effect relationship. The main difference between this and a true experiment is that the groups are not randomly assigned.

In experimental research, random assignment is a way of placing participants from your sample into different groups using randomisation. With this method, every member of the sample has a known or equal chance of being placed in a control group or an experimental group.

Quasi-experimental design is most useful in situations where it would be unethical or impractical to run a true experiment .

Quasi-experiments have lower internal validity than true experiments, but they often have higher external validity  as they can use real-world interventions instead of artificial laboratory settings.

Within-subjects designs have many potential threats to internal validity , but they are also very statistically powerful .

Advantages:

• Only requires small samples
• Statistically powerful
• Removes the effects of individual differences on the outcomes

Disadvantages:

• Internal validity threats reduce the likelihood of establishing a direct relationship between variables
• Time-related effects, such as growth, can influence the outcomes
• Carryover effects mean that the specific order of different treatments affect the outcomes

Yes. Between-subjects and within-subjects designs can be combined in a single study when you have two or more independent variables (a factorial design). In a mixed factorial design, one variable is altered between subjects and another is altered within subjects.

In a factorial design, multiple independent variables are tested.

If you test two variables, each level of one independent variable is combined with each level of the other independent variable to create different conditions.

While a between-subjects design has fewer threats to internal validity , it also requires more participants for high statistical power than a within-subjects design .

• Prevents carryover effects of learning and fatigue.
• Shorter study duration.
• Needs larger samples for high power.
• Uses more resources to recruit participants, administer sessions, cover costs, etc.
• Individual differences may be an alternative explanation for results.

Samples are used to make inferences about populations . Samples are easier to collect data from because they are practical, cost-effective, convenient, and manageable.

Probability sampling means that every member of the target population has a known chance of being included in the sample.

Probability sampling methods include simple random sampling , systematic sampling , stratified sampling , and cluster sampling .

In non-probability sampling , the sample is selected based on non-random criteria, and not every member of the population has a chance of being included.

Common non-probability sampling methods include convenience sampling , voluntary response sampling, purposive sampling , snowball sampling , and quota sampling .

In multistage sampling , or multistage cluster sampling, you draw a sample from a population using smaller and smaller groups at each stage.

This method is often used to collect data from a large, geographically spread group of people in national surveys, for example. You take advantage of hierarchical groupings (e.g., from county to city to neighbourhood) to create a sample that’s less expensive and time-consuming to collect data from.

Sampling bias occurs when some members of a population are systematically more likely to be selected in a sample than others.

Simple random sampling is a type of probability sampling in which the researcher randomly selects a subset of participants from a population . Each member of the population has an equal chance of being selected. Data are then collected from as large a percentage as possible of this random subset.

The American Community Survey  is an example of simple random sampling . In order to collect detailed data on the population of the US, the Census Bureau officials randomly select 3.5 million households per year and use a variety of methods to convince them to fill out the survey.

If properly implemented, simple random sampling is usually the best sampling method for ensuring both internal and external validity . However, it can sometimes be impractical and expensive to implement, depending on the size of the population to be studied,

If you have a list of every member of the population and the ability to reach whichever members are selected, you can use simple random sampling.

Cluster sampling is more time- and cost-efficient than other probability sampling methods , particularly when it comes to large samples spread across a wide geographical area.

However, it provides less statistical certainty than other methods, such as simple random sampling , because it is difficult to ensure that your clusters properly represent the population as a whole.

There are three types of cluster sampling : single-stage, double-stage and multi-stage clustering. In all three types, you first divide the population into clusters, then randomly select clusters for use in your sample.

• In single-stage sampling , you collect data from every unit within the selected clusters.
• In double-stage sampling , you select a random sample of units from within the clusters.
• In multi-stage sampling , you repeat the procedure of randomly sampling elements from within the clusters until you have reached a manageable sample.

Cluster sampling is a probability sampling method in which you divide a population into clusters, such as districts or schools, and then randomly select some of these clusters as your sample.

The clusters should ideally each be mini-representations of the population as a whole.

In multistage sampling , you can use probability or non-probability sampling methods.

For a probability sample, you have to probability sampling at every stage. You can mix it up by using simple random sampling , systematic sampling , or stratified sampling to select units at different stages, depending on what is applicable and relevant to your study.

Multistage sampling can simplify data collection when you have large, geographically spread samples, and you can obtain a probability sample without a complete sampling frame.

But multistage sampling may not lead to a representative sample, and larger samples are needed for multistage samples to achieve the statistical properties of simple random samples .

In stratified sampling , researchers divide subjects into subgroups called strata based on characteristics that they share (e.g., race, gender, educational attainment).

Once divided, each subgroup is randomly sampled using another probability sampling method .

You should use stratified sampling when your sample can be divided into mutually exclusive and exhaustive subgroups that you believe will take on different mean values for the variable that you’re studying.

Using stratified sampling will allow you to obtain more precise (with lower variance ) statistical estimates of whatever you are trying to measure.

For example, say you want to investigate how income differs based on educational attainment, but you know that this relationship can vary based on race. Using stratified sampling, you can ensure you obtain a large enough sample from each racial group, allowing you to draw more precise conclusions.

Yes, you can create a stratified sample using multiple characteristics, but you must ensure that every participant in your study belongs to one and only one subgroup. In this case, you multiply the numbers of subgroups for each characteristic to get the total number of groups.

For example, if you were stratifying by location with three subgroups (urban, rural, or suburban) and marital status with five subgroups (single, divorced, widowed, married, or partnered), you would have 3 × 5 = 15 subgroups.

There are three key steps in systematic sampling :

• Define and list your population , ensuring that it is not ordered in a cyclical or periodic order.
• Decide on your sample size and calculate your interval, k , by dividing your population by your target sample size.
• Choose every k th member of the population as your sample.

Systematic sampling is a probability sampling method where researchers select members of the population at a regular interval – for example, by selecting every 15th person on a list of the population. If the population is in a random order, this can imitate the benefits of simple random sampling .

Populations are used when a research question requires data from every member of the population. This is usually only feasible when the population is small and easily accessible.

A statistic refers to measures about the sample , while a parameter refers to measures about the population .

A sampling error is the difference between a population parameter and a sample statistic .

There are eight threats to internal validity : history, maturation, instrumentation, testing, selection bias , regression to the mean, social interaction, and attrition .

Internal validity is the extent to which you can be confident that a cause-and-effect relationship established in a study cannot be explained by other factors.

Attrition bias is a threat to internal validity . In experiments, differential rates of attrition between treatment and control groups can skew results.

This bias can affect the relationship between your independent and dependent variables . It can make variables appear to be correlated when they are not, or vice versa.

The external validity of a study is the extent to which you can generalise your findings to different groups of people, situations, and measures.

The two types of external validity are population validity (whether you can generalise to other groups of people) and ecological validity (whether you can generalise to other situations and settings).

There are seven threats to external validity : selection bias , history, experimenter effect, Hawthorne effect , testing effect, aptitude-treatment, and situation effect.

Attrition bias can skew your sample so that your final sample differs significantly from your original sample. Your sample is biased because some groups from your population are underrepresented.

With a biased final sample, you may not be able to generalise your findings to the original population that you sampled from, so your external validity is compromised.

Construct validity is about how well a test measures the concept it was designed to evaluate. It’s one of four types of measurement validity , which includes construct validity, face validity , and criterion validity.

There are two subtypes of construct validity.

• Convergent validity : The extent to which your measure corresponds to measures of related constructs
• Discriminant validity: The extent to which your measure is unrelated or negatively related to measures of distinct constructs

When designing or evaluating a measure, construct validity helps you ensure you’re actually measuring the construct you’re interested in. If you don’t have construct validity, you may inadvertently measure unrelated or distinct constructs and lose precision in your research.

Construct validity is often considered the overarching type of measurement validity ,  because it covers all of the other types. You need to have face validity , content validity, and criterion validity to achieve construct validity.

Statistical analyses are often applied to test validity with data from your measures. You test convergent validity and discriminant validity with correlations to see if results from your test are positively or negatively related to those of other established tests.

You can also use regression analyses to assess whether your measure is actually predictive of outcomes that you expect it to predict theoretically. A regression analysis that supports your expectations strengthens your claim of construct validity .

Face validity is about whether a test appears to measure what it’s supposed to measure. This type of validity is concerned with whether a measure seems relevant and appropriate for what it’s assessing only on the surface.

Face validity is important because it’s a simple first step to measuring the overall validity of a test or technique. It’s a relatively intuitive, quick, and easy way to start checking whether a new measure seems useful at first glance.

Good face validity means that anyone who reviews your measure says that it seems to be measuring what it’s supposed to. With poor face validity, someone reviewing your measure may be left confused about what you’re measuring and why you’re using this method.

It’s often best to ask a variety of people to review your measurements. You can ask experts, such as other researchers, or laypeople, such as potential participants, to judge the face validity of tests.

While experts have a deep understanding of research methods , the people you’re studying can provide you with valuable insights you may have missed otherwise.

There are many different types of inductive reasoning that people use formally or informally.

Here are a few common types:

• Inductive generalisation : You use observations about a sample to come to a conclusion about the population it came from.
• Statistical generalisation: You use specific numbers about samples to make statements about populations.
• Causal reasoning: You make cause-and-effect links between different things.
• Sign reasoning: You make a conclusion about a correlational relationship between different things.
• Analogical reasoning: You make a conclusion about something based on its similarities to something else.

Inductive reasoning is a bottom-up approach, while deductive reasoning is top-down.

Inductive reasoning takes you from the specific to the general, while in deductive reasoning, you make inferences by going from general premises to specific conclusions.

In inductive research , you start by making observations or gathering data. Then, you take a broad scan of your data and search for patterns. Finally, you make general conclusions that you might incorporate into theories.

Inductive reasoning is a method of drawing conclusions by going from the specific to the general. It’s usually contrasted with deductive reasoning, where you proceed from general information to specific conclusions.

Inductive reasoning is also called inductive logic or bottom-up reasoning.

Deductive reasoning is a logical approach where you progress from general ideas to specific conclusions. It’s often contrasted with inductive reasoning , where you start with specific observations and form general conclusions.

Deductive reasoning is also called deductive logic.

Deductive reasoning is commonly used in scientific research, and it’s especially associated with quantitative research .

In research, you might have come across something called the hypothetico-deductive method . It’s the scientific method of testing hypotheses to check whether your predictions are substantiated by real-world data.

A dependent variable is what changes as a result of the independent variable manipulation in experiments . It’s what you’re interested in measuring, and it ‘depends’ on your independent variable.

In statistics, dependent variables are also called:

• Response variables (they respond to a change in another variable)
• Outcome variables (they represent the outcome you want to measure)
• Left-hand-side variables (they appear on the left-hand side of a regression equation)

An independent variable is the variable you manipulate, control, or vary in an experimental study to explore its effects. It’s called ‘independent’ because it’s not influenced by any other variables in the study.

Independent variables are also called:

• Explanatory variables (they explain an event or outcome)
• Predictor variables (they can be used to predict the value of a dependent variable)
• Right-hand-side variables (they appear on the right-hand side of a regression equation)

A correlation is usually tested for two variables at a time, but you can test correlations between three or more variables.

On graphs, the explanatory variable is conventionally placed on the x -axis, while the response variable is placed on the y -axis.

• If you have quantitative variables , use a scatterplot or a line graph.
• If your response variable is categorical, use a scatterplot or a line graph.
• If your explanatory variable is categorical, use a bar graph.

The term ‘ explanatory variable ‘ is sometimes preferred over ‘ independent variable ‘ because, in real-world contexts, independent variables are often influenced by other variables. This means they aren’t totally independent.

Multiple independent variables may also be correlated with each other, so ‘explanatory variables’ is a more appropriate term.

The difference between explanatory and response variables is simple:

• An explanatory variable is the expected cause, and it explains the results.
• A response variable is the expected effect, and it responds to other variables.

There are 4 main types of extraneous variables :

• Demand characteristics : Environmental cues that encourage participants to conform to researchers’ expectations
• Experimenter effects : Unintentional actions by researchers that influence study outcomes
• Situational variables : Eenvironmental variables that alter participants’ behaviours
• Participant variables : Any characteristic or aspect of a participant’s background that could affect study results

An extraneous variable is any variable that you’re not investigating that can potentially affect the dependent variable of your research study.

A confounding variable is a type of extraneous variable that not only affects the dependent variable, but is also related to the independent variable.

‘Controlling for a variable’ means measuring extraneous variables and accounting for them statistically to remove their effects on other variables.

Researchers often model control variable data along with independent and dependent variable data in regression analyses and ANCOVAs . That way, you can isolate the control variable’s effects from the relationship between the variables of interest.

Control variables help you establish a correlational or causal relationship between variables by enhancing internal validity .

If you don’t control relevant extraneous variables , they may influence the outcomes of your study, and you may not be able to demonstrate that your results are really an effect of your independent variable .

A control variable is any variable that’s held constant in a research study. It’s not a variable of interest in the study, but it’s controlled because it could influence the outcomes.

In statistics, ordinal and nominal variables are both considered categorical variables .

Even though ordinal data can sometimes be numerical, not all mathematical operations can be performed on them.

In scientific research, concepts are the abstract ideas or phenomena that are being studied (e.g., educational achievement). Variables are properties or characteristics of the concept (e.g., performance at school), while indicators are ways of measuring or quantifying variables (e.g., yearly grade reports).

The process of turning abstract concepts into measurable variables and indicators is called operationalisation .

There are several methods you can use to decrease the impact of confounding variables on your research: restriction, matching, statistical control, and randomisation.

In restriction , you restrict your sample by only including certain subjects that have the same values of potential confounding variables.

In matching , you match each of the subjects in your treatment group with a counterpart in the comparison group. The matched subjects have the same values on any potential confounding variables, and only differ in the independent variable .

In statistical control , you include potential confounders as variables in your regression .

In randomisation , you randomly assign the treatment (or independent variable) in your study to a sufficiently large number of subjects, which allows you to control for all potential confounding variables.

A confounding variable is closely related to both the independent and dependent variables in a study. An independent variable represents the supposed cause , while the dependent variable is the supposed effect . A confounding variable is a third variable that influences both the independent and dependent variables.

Failing to account for confounding variables can cause you to wrongly estimate the relationship between your independent and dependent variables.

To ensure the internal validity of your research, you must consider the impact of confounding variables. If you fail to account for them, you might over- or underestimate the causal relationship between your independent and dependent variables , or even find a causal relationship where none exists.

Yes, but including more than one of either type requires multiple research questions .

For example, if you are interested in the effect of a diet on health, you can use multiple measures of health: blood sugar, blood pressure, weight, pulse, and many more. Each of these is its own dependent variable with its own research question.

You could also choose to look at the effect of exercise levels as well as diet, or even the additional effect of the two combined. Each of these is a separate independent variable .

To ensure the internal validity of an experiment , you should only change one independent variable at a time.

No. The value of a dependent variable depends on an independent variable, so a variable cannot be both independent and dependent at the same time. It must be either the cause or the effect, not both.

You want to find out how blood sugar levels are affected by drinking diet cola and regular cola, so you conduct an experiment .

• The type of cola – diet or regular – is the independent variable .
• The level of blood sugar that you measure is the dependent variable – it changes depending on the type of cola.

Determining cause and effect is one of the most important parts of scientific research. It’s essential to know which is the cause – the independent variable – and which is the effect – the dependent variable.

Quantitative variables are any variables where the data represent amounts (e.g. height, weight, or age).

Categorical variables are any variables where the data represent groups. This includes rankings (e.g. finishing places in a race), classifications (e.g. brands of cereal), and binary outcomes (e.g. coin flips).

You need to know what type of variables you are working with to choose the right statistical test for your data and interpret your results .

Discrete and continuous variables are two types of quantitative variables :

• Discrete variables represent counts (e.g., the number of objects in a collection).
• Continuous variables represent measurable amounts (e.g., water volume or weight).

You can think of independent and dependent variables in terms of cause and effect: an independent variable is the variable you think is the cause , while a dependent variable is the effect .

In an experiment, you manipulate the independent variable and measure the outcome in the dependent variable. For example, in an experiment about the effect of nutrients on crop growth:

• The  independent variable  is the amount of nutrients added to the crop field.
• The  dependent variable is the biomass of the crops at harvest time.

Defining your variables, and deciding how you will manipulate and measure them, is an important part of experimental design .

Including mediators and moderators in your research helps you go beyond studying a simple relationship between two variables for a fuller picture of the real world. They are important to consider when studying complex correlational or causal relationships.

Mediators are part of the causal pathway of an effect, and they tell you how or why an effect takes place. Moderators usually help you judge the external validity of your study by identifying the limitations of when the relationship between variables holds.

If something is a mediating variable :

• It’s caused by the independent variable
• It influences the dependent variable
• When it’s taken into account, the statistical correlation between the independent and dependent variables is higher than when it isn’t considered

A confounder is a third variable that affects variables of interest and makes them seem related when they are not. In contrast, a mediator is the mechanism of a relationship between two variables: it explains the process by which they are related.

A mediator variable explains the process through which two variables are related, while a moderator variable affects the strength and direction of that relationship.

When conducting research, collecting original data has significant advantages:

• You can tailor data collection to your specific research aims (e.g., understanding the needs of your consumers or user testing your website).
• You can control and standardise the process for high reliability and validity (e.g., choosing appropriate measurements and sampling methods ).

However, there are also some drawbacks: data collection can be time-consuming, labour-intensive, and expensive. In some cases, it’s more efficient to use secondary data that has already been collected by someone else, but the data might be less reliable.

A structured interview is a data collection method that relies on asking questions in a set order to collect data on a topic. They are often quantitative in nature. Structured interviews are best used when:

• You already have a very clear understanding of your topic. Perhaps significant research has already been conducted, or you have done some prior research yourself, but you already possess a baseline for designing strong structured questions.
• You are constrained in terms of time or resources and need to analyse your data quickly and efficiently
• Your research question depends on strong parity between participants, with environmental conditions held constant

More flexible interview options include semi-structured interviews , unstructured interviews , and focus groups .

The interviewer effect is a type of bias that emerges when a characteristic of an interviewer (race, age, gender identity, etc.) influences the responses given by the interviewee.

There is a risk of an interviewer effect in all types of interviews , but it can be mitigated by writing really high-quality interview questions.

A semi-structured interview is a blend of structured and unstructured types of interviews. Semi-structured interviews are best used when:

• You have prior interview experience. Spontaneous questions are deceptively challenging, and it’s easy to accidentally ask a leading question or make a participant uncomfortable.
• Your research question is exploratory in nature. Participant answers can guide future research questions and help you develop a more robust knowledge base for future research.

An unstructured interview is the most flexible type of interview, but it is not always the best fit for your research topic.

Unstructured interviews are best used when:

• You are an experienced interviewer and have a very strong background in your research topic, since it is challenging to ask spontaneous, colloquial questions
• Your research question is exploratory in nature. While you may have developed hypotheses, you are open to discovering new or shifting viewpoints through the interview process.
• You are seeking descriptive data, and are ready to ask questions that will deepen and contextualise your initial thoughts and hypotheses
• Your research depends on forming connections with your participants and making them feel comfortable revealing deeper emotions, lived experiences, or thoughts

The four most common types of interviews are:

• Structured interviews : The questions are predetermined in both topic and order.
• Semi-structured interviews : A few questions are predetermined, but other questions aren’t planned.
• Unstructured interviews : None of the questions are predetermined.
• Focus group interviews : The questions are presented to a group instead of one individual.

A focus group is a research method that brings together a small group of people to answer questions in a moderated setting. The group is chosen due to predefined demographic traits, and the questions are designed to shed light on a topic of interest. It is one of four types of interviews .

Social desirability bias is the tendency for interview participants to give responses that will be viewed favourably by the interviewer or other participants. It occurs in all types of interviews and surveys , but is most common in semi-structured interviews , unstructured interviews , and focus groups .

Social desirability bias can be mitigated by ensuring participants feel at ease and comfortable sharing their views. Make sure to pay attention to your own body language and any physical or verbal cues, such as nodding or widening your eyes.

This type of bias in research can also occur in observations if the participants know they’re being observed. They might alter their behaviour accordingly.

As a rule of thumb, questions related to thoughts, beliefs, and feelings work well in focus groups . Take your time formulating strong questions, paying special attention to phrasing. Be careful to avoid leading questions , which can bias your responses.

Overall, your focus group questions should be:

• Open-ended and flexible
• Impossible to answer with ‘yes’ or ‘no’ (questions that start with ‘why’ or ‘how’ are often best)
• Unambiguous, getting straight to the point while still stimulating discussion
• Unbiased and neutral

The third variable and directionality problems are two main reasons why correlation isn’t causation .

The third variable problem means that a confounding variable affects both variables to make them seem causally related when they are not.

The directionality problem is when two variables correlate and might actually have a causal relationship, but it’s impossible to conclude which variable causes changes in the other.

Controlled experiments establish causality, whereas correlational studies only show associations between variables.

• In an experimental design , you manipulate an independent variable and measure its effect on a dependent variable. Other variables are controlled so they can’t impact the results.
• In a correlational design , you measure variables without manipulating any of them. You can test whether your variables change together, but you can’t be sure that one variable caused a change in another.

In general, correlational research is high in external validity while experimental research is high in internal validity .

A correlation coefficient is a single number that describes the strength and direction of the relationship between your variables.

Different types of correlation coefficients might be appropriate for your data based on their levels of measurement and distributions . The Pearson product-moment correlation coefficient (Pearson’s r ) is commonly used to assess a linear relationship between two quantitative variables.

A correlational research design investigates relationships between two variables (or more) without the researcher controlling or manipulating any of them. It’s a non-experimental type of quantitative research .

A correlation reflects the strength and/or direction of the association between two or more variables.

• A positive correlation means that both variables change in the same direction.
• A negative correlation means that the variables change in opposite directions.
• A zero correlation means there’s no relationship between the variables.

Longitudinal studies can last anywhere from weeks to decades, although they tend to be at least a year long.

The 1970 British Cohort Study , which has collected data on the lives of 17,000 Brits since their births in 1970, is one well-known example of a longitudinal study .

Longitudinal studies are better to establish the correct sequence of events, identify changes over time, and provide insight into cause-and-effect relationships, but they also tend to be more expensive and time-consuming than other types of studies.

Longitudinal studies and cross-sectional studies are two different types of research design . In a cross-sectional study you collect data from a population at a specific point in time; in a longitudinal study you repeatedly collect data from the same sample over an extended period of time.

Cross-sectional studies cannot establish a cause-and-effect relationship or analyse behaviour over a period of time. To investigate cause and effect, you need to do a longitudinal study or an experimental study .

Cross-sectional studies are less expensive and time-consuming than many other types of study. They can provide useful insights into a population’s characteristics and identify correlations for further research.

Sometimes only cross-sectional data are available for analysis; other times your research question may only require a cross-sectional study to answer it.

A hypothesis states your predictions about what your research will find. It is a tentative answer to your research question that has not yet been tested. For some research projects, you might have to write several hypotheses that address different aspects of your research question.

A hypothesis is not just a guess. It should be based on existing theories and knowledge. It also has to be testable, which means you can support or refute it through scientific research methods (such as experiments, observations, and statistical analysis of data).

A research hypothesis is your proposed answer to your research question. The research hypothesis usually includes an explanation (‘ x affects y because …’).

A statistical hypothesis, on the other hand, is a mathematical statement about a population parameter. Statistical hypotheses always come in pairs: the null and alternative hypotheses. In a well-designed study , the statistical hypotheses correspond logically to the research hypothesis.

Individual Likert-type questions are generally considered ordinal data , because the items have clear rank order, but don’t have an even distribution.

Overall Likert scale scores are sometimes treated as interval data. These scores are considered to have directionality and even spacing between them.

The type of data determines what statistical tests you should use to analyse your data.

A Likert scale is a rating scale that quantitatively assesses opinions, attitudes, or behaviours. It is made up of four or more questions that measure a single attitude or trait when response scores are combined.

To use a Likert scale in a survey , you present participants with Likert-type questions or statements, and a continuum of items, usually with five or seven possible responses, to capture their degree of agreement.

A questionnaire is a data collection tool or instrument, while a survey is an overarching research method that involves collecting and analysing data from people using questionnaires.

A true experiment (aka a controlled experiment) always includes at least one control group that doesn’t receive the experimental treatment.

However, some experiments use a within-subjects design to test treatments without a control group. In these designs, you usually compare one group’s outcomes before and after a treatment (instead of comparing outcomes between different groups).

For strong internal validity , it’s usually best to include a control group if possible. Without a control group, it’s harder to be certain that the outcome was caused by the experimental treatment and not by other variables.

An experimental group, also known as a treatment group, receives the treatment whose effect researchers wish to study, whereas a control group does not. They should be identical in all other ways.

In a controlled experiment , all extraneous variables are held constant so that they can’t influence the results. Controlled experiments require:

• A control group that receives a standard treatment, a fake treatment, or no treatment
• Random assignment of participants to ensure the groups are equivalent

Depending on your study topic, there are various other methods of controlling variables .

Questionnaires can be self-administered or researcher-administered.

Self-administered questionnaires can be delivered online or in paper-and-pen formats, in person or by post. All questions are standardised so that all respondents receive the same questions with identical wording.

Researcher-administered questionnaires are interviews that take place by phone, in person, or online between researchers and respondents. You can gain deeper insights by clarifying questions for respondents or asking follow-up questions.

You can organise the questions logically, with a clear progression from simple to complex, or randomly between respondents. A logical flow helps respondents process the questionnaire easier and quicker, but it may lead to bias. Randomisation can minimise the bias from order effects.

Closed-ended, or restricted-choice, questions offer respondents a fixed set of choices to select from. These questions are easier to answer quickly.

Open-ended or long-form questions allow respondents to answer in their own words. Because there are no restrictions on their choices, respondents can answer in ways that researchers may not have otherwise considered.

Naturalistic observation is a qualitative research method where you record the behaviours of your research subjects in real-world settings. You avoid interfering or influencing anything in a naturalistic observation.

You can think of naturalistic observation as ‘people watching’ with a purpose.

Naturalistic observation is a valuable tool because of its flexibility, external validity , and suitability for topics that can’t be studied in a lab setting.

The downsides of naturalistic observation include its lack of scientific control , ethical considerations , and potential for bias from observers and subjects.

You can use several tactics to minimise observer bias .

• Use masking (blinding) to hide the purpose of your study from all observers.
• Triangulate your data with different data collection methods or sources.
• Use multiple observers and ensure inter-rater reliability.
• Train your observers to make sure data is consistently recorded between them.
• Standardise your observation procedures to make sure they are structured and clear.

The observer-expectancy effect occurs when researchers influence the results of their own study through interactions with participants.

Researchers’ own beliefs and expectations about the study results may unintentionally influence participants through demand characteristics .

Observer bias occurs when a researcher’s expectations, opinions, or prejudices influence what they perceive or record in a study. It usually affects studies when observers are aware of the research aims or hypotheses. This type of research bias is also called detection bias or ascertainment bias .

Data cleaning is necessary for valid and appropriate analyses. Dirty data contain inconsistencies or errors , but cleaning your data helps you minimise or resolve these.

Without data cleaning, you could end up with a Type I or II error in your conclusion. These types of erroneous conclusions can be practically significant with important consequences, because they lead to misplaced investments or missed opportunities.

Data cleaning involves spotting and resolving potential data inconsistencies or errors to improve your data quality. An error is any value (e.g., recorded weight) that doesn’t reflect the true value (e.g., actual weight) of something that’s being measured.

In this process, you review, analyse, detect, modify, or remove ‘dirty’ data to make your dataset ‘clean’. Data cleaning is also called data cleansing or data scrubbing.

Data cleaning takes place between data collection and data analyses. But you can use some methods even before collecting data.

For clean data, you should start by designing measures that collect valid data. Data validation at the time of data entry or collection helps you minimize the amount of data cleaning you’ll need to do.

After data collection, you can use data standardisation and data transformation to clean your data. You’ll also deal with any missing values, outliers, and duplicate values.

Clean data are valid, accurate, complete, consistent, unique, and uniform. Dirty data include inconsistencies and errors.

Dirty data can come from any part of the research process, including poor research design , inappropriate measurement materials, or flawed data entry.

Random assignment is used in experiments with a between-groups or independent measures design. In this research design, there’s usually a control group and one or more experimental groups. Random assignment helps ensure that the groups are comparable.

In general, you should always use random assignment in this type of experimental design when it is ethically possible and makes sense for your study topic.

Random selection, or random sampling , is a way of selecting members of a population for your study’s sample.

In contrast, random assignment is a way of sorting the sample into control and experimental groups.

Random sampling enhances the external validity or generalisability of your results, while random assignment improves the internal validity of your study.

To implement random assignment , assign a unique number to every member of your study’s sample .

Then, you can use a random number generator or a lottery method to randomly assign each number to a control or experimental group. You can also do so manually, by flipping a coin or rolling a die to randomly assign participants to groups.

Exploratory research is often used when the issue you’re studying is new or when the data collection process is challenging for some reason.

You can use exploratory research if you have a general idea or a specific question that you want to study but there is no preexisting knowledge or paradigm with which to study it.

Exploratory research is a methodology approach that explores research questions that have not previously been studied in depth. It is often used when the issue you’re studying is new, or the data collection process is challenging in some way.

Explanatory research is used to investigate how or why a phenomenon occurs. Therefore, this type of research is often one of the first stages in the research process , serving as a jumping-off point for future research.

Explanatory research is a research method used to investigate how or why something occurs when only a small amount of information is available pertaining to that topic. It can help you increase your understanding of a given topic.

Blinding means hiding who is assigned to the treatment group and who is assigned to the control group in an experiment .

Blinding is important to reduce bias (e.g., observer bias , demand characteristics ) and ensure a study’s internal validity .

If participants know whether they are in a control or treatment group , they may adjust their behaviour in ways that affect the outcome that researchers are trying to measure. If the people administering the treatment are aware of group assignment, they may treat participants differently and thus directly or indirectly influence the final results.

• In a single-blind study , only the participants are blinded.
• In a double-blind study , both participants and experimenters are blinded.
• In a triple-blind study , the assignment is hidden not only from participants and experimenters, but also from the researchers analysing the data.

Many academic fields use peer review , largely to determine whether a manuscript is suitable for publication. Peer review enhances the credibility of the published manuscript.

However, peer review is also common in non-academic settings. The United Nations, the European Union, and many individual nations use peer review to evaluate grant applications. It is also widely used in medical and health-related fields as a teaching or quality-of-care measure.

Peer assessment is often used in the classroom as a pedagogical tool. Both receiving feedback and providing it are thought to enhance the learning process, helping students think critically and collaboratively.

Peer review can stop obviously problematic, falsified, or otherwise untrustworthy research from being published. It also represents an excellent opportunity to get feedback from renowned experts in your field.

It acts as a first defence, helping you ensure your argument is clear and that there are no gaps, vague terms, or unanswered questions for readers who weren’t involved in the research process.

Peer-reviewed articles are considered a highly credible source due to this stringent process they go through before publication.

In general, the peer review process follows the following steps:

• First, the author submits the manuscript to the editor.
• Reject the manuscript and send it back to author, or
• Send it onward to the selected peer reviewer(s)
• Next, the peer review process occurs. The reviewer provides feedback, addressing any major or minor issues with the manuscript, and gives their advice regarding what edits should be made.
• Lastly, the edited manuscript is sent back to the author. They input the edits, and resubmit it to the editor for publication.

Peer review is a process of evaluating submissions to an academic journal. Utilising rigorous criteria, a panel of reviewers in the same subject area decide whether to accept each submission for publication.

For this reason, academic journals are often considered among the most credible sources you can use in a research project – provided that the journal itself is trustworthy and well regarded.

Anonymity means you don’t know who the participants are, while confidentiality means you know who they are but remove identifying information from your research report. Both are important ethical considerations .

You can only guarantee anonymity by not collecting any personally identifying information – for example, names, phone numbers, email addresses, IP addresses, physical characteristics, photos, or videos.

You can keep data confidential by using aggregate information in your research report, so that you only refer to groups of participants rather than individuals.

Research misconduct means making up or falsifying data, manipulating data analyses, or misrepresenting results in research reports. It’s a form of academic fraud.

These actions are committed intentionally and can have serious consequences; research misconduct is not a simple mistake or a point of disagreement but a serious ethical failure.

Research ethics matter for scientific integrity, human rights and dignity, and collaboration between science and society. These principles make sure that participation in studies is voluntary, informed, and safe.

Ethical considerations in research are a set of principles that guide your research designs and practices. These principles include voluntary participation, informed consent, anonymity, confidentiality, potential for harm, and results communication.

Scientists and researchers must always adhere to a certain code of conduct when collecting data from others .

These considerations protect the rights of research participants, enhance research validity , and maintain scientific integrity.

A systematic review is secondary research because it uses existing research. You don’t collect new data yourself.

The two main types of social desirability bias are:

• Self-deceptive enhancement (self-deception): The tendency to see oneself in a favorable light without realizing it.
• Impression managemen t (other-deception): The tendency to inflate one’s abilities or achievement in order to make a good impression on other people.

Demand characteristics are aspects of experiments that may give away the research objective to participants. Social desirability bias occurs when participants automatically try to respond in ways that make them seem likeable in a study, even if it means misrepresenting how they truly feel.

Participants may use demand characteristics to infer social norms or experimenter expectancies and act in socially desirable ways, so you should try to control for demand characteristics wherever possible.

Response bias refers to conditions or factors that take place during the process of responding to surveys, affecting the responses. One type of response bias is social desirability bias .

When your population is large in size, geographically dispersed, or difficult to contact, it’s necessary to use a sampling method .

This allows you to gather information from a smaller part of the population, i.e. the sample, and make accurate statements by using statistical analysis. A few sampling methods include simple random sampling , convenience sampling , and snowball sampling .

Stratified and cluster sampling may look similar, but bear in mind that groups created in cluster sampling are heterogeneous , so the individual characteristics in the cluster vary. In contrast, groups created in stratified sampling are homogeneous , as units share characteristics.

Relatedly, in cluster sampling you randomly select entire groups and include all units of each group in your sample. However, in stratified sampling, you select some units of all groups and include them in your sample. In this way, both methods can ensure that your sample is representative of the target population .

A sampling frame is a list of every member in the entire population . It is important that the sampling frame is as complete as possible, so that your sample accurately reflects your population.

Convenience sampling and quota sampling are both non-probability sampling methods. They both use non-random criteria like availability, geographical proximity, or expert knowledge to recruit study participants.

However, in convenience sampling, you continue to sample units or cases until you reach the required sample size.

In quota sampling, you first need to divide your population of interest into subgroups (strata) and estimate their proportions (quota) in the population. Then you can start your data collection , using convenience sampling to recruit participants, until the proportions in each subgroup coincide with the estimated proportions in the population.

Random sampling or probability sampling is based on random selection. This means that each unit has an equal chance (i.e., equal probability) of being included in the sample.

On the other hand, convenience sampling involves stopping people at random, which means that not everyone has an equal chance of being selected depending on the place, time, or day you are collecting your data.

Stratified sampling and quota sampling both involve dividing the population into subgroups and selecting units from each subgroup. The purpose in both cases is to select a representative sample and/or to allow comparisons between subgroups.

The main difference is that in stratified sampling, you draw a random sample from each subgroup ( probability sampling ). In quota sampling you select a predetermined number or proportion of units, in a non-random manner ( non-probability sampling ).

Snowball sampling is best used in the following cases:

• If there is no sampling frame available (e.g., people with a rare disease)
• If the population of interest is hard to access or locate (e.g., people experiencing homelessness)
• If the research focuses on a sensitive topic (e.g., extra-marital affairs)

Snowball sampling relies on the use of referrals. Here, the researcher recruits one or more initial participants, who then recruit the next ones. 

Participants share similar characteristics and/or know each other. Because of this, not every member of the population has an equal chance of being included in the sample, giving rise to sampling bias .

Snowball sampling is a non-probability sampling method , where there is not an equal chance for every member of the population to be included in the sample .

This means that you cannot use inferential statistics and make generalisations – often the goal of quantitative research . As such, a snowball sample is not representative of the target population, and is usually a better fit for qualitative research .

Snowball sampling is a non-probability sampling method . Unlike probability sampling (which involves some form of random selection ), the initial individuals selected to be studied are the ones who recruit new participants.

Because not every member of the target population has an equal chance of being recruited into the sample, selection in snowball sampling is non-random.

Reproducibility and replicability are related terms.

• Reproducing research entails reanalysing the existing data in the same manner.
• Replicating (or repeating ) the research entails reconducting the entire analysis, including the collection of new data . 
• A successful reproduction shows that the data analyses were conducted in a fair and honest manner.
• A successful replication shows that the reliability of the results is high.

The reproducibility and replicability of a study can be ensured by writing a transparent, detailed method section and using clear, unambiguous language.

Convergent validity and discriminant validity are both subtypes of construct validity . Together, they help you evaluate whether a test measures the concept it was designed to measure.

• Convergent validity indicates whether a test that is designed to measure a particular construct correlates with other tests that assess the same or similar construct.
• Discriminant validity indicates whether two tests that should not be highly related to each other are indeed not related

You need to assess both in order to demonstrate construct validity. Neither one alone is sufficient for establishing construct validity.

Construct validity has convergent and discriminant subtypes. They assist determine if a test measures the intended notion.

Content validity shows you how accurately a test or other measurement method taps  into the various aspects of the specific construct you are researching.

In other words, it helps you answer the question: “does the test measure all aspects of the construct I want to measure?” If it does, then the test has high content validity.

The higher the content validity, the more accurate the measurement of the construct.

If the test fails to include parts of the construct, or irrelevant parts are included, the validity of the instrument is threatened, which brings your results into question.

Construct validity refers to how well a test measures the concept (or construct) it was designed to measure. Assessing construct validity is especially important when you’re researching concepts that can’t be quantified and/or are intangible, like introversion. To ensure construct validity your test should be based on known indicators of introversion ( operationalisation ).

On the other hand, content validity assesses how well the test represents all aspects of the construct. If some aspects are missing or irrelevant parts are included, the test has low content validity.

Face validity and content validity are similar in that they both evaluate how suitable the content of a test is. The difference is that face validity is subjective, and assesses content at surface level.

When a test has strong face validity, anyone would agree that the test’s questions appear to measure what they are intended to measure.

For example, looking at a 4th grade math test consisting of problems in which students have to add and multiply, most people would agree that it has strong face validity (i.e., it looks like a math test).

On the other hand, content validity evaluates how well a test represents all the aspects of a topic. Assessing content validity is more systematic and relies on expert evaluation. of each question, analysing whether each one covers the aspects that the test was designed to cover.

A 4th grade math test would have high content validity if it covered all the skills taught in that grade. Experts(in this case, math teachers), would have to evaluate the content validity by comparing the test to the learning objectives.

• Discriminant validity indicates whether two tests that should not be highly related to each other are indeed not related. This type of validity is also called divergent validity .

Criterion validity and construct validity are both types of measurement validity . In other words, they both show you how accurately a method measures something.

While construct validity is the degree to which a test or other measurement method measures what it claims to measure, criterion validity is the degree to which a test can predictively (in the future) or concurrently (in the present) measure something.

Construct validity is often considered the overarching type of measurement validity . You need to have face validity , content validity , and criterion validity in order to achieve construct validity.

Attrition refers to participants leaving a study. It always happens to some extent – for example, in randomised control trials for medical research.

Differential attrition occurs when attrition or dropout rates differ systematically between the intervention and the control group . As a result, the characteristics of the participants who drop out differ from the characteristics of those who stay in the study. Because of this, study results may be biased .

Criterion validity evaluates how well a test measures the outcome it was designed to measure. An outcome can be, for example, the onset of a disease.

Criterion validity consists of two subtypes depending on the time at which the two measures (the criterion and your test) are obtained:

• Concurrent validity is a validation strategy where the the scores of a test and the criterion are obtained at the same time
• Predictive validity is a validation strategy where the criterion variables are measured after the scores of the test

Validity tells you how accurately a method measures what it was designed to measure. There are 4 main types of validity :

• Construct validity : Does the test measure the construct it was designed to measure?
• Face validity : Does the test appear to be suitable for its objectives ?
• Content validity : Does the test cover all relevant parts of the construct it aims to measure.
• Criterion validity : Do the results accurately measure the concrete outcome they are designed to measure?

Convergent validity shows how much a measure of one construct aligns with other measures of the same or related constructs .

On the other hand, concurrent validity is about how a measure matches up to some known criterion or gold standard, which can be another measure.

Although both types of validity are established by calculating the association or correlation between a test score and another variable , they represent distinct validation methods.

The purpose of theory-testing mode is to find evidence in order to disprove, refine, or support a theory. As such, generalisability is not the aim of theory-testing mode.

Due to this, the priority of researchers in theory-testing mode is to eliminate alternative causes for relationships between variables . In other words, they prioritise internal validity over external validity , including ecological validity .

Inclusion and exclusion criteria are typically presented and discussed in the methodology section of your thesis or dissertation .

Inclusion and exclusion criteria are predominantly used in non-probability sampling . In purposive sampling and snowball sampling , restrictions apply as to who can be included in the sample .

Scope of research is determined at the beginning of your research process , prior to the data collection stage. Sometimes called “scope of study,” your scope delineates what will and will not be covered in your project. It helps you focus your work and your time, ensuring that you’ll be able to achieve your goals and outcomes.

Defining a scope can be very useful in any research project, from a research proposal to a thesis or dissertation . A scope is needed for all types of research: quantitative , qualitative , and mixed methods .

To define your scope of research, consider the following:

• Budget constraints or any specifics of grant funding
• Your proposed timeline and duration
• Specifics about your population of study, your proposed sample size , and the research methodology you’ll pursue
• Any inclusion and exclusion criteria
• Any anticipated control , extraneous , or confounding variables that could bias your research if not accounted for properly.

To make quantitative observations , you need to use instruments that are capable of measuring the quantity you want to observe. For example, you might use a ruler to measure the length of an object or a thermometer to measure its temperature.

Quantitative observations involve measuring or counting something and expressing the result in numerical form, while qualitative observations involve describing something in non-numerical terms, such as its appearance, texture, or color.

The Scribbr Reference Generator is developed using the open-source Citation Style Language (CSL) project and Frank Bennett’s citeproc-js . It’s the same technology used by dozens of other popular citation tools, including Mendeley and Zotero.

You can find all the citation styles and locales used in the Scribbr Reference Generator in our publicly accessible repository on Github .

To paraphrase effectively, don’t just take the original sentence and swap out some of the words for synonyms. Instead, try:

• Reformulating the sentence (e.g., change active to passive , or start from a different point)
• Combining information from multiple sentences into one
• Leaving out information from the original that isn’t relevant to your point
• Using synonyms where they don’t distort the meaning

The main point is to ensure you don’t just copy the structure of the original text, but instead reformulate the idea in your own words.

Plagiarism means using someone else’s words or ideas and passing them off as your own. Paraphrasing means putting someone else’s ideas into your own words.

So when does paraphrasing count as plagiarism?

• Paraphrasing is plagiarism if you don’t properly credit the original author.
• Paraphrasing is plagiarism if your text is too close to the original wording (even if you cite the source). If you directly copy a sentence or phrase, you should quote it instead.
• Paraphrasing  is not plagiarism if you put the author’s ideas completely into your own words and properly reference the source .

To present information from other sources in academic writing , it’s best to paraphrase in most cases. This shows that you’ve understood the ideas you’re discussing and incorporates them into your text smoothly.

It’s appropriate to quote when:

• Changing the phrasing would distort the meaning of the original text
• You want to discuss the author’s language choices (e.g., in literary analysis )
• You’re presenting a precise definition
• You’re looking in depth at a specific claim

A quote is an exact copy of someone else’s words, usually enclosed in quotation marks and credited to the original author or speaker.

Every time you quote a source , you must include a correctly formatted in-text citation . This looks slightly different depending on the citation style .

For example, a direct quote in APA is cited like this: ‘This is a quote’ (Streefkerk, 2020, p. 5).

Every in-text citation should also correspond to a full reference at the end of your paper.

In scientific subjects, the information itself is more important than how it was expressed, so quoting should generally be kept to a minimum. In the arts and humanities, however, well-chosen quotes are often essential to a good paper.

In social sciences, it varies. If your research is mainly quantitative , you won’t include many quotes, but if it’s more qualitative , you may need to quote from the data you collected .

As a general guideline, quotes should take up no more than 5–10% of your paper. If in doubt, check with your instructor or supervisor how much quoting is appropriate in your field.

If you’re quoting from a text that paraphrases or summarises other sources and cites them in parentheses , APA  recommends retaining the citations as part of the quote:

• Smith states that ‘the literature on this topic (Jones, 2015; Sill, 2019; Paulson, 2020) shows no clear consensus’ (Smith, 2019, p. 4).

Footnote or endnote numbers that appear within quoted text should be omitted.

If you want to cite an indirect source (one you’ve only seen quoted in another source), either locate the original source or use the phrase ‘as cited in’ in your citation.

A block quote is a long quote formatted as a separate ‘block’ of text. Instead of using quotation marks , you place the quote on a new line, and indent the entire quote to mark it apart from your own words.

APA uses block quotes for quotes that are 40 words or longer.

A credible source should pass the CRAAP test  and follow these guidelines:

• The information should be up to date and current.
• The author and publication should be a trusted authority on the subject you are researching.
• The sources the author cited should be easy to find, clear, and unbiased.
• For a web source, the URL and layout should signify that it is trustworthy.

Common examples of primary sources include interview transcripts , photographs, novels, paintings, films, historical documents, and official statistics.

Anything you directly analyze or use as first-hand evidence can be a primary source, including qualitative or quantitative data that you collected yourself.

Common examples of secondary sources include academic books, journal articles , reviews, essays , and textbooks.

Anything that summarizes, evaluates or interprets primary sources can be a secondary source. If a source gives you an overview of background information or presents another researcher’s ideas on your topic, it is probably a secondary source.

To determine if a source is primary or secondary, ask yourself:

• Was the source created by someone directly involved in the events you’re studying (primary), or by another researcher (secondary)?
• Does the source provide original information (primary), or does it summarize information from other sources (secondary)?
• Are you directly analyzing the source itself (primary), or only using it for background information (secondary)?

Some types of sources are nearly always primary: works of art and literature, raw statistical data, official documents and records, and personal communications (e.g. letters, interviews ). If you use one of these in your research, it is probably a primary source.

Primary sources are often considered the most credible in terms of providing evidence for your argument, as they give you direct evidence of what you are researching. However, it’s up to you to ensure the information they provide is reliable and accurate.

Always make sure to properly cite your sources to avoid plagiarism .

A fictional movie is usually a primary source. A documentary can be either primary or secondary depending on the context.

If you are directly analysing some aspect of the movie itself – for example, the cinematography, narrative techniques, or social context – the movie is a primary source.

If you use the movie for background information or analysis about your topic – for example, to learn about a historical event or a scientific discovery – the movie is a secondary source.

Whether it’s primary or secondary, always properly cite the movie in the citation style you are using. Learn how to create an MLA movie citation or an APA movie citation .

Articles in newspapers and magazines can be primary or secondary depending on the focus of your research.

In historical studies, old articles are used as primary sources that give direct evidence about the time period. In social and communication studies, articles are used as primary sources to analyse language and social relations (for example, by conducting content analysis or discourse analysis ).

If you are not analysing the article itself, but only using it for background information or facts about your topic, then the article is a secondary source.

In academic writing , there are three main situations where quoting is the best choice:

• To analyse the author’s language (e.g., in a literary analysis essay )
• To give evidence from primary sources
• To accurately present a precise definition or argument

Don’t overuse quotes; your own voice should be dominant. If you just want to provide information from a source, it’s usually better to paraphrase or summarise .

Your list of tables and figures should go directly after your table of contents in your thesis or dissertation.

Lists of figures and tables are often not required, and they aren’t particularly common. They specifically aren’t required for APA Style, though you should be careful to follow their other guidelines for figures and tables .

If you have many figures and tables in your thesis or dissertation, include one may help you stay organised. Your educational institution may require them, so be sure to check their guidelines.

Copyright information can usually be found wherever the table or figure was published. For example, for a diagram in a journal article , look on the journal’s website or the database where you found the article. Images found on sites like Flickr are listed with clear copyright information.

If you find that permission is required to reproduce the material, be sure to contact the author or publisher and ask for it.

A list of figures and tables compiles all of the figures and tables that you used in your thesis or dissertation and displays them with the page number where they can be found.

APA doesn’t require you to include a list of tables or a list of figures . However, it is advisable to do so if your text is long enough to feature a table of contents and it includes a lot of tables and/or figures .

A list of tables and list of figures appear (in that order) after your table of contents, and are presented in a similar way.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. Your glossary only needs to include terms that your reader may not be familiar with, and is intended to enhance their understanding of your work.

Definitional terms often fall into the category of common knowledge , meaning that they don’t necessarily have to be cited. This guidance can apply to your thesis or dissertation glossary as well.

However, if you’d prefer to cite your sources , you can follow guidance for citing dictionary entries in MLA or APA style for your glossary.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. In contrast, an index is a list of the contents of your work organised by page number.

Glossaries are not mandatory, but if you use a lot of technical or field-specific terms, it may improve readability to add one to your thesis or dissertation. Your educational institution may also require them, so be sure to check their specific guidelines.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. In contrast, dictionaries are more general collections of words.

The title page of your thesis or dissertation should include your name, department, institution, degree program, and submission date.

The title page of your thesis or dissertation goes first, before all other content or lists that you may choose to include.

Usually, no title page is needed in an MLA paper . A header is generally included at the top of the first page instead. The exceptions are when:

• Your instructor requires one, or
• Your paper is a group project

In those cases, you should use a title page instead of a header, listing the same information but on a separate page.

When you mention different chapters within your text, it’s considered best to use Roman numerals for most citation styles. However, the most important thing here is to remain consistent whenever using numbers in your dissertation .

A thesis or dissertation outline is one of the most critical first steps in your writing process. It helps you to lay out and organise your ideas and can provide you with a roadmap for deciding what kind of research you’d like to undertake.

Generally, an outline contains information on the different sections included in your thesis or dissertation, such as:

• Your anticipated title
• Your abstract
• Your chapters (sometimes subdivided into further topics like literature review, research methods, avenues for future research, etc.)

While a theoretical framework describes the theoretical underpinnings of your work based on existing research, a conceptual framework allows you to draw your own conclusions, mapping out the variables you may use in your study and the interplay between them.

A literature review and a theoretical framework are not the same thing and cannot be used interchangeably. While a theoretical framework describes the theoretical underpinnings of your work, a literature review critically evaluates existing research relating to your topic. You’ll likely need both in your dissertation .

A theoretical framework can sometimes be integrated into a  literature review chapter , but it can also be included as its own chapter or section in your dissertation . As a rule of thumb, if your research involves dealing with a lot of complex theories, it’s a good idea to include a separate theoretical framework chapter.

An abstract is a concise summary of an academic text (such as a journal article or dissertation ). It serves two main purposes:

• To help potential readers determine the relevance of your paper for their own research.
• To communicate your key findings to those who don’t have time to read the whole paper.

Abstracts are often indexed along with keywords on academic databases, so they make your work more easily findable. Since the abstract is the first thing any reader sees, it’s important that it clearly and accurately summarises the contents of your paper.

The abstract is the very last thing you write. You should only write it after your research is complete, so that you can accurately summarize the entirety of your thesis or paper.

Avoid citing sources in your abstract . There are two reasons for this:

• The abstract should focus on your original research, not on the work of others.
• The abstract should be self-contained and fully understandable without reference to other sources.

There are some circumstances where you might need to mention other sources in an abstract: for example, if your research responds directly to another study or focuses on the work of a single theorist. In general, though, don’t include citations unless absolutely necessary.

The abstract appears on its own page, after the title page and acknowledgements but before the table of contents .

Results are usually written in the past tense , because they are describing the outcome of completed actions.

The results chapter or section simply and objectively reports what you found, without speculating on why you found these results. The discussion interprets the meaning of the results, puts them in context, and explains why they matter.

In qualitative research , results and discussion are sometimes combined. But in quantitative research , it’s considered important to separate the objective results from your interpretation of them.

Formulating a main research question can be a difficult task. Overall, your question should contribute to solving the problem that you have defined in your problem statement .

However, it should also fulfill criteria in three main areas:

• Researchability
• Feasibility and specificity
• Relevance and originality

The best way to remember the difference between a research plan and a research proposal is that they have fundamentally different audiences. A research plan helps you, the researcher, organize your thoughts. On the other hand, a dissertation proposal or research proposal aims to convince others (e.g., a supervisor, a funding body, or a dissertation committee) that your research topic is relevant and worthy of being conducted.

A noun is a word that represents a person, thing, concept, or place (e.g., ‘John’, ‘house’, ‘affinity’, ‘river’). Most sentences contain at least one noun or pronoun .

Nouns are often, but not always, preceded by an article (‘the’, ‘a’, or ‘an’) and/or another determiner such as an adjective.

There are many ways to categorize nouns into various types, and the same noun can fall into multiple categories or even change types depending on context.

Some of the main types of nouns are:

• Common nouns and proper nouns
• Countable and uncountable nouns
• Concrete and abstract nouns
• Collective nouns
• Possessive nouns
• Attributive nouns
• Appositive nouns
• Generic nouns

Pronouns are words like ‘I’, ‘she’, and ‘they’ that are used in a similar way to nouns . They stand in for a noun that has already been mentioned or refer to yourself and other people.

Pronouns can function just like nouns as the head of a noun phrase and as the subject or object of a verb. However, pronouns change their forms (e.g., from ‘I’ to ‘me’) depending on the grammatical context they’re used in, whereas nouns usually don’t.

Common nouns are words for types of things, people, and places, such as ‘dog’, ‘professor’, and ‘city’. They are not capitalised and are typically used in combination with articles and other determiners.

Proper nouns are words for specific things, people, and places, such as ‘Max’, ‘Dr Prakash’, and ‘London’. They are always capitalised and usually aren’t combined with articles and other determiners.

A proper adjective is an adjective that was derived from a proper noun and is therefore capitalised .

Proper adjectives include words for nationalities, languages, and ethnicities (e.g., ‘Japanese’, ‘Inuit’, ‘French’) and words derived from people’s names (e.g., ‘Bayesian’, ‘Orwellian’).

The names of seasons (e.g., ‘spring’) are treated as common nouns in English and therefore not capitalised . People often assume they are proper nouns, but this is an error.

The names of days and months, however, are capitalised since they’re treated as proper nouns in English (e.g., ‘Wednesday’, ‘January’).

No, as a general rule, academic concepts, disciplines, theories, models, etc. are treated as common nouns , not proper nouns , and therefore not capitalised . For example, ‘five-factor model of personality’ or ‘analytic philosophy’.

However, proper nouns that appear within the name of an academic concept (such as the name of the inventor) are capitalised as usual. For example, ‘Darwin’s theory of evolution’ or ‘ Student’s t table ‘.

Collective nouns are most commonly treated as singular (e.g., ‘the herd is grazing’), but usage differs between US and UK English :

• In US English, it’s standard to treat all collective nouns as singular, even when they are plural in appearance (e.g., ‘The Rolling Stones is …’). Using the plural form is usually seen as incorrect.
• In UK English, collective nouns can be treated as singular or plural depending on context. It’s quite common to use the plural form, especially when the noun looks plural (e.g., ‘The Rolling Stones are …’).

The plural of “crisis” is “crises”. It’s a loanword from Latin and retains its original Latin plural noun form (similar to “analyses” and “bases”). It’s wrong to write “crisises”.

For example, you might write “Several crises destabilized the regime.”

Normally, the plural of “fish” is the same as the singular: “fish”. It’s one of a group of irregular plural nouns in English that are identical to the corresponding singular nouns (e.g., “moose”, “sheep”). For example, you might write “The fish scatter as the shark approaches.”

If you’re referring to several species of fish, though, the regular plural “fishes” is often used instead. For example, “The aquarium contains many different fishes , including trout and carp.”

The correct plural of “octopus” is “octopuses”.

People often write “octopi” instead because they assume that the plural noun is formed in the same way as Latin loanwords such as “fungus/fungi”. But “octopus” actually comes from Greek, where its original plural is “octopodes”. In English, it instead has the regular plural form “octopuses”.

For example, you might write “There are four octopuses in the aquarium.”

The plural of “moose” is the same as the singular: “moose”. It’s one of a group of plural nouns in English that are identical to the corresponding singular nouns. So it’s wrong to write “mooses”.

For example, you might write “There are several moose in the forest.”

Bias in research affects the validity and reliability of your findings, leading to false conclusions and a misinterpretation of the truth. This can have serious implications in areas like medical research where, for example, a new form of treatment may be evaluated.

Observer bias occurs when the researcher’s assumptions, views, or preconceptions influence what they see and record in a study, while actor–observer bias refers to situations where respondents attribute internal factors (e.g., bad character) to justify other’s behaviour and external factors (difficult circumstances) to justify the same behaviour in themselves.

Response bias is a general term used to describe a number of different conditions or factors that cue respondents to provide inaccurate or false answers during surveys or interviews . These factors range from the interviewer’s perceived social position or appearance to the the phrasing of questions in surveys.

Nonresponse bias occurs when the people who complete a survey are different from those who did not, in ways that are relevant to the research topic. Nonresponse can happen either because people are not willing or not able to participate.

In research, demand characteristics are cues that might indicate the aim of a study to participants. These cues can lead to participants changing their behaviors or responses based on what they think the research is about.

Demand characteristics are common problems in psychology experiments and other social science studies because they can bias your research findings.

Demand characteristics are a type of extraneous variable that can affect the outcomes of the study. They can invalidate studies by providing an alternative explanation for the results.

These cues may nudge participants to consciously or unconsciously change their responses, and they pose a threat to both internal and external validity . You can’t be sure that your independent variable manipulation worked, or that your findings can be applied to other people or settings.

You can control demand characteristics by taking a few precautions in your research design and materials.

Use these measures:

• Deception: Hide the purpose of the study from participants
• Between-groups design : Give each participant only one independent variable treatment
• Double-blind design : Conceal the assignment of groups from participants and yourself
• Implicit measures: Use indirect or hidden measurements for your variables

Some attrition is normal and to be expected in research. However, the type of attrition is important because systematic research bias can distort your findings. Attrition bias can lead to inaccurate results because it affects internal and/or external validity .

To avoid attrition bias , applying some of these measures can help you reduce participant dropout (attrition) by making it easy and appealing for participants to stay.

• Provide compensation (e.g., cash or gift cards) for attending every session
• Minimise the number of follow-ups as much as possible
• Make all follow-ups brief, flexible, and convenient for participants
• Send participants routine reminders to schedule follow-ups
• Recruit more participants than you need for your sample (oversample)
• Maintain detailed contact information so you can get in touch with participants even if they move

If you have a small amount of attrition bias , you can use a few statistical methods to try to make up for this research bias .

Multiple imputation involves using simulations to replace the missing data with likely values. Alternatively, you can use sample weighting to make up for the uneven balance of participants in your sample.

Placebos are used in medical research for new medication or therapies, called clinical trials. In these trials some people are given a placebo, while others are given the new medication being tested.

The purpose is to determine how effective the new medication is: if it benefits people beyond a predefined threshold as compared to the placebo, it’s considered effective.

Although there is no definite answer to what causes the placebo effect , researchers propose a number of explanations such as the power of suggestion, doctor-patient interaction, classical conditioning, etc.

Belief bias and confirmation bias are both types of cognitive bias that impact our judgment and decision-making.

Confirmation bias relates to how we perceive and judge evidence. We tend to seek out and prefer information that supports our preexisting beliefs, ignoring any information that contradicts those beliefs.

Belief bias describes the tendency to judge an argument based on how plausible the conclusion seems to us, rather than how much evidence is provided to support it during the course of the argument.

Positivity bias is phenomenon that occurs when a person judges individual members of a group positively, even when they have negative impressions or judgments of the group as a whole. Positivity bias is closely related to optimism bias , or the e xpectation that things will work out well, even if rationality suggests that problems are inevitable in life.

Perception bias is a problem because it prevents us from seeing situations or people objectively. Rather, our expectations, beliefs, or emotions interfere with how we interpret reality. This, in turn, can cause us to misjudge ourselves or others. For example, our prejudices can interfere with whether we perceive people’s faces as friendly or unfriendly.

There are many ways to categorize adjectives into various types. An adjective can fall into one or more of these categories depending on how it is used.

Some of the main types of adjectives are:

• Attributive adjectives
• Predicative adjectives
• Comparative adjectives
• Superlative adjectives
• Coordinate adjectives
• Appositive adjectives
• Compound adjectives
• Participial adjectives
• Proper adjectives
• Denominal adjectives
• Nominal adjectives

Cardinal numbers (e.g., one, two, three) can be placed before a noun to indicate quantity (e.g., one apple). While these are sometimes referred to as ‘numeral adjectives ‘, they are more accurately categorised as determiners or quantifiers.

Proper adjectives are adjectives formed from a proper noun (i.e., the name of a specific person, place, or thing) that are used to indicate origin. Like proper nouns, proper adjectives are always capitalised (e.g., Newtonian, Marxian, African).

The cost of proofreading depends on the type and length of text, the turnaround time, and the level of services required. Most proofreading companies charge per word or page, while freelancers sometimes charge an hourly rate.

For proofreading alone, which involves only basic corrections of typos and formatting mistakes, you might pay as little as £0.01 per word, but in many cases, your text will also require some level of editing , which costs slightly more.

It’s often possible to purchase combined proofreading and editing services and calculate the price in advance based on your requirements.

Then and than are two commonly confused words . In the context of ‘better than’, you use ‘than’ with an ‘a’.

• Julie is better than Jesse.
• I’d rather spend my time with you than with him.
• I understand Eoghan’s point of view better than Claudia’s.

Use to and used to are commonly confused words . In the case of ‘used to do’, the latter (with ‘d’) is correct, since you’re describing an action or state in the past.

• I used to do laundry once a week.
• They used to do each other’s hair.
• We used to do the dishes every day .

There are numerous synonyms and near synonyms for the various meanings of “ favour ”:

There are numerous synonyms and near synonyms for the two meanings of “ favoured ”:

No one (two words) is an indefinite pronoun meaning ‘nobody’. People sometimes mistakenly write ‘noone’, but this is incorrect and should be avoided. ‘No-one’, with a hyphen, is also acceptable in UK English .

Nobody and no one are both indefinite pronouns meaning ‘no person’. They can be used interchangeably (e.g., ‘nobody is home’ means the same as ‘no one is home’).

Some synonyms and near synonyms of  every time include:

• Without exception

‘Everytime’ is sometimes used to mean ‘each time’ or ‘whenever’. However, this is incorrect and should be avoided. The correct phrase is every time   (two words).

Yes, the conjunction because is a compound word , but one with a long history. It originates in Middle English from the preposition “bi” (“by”) and the noun “cause”. Over time, the open compound “bi cause” became the closed compound “because”, which we use today.

Though it’s spelled this way now, the verb “be” is not one of the words that makes up “because”.

Yes, today is a compound word , but a very old one. It wasn’t originally formed from the preposition “to” and the noun “day”; rather, it originates from their Old English equivalents, “tō” and “dæġe”.

In the past, it was sometimes written as a hyphenated compound: “to-day”. But the hyphen is no longer included; it’s always “today” now (“to day” is also wrong).

IEEE citation format is defined by the Institute of Electrical and Electronics Engineers and used in their publications.

It’s also a widely used citation style for students in technical fields like electrical and electronic engineering, computer science, telecommunications, and computer engineering.

An IEEE in-text citation consists of a number in brackets at the relevant point in the text, which points the reader to the right entry in the numbered reference list at the end of the paper. For example, ‘Smith [1] states that …’

A location marker such as a page number is also included within the brackets when needed: ‘Smith [1, p. 13] argues …’

The IEEE reference page consists of a list of references numbered in the order they were cited in the text. The title ‘References’ appears in bold at the top, either left-aligned or centered.

The numbers appear in square brackets on the left-hand side of the page. The reference entries are indented consistently to separate them from the numbers. Entries are single-spaced, with a normal paragraph break between them.

If you cite the same source more than once in your writing, use the same number for all of the IEEE in-text citations for that source, and only include it on the IEEE reference page once. The source is numbered based on the first time you cite it.

For example, the fourth source you cite in your paper is numbered [4]. If you cite it again later, you still cite it as [4]. You can cite different parts of the source each time by adding page numbers [4, p. 15].

A verb is a word that indicates a physical action (e.g., ‘drive’), a mental action (e.g., ‘think’) or a state of being (e.g., ‘exist’). Every sentence contains a verb.

Verbs are almost always used along with a noun or pronoun to describe what the noun or pronoun is doing.

There are many ways to categorize verbs into various types. A verb can fall into one or more of these categories depending on how it is used.

Some of the main types of verbs are:

• Regular verbs
• Irregular verbs
• Transitive verbs
• Intransitive verbs
• Dynamic verbs
• Stative verbs
• Linking verbs
• Auxiliary verbs
• Modal verbs
• Phrasal verbs

Regular verbs are verbs whose simple past and past participle are formed by adding the suffix ‘-ed’ (e.g., ‘walked’).

Irregular verbs are verbs that form their simple past and past participles in some way other than by adding the suffix ‘-ed’ (e.g., ‘sat’).

The indefinite articles a and an are used to refer to a general or unspecified version of a noun (e.g., a house). Which indefinite article you use depends on the pronunciation of the word that follows it.

• A is used for words that begin with a consonant sound (e.g., a bear).
• An is used for words that begin with a vowel sound (e.g., an eagle).

Indefinite articles can only be used with singular countable nouns . Like definite articles, they are a type of determiner .

Editing and proofreading are different steps in the process of revising a text.

Editing comes first, and can involve major changes to content, structure and language. The first stages of editing are often done by authors themselves, while a professional editor makes the final improvements to grammar and style (for example, by improving sentence structure and word choice ).

Proofreading is the final stage of checking a text before it is published or shared. It focuses on correcting minor errors and inconsistencies (for example, in punctuation and capitalization ). Proofreaders often also check for formatting issues, especially in print publishing.

Whether you’re publishing a blog, submitting a research paper , or even just writing an important email, there are a few techniques you can use to make sure it’s error-free:

• Take a break : Set your work aside for at least a few hours so that you can look at it with fresh eyes.
• Proofread a printout : Staring at a screen for too long can cause fatigue – sit down with a pen and paper to check the final version.
• Use digital shortcuts : Take note of any recurring mistakes (for example, misspelling a particular word, switching between US and UK English , or inconsistently capitalizing a term), and use Find and Replace to fix it throughout the document.

If you want to be confident that an important text is error-free, it might be worth choosing a professional proofreading service instead.

There are many different routes to becoming a professional proofreader or editor. The necessary qualifications depend on the field – to be an academic or scientific proofreader, for example, you will need at least a university degree in a relevant subject.

For most proofreading jobs, experience and demonstrated skills are more important than specific qualifications. Often your skills will be tested as part of the application process.

To learn practical proofreading skills, you can choose to take a course with a professional organisation such as the Society for Editors and Proofreaders . Alternatively, you can apply to companies that offer specialised on-the-job training programmes, such as the Scribbr Academy .

Though they’re pronounced the same, there’s a big difference in meaning between its and it’s .

• ‘The cat ate its food’.
• ‘It’s almost Christmas’.

Its and it’s are often confused, but its (without apostrophe) is the possessive form of ‘it’ (e.g., its tail, its argument, its wing). You use ‘its’ instead of ‘his’ and ‘her’ for neuter, inanimate nouns.

Then and than are two commonly confused words with different meanings and grammatical roles.

• Then (pronounced with a short ‘e’ sound) refers to time. It’s often an adverb , but it can also be used as a noun meaning ‘that time’ and as an adjective referring to a previous status.
• Than (pronounced with a short ‘a’ sound) is used for comparisons. Grammatically, it usually functions as a conjunction , but sometimes it’s a preposition .

Use to and used to are commonly confused words . In the case of ‘used to be’, the latter (with ‘d’) is correct, since you’re describing an action or state in the past.

• I used to be the new coworker.
• There used to be 4 cookies left.
• We used to walk to school every day .

A grammar checker is a tool designed to automatically check your text for spelling errors, grammatical issues, punctuation mistakes , and problems with sentence structure . You can check out our analysis of the best free grammar checkers to learn more.

A paraphrasing tool edits your text more actively, changing things whether they were grammatically incorrect or not. It can paraphrase your sentences to make them more concise and readable or for other purposes. You can check out our analysis of the best free paraphrasing tools to learn more.

Some tools available online combine both functions. Others, such as QuillBot , have separate grammar checker and paraphrasing tools. Be aware of what exactly the tool you’re using does to avoid introducing unwanted changes.

Good grammar is the key to expressing yourself clearly and fluently, especially in professional communication and academic writing . Word processors, browsers, and email programs typically have built-in grammar checkers, but they’re quite limited in the kinds of problems they can fix.

If you want to go beyond detecting basic spelling errors, there are many online grammar checkers with more advanced functionality. They can often detect issues with punctuation , word choice, and sentence structure that more basic tools would miss.

Not all of these tools are reliable, though. You can check out our research into the best free grammar checkers to explore the options.

Our research indicates that the best free grammar checker available online is the QuillBot grammar checker .

We tested 10 of the most popular checkers with the same sample text (containing 20 grammatical errors) and found that QuillBot easily outperformed the competition, scoring 18 out of 20, a drastic improvement over the second-place score of 13 out of 20.

It even appeared to outperform the premium versions of other grammar checkers, despite being entirely free.

A teacher’s aide is a person who assists in teaching classes but is not a qualified teacher. Aide is a noun meaning ‘assistant’, so it will always refer to a person.

‘Teacher’s aid’ is incorrect.

A visual aid is an instructional device (e.g., a photo, a chart) that appeals to vision to help you understand written or spoken information. Aid is often placed after an attributive noun or adjective (like ‘visual’) that describes the type of help provided.

‘Visual aide’ is incorrect.

A job aid is an instructional tool (e.g., a checklist, a cheat sheet) that helps you work efficiently. Aid is a noun meaning ‘assistance’. It’s often placed after an adjective or attributive noun (like ‘job’) that describes the specific type of help provided.

‘Job aide’ is incorrect.

There are numerous synonyms for the various meanings of truly :

Yours truly is a phrase used at the end of a formal letter or email. It can also be used (typically in a humorous way) as a pronoun to refer to oneself (e.g., ‘The dinner was cooked by yours truly ‘). The latter usage should be avoided in formal writing.

It’s formed by combining the second-person possessive pronoun ‘yours’ with the adverb ‘ truly ‘.

A pathetic fallacy can be a short phrase or a whole sentence and is often used in novels and poetry. Pathetic fallacies serve multiple purposes, such as:

• Conveying the emotional state of the characters or the narrator
• Creating an atmosphere or set the mood of a scene
• Foreshadowing events to come
• Giving texture and vividness to a piece of writing
• Communicating emotion to the reader in a subtle way, by describing the external world.
• Bringing inanimate objects to life so that they seem more relatable.

AMA citation format is a citation style designed by the American Medical Association. It’s frequently used in the field of medicine.

You may be told to use AMA style for your student papers. You will also have to follow this style if you’re submitting a paper to a journal published by the AMA.

An AMA in-text citation consists of the number of the relevant reference on your AMA reference page , written in superscript 1 at the point in the text where the source is used.

It may also include the page number or range of the relevant material in the source (e.g., the part you quoted 2(p46) ). Multiple sources can be cited at one point, presented as a range or list (with no spaces 3,5–9 ).

An AMA reference usually includes the author’s last name and initials, the title of the source, information about the publisher or the publication it’s contained in, and the publication date. The specific details included, and the formatting, depend on the source type.

References in AMA style are presented in numerical order (numbered by the order in which they were first cited in the text) on your reference page. A source that’s cited repeatedly in the text still only appears once on the reference page.

An AMA in-text citation just consists of the number of the relevant entry on your AMA reference page , written in superscript at the point in the text where the source is referred to.

You don’t need to mention the author of the source in your sentence, but you can do so if you want. It’s not an official part of the citation, but it can be useful as part of a signal phrase introducing the source.

On your AMA reference page , author names are written with the last name first, followed by the initial(s) of their first name and middle name if mentioned.

There’s a space between the last name and the initials, but no space or punctuation between the initials themselves. The names of multiple authors are separated by commas , and the whole list ends in a period, e.g., ‘Andreessen F, Smith PW, Gonzalez E’.

The names of up to six authors should be listed for each source on your AMA reference page , separated by commas . For a source with seven or more authors, you should list the first three followed by ‘ et al’ : ‘Isidore, Gilbert, Gunvor, et al’.

In the text, mentioning author names is optional (as they aren’t an official part of AMA in-text citations ). If you do mention them, though, you should use the first author’s name followed by ‘et al’ when there are three or more : ‘Isidore et al argue that …’

Note that according to AMA’s rather minimalistic punctuation guidelines, there’s no period after ‘et al’ unless it appears at the end of a sentence. This is different from most other styles, where there is normally a period.

Yes, you should normally include an access date in an AMA website citation (or when citing any source with a URL). This is because webpages can change their content over time, so it’s useful for the reader to know when you accessed the page.

When a publication or update date is provided on the page, you should include it in addition to the access date. The access date appears second in this case, e.g., ‘Published June 19, 2021. Accessed August 29, 2022.’

Don’t include an access date when citing a source with a DOI (such as in an AMA journal article citation ).

Some variables have fixed levels. For example, gender and ethnicity are always nominal level data because they cannot be ranked.

However, for other variables, you can choose the level of measurement . For example, income is a variable that can be recorded on an ordinal or a ratio scale:

• At an ordinal level , you could create 5 income groupings and code the incomes that fall within them from 1–5.
• At a ratio level , you would record exact numbers for income.

If you have a choice, the ratio level is always preferable because you can analyse data in more ways. The higher the level of measurement, the more precise your data is.

The level at which you measure a variable determines how you can analyse your data.

Depending on the level of measurement , you can perform different descriptive statistics to get an overall summary of your data and inferential statistics to see if your results support or refute your hypothesis .

Levels of measurement tell you how precisely variables are recorded. There are 4 levels of measurement, which can be ranked from low to high:

• Nominal : the data can only be categorised.
• Ordinal : the data can be categorised and ranked.
• Interval : the data can be categorised and ranked, and evenly spaced.
• Ratio : the data can be categorised, ranked, evenly spaced and has a natural zero.

Statistical analysis is the main method for analyzing quantitative research data . It uses probabilities and models to test predictions about a population from sample data.

The null hypothesis is often abbreviated as H 0 . When the null hypothesis is written using mathematical symbols, it always includes an equality symbol (usually =, but sometimes ≥ or ≤).

The alternative hypothesis is often abbreviated as H a or H 1 . When the alternative hypothesis is written using mathematical symbols, it always includes an inequality symbol (usually ≠, but sometimes < or >).

As the degrees of freedom increase, Student’s t distribution becomes less leptokurtic , meaning that the probability of extreme values decreases. The distribution becomes more and more similar to a standard normal distribution .

When there are only one or two degrees of freedom , the chi-square distribution is shaped like a backwards ‘J’. When there are three or more degrees of freedom, the distribution is shaped like a right-skewed hump. As the degrees of freedom increase, the hump becomes less right-skewed and the peak of the hump moves to the right. The distribution becomes more and more similar to a normal distribution .

‘Looking forward in hearing from you’ is an incorrect version of the phrase looking forward to hearing from you . The phrasal verb ‘looking forward to’ always needs the preposition ‘to’, not ‘in’.

• I am looking forward in hearing from you.
• I am looking forward to hearing from you.

Some synonyms and near synonyms for the expression looking forward to hearing from you include:

• Eagerly awaiting your response
• Hoping to hear from you soon
• It would be great to hear back from you
• Thanks in advance for your reply

People sometimes mistakenly write ‘looking forward to hear from you’, but this is incorrect. The correct phrase is looking forward to hearing from you .

The phrasal verb ‘look forward to’ is always followed by a direct object, the thing you’re looking forward to. As the direct object has to be a noun phrase , it should be the gerund ‘hearing’, not the verb ‘hear’.

• I’m looking forward to hear from you soon.
• I’m looking forward to hearing from you soon.

Traditionally, the sign-off Yours sincerely is used in an email message or letter when you are writing to someone you have interacted with before, not a complete stranger.

Yours faithfully is used instead when you are writing to someone you have had no previous correspondence with, especially if you greeted them as ‘ Dear Sir or Madam ’.

Just checking in   is a standard phrase used to start an email (or other message) that’s intended to ask someone for a response or follow-up action in a friendly, informal way. However, it’s a cliché opening that can come across as passive-aggressive, so we recommend avoiding it in favor of a more direct opening like “We previously discussed …”

In a more personal context, you might encounter “just checking in” as part of a longer phrase such as “I’m just checking in to see how you’re doing”. In this case, it’s not asking the other person to do anything but rather asking about their well-being (emotional or physical) in a friendly way.

“Earliest convenience” is part of the phrase at your earliest convenience , meaning “as soon as you can”. 

It’s typically used to end an email in a formal context by asking the recipient to do something when it’s convenient for them to do so.

ASAP is an abbreviation of the phrase “as soon as possible”. 

It’s typically used to indicate a sense of urgency in highly informal contexts (e.g., “Let me know ASAP if you need me to drive you to the airport”).

“ASAP” should be avoided in more formal correspondence. Instead, use an alternative like at your earliest convenience .

Some synonyms and near synonyms of the verb   compose   (meaning “to make up”) are:

People increasingly use “comprise” as a synonym of “compose.” However, this is normally still seen as a mistake, and we recommend avoiding it in your academic writing . “Comprise” traditionally means “to be made up of,” not “to make up.”

Some synonyms and near synonyms of the verb comprise are:

• Be composed of
• Be made up of

People increasingly use “comprise” interchangeably with “compose,” meaning that they consider words like “compose,” “constitute,” and “form” to be synonymous with “comprise.” However, this is still normally regarded as an error, and we advise against using these words interchangeably in academic writing .

A fallacy is a mistaken belief, particularly one based on unsound arguments or one that lacks the evidence to support it. Common types of fallacy that may compromise the quality of your research are:

• Correlation/causation fallacy: Claiming that two events that occur together have a cause-and-effect relationship even though this can’t be proven
• Ecological fallacy : Making inferences about the nature of individuals based on aggregate data for the group
• The sunk cost fallacy : Following through on a project or decision because we have already invested time, effort, or money into it, even if the current costs outweigh the benefits
• The base-rate fallacy : Ignoring base-rate or statistically significant information, such as sample size or the relative frequency of an event, in favor of  less relevant information e.g., pertaining to a single case, or a small number of cases
• The planning fallacy : Underestimating the time needed to complete a future task, even when we know that similar tasks in the past have taken longer than planned

The planning fallacy refers to people’s tendency to underestimate the resources needed to complete a future task, despite knowing that previous tasks have also taken longer than planned.

For example, people generally tend to underestimate the cost and time needed for construction projects. The planning fallacy occurs due to people’s tendency to overestimate the chances that positive events, such as a shortened timeline, will happen to them. This phenomenon is called optimism bias or positivity bias.

Although both red herring fallacy and straw man fallacy are logical fallacies or reasoning errors, they denote different attempts to “win” an argument. More specifically:

• A red herring fallacy refers to an attempt to change the subject and divert attention from the original issue. In other words, a seemingly solid but ultimately irrelevant argument is introduced into the discussion, either on purpose or by mistake.
• A straw man argument involves the deliberate distortion of another person’s argument. By oversimplifying or exaggerating it, the other party creates an easy-to-refute argument and then attacks it.

The red herring fallacy is a problem because it is flawed reasoning. It is a distraction device that causes people to become sidetracked from the main issue and draw wrong conclusions.

Although a red herring may have some kernel of truth, it is used as a distraction to keep our eyes on a different matter. As a result, it can cause us to accept and spread misleading information.

The sunk cost fallacy and escalation of commitment (or commitment bias ) are two closely related terms. However, there is a slight difference between them:

• Escalation of commitment (aka commitment bias ) is the tendency to be consistent with what we have already done or said we will do in the past, especially if we did so in public. In other words, it is an attempt to save face and appear consistent.
• Sunk cost fallacy is the tendency to stick with a decision or a plan even when it’s failing. Because we have already invested valuable time, money, or energy, quitting feels like these resources were wasted.

In other words, escalating commitment is a manifestation of the sunk cost fallacy: an irrational escalation of commitment frequently occurs when people refuse to accept that the resources they’ve already invested cannot be recovered. Instead, they insist on more spending to justify the initial investment (and the incurred losses).

When you are faced with a straw man argument , the best way to respond is to draw attention to the fallacy and ask your discussion partner to show how your original statement and their distorted version are the same. Since these are different, your partner will either have to admit that their argument is invalid or try to justify it by using more flawed reasoning, which you can then attack.

The straw man argument is a problem because it occurs when we fail to take an opposing point of view seriously. Instead, we intentionally misrepresent our opponent’s ideas and avoid genuinely engaging with them. Due to this, resorting to straw man fallacy lowers the standard of constructive debate.

A straw man argument is a distorted (and weaker) version of another person’s argument that can easily be refuted (e.g., when a teacher proposes that the class spend more time on math exercises, a parent complains that the teacher doesn’t care about reading and writing).

This is a straw man argument because it misrepresents the teacher’s position, which didn’t mention anything about cutting down on reading and writing. The straw man argument is also known as the straw man fallacy .

A slippery slope argument is not always a fallacy.

• When someone claims adopting a certain policy or taking a certain action will automatically lead to a series of other policies or actions also being taken, this is a slippery slope argument.
• If they don’t show a causal connection between the advocated policy and the consequent policies, then they commit a slippery slope fallacy .

There are a number of ways you can deal with slippery slope arguments especially when you suspect these are fallacious:

• Slippery slope arguments take advantage of the gray area between an initial action or decision and the possible next steps that might lead to the undesirable outcome. You can point out these missing steps and ask your partner to indicate what evidence exists to support the claimed relationship between two or more events.
• Ask yourself if each link in the chain of events or action is valid. Every proposition has to be true for the overall argument to work, so even if one link is irrational or not supported by evidence, then the argument collapses.
• Sometimes people commit a slippery slope fallacy unintentionally. In these instances, use an example that demonstrates the problem with slippery slope arguments in general (e.g., by using statements to reach a conclusion that is not necessarily relevant to the initial statement). By attacking the concept of slippery slope arguments you can show that they are often fallacious.

People sometimes confuse cognitive bias and logical fallacies because they both relate to flawed thinking. However, they are not the same:

• Cognitive bias is the tendency to make decisions or take action in an illogical way because of our values, memory, socialization, and other personal attributes. In other words, it refers to a fixed pattern of thinking rooted in the way our brain works.
• Logical fallacies relate to how we make claims and construct our arguments in the moment. They are statements that sound convincing at first but can be disproven through logical reasoning.

In other words, cognitive bias refers to an ongoing predisposition, while logical fallacy refers to mistakes of reasoning that occur in the moment.

An appeal to ignorance (ignorance here meaning lack of evidence) is a type of informal logical fallacy .

It asserts that something must be true because it hasn’t been proven false—or that something must be false because it has not yet been proven true.

For example, “unicorns exist because there is no evidence that they don’t.” The appeal to ignorance is also called the burden of proof fallacy .

An ad hominem (Latin for “to the person”) is a type of informal logical fallacy . Instead of arguing against a person’s position, an ad hominem argument attacks the person’s character or actions in an effort to discredit them.

This rhetorical strategy is fallacious because a person’s character, motive, education, or other personal trait is logically irrelevant to whether their argument is true or false.

Name-calling is common in ad hominem fallacy (e.g., “environmental activists are ineffective because they’re all lazy tree-huggers”).

Ad hominem is a persuasive technique where someone tries to undermine the opponent’s argument by personally attacking them.

In this way, one can redirect the discussion away from the main topic and to the opponent’s personality without engaging with their viewpoint. When the opponent’s personality is irrelevant to the discussion, we call it an ad hominem fallacy .

Ad hominem tu quoque (‘you too”) is an attempt to rebut a claim by attacking its proponent on the grounds that they uphold a double standard or that they don’t practice what they preach. For example, someone is telling you that you should drive slowly otherwise you’ll get a speeding ticket one of these days, and you reply “but you used to get them all the time!”

Argumentum ad hominem means “argument to the person” in Latin and it is commonly referred to as ad hominem argument or personal attack. Ad hominem arguments are used in debates to refute an argument by attacking the character of the person making it, instead of the logic or premise of the argument itself.

The opposite of the hasty generalization fallacy is called slothful induction fallacy or appeal to coincidence .

It is the tendency to deny a conclusion even though there is sufficient evidence that supports it. Slothful induction occurs due to our natural tendency to dismiss events or facts that do not align with our personal biases and expectations. For example, a researcher may try to explain away unexpected results by claiming it is just a coincidence.

To avoid a hasty generalization fallacy we need to ensure that the conclusions drawn are well-supported by the appropriate evidence. More specifically:

• In statistics , if we want to draw inferences about an entire population, we need to make sure that the sample is random and representative of the population . We can achieve that by using a probability sampling method , like simple random sampling or stratified sampling .
• In academic writing , use precise language and measured phases. Try to avoid making absolute claims, cite specific instances and examples without applying the findings to a larger group.
• As readers, we need to ask ourselves “does the writer demonstrate sufficient knowledge of the situation or phenomenon that would allow them to make a generalization?”

The hasty generalization fallacy and the anecdotal evidence fallacy are similar in that they both result in conclusions drawn from insufficient evidence. However, there is a difference between the two:

• The hasty generalization fallacy involves genuinely considering an example or case (i.e., the evidence comes first and then an incorrect conclusion is drawn from this).
• The anecdotal evidence fallacy (also known as “cherry-picking” ) is knowing in advance what conclusion we want to support, and then selecting the story (or a few stories) that support it. By overemphasizing anecdotal evidence that fits well with the point we are trying to make, we overlook evidence that would undermine our argument.

Although many sources use circular reasoning fallacy and begging the question interchangeably, others point out that there is a subtle difference between the two:

• Begging the question fallacy occurs when you assume that an argument is true in order to justify a conclusion. If something begs the question, what you are actually asking is, “Is the premise of that argument actually true?” For example, the statement “Snakes make great pets. That’s why we should get a snake” begs the question “are snakes really great pets?”
• Circular reasoning fallacy on the other hand, occurs when the evidence used to support a claim is just a repetition of the claim itself.  For example, “People have free will because they can choose what to do.”

In other words, we could say begging the question is a form of circular reasoning.

Circular reasoning fallacy uses circular reasoning to support an argument. More specifically, the evidence used to support a claim is just a repetition of the claim itself. For example: “The President of the United States is a good leader (claim), because they are the leader of this country (supporting evidence)”.

An example of a non sequitur is the following statement:

“Giving up nuclear weapons weakened the United States’ military. Giving up nuclear weapons also weakened China. For this reason, it is wrong to try to outlaw firearms in the United States today.”

Clearly there is a step missing in this line of reasoning and the conclusion does not follow from the premise, resulting in a non sequitur fallacy .

The difference between the post hoc fallacy and the non sequitur fallacy is that post hoc fallacy infers a causal connection between two events where none exists, whereas the non sequitur fallacy infers a conclusion that lacks a logical connection to the premise.

In other words, a post hoc fallacy occurs when there is a lack of a cause-and-effect relationship, while a non sequitur fallacy occurs when there is a lack of logical connection.

An example of post hoc fallacy is the following line of reasoning:

“Yesterday I had ice cream, and today I have a terrible stomachache. I’m sure the ice cream caused this.”

Although it is possible that the ice cream had something to do with the stomachache, there is no proof to justify the conclusion other than the order of events. Therefore, this line of reasoning is fallacious.

Post hoc fallacy and hasty generalisation fallacy are similar in that they both involve jumping to conclusions. However, there is a difference between the two:

• Post hoc fallacy is assuming a cause and effect relationship between two events, simply because one happened after the other.
• Hasty generalisation fallacy is drawing a general conclusion from a small sample or little evidence.

In other words, post hoc fallacy involves a leap to a causal claim; hasty generalisation fallacy involves a leap to a general proposition.

The fallacy of composition is similar to and can be confused with the hasty generalization fallacy . However, there is a difference between the two:

• The fallacy of composition involves drawing an inference about the characteristics of a whole or group based on the characteristics of its individual members.
• The hasty generalization fallacy involves drawing an inference about a population or class of things on the basis of few atypical instances or a small sample of that population or thing.

In other words, the fallacy of composition is using an unwarranted assumption that we can infer something about a whole based on the characteristics of its parts, while the hasty generalization fallacy is using insufficient evidence to draw a conclusion.

The opposite of the fallacy of composition is the fallacy of division . In the fallacy of division, the assumption is that a characteristic which applies to a whole or a group must necessarily apply to the parts or individual members. For example, “Australians travel a lot. Gary is Australian, so he must travel a lot.”

Base rate fallacy can be avoided by following these steps:

• Avoid making an important decision in haste. When we are under pressure, we are more likely to resort to cognitive shortcuts like the availability heuristic and the representativeness heuristic . Due to this, we are more likely to factor in only current and vivid information, and ignore the actual probability of something happening (i.e., base rate).
• Take a long-term view on the decision or question at hand. Look for relevant statistical data, which can reveal long-term trends and give you the full picture.
• Talk to experts like professionals. They are more aware of probabilities related to specific decisions.

Suppose there is a population consisting of 90% psychologists and 10% engineers. Given that you know someone enjoyed physics at school, you may conclude that they are an engineer rather than a psychologist, even though you know that this person comes from a population consisting of far more psychologists than engineers.

When we ignore the rate of occurrence of some trait in a population (the base-rate information) we commit base rate fallacy .

Cost-benefit fallacy is a common error that occurs when allocating sources in project management. It is the fallacy of assuming that cost-benefit estimates are more or less accurate, when in fact they are highly inaccurate and biased. This means that cost-benefit analyses can be useful, but only after the cost-benefit fallacy has been acknowledged and corrected for. Cost-benefit fallacy is a type of base rate fallacy .

In advertising, the fallacy of equivocation is often used to create a pun. For example, a billboard company might advertise their billboards using a line like: “Looking for a sign? This is it!” The word sign has a literal meaning as billboard and a figurative one as a sign from God, the universe, etc.

Equivocation is a fallacy because it is a form of argumentation that is both misleading and logically unsound. When the meaning of a word or phrase shifts in the course of an argument, it causes confusion and also implies that the conclusion (which may be true) does not follow from the premise.

The fallacy of equivocation is an informal logical fallacy, meaning that the error lies in the content of the argument instead of the structure.

Fallacies of relevance are a group of fallacies that occur in arguments when the premises are logically irrelevant to the conclusion. Although at first there seems to be a connection between the premise and the conclusion, in reality fallacies of relevance use unrelated forms of appeal.

For example, the genetic fallacy makes an appeal to the source or origin of the claim in an attempt to assert or refute something.

The ad hominem fallacy and the genetic fallacy are closely related in that they are both fallacies of relevance. In other words, they both involve arguments that use evidence or examples that are not logically related to the argument at hand. However, there is a difference between the two:

• In the ad hominem fallacy , the goal is to discredit the argument by discrediting the person currently making the argument.
• In the genetic fallacy , the goal is to discredit the argument by discrediting the history or origin (i.e., genesis) of an argument.

False dilemma fallacy is also known as false dichotomy, false binary, and “either-or” fallacy. It is the fallacy of presenting only two choices, outcomes, or sides to an argument as the only possibilities, when more are available.

The false dilemma fallacy works in two ways:

• By presenting only two options as if these were the only ones available
• By presenting two options as mutually exclusive (i.e., only one option can be selected or can be true at a time)

In both cases, by using the false dilemma fallacy, one conceals alternative choices and doesn’t allow others to consider the full range of options. This is usually achieved through an“either-or” construction and polarised, divisive language (“you are either a friend or an enemy”).

The best way to avoid a false dilemma fallacy is to pause and reflect on two points:

• Are the options presented truly the only ones available ? It could be that another option has been deliberately omitted.
• Are the options mentioned mutually exclusive ? Perhaps all of the available options can be selected (or be true) at the same time, which shows that they aren’t mutually exclusive. Proving this is called “escaping between the horns of the dilemma.”

Begging the question fallacy is an argument in which you assume what you are trying to prove. In other words, your position and the justification of that position are the same, only slightly rephrased.

For example: “All freshmen should attend college orientation, because all college students should go to such an orientation.”

The complex question fallacy and begging the question fallacy are similar in that they are both based on assumptions. However, there is a difference between them:

• A complex question fallacy occurs when someone asks a question that presupposes the answer to another question that has not been established or accepted by the other person. For example, asking someone “Have you stopped cheating on tests?”, unless it has previously been established that the person is indeed cheating on tests, is a fallacy.
• Begging the question fallacy occurs when we assume the very thing as a premise that we’re trying to prove in our conclusion. In other words, the conclusion is used to support the premises, and the premises prove the validity of the conclusion. For example: “God exists because the Bible says so, and the Bible is true because it is the word of God.”

In other words, begging the question is about drawing a conclusion based on an assumption, while a complex question involves asking a question that presupposes the answer to a prior question.

“ No true Scotsman ” arguments aren’t always fallacious. When there is a generally accepted definition of who or what constitutes a group, it’s reasonable to use statements in the form of “no true Scotsman”.

For example, the statement that “no true pacifist would volunteer for military service” is not fallacious, since a pacifist is, by definition, someone who opposes war or violence as a means of settling disputes.

No true Scotsman arguments are fallacious because instead of logically refuting the counterexample, they simply assert that it doesn’t count. In other words, the counterexample is rejected for psychological, but not logical, reasons.

The appeal to purity or no true Scotsman fallacy is an attempt to defend a generalisation about a group from a counterexample by shifting the definition of the group in the middle of the argument. In this way, one can exclude the counterexample as not being “true”, “genuine”, or “pure” enough to be considered as part of the group in question.

To identify an appeal to authority fallacy , you can ask yourself the following questions:

• Is the authority cited really a qualified expert in this particular area under discussion? For example, someone who has formal education or years of experience can be an expert.
• Do experts disagree on this particular subject? If that is the case, then for almost any claim supported by one expert there will be a counterclaim that is supported by another expert. If there is no consensus, an appeal to authority is fallacious.
• Is the authority in question biased? If you suspect that an expert’s prejudice and bias could have influenced their views, then the expert is not reliable and an argument citing this expert will be fallacious.To identify an appeal to authority fallacy, you ask yourself whether the authority cited is a qualified expert in the particular area under discussion.

Appeal to authority is a fallacy when those who use it do not provide any justification to support their argument. Instead they cite someone famous who agrees with their viewpoint, but is not qualified to make reliable claims on the subject.

Appeal to authority fallacy is often convincing because of the effect authority figures have on us. When someone cites a famous person, a well-known scientist, a politician, etc. people tend to be distracted and often fail to critically examine whether the authority figure is indeed an expert in the area under discussion.

The ad populum fallacy is common in politics. One example is the following viewpoint: “The majority of our countrymen think we should have military operations overseas; therefore, it’s the right thing to do.”

This line of reasoning is fallacious, because popular acceptance of a belief or position does not amount to a justification of that belief. In other words, following the prevailing opinion without examining the underlying reasons is irrational.

The ad populum fallacy plays on our innate desire to fit in (known as “bandwagon effect”). If many people believe something, our common sense tells us that it must be true and we tend to accept it. However, in logic, the popularity of a proposition cannot serve as evidence of its truthfulness.

Ad populum (or appeal to popularity) fallacy and appeal to authority fallacy are similar in that they both conflate the validity of a belief with its popular acceptance among a specific group. However there is a key difference between the two:

• An ad populum fallacy tries to persuade others by claiming that something is true or right because a lot of people think so.
• An appeal to authority fallacy tries to persuade by claiming a group of experts believe something is true or right, therefore it must be so.

To identify a false cause fallacy , you need to carefully analyse the argument:

• When someone claims that one event directly causes another, ask if there is sufficient evidence to establish a cause-and-effect relationship. 
• Ask if the claim is based merely on the chronological order or co-occurrence of the two events. 
• Consider alternative possible explanations (are there other factors at play that could influence the outcome?).

By carefully analysing the reasoning, considering alternative explanations, and examining the evidence provided, you can identify a false cause fallacy and discern whether a causal claim is valid or flawed.

False cause fallacy examples include: 

• Believing that wearing your lucky jersey will help your team win 
• Thinking that everytime you wash your car, it rains
• Claiming that playing video games causes violent behavior 

In each of these examples, we falsely assume that one event causes another without any proof.

The planning fallacy and procrastination are not the same thing. Although they both relate to time and task management, they describe different challenges:

• The planning fallacy describes our inability to correctly estimate how long a future task will take, mainly due to optimism bias and a strong focus on the best-case scenario.
• Procrastination refers to postponing a task, usually by focusing on less urgent or more enjoyable activities. This is due to psychological reasons, like fear of failure.

In other words, the planning fallacy refers to inaccurate predictions about the time we need to finish a task, while procrastination is a deliberate delay due to psychological factors.

A real-life example of the planning fallacy is the construction of the Sydney Opera House in Australia. When construction began in the late 1950s, it was initially estimated that it would be completed in four years at a cost of around $7 million.

Because the government wanted the construction to start before political opposition would stop it and while public opinion was still favorable, a number of design issues had not been carefully studied in advance. Due to this, several problems appeared immediately after the project commenced.

The construction process eventually stretched over 14 years, with the Opera House being completed in 1973 at a cost of over $100 million, significantly exceeding the initial estimates.

An example of appeal to pity fallacy is the following appeal by a student to their professor:

“Professor, please consider raising my grade. I had a terrible semester: my car broke down, my laptop got stolen, and my cat got sick.”

While these circumstances may be unfortunate, they are not directly related to the student’s academic performance.

While both the appeal to pity fallacy and   red herring fallacy can serve as a distraction from the original discussion topic, they are distinct fallacies. More specifically:

• Appeal to pity fallacy attempts to evoke feelings of sympathy, pity, or guilt in an audience, so that they accept the speaker’s conclusion as truthful.
• Red herring fallacy attempts to introduce an irrelevant piece of information that diverts the audience’s attention to a different topic.

Both fallacies can be used as a tool of deception. However, they operate differently and serve distinct purposes in arguments.

Argumentum ad misericordiam (Latin for “argument from pity or misery”) is another name for appeal to pity fallacy . It occurs when someone evokes sympathy or guilt in an attempt to gain support for their claim, without providing any logical reasons to support the claim itself. Appeal to pity is a deceptive tactic of argumentation, playing on people’s emotions to sway their opinion.

Yes, it’s quite common to start a sentence with a preposition, and there’s no reason not to do so.

For example, the sentence “ To many, she was a hero” is perfectly grammatical. It could also be rephrased as “She was a hero to  many”, but there’s no particular reason to do so. Both versions are fine.

Some people argue that you shouldn’t end a sentence with a preposition , but that “rule” can also be ignored, since it’s not supported by serious language authorities.

Yes, it’s fine to end a sentence with a preposition . The “rule” against doing so is overwhelmingly rejected by modern style guides and language authorities and is based on the rules of Latin grammar, not English.

Trying to avoid ending a sentence with a preposition often results in very unnatural phrasings. For example, turning “He knows what he’s talking about ” into “He knows about what he’s talking” or “He knows that about which he’s talking” is definitely not an improvement.

No, ChatGPT is not a credible source of factual information and can’t be cited for this purpose in academic writing . While it tries to provide accurate answers, it often gets things wrong because its responses are based on patterns, not facts and data.

Specifically, the CRAAP test for evaluating sources includes five criteria: currency , relevance , authority , accuracy , and purpose . ChatGPT fails to meet at least three of them:

• Currency: The dataset that ChatGPT was trained on only extends to 2021, making it slightly outdated.
• Authority: It’s just a language model and is not considered a trustworthy source of factual information.
• Accuracy: It bases its responses on patterns rather than evidence and is unable to cite its sources .

So you shouldn’t cite ChatGPT as a trustworthy source for a factual claim. You might still cite ChatGPT for other reasons – for example, if you’re writing a paper about AI language models, ChatGPT responses are a relevant primary source .

ChatGPT is an AI language model that was trained on a large body of text from a variety of sources (e.g., Wikipedia, books, news articles, scientific journals). The dataset only went up to 2021, meaning that it lacks information on more recent events.

It’s also important to understand that ChatGPT doesn’t access a database of facts to answer your questions. Instead, its responses are based on patterns that it saw in the training data.

So ChatGPT is not always trustworthy . It can usually answer general knowledge questions accurately, but it can easily give misleading answers on more specialist topics.

Another consequence of this way of generating responses is that ChatGPT usually can’t cite its sources accurately. It doesn’t really know what source it’s basing any specific claim on. It’s best to check any information you get from it against a credible source .

No, it is not possible to cite your sources with ChatGPT . You can ask it to create citations, but it isn’t designed for this task and tends to make up sources that don’t exist or present information in the wrong format. ChatGPT also cannot add citations to direct quotes in your text.

Instead, use a tool designed for this purpose, like the Scribbr Citation Generator .

But you can use ChatGPT for assignments in other ways, to provide inspiration, feedback, and general writing advice.

GPT  stands for “generative pre-trained transformer”, which is a type of large language model: a neural network trained on a very large amount of text to produce convincing, human-like language outputs. The Chat part of the name just means “chat”: ChatGPT is a chatbot that you interact with by typing in text.

The technology behind ChatGPT is GPT-3.5 (in the free version) or GPT-4 (in the premium version). These are the names for the specific versions of the GPT model. GPT-4 is currently the most advanced model that OpenAI has created. It’s also the model used in Bing’s chatbot feature.

ChatGPT was created by OpenAI, an AI research company. It started as a nonprofit company in 2015 but became for-profit in 2019. Its CEO is Sam Altman, who also co-founded the company. OpenAI released ChatGPT as a free “research preview” in November 2022. Currently, it’s still available for free, although a more advanced premium version is available if you pay for it.

OpenAI is also known for developing DALL-E, an AI image generator that runs on similar technology to ChatGPT.

ChatGPT is owned by OpenAI, the company that developed and released it. OpenAI is a company dedicated to AI research. It started as a nonprofit company in 2015 but transitioned to for-profit in 2019. Its current CEO is Sam Altman, who also co-founded the company.

In terms of who owns the content generated by ChatGPT, OpenAI states that it will not claim copyright on this content , and the terms of use state that “you can use Content for any purpose, including commercial purposes such as sale or publication”. This means that you effectively own any content you generate with ChatGPT and can use it for your own purposes.

Be cautious about how you use ChatGPT content in an academic context. University policies on AI writing are still developing, so even if you “own” the content, you’re often not allowed to submit it as your own work according to your university or to publish it in a journal.

ChatGPT is a chatbot based on a large language model (LLM). These models are trained on huge datasets consisting of hundreds of billions of words of text, based on which the model learns to effectively predict natural responses to the prompts you enter.

ChatGPT was also refined through a process called reinforcement learning from human feedback (RLHF), which involves “rewarding” the model for providing useful answers and discouraging inappropriate answers – encouraging it to make fewer mistakes.

Essentially, ChatGPT’s answers are based on predicting the most likely responses to your inputs based on its training data, with a reward system on top of this to incentivise it to give you the most helpful answers possible. It’s a bit like an incredibly advanced version of predictive text. This is also one of ChatGPT’s limitations : because its answers are based on probabilities, they’re not always trustworthy .

OpenAI may store ChatGPT conversations for the purposes of future training. Additionally, these conversations may be monitored by human AI trainers.

Users can choose not to have their chat history saved. Unsaved chats are not used to train future models and are permanently deleted from ChatGPT’s system after 30 days.

The official ChatGPT app is currently only available on iOS devices. If you don’t have an iOS device, only use the official OpenAI website to access the tool. This helps to eliminate the potential risk of downloading fraudulent or malicious software.

ChatGPT conversations are generally used to train future models and to resolve issues/bugs. These chats may be monitored by human AI trainers.

However, users can opt out of having their conversations used for training. In these instances, chats are monitored only for potential abuse.

Yes, using ChatGPT as a conversation partner is a great way to practice a language in an interactive way.

Try using a prompt like this one:

“Please be my Spanish conversation partner. Only speak to me in Spanish. Keep your answers short (maximum 50 words). Ask me questions. Let’s start the conversation with the following topic: [conversation topic].”

Yes, there are a variety of ways to use ChatGPT for language learning , including treating it as a conversation partner, asking it for translations, and using it to generate a curriculum or practice exercises.

AI detectors aim to identify the presence of AI-generated text (e.g., from ChatGPT ) in a piece of writing, but they can’t do so with complete accuracy. In our comparison of the best AI detectors , we found that the 10 tools we tested had an average accuracy of 60%. The best free tool had 68% accuracy, the best premium tool 84%.

Because of how AI detectors work , they can never guarantee 100% accuracy, and there is always at least a small risk of false positives (human text being marked as AI-generated). Therefore, these tools should not be relied upon to provide absolute proof that a text is or isn’t AI-generated. Rather, they can provide a good indication in combination with other evidence.

Tools called AI detectors are designed to label text as AI-generated or human. AI detectors work by looking for specific characteristics in the text, such as a low level of randomness in word choice and sentence length. These characteristics are typical of AI writing, allowing the detector to make a good guess at when text is AI-generated.

But these tools can’t guarantee 100% accuracy. Check out our comparison of the best AI detectors to learn more.

You can also manually watch for clues that a text is AI-generated – for example, a very different style from the writer’s usual voice or a generic, overly polite tone.

Our research into the best summary generators (aka summarisers or summarising tools) found that the best summariser available in 2023 is the one offered by QuillBot.

While many summarisers just pick out some sentences from the text, QuillBot generates original summaries that are creative, clear, accurate, and concise. It can summarise texts of up to 1,200 words for free, or up to 6,000 with a premium subscription.

Try the QuillBot summarizer for free

Deep learning requires a large dataset (e.g., images or text) to learn from. The more diverse and representative the data, the better the model will learn to recognise objects or make predictions. Only when the training data is sufficiently varied can the model make accurate predictions or recognise objects from new data.

Deep learning models can be biased in their predictions if the training data consist of biased information. For example, if a deep learning model used for screening job applicants has been trained with a dataset consisting primarily of white male applicants, it will consistently favour this specific population over others.

A good ChatGPT prompt (i.e., one that will get you the kinds of responses you want):

• Gives the tool a role to explain what type of answer you expect from it
• Is precisely formulated and gives enough context
• Is free from bias
• Has been tested and improved by experimenting with the tool

ChatGPT prompts are the textual inputs (e.g., questions, instructions) that you enter into ChatGPT to get responses.

ChatGPT predicts an appropriate response to the prompt you entered. In general, a more specific and carefully worded prompt will get you better responses.

Yes, ChatGPT is currently available for free. You have to sign up for a free account to use the tool, and you should be aware that your data may be collected to train future versions of the model.

To sign up and use the tool for free, go to this page and click “Sign up”. You can do so with your email or with a Google account.

A premium version of the tool called ChatGPT Plus is available as a monthly subscription. It currently costs £16 and gets you access to features like GPT-4 (a more advanced version of the language model). But it’s optional: you can use the tool completely free if you’re not interested in the extra features.

You can access ChatGPT by signing up for a free account:

• Follow this link to the ChatGPT website.
• Click on “Sign up” and fill in the necessary details (or use your Google account). It’s free to sign up and use the tool.
• Type a prompt into the chat box to get started!

A ChatGPT app is also available for iOS, and an Android app is planned for the future. The app works similarly to the website, and you log in with the same account for both.

According to OpenAI’s terms of use, users have the right to reproduce text generated by ChatGPT during conversations.

However, publishing ChatGPT outputs may have legal implications , such as copyright infringement.

Users should be aware of such issues and use ChatGPT outputs as a source of inspiration instead.

According to OpenAI’s terms of use, users have the right to use outputs from their own ChatGPT conversations for any purpose (including commercial publication).

However, users should be aware of the potential legal implications of publishing ChatGPT outputs. ChatGPT responses are not always unique: different users may receive the same response.

Furthermore, ChatGPT outputs may contain copyrighted material. Users may be liable if they reproduce such material.

ChatGPT can sometimes reproduce biases from its training data , since it draws on the text it has “seen” to create plausible responses to your prompts.

For example, users have shown that it sometimes makes sexist assumptions such as that a doctor mentioned in a prompt must be a man rather than a woman. Some have also pointed out political bias in terms of which political figures the tool is willing to write positively or negatively about and which requests it refuses.

The tool is unlikely to be consistently biased toward a particular perspective or against a particular group. Rather, its responses are based on its training data and on the way you phrase your ChatGPT prompts . It’s sensitive to phrasing, so asking it the same question in different ways will result in quite different answers.

Information extraction  refers to the process of starting from unstructured sources (e.g., text documents written in ordinary English) and automatically extracting structured information (i.e., data in a clearly defined format that’s easily understood by computers). It’s an important concept in natural language processing (NLP) .

For example, you might think of using news articles full of celebrity gossip to automatically create a database of the relationships between the celebrities mentioned (e.g., married, dating, divorced, feuding). You would end up with data in a structured format, something like MarriageBetween(celebrity 1 ,celebrity 2 ,date) .

The challenge involves developing systems that can “understand” the text well enough to extract this kind of data from it.

Knowledge representation and reasoning (KRR) is the study of how to represent information about the world in a form that can be used by a computer system to solve and reason about complex problems. It is an important field of artificial intelligence (AI) research.

An example of a KRR application is a semantic network, a way of grouping words or concepts by how closely related they are and formally defining the relationships between them so that a machine can “understand” language in something like the way people do.

A related concept is information extraction , concerned with how to get structured information from unstructured sources.

Yes, you can use ChatGPT to summarise text . This can help you understand complex information more easily, summarise the central argument of your own paper, or clarify your research question.

You can also use Scribbr’s free text summariser , which is designed specifically for this purpose.

Yes, you can use ChatGPT to paraphrase text to help you express your ideas more clearly, explore different ways of phrasing your arguments, and avoid repetition.

However, it’s not specifically designed for this purpose. We recommend using a specialised tool like Scribbr’s free paraphrasing tool , which will provide a smoother user experience.

Yes, you use ChatGPT to help write your college essay by having it generate feedback on certain aspects of your work (consistency of tone, clarity of structure, etc.).

However, ChatGPT is not able to adequately judge qualities like vulnerability and authenticity. For this reason, it’s important to also ask for feedback from people who have experience with college essays and who know you well. Alternatively, you can get advice using Scribbr’s essay editing service .

No, having ChatGPT write your college essay can negatively impact your application in numerous ways. ChatGPT outputs are unoriginal and lack personal insight.

Furthermore, Passing off AI-generated text as your own work is considered academically dishonest . AI detectors may be used to detect this offense, and it’s highly unlikely that any university will accept you if you are caught submitting an AI-generated admission essay.

However, you can use ChatGPT to help write your college essay during the preparation and revision stages (e.g., for brainstorming ideas and generating feedback).

ChatGPT and other AI writing tools can have unethical uses. These include:

• Reproducing biases and false information
• Using ChatGPT to cheat in academic contexts
• Violating the privacy of others by inputting personal information

However, when used correctly, AI writing tools can be helpful resources for improving your academic writing and research skills. Some ways to use ChatGPT ethically include:

• Following your institution’s guidelines
• Critically evaluating outputs
• Being transparent about how you used the tool

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You will receive the sample edit within 24 hours after placing your order. You then have 24 hours to let us know if you’re happy with the sample or if there’s something you would like the editor to do differently.

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Yes, you can upload your document in sections.

We try our best to ensure that the same editor checks all the different sections of your document. When you upload a new file, our system recognizes you as a returning customer, and we immediately contact the editor who helped you before.

However, we cannot guarantee that the same editor will be available. Your chances are higher if

• You send us your text as soon as possible and
• You can be flexible about the deadline.

Please note that the shorter your deadline is, the lower the chance that your previous editor is not available.

If your previous editor isn’t available, then we will inform you immediately and look for another qualified editor. Fear not! Every Scribbr editor follows the  Scribbr Improvement Model  and will deliver high-quality work.

Yes, our editors also work during the weekends and holidays.

Because we have many editors available, we can check your document 24 hours per day and 7 days per week, all year round.

If you choose a 72 hour deadline and upload your document on a Thursday evening, you’ll have your thesis back by Sunday evening!

Yes! Our editors are all native speakers, and they have lots of experience editing texts written by ESL students. They will make sure your grammar is perfect and point out any sentences that are difficult to understand. They’ll also notice your most common mistakes, and give you personal feedback to improve your writing in English.

Every Scribbr order comes with our award-winning Proofreading & Editing service , which combines two important stages of the revision process.

For a more comprehensive edit, you can add a Structure Check or Clarity Check to your order. With these building blocks, you can customize the kind of feedback you receive.

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When you place an order, you can specify your field of study and we’ll match you with an editor who has familiarity with this area.

However, our editors are language specialists, not academic experts in your field. Your editor’s job is not to comment on the content of your dissertation, but to improve your language and help you express your ideas as clearly and fluently as possible.

This means that your editor will understand your text well enough to give feedback on its clarity, logic and structure, but not on the accuracy or originality of its content.

Good academic writing should be understandable to a non-expert reader, and we believe that academic editing is a discipline in itself. The research, ideas and arguments are all yours – we’re here to make sure they shine!

After your document has been edited, you will receive an email with a link to download the document.

The editor has made changes to your document using ‘Track Changes’ in Word. This means that you only have to accept or ignore the changes that are made in the text one by one.

It is also possible to accept all changes at once. However, we strongly advise you not to do so for the following reasons:

• You can learn a lot by looking at the mistakes you made.
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While Sandel argues that pursuing perfection through genetic engineering would decrease our sense of humility, he claims that the sense of solidarity we would lose is also important.

This thesis summarizes several points in Sandel’s argument, but it does not make a claim about how we should understand his argument. A reader who read Sandel’s argument would not also need to read an essay based on this descriptive thesis.  

Broad thesis (arguable, but difficult to support with evidence) 

Michael Sandel’s arguments about genetic engineering do not take into consideration all the relevant issues.

This is an arguable claim because it would be possible to argue against it by saying that Michael Sandel’s arguments do take all of the relevant issues into consideration. But the claim is too broad. Because the thesis does not specify which “issues” it is focused on—or why it matters if they are considered—readers won’t know what the rest of the essay will argue, and the writer won’t know what to focus on. If there is a particular issue that Sandel does not address, then a more specific version of the thesis would include that issue—hand an explanation of why it is important.  

Arguable thesis with analytical claim 

While Sandel argues persuasively that our instinct to “remake” (54) ourselves into something ever more perfect is a problem, his belief that we can always draw a line between what is medically necessary and what makes us simply “better than well” (51) is less convincing.

This is an arguable analytical claim. To argue for this claim, the essay writer will need to show how evidence from the article itself points to this interpretation. It’s also a reasonable scope for a thesis because it can be supported with evidence available in the text and is neither too broad nor too narrow.  

Arguable thesis with normative claim 

Given Sandel’s argument against genetic enhancement, we should not allow parents to decide on using Human Growth Hormone for their children.

This thesis tells us what we should do about a particular issue discussed in Sandel’s article, but it does not tell us how we should understand Sandel’s argument.  

Questions to ask about your thesis 

• Is the thesis truly arguable? Does it speak to a genuine dilemma in the source, or would most readers automatically agree with it?  
• Is the thesis too obvious? Again, would most or all readers agree with it without needing to see your argument?  
• Is the thesis complex enough to require a whole essay's worth of argument?  
• Is the thesis supportable with evidence from the text rather than with generalizations or outside research?  
• Would anyone want to read a paper in which this thesis was developed? That is, can you explain what this paper is adding to our understanding of a problem, question, or topic?
• picture_as_pdf Thesis

How to Write a Master's Thesis: A Guide to Planning Your Thesis, Pursuing It, and Avoiding Pitfalls

#scribendiinc

Part 1: Initial Considerations

Who needs to write a master’s thesis.

Thesis writing is one of the more daunting challenges of higher education. That being said, not all master's students have to write a thesis. For example, fields that place a stronger emphasis on applied knowledge, such as nursing, business, and education, tend to have projects and exams to test students on the skills and abilities associated with those fields. Conversely, in disciplines that require in-depth research or highly polished creative abilities, students are usually expected to prove their understanding and independence with a thesis.

What's Your Goal?

Do you want to write a thesis? The process is a long one, often spanning years. It's best to know exactly what you want before you begin. Many people are motivated by career goals. For example, hiring managers may see a master's degree as proof that the candidate is an expert within their field and can lead, motivate, and demonstrate initiative for themselves and others. Others dream of earning their doctorate, and they see a master's degree as a stepping stone toward their Ph.D .

No matter what your desired goal is, you should have one before you start your thesis. With your goal in mind, your work will have a purpose, which will allow you to measure your progress more easily.

Major Types of Theses

Once you've carefully researched or even enrolled in a master's program—a feat that involves its own planning and resources —you should know if you are expected to produce a quantitative (which occurs in many math and science programs), qualitative (which occurs in many humanities programs), or creative (which occurs in many creative writing, music, or fine arts programs) thesis.

Time and Energy Considerations

Advanced degrees are notoriously time and energy consuming. If you have a job, thesis writing will become your second job. If you have a family, they will need to know that your thesis will take a great deal of your attention, energy, and focus.

Your studies should not consume you, but they also should not take a back seat to everything else. You will be expected to attend classes, conduct research, source relevant literature, and schedule meetings with various people as you pursue your master's, so it's important to let those you care about know what's going on.

As a general note, most master's programs expect students to finish within a two-year period but are willing to grant extra time if requested, especially if that time is needed to deal with unexpected life events (more on those later).

Part 2: Form an Initial Thesis Question, and Find a Supervisor

When to begin forming your initial thesis question.

Some fields, such as history, may require you to have already formed your thesis question and to have used it to create a statement of intent (outlining the nature of your research) prior to applying to a master’s program. Others may require this information only after you've been accepted. Most of the time, you will be expected to come up with your topic yourself. However, in some disciplines, your supervisor may assign a general research topic to you.

Overall, requirements vary immensely from program to program, so it's best to confirm the exact requirements of your specific program.

What to Say to Your Supervisor

You will have a supervisor during your master's studies. Have you identified who that person will be? If yes, have you introduced yourself via email or phone and obtained information on the processes and procedures that are in place for your master's program? Once you've established contact, request an in-person meeting with him or her, and take a page of questions along with you. Your questions might include:

• Is there a research subject you can recommend in my field?
• I would like to pursue [target research subject] for my thesis. Can you help me narrow my focus?
• Can you give me an example of a properly formatted thesis proposal for my program?

Don't Be Afraid to Ask for Help (to a Degree)

Procedures and expectations vary from program to program, and your supervisor is there to help remove doubt and provide encouragement so you can follow the right path when you embark on writing your thesis. Since your supervisor has almost certainly worked with other graduate students (and was one at some point), take advantage of their experience, and ask questions to put your mind at ease about how to write a master’s thesis.

That being said, do not rely too heavily on your supervisor. As a graduate student, you are also expected to be able to work independently. Proving your independent initiative and capacity is part of what will earn you your master's degree.

Part 3: Revise Your Thesis

Read everything you can get your hands on.

Whether you have a question or need to create one, your next step is simple and applies to all kinds of theses: read.

Seek Out Knowledge or Research Gaps

Read everything you can that relates to the question or the field you are studying. The only way you will be able to determine where you can go is to see where everyone else has been. After you have read some published material, you will start to spot gaps in current research or notice things that could be developed further with an alternative approach. Things that are known but not understood or understood but not explained clearly or consistently are great potential thesis subjects. Addressing something already known from a new perspective or with a different style could also be a potentially valuable project. Whichever way you choose to do it, keep in mind that your project should make a valuable contribution to your field.

Talk with Experts in Your Field (and Don't Be Afraid to Revise Your Thesis)

To help narrow down your thesis topic, talk to your supervisor. Your supervisor will have an idea of what is current in your field and what can be left alone because others are already working on it. Additionally, the school you are attending will have programs and faculty with particular areas of interest within your chosen field.

On a similar note, don't be surprised if your thesis question changes as you study. Other students and researchers are out there, and as they publish, what you are working on can change. You might also discover that your question is too vague, not substantial enough, or even no longer relevant. Do not lose heart! Take what you know and adjust the question to address these concerns as they arise. The freedom to adapt is part of the power you hold as a graduate student.

Part 4: Select a Proposal Committee

What proposal committees are and why they're useful.

When you have a solid question or set of questions, draft a proposal.

You'll need an original stance and a clear justification for asking, and answering, your thesis question. To ensure this, a committee will review your thesis proposal. Thankfully, that committee will consist of people assigned by your supervisor or department head or handpicked by you. These people will be experts who understand your field of study and will do everything in their power to ensure that you are pursuing something worthwhile. And yes, it is okay to put your supervisor on your committee. Some programs even require that your supervisor be on your committee.

Just remember that the committee will expect you to schedule meetings with them, present your proposal, respond to any questions they might have for you, and ultimately present your findings and thesis when all the work is done. Choose those who are willing to support you, give constructive feedback, and help address issues with your proposal. And don't forget to give your proposal a good, thorough edit and proofread before you present it.

How to Prepare for Committee Meetings

Be ready for committee meetings with synopses of your material for committee members, answers for expected questions, and a calm attitude. To prepare for those meetings, sit in on proposal and thesis defenses so you can watch how other graduate students handle them and see what your committee might ask of you. You can even hold rehearsals with friends and fellow students acting as your committee to help you build confidence for your presentation.

Part 5: Write Your Thesis

What to do once your proposal is approved.

After you have written your thesis proposal and received feedback from your committee, the fun part starts: doing the work. This is where you will take your proposal and carry it out. If you drafted a qualitative or quantitative proposal, your experimentation or will begin here. If you wrote a creative proposal, you will now start working on your material. Your proposal should be strong enough to give you direction when you perform your experiments, conduct interviews, or craft your work. Take note that you will have to check in with your supervisor from time to time to give progress updates.

Thesis Writing: It's Important to Pace Yourself and Take Breaks

Do not expect the work to go quickly. You will need to pace yourself and make sure you record your progress meticulously. You can always discard information you don't need, but you cannot go back and grab a crucial fact that you can't quite remember. When in doubt, write it down. When drawing from a source, always create a citation for the information to save your future self time and stress. In the same sense, you may also find journaling to be a helpful process.

Additionally, take breaks and allow yourself to step away from your thesis, even if you're having fun (and especially if you're not). Ideally, your proposal should have milestones in it— points where you can stop and assess what you've already completed and what's left to do. When you reach a milestone, celebrate. Take a day off and relax. Better yet, give yourself a week's vacation! The rest will help you regain your focus and ensure that you function at your best.

How to Become More Comfortable with Presenting Your Work

Once you start reaching your milestones, you should be able to start sharing what you have. Just about everyone in a graduate program has experience giving a presentation at the front of the class, attending a seminar, or watching an interview. If you haven't (or even if you have), look for conferences and clubs that will give you the opportunity to learn about presenting your work and become comfortable with the idea of public speaking. The more you practice talking about what you are studying, the more comfortable you'll be with the information, which will make your committee defenses and other official meetings easier.

Published authors can be called upon to present at conferences, and if your thesis is strong, you may receive an email or a phone call asking if you would share your findings onstage.

Presenting at conferences is also a great way to boost your CV and network within your field. Make presenting part of your education, and it will become something you look forward to instead of fear.

What to Do If Your Relationship with Your Supervisor Sours

A small aside: If it isn't already obvious, you will be communicating extensively with others as you pursue your thesis. That also means that others will need to communicate with you, and if you've been noticing things getting quiet, you will need to be the one to speak up. Your supervisor should speak to you at least once a term and preferably once a week in the more active parts of your research and writing. If you give written work to your supervisor, you should have feedback within three weeks.

If your supervisor does not provide feedback, frequently misses appointments, or is consistently discouraging of your work, contact your graduate program advisor and ask for a new supervisor. The relationship with your supervisor is crucial to your success, especially if she or he is on your committee, and while your supervisor does not have to be friendly, there should at least be professional respect between you.

What to Do If a Crisis Strikes

If something happens in your life that disrupts everything (e.g., emotional strain, the birth of a child, or the death of a family member), ask for help. You are a human being, and personal lives can and do change without warning. Do not wait until you are falling apart before asking for help, either. Learn what resources exist for crises before you have one, so you can head off trauma before it hits. That being said, if you get blindsided, don't refuse help. Seek it out, and take the time you need to recover. Your degree is supposed to help you become a stronger and smarter person, not break you.

Part 6: Polish and Defend Your Master's Thesis

How to write a master’s thesis: the final stages.

After your work is done and everything is written down, you will have to give your thesis a good, thorough polishing. This is where you will have to organize the information, draft it into a paper format with an abstract, and abbreviate things to help meet your word-count limit. This is also where your final editing and proofreading passes will occur, after which you will face your final hurdle: presenting your thesis defense to your committee. If they approve your thesis, then congratulations! You are now a master of your chosen field.

Conclusion and Parting Thoughts

Remember that you do not (and should not) have to learn how to write a master’s thesis on your own. Thesis writing is collaborative, as is practically any kind of research.

While you will be expected to develop your thesis using your own initiative, pursue it with your own ambition, and complete it with your own abilities, you will also be expected to use all available resources to do so. The purpose of a master's thesis is to help you develop your own independent abilities, ensuring that you can drive your own career forward without constantly looking to others to provide direction. Leaders get master's degrees. That's why many business professionals in leadership roles have graduate degree initials after their last names. If you already have the skills necessary to motivate yourself, lead others, and drive change, you may only need your master's as an acknowledgement of your abilities. If you do not, but you apply yourself carefully and thoroughly to the pursuit of your thesis, you should come away from your studies with those skills in place.

A final thought regarding collaboration: all theses have a section for acknowledgements. Be sure to say thank you to those who helped you become a master. One day, someone might be doing the same for you.

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Guide to writing your thesis/dissertation, definition of dissertation and thesis.

The dissertation or thesis is a scholarly treatise that substantiates a specific point of view as a result of original research that is conducted by students during their graduate study. At Cornell, the thesis is a requirement for the receipt of the M.A. and M.S. degrees and some professional master’s degrees. The dissertation is a requirement of the Ph.D. degree.

Formatting Requirement and Standards

The Graduate School sets the minimum format for your thesis or dissertation, while you, your special committee, and your advisor/chair decide upon the content and length. Grammar, punctuation, spelling, and other mechanical issues are your sole responsibility. Generally, the thesis and dissertation should conform to the standards of leading academic journals in your field. The Graduate School does not monitor the thesis or dissertation for mechanics, content, or style.

“Papers Option” Dissertation or Thesis

A “papers option” is available only to students in certain fields, which are listed on the Fields Permitting the Use of Papers Option page , or by approved petition. If you choose the papers option, your dissertation or thesis is organized as a series of relatively independent chapters or papers that you have submitted or will be submitting to journals in the field. You must be the only author or the first author of the papers to be used in the dissertation. The papers-option dissertation or thesis must meet all format and submission requirements, and a singular referencing convention must be used throughout.

ProQuest Electronic Submissions

The dissertation and thesis become permanent records of your original research, and in the case of doctoral research, the Graduate School requires publication of the dissertation and abstract in its original form. All Cornell master’s theses and doctoral dissertations require an electronic submission through ProQuest, which fills orders for paper or digital copies of the thesis and dissertation and makes a digital version available online via their subscription database, ProQuest Dissertations & Theses . For master’s theses, only the abstract is available. ProQuest provides worldwide distribution of your work from the master copy. You retain control over your dissertation and are free to grant publishing rights as you see fit. The formatting requirements contained in this guide meet all ProQuest specifications.

Copies of Dissertation and Thesis

Copies of Ph.D. dissertations and master’s theses are also uploaded in PDF format to the Cornell Library Repository, eCommons . A print copy of each master’s thesis and doctoral dissertation is submitted to Cornell University Library by ProQuest.

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Timelines Unveiled: How Long Does It Take to Craft a Thesis?

The journey of crafting a thesis is a complex and meticulous process that varies greatly among students and disciplines. However, understanding the general timeline and steps involved can provide a roadmap to successful thesis completion. This article delves into the phases of thesis creation, from pre-writing strategies to the final presentation, offering insights into the time commitments and strategies that lead to an effective and rewarding thesis experience.

Key Takeaways

• A well-crafted thesis typically involves a multi-stage process including pre-writing, research, drafting, revising, and finalizing.
• The pre-writing phase is crucial for establishing a clear direction and foundation for the thesis, which includes identifying the research question, conducting literature reviews, and outlining.
• Effective data collection and analysis are central to the research phase, requiring the selection of appropriate methodologies and the use of data management tools.
• Academic writing skills are paramount in composing the thesis draft, where structuring arguments coherently and maintaining academic style are essential.
• Time management and adhering to deadlines are critical throughout the thesis process, with a recommended timeline and buffer periods to accommodate unexpected challenges.

Establishing a Foundation: Pre-Writing Strategies for Theses

Identifying your research question.

Embarking on your thesis journey begins with a pivotal step: identifying your research question. This foundational element sets the trajectory for your entire project. It's essential to pinpoint a question that not only sparks your interest but also fills a gap in existing literature. Consider the impact you hope to make with your research ; aim for a question that promises significance in your field.

As you delve into the preliminary stages, thesis anxiety may surface, clouding your focus. To navigate this, reflect on patterns in existing research and seek out areas that call for further exploration. Here's a list to guide you through this process:

• Locate your research within the context of existing literature.
• Identify repeating patterns and potential dead ends in research findings.
• Determine if your study extends current research or carves a new path.
• Explore sources cited in related works for additional insights.

By methodically addressing these points, you'll craft a research question that not only contributes to academic discourse but also steers you towards a fulfilling scholarly pursuit.

Conducting a Preliminary Literature Review

Embarking on a preliminary literature review is a critical step in your thesis journey. It involves a systematic examination of scholarly articles, books, and other sources pertinent to your research question. Begin by formulating the problem you wish to address, which will guide your search for relevant literature.

The process unfolds in four stages: identifying the problem, searching for literature, evaluating data, and analyzing and interpreting the findings. Here's a concise breakdown:

• Problem formulation : Define the topic and its issues.
• Literature search : Locate materials related to the subject.
• Data evaluation : Determine the significance of the literature to the topic.
• Analysis and interpretation : Discuss the findings and conclusions.

This structured approach ensures that you cover the necessary ground and establish a solid foundation for your thesis. Remember, a thorough literature review not only informs your research but also situates your work within the existing academic discourse. As you delve into the literature, maintain a critical eye to discern the quality and relevance of each source. Your goal is to weave a narrative that supports your research question and lays the groundwork for your thesis statement.

Developing Your Thesis Statement

As you embark on the journey of developing your thesis statement , consider it the cornerstone of your scholarly endeavor. This concise declaration of your study's intent will not only guide your research but also anchor your writing. To ensure clarity and direction, your thesis statement should encapsulate the central idea you wish to explore and hint at the supporting evidence you will present.

To craft a compelling thesis statement, follow these steps:

• Pinpoint the core of your argument.
• Refine your statement to be both specific and manageable.
• Ensure it reflects the significance and originality of your research.

Remember, a well-defined thesis statement will provide focus and motivation throughout your writing process. Websites and tools are available to assist with thesis writing , academic planning, and crafting a research proposal. Utilizing these resources effectively will reinforce the importance of defining your thesis purpose.

Creating a Detailed Outline

Once you have honed your thesis statement, the next critical step is to create a detailed outline. This blueprint of your thesis will guide you through the writing process, ensuring that your argument unfolds in a logical and coherent manner. Begin by breaking down your thesis into major sections , each corresponding to a key component of your research. Within these sections, further delineate subheadings that encapsulate specific arguments, evidence, and analyses you plan to present.

A well-structured outline serves as a roadmap, allowing you to navigate the complexities of your topic without losing sight of the overarching thesis. It is essential to allocate time to refine your outline, as it will streamline the subsequent stages of writing and revision. Consider the following elements when crafting your outline:

• Introduction with a clear thesis statement
• Literature review that situates your work within the existing research
• Methodology section detailing your research approach
• Results and discussion segments that interpret your findings
• Conclusion that synthesizes your research and suggests implications

Effective time management for thesis writing involves setting realistic goals, creating a detailed timeline, breaking down tasks, and utilizing project management tools. By adhering to a well-considered outline, you can ensure that each section of your thesis is given the appropriate amount of attention and effort, ultimately leading to a more polished and impactful final product.

Navigating the Research Maze: Effective Data Collection and Analysis

Selecting appropriate research methodologies.

As you embark on your thesis journey, the selection of appropriate research methodologies is a pivotal step that shapes the trajectory of your study. Your choice of methodology should align with your research question and objectives , ensuring that the data you collect is relevant and robust. Consider the spectrum of methodologies available, ranging from qualitative to quantitative approaches, and reflect on their suitability for your specific research context.

When selecting a methodology, evaluate the following aspects:

• Provenance of the methodology: Does it have a strong academic pedigree?
• Ethical considerations: Will your approach respect the rights and well-being of participants?
• Feasibility: Do you have the necessary resources and skills to employ the methodology effectively?
• Data analysis: How will you interpret the results, and do they provide the answers you seek?

Remember, the methodology is not just a procedural choice; it is an academic commitment that underpins the credibility of your findings. Engage with literature and experts in your field to refine your selection, and be prepared to justify your choice as an integral part of your research design.

Gathering Data Ethically and Efficiently

As you embark on the critical phase of gathering data, it's imperative to prioritize ethical considerations . Your approach must respect the provenance of information, ensuring that the origins and authorship of data are acknowledged. This not only upholds academic integrity but also reinforces the validity of your research. When selecting methodologies, ask yourself if they are well-suited to your research question and if the sample size is sufficient to draw meaningful conclusions. Ensure that your data collection methods are transparent and reproducible , allowing others to trust and verify your findings.

Efficiency in data collection is equally important. Streamline your process by utilizing digital tools for data management and analysis. Here's a simple checklist to keep you on track:

• Verify the credibility of your sources.
• Choose appropriate tools for data analysis.
• Maintain a well-organized database.
• Regularly back up your data to prevent loss.

By adhering to these ethical and efficient practices, you will lay a robust foundation for the subsequent stages of your thesis.

Analyzing Results with Academic Rigor

Once you have gathered your data, the next critical step is to analyze it with academic rigor. This involves a meticulous process of sifting through the data, identifying patterns, and drawing conclusions that are supported by evidence. Ensure that your methodology is robust and appropriate for your research question , as this underpins the validity of your findings.

Consider the following aspects during your analysis:

• Provenance : Evaluate the credentials of your sources and the evidence supporting their arguments.
• Objectivity : Maintain an even-handed perspective and consider all relevant data, including that which may contradict your hypothesis.
• Persuasiveness : Assess which findings are most and least convincing, and why.
• Validity : Critically examine the arguments and conclusions to determine their soundness.

Utilize software tools to manage and analyze your data efficiently. These tools can help you organize your findings and illustrate key points through non-textual elements such as charts and graphs. Remember, the goal is to present your results in a way that is both comprehensible and compelling to your academic audience.

Utilizing Software Tools for Data Management

In the digital age, the use of software tools for data management is indispensable in your thesis journey. Efficient thesis writing with technology tools can significantly enhance productivity and the quality of your thesis writing process. These tools help you track progress, manage deadlines, organize references, and facilitate collaboration.

For instance, reference management software like Zotero or EndNote can save you countless hours by automating the formatting of citations and bibliographies. Data analysis programs such as SPSS or R provide robust platforms for conducting complex statistical analyses, turning raw data into meaningful results. Moreover, project management applications like Trello or Asana enable you to visualize your thesis timeline and keep tasks organized.

Consider the following list of software categories that can aid in your thesis creation:

• Reference Management (e.g., Zotero, EndNote)
• Data Analysis (e.g., SPSS, R, Python)
• Project Management (e.g., Trello, Asana)
• Cloud Storage and Collaboration (e.g., Google Drive, Dropbox)

Embrace these technological advancements to streamline your research and writing process, ensuring a more structured and stress-free thesis experience.

The Art of Academic Writing: Composing the Thesis Draft

Structuring your argument coherently.

As you delve into the art of academic writing, the coherence of your argument becomes paramount. Begin with a clear introduction that sets the stage for your thesis, outlining the central question and the significance of your research. Each subsequent chapter or section should logically follow from the one before, leading the reader through your findings and analysis to a well-supported conclusion.

In the body of your thesis, use a mix of sentence structures and lengths to maintain reader engagement. Ensure that each paragraph conveys a single idea, supported by evidence, and connects to the overall thesis. Variety in sentence construction prevents monotony and keeps the narrative dynamic.

To conclude, reiterate the key insights of your research, emphasizing the contribution your work makes to the field. The table below summarizes the essential components of a coherent thesis structure:

Remember to weave your argument seamlessly, ensuring that each part of your thesis is a stepping stone to the next, building towards a compelling and persuasive scholarly work.

Maintaining an Academic Tone and Style

In the realm of thesis writing, the equilibrium between formality and readability is paramount. You must ensure that your language is neither overly complex nor too casual; it should be precise and convey your arguments with clarity. Avoid the temptation to inflate your prose with unnecessary jargon ; instead, strive for simplicity and directness in your writing.

Your voice is a critical component of your thesis. It should be authentic and reflect your analytical style without compromising the academic standards. Use a variety of sentence structures to keep the reader engaged, and infuse your writing with a sense of passion and engagement. Here are some key points to consider:

• Check your vocabulary and tone for the right balance between formal and informal.
• Be deliberate and authentic in every sentence.
• Use varied sentence lengths and structures for readability.

Remember, your goal is to communicate your research findings effectively, not to impress with ornate language. By maintaining an academic tone and style, you ensure that your thesis is taken seriously by your peers and advisors.

Incorporating Citations and References

As you weave the tapestry of your thesis, citations and references are the threads that add credibility and acknowledge the scholarly work that underpins your research. The meticulous process of citing sources guards against the perils of plagiarism, a cardinal sin in academia. You must choose between footnotes or endnotes, each serving a distinct purpose in scholarly writing.

To ensure accuracy and consistency in your citations, consider the following steps:

• Determine the appropriate citation style for your discipline (e.g., APA, MLA, Chicago).
• Use citation management software to organize and format your references.
• Cross-check each citation with the original source to avoid errors.

Remember, a well-crafted bibliography not only serves as a roadmap to your research but also positions your work within the larger academic conversation. By meticulously incorporating citations and references, you demonstrate your integrity as a researcher and contribute to the trustworthiness of your scholarly endeavor.

Balancing Depth of Content with Readability

As you delve into the intricate process of thesis writing, it's crucial to strike a balance between the depth of your content and its readability. Ensure your thesis remains accessible to your audience without compromising on the scholarly rigor expected of such a work. To achieve this, consider the following strategies:

• Use varied sentence lengths and structures to maintain reader engagement.
• Be selective with the information you include; prioritize relevance to your research question.
• Employ storytelling and real-life examples to illustrate complex concepts.

Remember, your goal is to convey your findings and arguments in a manner that is both comprehensive and comprehensible. By interspersing detailed analysis with clear explanations, you create a thesis that is not only informative but also inviting to read. This delicate equilibrium is not just a matter of style, but a reflection of your ability to communicate effectively within the academic community.

Peer Review and Revision: Refining Your Scholarly Work

Seeking constructive feedback from advisors and colleagues.

As you navigate the intricate process of thesis writing, seeking feedback becomes a pivotal step. Engage with your advisors and colleagues, presenting them with your draft to gain diverse perspectives. Their insights can be invaluable, often highlighting areas that may require further refinement or presenting new angles to consider. Ensure that the feedback is constructive , focusing on both the strengths and weaknesses of your work.

Incorporate the feedback judiciously, balancing the suggestions with your own academic voice and vision. Here's a structured approach to integrating feedback:

• Review all comments and categorize them based on relevance and impact.
• Prioritize revisions that align with your thesis objectives.
• Discuss any conflicting feedback with your advisor to reach a consensus.
• Revise your draft, enhancing clarity, coherence, and scholarly depth.

Remember, feedback is not just about correction, but about growth and learning. Embrace it as a crucial component of your thesis journey, allowing it to guide you towards a more polished and persuasive scholarly work.

Implementing Revisions for Clarity and Precision

After receiving feedback on your thesis, it's time to focus on implementing revisions for clarity and precision. This stage is about refining your argument and ensuring that your message is conveyed effectively. Ensure that your arguments are coherent and logically structured ; this will make your thesis more persuasive and easier to follow.

Consider the following points during your revision process:

• Review the organization of your paragraphs and chapters.
• Check for consistency in terminology and definitions.
• Eliminate any redundancies or irrelevant information.
• Verify the accuracy of your citations and references.

Remember, the goal is to enhance the readability and scholarly integrity of your work. Revisions are not just about correcting errors; they are an opportunity to strengthen your thesis and articulate your research findings more compellingly.

Ensuring Consistency Across All Thesis Chapters

Achieving consistency in your thesis is crucial to presenting a professional and coherent body of work. Ensure that each chapter aligns with your thesis statement and maintains a uniform structure, tone, and style. This not only aids in readability but also reinforces the strength of your argument.

To maintain consistency, consider the following checklist:

• Review chapter introductions and conclusions for alignment with the overall thesis goals.
• Verify the use of terminology and definitions throughout the text.
• Standardize figures, tables, and appendices in format and labeling.
• Harmonize citation and reference styles according to your academic discipline's guidelines.

By systematically addressing these areas, you can create a seamless narrative that enhances the credibility of your scholarly work. Remember, a consistent thesis is a sign of meticulous research and academic discipline.

Preparing for the Final Presentation or Defense

As you approach the culmination of your thesis journey, the final presentation or defense stands as a testament to your hard work and scholarly dedication. This momentous event is not merely a formality but a pivotal opportunity to showcase your research . It is essential to rehearse your presentation meticulously, anticipating potential questions and criticisms. Your ability to articulate your findings and defend your methodology will demonstrate the depth of your expertise.

In preparation, consider organizing a mock defense with your peers or advisors to refine your delivery and argumentation skills. This exercise will help you gain valuable feedback and boost your confidence. Below is a checklist to ensure you are thoroughly prepared for the big day:

• Review your thesis thoroughly
• Prepare a clear and concise presentation
• Anticipate possible questions
• Practice your defense with an audience

After your thesis presentation, take time to reflect on your achievement and celebrate your progress. Consider the feedback received as a means to further refine your thesis. Moreover, explore publishing opportunities, as they can significantly contribute to your professional development.

Time Management and Deadlines: Scheduling Success

Creating a realistic timeline for thesis completion.

Crafting a thesis is a marathon, not a sprint, and establishing a realistic timeline is crucial to crossing the finish line successfully. Begin by mapping out each phase of your thesis journey , from the initial research to the final defense. Allocate a generous amount of time for each stage, understanding that some tasks may take longer than anticipated.

Consider the following steps to create a structured timeline:

• Determine the final deadline for thesis submission and work backward to set milestones.
• Estimate the time needed for each component of your thesis, including research, writing, and revision.
• Include buffer periods to account for unexpected delays or additional research needs.

By breaking down your thesis into manageable segments, you can maintain a steady pace and reduce the risk of burnout. Regularly review and adjust your timeline as needed, ensuring that you remain on track. Remember, a well-planned timeline is a foundation for thesis success.

Balancing Thesis Work with Other Academic Responsibilities

As you delve into the depths of your thesis, it's crucial to maintain equilibrium with your other academic pursuits. Effective time management is key to ensuring that your thesis does not overshadow your coursework, extracurricular activities, or personal well-being. Allocate specific time slots for thesis work and adhere to them with discipline. This approach allows you to dedicate undivided attention to each task, be it research, writing, or studying for exams.

To help you visualize your weekly commitments, consider creating a schedule that outlines your activities. Here's an example of how you might structure your week:

• Monday: 3 hours of thesis research
• Tuesday: Classes and study groups
• Wednesday: 2 hours of thesis writing
• Thursday: Classes and extracurricular activities
• Friday: 1 hour of thesis editing
• Saturday: Rest and personal time
• Sunday: Review and plan for the upcoming week

Remember, the key to balancing your responsibilities is not just about dividing your time, but also about managing your energy. Engage in self-care practices and ensure you have time to recharge. This holistic approach will support your academic success and promote a healthier, more sustainable thesis journey.

Understanding the Importance of Buffer Periods

In the meticulous journey of thesis writing, buffer periods are not merely a suggestion—they are a necessity. Buffer periods act as a safety net , allowing you to accommodate unforeseen delays without derailing your entire timeline. These periods are strategically placed intervals that give you the flexibility to refine your work, delve deeper into your analysis, or simply catch your breath.

Consider buffer periods as the breathing room for your academic endeavors. They are the quiet acknowledgment that research is often unpredictable, and perfection takes time. To illustrate, here's a simple breakdown of how you might integrate buffer periods into your thesis timeline:

• Weeks 1-4 : Initial research and topic selection
• Weeks 5-8: Literature review and methodology development
• Weeks 9-10 : Buffer period for additional reading or unexpected setbacks
• Weeks 11-14: Data collection
• Weeks 15-16 : Buffer period to assess data quality
• Weeks 17-20: Data analysis
• Weeks 21-22 : Buffer period for revising draft
• Weeks 23-26: Finalizing thesis

By embedding these pauses into your schedule, you ensure that each phase of your thesis receives the attention it deserves. Moreover, buffer periods can be a strategic tool to enhance the quality of your work, providing time to reflect on your findings and polish your arguments.

Adhering to Institutional Deadlines and Requirements

As you approach the final stages of your thesis, it is crucial to align your schedule with the institutional deadlines and requirements. Ensure your thesis submission aligns with the official deadlines set by your graduate school or department. This often includes completing specific steps by the submission deadline, which may vary between institutions.

To effectively manage this process, consider the following steps:

• Verify the submission deadlines and any associated requirements well in advance.
• Mark these dates on your calendar and set reminders to avoid any last-minute rush.
• If applicable, order any required hard copies of your thesis in time to meet the submission criteria.

Adherence to these deadlines is not just a formality; it is a testament to your professionalism and commitment to the academic process. Late submissions can lead to unnecessary delays in graduation and may even impact your future academic and professional opportunities.

Mastering the art of time management and meeting deadlines is crucial for success in any field. Our comprehensive guide on 'Scheduling Success' offers practical tips and strategies to help you stay on top of your tasks and achieve your goals. Don't let time slip away; visit our website now to unlock the secrets of effective time management and take control of your schedule!

In conclusion, the journey to crafting a thesis is a multifaceted endeavor that requires meticulous planning, dedication, and a strategic approach. The timeline for completing a thesis can vary greatly depending on individual circumstances, institutional requirements, and the complexity of the research topic. However, it is evident that allowing ample time for each phase of the process—from topic selection to final editing—is crucial for producing a scholarly work of high quality. By understanding the recommended timelines and integrating structured planning tools, such as those offered by Research Rebels, students can navigate their thesis journey with greater confidence and precision. Ultimately, the investment of time and effort into the thesis-writing process is a testament to the academic rigor and intellectual growth that characterize the pursuit of higher education.

Frequently Asked Questions

How long does it typically take to write a thesis.

The time it takes to write a thesis can vary greatly depending on the complexity of the topic, the field of study, and the individual's working pace. However, a typical timeframe from start to finish can range from several months to a couple of years.

What are the first steps in starting a thesis?

The first steps include identifying your research question, conducting a preliminary literature review, developing your thesis statement, and creating a detailed outline.

How important is the research methodology in a thesis?

Selecting an appropriate research methodology is crucial as it dictates how data will be collected, analyzed, and interpreted. It's a foundational element that underpins the credibility and academic rigor of the thesis.

What should I focus on when drafting my thesis?

Focus on structuring your argument coherently, maintaining an academic tone, incorporating citations and references accurately, and balancing the depth of content with readability.

How can I effectively manage my time when writing a thesis?

Create a realistic timeline for thesis completion, balance work with other academic responsibilities, understand the importance of buffer periods, and adhere to institutional deadlines.

What role does peer review play in the thesis writing process?

Peer review is essential for refining your work. It involves seeking feedback from advisors and colleagues, implementing revisions for clarity and precision, and ensuring consistency across all chapters before the final presentation or defense.

How to Ask a Research Question: Crafting Inquiries that Matter

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How long does it take to write a dissertation, published by steve tippins on july 11, 2019 july 11, 2019.

Last Updated on: 2nd February 2024, 05:00 am

How long does it take to write a dissertation? The most accurate (and least helpful) answer is, it depends. Since that’s probably not the answer you’re looking for, I’ll use the rest of the article to address the realities of how long it takes to write a dissertation.

How Long Does It Take to Write a Dissertation?

Based on my experience, writing your dissertation should take somewhere between 13-20 months. These are average numbers based upon the scores of doctoral students that I have worked with over the years, and they generally hold true.

I have seen people take less time and more time, but I believe that with concerted effort, the 13-20 month timeframe is reasonable. 

“Based on my experience, writing your dissertation should take somewhere between 13-20 months.”

University Requirements

Once you hit the dissertation stage, some schools require a minimum number of hours in the dissertation area before you can graduate. Many schools require the equivalent of one year of dissertation credits to graduate. 

So, even if you can finish your dissertation in three months, you will still have to pay for nine more months of dissertation credits before you can graduate. However, unless research and writing is your superpower, I wouldn’t worry about having to pay extra tuition.

But this requirement does offer some insight into how long it takes to write a dissertation. Based on this requirement, it’s reasonable to expect that writing your dissertation will take a year of more. This is consistent with my experience.

However, this timeframe is based on several assumptions. First, I am assuming that you are continually working towards finishing your dissertation. This means that no family emergencies, funding conundrums, or work issues get in the way of completing. Second, there are no major changes in your dissertation committee. Third, you will have access to the data that you need. 

Assuming these assumptions hold true, this article should give you a general idea of how long it might take to write your dissertation.

How Long Does it Take to Write A Dissertation? Stage-By-Stage

Let’s break down each stage of the dissertation writing process and how long it takes. 

Prospectus 

This is the hardest one to judge, as this is where you lay the groundwork for the rest of your dissertation and get buy-in from committee members. Normally this takes from 3-6 months. Not all of this is writing time, though–much of it is spent refining your topic and your approach.

Why does this stage take so long? For many people, starting to express themselves using an academic voice can take time. This can hold up the review process as your committee members ask for writing-related revisions before they even get to evaluating the content. Don’t worry, once you learn the academic language things will start to flow more easily.

One common mistake students make is lack of specificity, both in their writing in general and in their topic focus. 

Proposal (Chapters 1-3)

Chapter 1 is often an expansion of your Prospectus. However, you’ll be expected to develop your ideas more and have even more specificity on things like your research question and methodology, so don’t underestimate how long this chapter will take.

Chapter 2 can take some time as you will be digging deep into the literature but I think this can be done in 3-4 months. One caution, some people, and committees, like to start with Chapter 2 so that you are immersed in the literature before completing Chapters 1 and 3. Regardless of where you start, 3-4 months is a good estimate.

Chapter 3 requires an in-depth explanation of your methodology. I suggest working closely with your Chair on this one to avoid multiple submissions and revisions. Get clear on your methodology and make sure you and your chair are on the same page before you write, and continue to check in with your chair, if possible, throughout the process.

IRB Approval

While this step can be full of details and require several iterations it seems that allowing 2 months is sufficient. Most schools have an IRB form that must be submitted. To save time you can usually start filling out the form while your committee is reviewing your Proposal.

Collecting Data

This step varies a great deal. If you are using readily available secondary data this can take a week but if you are interviewing hard to get individuals or have trouble finding a sufficient number of people for your sample this can take 4 months or more. I think 1-4 months should be appropriate

Chapters 4 and 5

These two chapters are the easiest to write as in Chapter 4 you are reporting your results and in Chapter 5 you explain what the results mean. I believe that these two chapters can be written in 2 months.

Defense and Completion

You will need to defend your dissertation and then go through all of the university requirements to finalize the completion of your dissertation. I would allow 2 months for this process.

Variables That Affect How Long It Takes to Write A Dissertation 

When students say something like, “I’m going to finish my dissertation in three months,” they likely aren’t considering all of the variables besides the actual writing. Even if you’re a fast writer, you’ll have to wait on your committee’s comments, 

Timing Issues

Many schools have response times for committee members. This is important when looking at how long it takes to finish a dissertation. For example, it you have two committee members and they each get up to 2 weeks for a review, it can take up to a month to get a document reviewed, each time you submit. So, plan for these periods of time when thinking about how long that it will take you.

Addressing Comments

How long it takes to write your dissertation also depends on your ability to address your committee’s comments thoroughly. It’s not uncommon for a committee member to send a draft back several times, even if their comments were addressed adequately, because they notice new issues each time they read it. Save yourself considerable time by making sure you address their comments fully, thus avoiding unnecessary time waiting to hear the same feedback.

This is the biggest variable in the dissertation model. How dedicated are you to the process? How much actual time do you have? How many outside interests/requirements do you have? Are you easily distracted? How clean does your workspace need to be? (This may seem like a strange thing to discuss, but many people need to work in a clean space and can get very interested in cleaning if they have to write). Are you in a full-time program or in a part time program? Are you holding down a job? Do you have children? 

All of these things will affect how much time you have to put into writing–or rather, how disciplined you need to be about making time to write.

One of the things that can influence how long it takes to write your dissertation is your committee. Choose your committee wisely. If you work under the assumption that the only good dissertation is a done dissertation, then you want a committee that will be helpful and not trying to prove themselves on your back. When you find a Chair that you can work with ask her/him which of their colleagues they work well with (it’s also worth finding out who they don’t work well with).

Find out how they like to receive material to review. Some members like to see pieces of chapters and some like to see completed documents. Once you know their preferences, you can efficiently submit what they want when they want it.

How Long Does it Take to Write a Dissertation? Summary

Barring unforeseen events, the normal time range for finishing a dissertation seems to be 13-19 months, which can be rounded to one to one and a half years. If you are proactive and efficient, you can usually be at the shorter end of the time range. 

That means using downtime to do things like changing the tense of your approved Proposal from future tense to past tense and completing things like you Abstract and Acknowledgement sections before final approval.

I hope that you can be efficient in this process and finish as quickly as possible. Remember, “the only good dissertation is a done dissertation.”

On that note, I offer coaching services to help students through the dissertation writing process, as well as editing services for those who need help with their writing.

Steve Tippins

Steve Tippins, PhD, has thrived in academia for over thirty years. He continues to love teaching in addition to coaching recent PhD graduates as well as students writing their dissertations. Learn more about his dissertation coaching and career coaching services. Book a Free Consultation with Steve Tippins

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How to Write a Strong Thesis Statement: 4 Steps + Examples

What’s Covered:

What is the purpose of a thesis statement, writing a good thesis statement: 4 steps, common pitfalls to avoid, where to get your essay edited for free.

When you set out to write an essay, there has to be some kind of point to it, right? Otherwise, your essay would just be a big jumble of word salad that makes absolutely no sense. An essay needs a central point that ties into everything else. That main point is called a thesis statement, and it’s the core of any essay or research paper.

You may hear about Master degree candidates writing a thesis, and that is an entire paper–not to be confused with the thesis statement, which is typically one sentence that contains your paper’s focus. 

Read on to learn more about thesis statements and how to write them. We’ve also included some solid examples for you to reference.

Typically the last sentence of your introductory paragraph, the thesis statement serves as the roadmap for your essay. When your reader gets to the thesis statement, they should have a clear outline of your main point, as well as the information you’ll be presenting in order to either prove or support your point. 

The thesis statement should not be confused for a topic sentence , which is the first sentence of every paragraph in your essay. If you need help writing topic sentences, numerous resources are available. Topic sentences should go along with your thesis statement, though.

Since the thesis statement is the most important sentence of your entire essay or paper, it’s imperative that you get this part right. Otherwise, your paper will not have a good flow and will seem disjointed. That’s why it’s vital not to rush through developing one. It’s a methodical process with steps that you need to follow in order to create the best thesis statement possible.

Step 1: Decide what kind of paper you’re writing

When you’re assigned an essay, there are several different types you may get. Argumentative essays are designed to get the reader to agree with you on a topic. Informative or expository essays present information to the reader. Analytical essays offer up a point and then expand on it by analyzing relevant information. Thesis statements can look and sound different based on the type of paper you’re writing. For example:

• Argumentative: The United States needs a viable third political party to decrease bipartisanship, increase options, and help reduce corruption in government.
• Informative: The Libertarian party has thrown off elections before by gaining enough support in states to get on the ballot and by taking away crucial votes from candidates.
• Analytical: An analysis of past presidential elections shows that while third party votes may have been the minority, they did affect the outcome of the elections in 2020, 2016, and beyond.

Step 2: Figure out what point you want to make

Once you know what type of paper you’re writing, you then need to figure out the point you want to make with your thesis statement, and subsequently, your paper. In other words, you need to decide to answer a question about something, such as:

• What impact did reality TV have on American society?
• How has the musical Hamilton affected perception of American history?
• Why do I want to major in [chosen major here]?

If you have an argumentative essay, then you will be writing about an opinion. To make it easier, you may want to choose an opinion that you feel passionate about so that you’re writing about something that interests you. For example, if you have an interest in preserving the environment, you may want to choose a topic that relates to that. 

If you’re writing your college essay and they ask why you want to attend that school, you may want to have a main point and back it up with information, something along the lines of:

“Attending Harvard University would benefit me both academically and professionally, as it would give me a strong knowledge base upon which to build my career, develop my network, and hopefully give me an advantage in my chosen field.”

Step 3: Determine what information you’ll use to back up your point

Once you have the point you want to make, you need to figure out how you plan to back it up throughout the rest of your essay. Without this information, it will be hard to either prove or argue the main point of your thesis statement. If you decide to write about the Hamilton example, you may decide to address any falsehoods that the writer put into the musical, such as:

“The musical Hamilton, while accurate in many ways, leaves out key parts of American history, presents a nationalist view of founding fathers, and downplays the racism of the times.”

Once you’ve written your initial working thesis statement, you’ll then need to get information to back that up. For example, the musical completely leaves out Benjamin Franklin, portrays the founding fathers in a nationalist way that is too complimentary, and shows Hamilton as a staunch abolitionist despite the fact that his family likely did own slaves. 

Step 4: Revise and refine your thesis statement before you start writing

Read through your thesis statement several times before you begin to compose your full essay. You need to make sure the statement is ironclad, since it is the foundation of the entire paper. Edit it or have a peer review it for you to make sure everything makes sense and that you feel like you can truly write a paper on the topic. Once you’ve done that, you can then begin writing your paper.

When writing a thesis statement, there are some common pitfalls you should avoid so that your paper can be as solid as possible. Make sure you always edit the thesis statement before you do anything else. You also want to ensure that the thesis statement is clear and concise. Don’t make your reader hunt for your point. Finally, put your thesis statement at the end of the first paragraph and have your introduction flow toward that statement. Your reader will expect to find your statement in its traditional spot.

If you’re having trouble getting started, or need some guidance on your essay, there are tools available that can help you. CollegeVine offers a free peer essay review tool where one of your peers can read through your essay and provide you with valuable feedback. Getting essay feedback from a peer can help you wow your instructor or college admissions officer with an impactful essay that effectively illustrates your point.

Related CollegeVine Blog Posts

How long is a Thesis or dissertation? [the data]

Writing a thesis for your undergraduate, master’s, or PhD can be a very daunting task. Especially when you consider how long a thesis can get. However, not all theses are the same length and the expected submission length is dependent on the level of study that you are currently enrolled in and the field in which you are studying.

An undergraduate thesis is likely to be about 20 to 50 pages long. A Master’s thesis is likely to be between 30 and 100 pages in length and a PhD dissertation is likely to be between 50 and 450 pages long.

In the table below I highlight the typical length of an undergraduate, master’s, and PhD.

It is important to note that this is highly dependent on the field of study and the expectations of your university, field, and research group.

If you want to know more about how long a Masters’s thesis and PhD dissertation is you can check out my other articles:

• How Long is a Masters Thesis? [Your writing guide]
• How long is a PhD dissertation? [Data by field]
• How to write a masters thesis in 2 months [Easy steps to start writing]

These articles go into a lot more detail and specifics of each level of study.

Let’s take a more detailed look at the length of a thesis or dissertation. We’ll start from the very basics including what a thesis or dissertation really is.

What exactly is a thesis or a dissertation?

A thesis or a dissertation is a research project that is typically required of students in order to gain an advanced degree.

A dissertation is usually much longer and more detailed than a thesis, but they both involve extensive research and provide an in-depth analysis of their given subject.

Many people use the term interchangeably but quite often a Masters level research project results in a thesis. While a PhD research project results in a much longer dissertation.

Thesis work is usually completed over the course of several months and can require multiple drafts and revisions before being accepted. These will be looked over by your supervisor to ensure that you are meeting the expectations and standards of your research field.

PhD Dissertations are typically even more involved, taking years to complete. My PhD took me three years to complete but it is usual for them to take more than five years.

Both a thesis and a dissertation involve researching a particular topic, formulating an argument based on evidence gathered from the research, and presenting the findings in written form for review by peers or faculty members.

My Master’s thesis was reviewed by the chemistry Department whilst my PhD thesis was sent to experts in the field around the world.

Ultimately, these experts provide a commentary on whether or not you have reached the standards required of the University for admittance into the degree and the final decision will be made upon reviewing these comments by your universities graduation committee.

There are several outcomes including:

• accepted without changes – this is where you must make no changes to your thesis and is accepted as is.
• accepted with minor changes this is where your thesis will require some minor changes before being admitted to the degree. Usually, it is not sent back to the reviewers.
• Major changes – this is where the committee has decided that you need to rework a number of major themes in your thesis and will likely want to see it at a later stage.
• Rejected – this is where the thesis is rejected and the recommendation to downgrade your degree is made.

What is the typical length of a thesis or dissertation?

The length of a thesis or dissertation varies significantly according to the field of study and institution.

Generally, an undergraduate thesis is between 20-50 pages long while a PhD dissertation can range from 90-500 pages in length.

However, longer is not necessarily better as a highly mathematical PhD thesis with proofs may only be 50 pages long.

It also depends on the complexity of the topic being studied and the amount of research required to complete it.

A PhD dissertation should contain as many pages and words as it takes to outline the current state of your field and provide adequate background information, present your results, and provide confidence in your conclusions. A PhD dissertation will also contain figures, graphs, schematics, and other large pictorial items that can easily inflate the page count.

Here is a boxplot summary of many different fields of study and the number of pages of a typical PhD dissertation in the field.  It has been created by Marcus Beck  from all of the dissertations at the University of Minnesota.

Typically, the mathematical sciences, economics, and biostatistics theses and dissertations tend to be shorter because they rely on mathematical formulas to provide proof of their results rather than diagrams and long explanations.

On the other end of the scale, English, communication studies, political science, history and anthropology are often the largest theses in terms of pages and word count because of the number of words it takes to provide proof and depth of their results.

At the end of the day, it is important that your thesis gets signed off by your review committee and other experts in the field. Your supervisor will be the main judge of whether or not your dissertation is capable of satisfying the requirements of a master’s or doctoral degree in your field. 

How Many Pages Should a Master or PhD Thesis Have? Length of a thesis?

The length of a master’s thesis can vary greatly depending on the subject and format.

Generally, a masters thesis is expected to be around 100 pages long and should include:

• a title page,
• table of contents,
• introduction,
• literature review, 
• main test and body of work, 
• discussions and citations,
• conclusion,
• bibliography
• and (sometimes) appendix.

Your supervisor should provide you with a specific format that you are expected to follow.

Depending on your field of study and the word count specified by your supervisor, these guidelines may change. The student must ask their advisor for examples of past student thesis and doctoral dissertations. 

For example, if there is a limited number of words allowed in the thesis then it may not be possible to have 100 pages or more for the thesis.

Additionally, if you are including a lot of technical information such as diagrams or tables in the appendix then this could increase the page count as well. For example, my PhD thesis contained a page like the one below. This page only contains images from atomic force microscopy. Because my PhD was very visual many pages like this exist.

Ultimately it is important to consult with your supervisor and determine how many pages your master’s thesis or PhD dissertation will be expected to have.

How long does it take to write a graduate thesis? Write your thesis quickly

Writing a graduate thesis can be a daunting task.

It is typically expected to take anywhere from one to three years, depending on the subject and scope of the project.

However, this is not just writing. A typical thesis or dissertation will require you to:

• formulate a research question
• do a literature review
• create research methodology
• perform original research
• collect and analyse results
• write peer-reviewed research papers
• write a PhD/masters thesis
• submit thesis and respond to examiners comments.

The actual writing component of a thesis or dissertation can take anywhere from one month to 6 months depending on how focused the graduate student is.

The amount of time it takes to write a thesis or dissertation can vary based on many factors, such as the type of research required, the length of the project, and other commitments that may interfere with progress.

Some students may have difficulty focusing or understanding their topic which can also add to the amount of time it takes to complete the project.

Regardless, writing a thesis is an important part of obtaining a graduate degree and should not be taken lightly.

It requires dedication and determination in order for one to successfully complete a thesis or dissertation within an appropriate timeframe.

In my YouTube video, below, I talk about how to finish your thesis or dissertation quickly:

it is full of a load of secrets including owning your day, managing your supervisor relationship, setting many goals, progress over perfection, and working with your own body clock to maximise productivity.

Wrapping up

This article has been through everything you need to know about the typical length of a thesis.

The answer to this question is highly dependent on your field of study and the expectations of your supervisor and university.

Dr Andrew Stapleton has a Masters and PhD in Chemistry from the UK and Australia. He has many years of research experience and has worked as a Postdoctoral Fellow and Associate at a number of Universities. Although having secured funding for his own research, he left academia to help others with his YouTube channel all about the inner workings of academia and how to make it work for you.

Thank you for visiting Academia Insider.

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Emeritus Professor, Edinburgh Napier University

How long does it take to write a PhD thesis?

My short answer is 68 days, but please read the detail below…

Bold resolutions: “Piled Higher and Deeper” by Jorge Cham www.phdcomics.com

As a PhD supervisor I have often been asked ‘How long do you think it will take me to write up my thesis?’ My answer always begins ‘It depends…’ We then continue the conversation with an audit of material already drafted that may contribute (in edited format) to the final thesis. These include the initial literature review from the first year transfer report, and posters, conference papers and journal articles presented and/or published from the on-going work.

For example third year PhD student John Mowbray , who is currently based within the Centre for Social Informatics (CSI) at Edinburgh Napier University , has a strong basis for his literature review chapter in the form of a conference paper delivered at CoLIS 2016 , which is due to be published in full in Information Research later this year. Similarly John’s fellow student Frances Ryan has already published an account of research design for her study. This paper will underpin the writing of her methods chapter.

Then we consider less formal sources, such as any discussions or debates that the student has documented publicly elsewhere, for example in blog posts. See, for instance Lyndsey Jenkins ‘ recent thoughts about the importance of research domain at http://lyndseyjenkins.org. These may well contribute to a section of Lyndsey’s methods chapter when she comes to write up her work in 2018.

The students also have ‘non-public’ material about their work that will be adapted for their theses. These include interim reports for their supervisors and/or other stakeholders. For example, last semester CSI PhD student Iris Buunk wrote a report on some of the empirical work that she has conducted for the body that gave her access to survey respondents. Handwritten ideas and remarks kept in notebooks over the course of PhD registration are also very valuable ‘private’ resources.

Once we have completed this audit, the challenge of transforming all the work completed to date into an 80,000 word thesis appears not to be so great – but of course, it still all needs to be done!

Records from writing up my own PhD have also recently served as another source for answering questions about preparing the main output of the doctoral study. I undertook my PhD part-time over a period of just over four years while working full-time. Throughout this period there were weeks when I could not progress my work at all. This was largely due to other commitments in intensive periods related to teaching such as the marking season towards the end of each semester. There were other times when it was much easier to devote myself to my PhD. For example, I took annual leave in University vacation time for this purpose (rather than went away on holiday). To guard against losing track of my PhD at times when I was too busy to devote any time to it I kept detailed notes of my progress. As a result of this, I know exactly how much time I spent writing up each chapter for the final version of the thesis. Although all PhD theses are different, the proportion of time on each type of chapter may be helpful to those who have resolved to submit their theses in 2017.

In total it took me 68 days to write up my thesis (NB 68 to write up the work, not 68 days to complete the PhD!) This is the equivalent of approximately 14 working weeks, assuming a five day week. It needs to be borne in mind, however, that I was a part-time student. In practice the writing up was done over the last seven months of the four and half years in which I worked on the entire doctoral study.

The largest portion of the writing-up time – around three quarters – was spent on the two chapters that related the findings of my research, and about a fifth on the discussion chapter. My literature review took very little time to write up (just 5 days) because I had already presented much of it in published form. The methods and conclusions chapters did not take very long either (3.5 and 2.5 days respectively) largely because their content was straightforward. My introductory chapter was very short at a page and a half and was thus drafted in just a couple of hours.

As might be deduced from the time allocations given above, I found the results and discussion chapters most heavy-going. The former was due to the quantity of empirical data to convert into a fluent account of the findings, and the latter because of the intellectual challenge of expressing the meaning of the findings and how the outcomes of my study represented an original contribution to the domain. However, once these two elements were ‘cracked’ it was a relatively easy task to pull all the other chapters together.

If you are reading this blog post as a PhD student in the later stages of your work, I would advise you to be prepared for the long haul of writing up your results and the discussion chapters, and ensure that you allocate a high proportion of your write-up time to these accordingly. It is also worth noting that I found that the closer I came to the target of completing my write-up, the more important it was for me to avoid other distractions. You cannot control for all of them (for example, illness), but I would caution against getting actively involved in anything that will take you away from your PhD at this intensive stage, such as planning a big event (for example, a major holiday, a house move, or a family wedding) or starting a new job.

If you are still in the early stages of your doctoral study, my first piece of advice is to plan your conference participation and journal paper publishing activity with the final thesis in mind. Be selective and strategic so that you prioritise engagement in external events that are valuable to the completion of your thesis and/or your future career. Each piece of work that you present externally should progress your study by encouraging you to write-up as you go along (for example in the form of a poster, a set of slides, a full paper), defend your ideas in person within your academic community, seek feedback on work completed to date, and solicit advice on the later stages. You should also be documenting any thoughts or ideas that may be valuable to writing up in a format that make sense to you, whether this be in a set of handwritten notes or in a more public format such as a series of structured blog posts.

Good luck to all those who will submit their theses in 2017!

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Reference management. Clean and simple.

How long are thesis statements? [with examples]

What is the proper length of a thesis statement?

Examples of thesis statements, frequently asked questions about the length of thesis statements, related articles.

If you find yourself in the process of writing a thesis statement but you don't know how long it should be, you've come to right place. In the next paragraphs you will learn about the most efficient way to write a thesis statement and how long it should be.

A thesis statement is a concise description of your work’s aim.

The short answer is: one or two sentences. The more i n-depth answer: as your writing evolves, and as you write longer papers, your thesis statement will typically be at least two, and often more, sentences. The thesis of a scholarly article may have three or four long sentences.

The point is to write a well-formed statement that clearly sets out the argument and aim of your research. A one sentence thesis is fine for shorter papers, but make sure it's a full, concrete statement. Longer thesis statements should follow the same rule; be sure that your statement includes essential information and resist too much exposition.

Here are some basic rules for thesis statement lengths based on the number of pages:

• 5 pages : 1 sentence
• 5-8 pages : 1 or 2 sentences
• 8-13 pages : 2 or 3 sentences
• 13-23 pages : 3 or 4 sentences
• Over 23 pages : a few sentences or a paragraph

Joe Haley, a former writing instructor at Johns Hopkins University exemplified in this forum post the different sizes a thesis statement can take. For a paper on Jane Austen's  Pride and Prejudice,  someone could come up with these two theses:

In Jane Austen's  Pride and Prejudice , gossip is an important but morally ambiguous tool for shaping characters' opinions of each other.

As the aforementioned critics have noted, the prevalence of gossip in Jane Austen's  oeuvre  does indeed reflect the growing prominence of an explicitly-delineated private sphere in nineteenth-century British society. However, in contrast with these critics' general conclusions about Austen and class, which tend to identify her authorial voice directly with the bourgeois mores shaping her appropriation of the  bildungsroman,  the ambiguity of this communicative mode in  Pride and Prejudice  suggests that when writing at the height of her authorial powers, at least, Austen is capable of skepticism and even self-critique. For what is the narrator of her most celebrated novel if not its arch-gossip  par excellence ?

Both statements are equally sound, but the second example clearly belongs in a longer paper. In the end, the length of your thesis statement will depend on the scope of your work.

There is no exact word count for a thesis statement, since the length depends on your level of knowledge and expertise. A two sentence thesis statement would be between 20-50 words.

The length of the work will determine how long your thesis statement is. A concise thesis is typically between 20-50 words. A paragraph is also acceptable for a thesis statement; however, anything over one paragraph is probably too long.

Here is a list of Thesis Statement Examples that will help you understand better how long they can be.

As a high school student, you are not expected to have an elaborate thesis statement. A couple of clear sentences indicating the aim of your essay will be more than enough.

Here is a YouTube tutorial that will help you write a thesis statement: How To Write An Essay: Thesis Statements by Ariel Bisset.

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What is a Tentative Thesis and How to Write One? A Step-by-Step Guide

A college or university thesis is considered the best achievement for students because of their hard work. In short, the thesis is the highest point after several years of study in the field of business, history, or literature.

Your tentative thesis can be the basis of your career as a researcher. Hence, it should show the depth of your knowledge of the field. It is important to understand what a tentative thesis is and what steps are involved in writing a perfect thesis.

This article will guide you on what a tentative thesis is, its examples, and how to write one. If you are not sure about your writing or research skills or are short on time, acquire  thesis writing services online  and get help for your paper from a professional.

If you are sure about your skills and that your studies, health, and social life will not be compromised while writing this thesis, continue reading the guide to get good advice.

What Is a Tentative Thesis?

A tentative thesis is a lengthy paper that involves a person’s research paper written for a university degree, as Oxford Languages states. It is called a tentative thesis because the initial thesis statement is always unsure and may change upon further study. The idea of developing a tentative thesis statement is to make the process easy and start writing the thesis instead of getting stuck on the first step.

How to Write a Tentative Thesis?

Research is the best tool for gathering information that will help you understand the topic. It is the most important part of thesis writing, as it allows you to develop an in-depth understanding of the subject and be certain that you are well-informed.

1. Research the Topic Thoroughly

To solve problems or gain more knowledge, a systematic and planned study/investigation of a subject or topic is research. Research can help you gather the information that will help you understand the topic. Develop an in-depth understanding of the subject, and be certain that your decisions are well-informed.

The resources for your research have to be credible, peer-reviewed articles, government agencies, and professional organisations. The credibility of the sources can be checked by, implementing a CRAAP method. CRAAP represents

Here are the credible sources that will be helpful in your research process:

• Congress Library
• Google Scholar
• Google Books
• Commons Network
• Research gate

According to the topic, select a related research method, such as mixed methods, qualitative research, quantitative research, or questionnaire.

2. Construct a Detailed Plan/Structure for the Writing

Once you're done with the research, it's time to move to the planning and structuring part. While planning your dissertation, ensure that you fulfil the important requirements. Manage your time well and be mentally prepared for obstacles. It is also better to document the process, such as databases, search queries, and sources.

After planning your thesis, move to the structure of the thesis. The structure of your thesis generally remains the same and includes these sections: 

• Introduction
• Literature Review
• Research Methods
• Findings/Results
• Discussions
• Citation List

Planning and structuring your content well will give direction to your writing and make you more focused on the paper.

3. Formulate a Thesis Statement

A thesis statement is a line or two that conveys the central idea of the dissertation. The essential thing to start writing your thesis is a perfect thesis statement. A thesis statement has to focus on the main idea of the text. It's important to convey the central idea in a few sentences because the reader can understand easily and it remains on their mind.

As we know, writing a thesis statement can be a tiring task. You can make it super easy by dividing it into chunks.

• State the topic sentence to show the basic idea. "  The world war was fought over Hitler's invasion. "
• Use transition words to build a connection between the topic and details. " Adolf Hitler's invasion was the main cause of World War II. "
• Conclude with a statement that summarises the central ideas of a text. " Adolf Hitlers invasion was the major reason for World War II, Hitler was defeated by the world "

4. Decide and Write Body Text and Arguments

The body text helps you to prove your research question. If the topic is simple, you don’t need a lot of text, but if the topic is complex, you might need a lot of text. Plus, building the arguments logically is important. Examiners don’t like their concentration to be broken.

It has to be an argument, and its evidence must be presented perfectly so a reader doesn’t need to stop and read the text or reread it. The reader should read the text in a flow. It will turn out to be ugly if your marker has to stop and try to understand the argument if it’s logical and makes any sense. Keep the argument and evidence sustainable to ensure the flow of the thesis from introduction to conclusion.

5. Provide the References and Bibliography

Both the reference list and bibliography provide a list of sources cited in the text throughout. However, what bibliography includes are the sources or data you consulted during the project and decided not to cite.

To build the credibility of your academic writing, it’s important to provide a reference list or bibliography as required by the institute. It is required so the marker can easily check your reference and validate the information. There are different types of referencing styles available. Including

You need to collect all the information about the sources that will be used in referencing, like the author, publication date, book name, and publisher information. For journals, you need to include the journal title, volume, issue, and page number. Overall, different information from different types of sources is required.

6. Proofread and Submit Your Thesis

To ensure the technical accuracy of a text, you need to proofread the text for any technical or grammatical errors. After you have completed all of your content editing, you can move to the proofreading stage.

First, proofread the thesis for technical requirements, such as sections, structure, and word count allocated to the task. Then again, proofread the text for information provided, grammatical errors, and referencing.

It is important because you’re working on an academic writing task and these types of mistakes have no place in academic writing.

7. Prepare Oral Presentation

After you’ve completed and submitted your tentative thesis, it is time to start preparations for the oral defence presentation. This step is as important as researching the information or writing the thesis. Once the thesis is submitted, you should start preparing the defence presentation.

In your defence presentation, you can be asked questions outside the thesis, so it is a better idea to prepare yourself for that also. Identify the purpose and goals of the thesis, know your audience’s information, arrange the materials and compose the presentation. Preparing for the presentation is also a very tiring task if you don’t want to stress yourself so much, hand over your thesis to a  professional thesis writer ,  who can write a perfect paper in a short time.

The most important preparation for the thesis presentation is to practice your presentation with some class fellows or thesis advisors. After all, it's not all about the information; it's about how you present that information.

Tentative Thesis Example

We have provided an example of a tentative thesis from Kathmandu University for your reference. This can provide you with a better idea of what a great thesis seems like and how you can write one as well.

How Long Should a Tentative Thesis Be?

The word limit of the tentative thesis depends on the institute-provided word limit. It varies from institute to institute and course to course. The general word count for:

• Undergraduate thesis is typically 8,000-15,000 words.
• Master’s thesis is 12,000-50,000 words.
• PhD thesis is book-length, typically 70,000-100,000 words.

Why Is a Tentative Thesis Important?

To get the degree from your university, it's important to write a well-researched tentative thesis. These are the common benefits of writing a thesis.

• Adds information to the knowledge base.
• Increase discipline.
• It helps academics to make informed decisions.
• Through the thesis, information was recorded and can be held for the future.

To conclude the guide, a tentative thesis is not very different from a simple thesis. In a tentative thesis, you just need to keep the thesis statement a bit uncertain, which can be changed as the research and writing process goes on. We have also answered the common questions about thesis writing, like why it is important and what the length of your thesis should be. An example is provided for your ease. 

In this article, we have guided you through seven steps on how to write a tentative thesis. If you have any sort of difficulty writing your thesis, you can feel at ease, as you can get the  thesis writing help online  from an expert who can handle your thesis writing worries very well.

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How Long to Write a Thesis or Dissertation: Start to Defense

• by Judy Jeni
• January 26, 2024

A thesis is a very vital document that professors use to evaluate your level of understanding of a particular topic. Students should showcase their skills on their capability to construct facts logically. How long does it take to write a thesis, is there a time frame for such?

Writing a thesis is an excellent way to prove your critical thinking skills and successfully pass your message in the written form.

How Long does it Take to Write a Thesis?

The time limit for one to write a thesis depends on several variables. For instance, if you are writing a Ph.D. thesis paper, it may take you months or years to complete it. However, ensure that you adhere to the institution’s guidelines about the timeframe.

Mostly, it takes an average of 7 months to write a thesis from scratch to the defense stage. Our research of hundreds of students showed that it takes between 3 months and 7 months to complete a dissertation for most on-campus students and around 10 months for off-campus students.

However, this depends on the technicality of the topic and the depth of research done.

The most critical part of thesis writing is quality. You should ensure that you perform extensive research to meet the expectations of your professor.

The secret lies in working with your supervisor at every stage closely.

Suppose the institution gave you the page limit to indicate how far you can extend, then it also determines the duration you will take to complete your thesis.

The secret lies in sticking with the instructions as you handle that task.

Factors Determining the Time to Complete a Thesis

Your thesis could either take a long or short time, depending on different factors. More significantly, students should ensure that they perform thorough research to avoid shallow content that could land them in trouble.

Nevertheless, the following points will affect your speed of completion. Also, these factors come into play when determining the quality of your project.

It should be noted that the quality of the content determines if you will fail your dissertation or get a good grade. So, let us check them out.

1. The Depth of Research

When writing your thesis, the most crucial section is to have enough facts to support your arguments. How do you achieve that? Well, you have to dig deeper to get extra details that will keep your points well for the audience to digest them fully.

You can use different research methods to widen the topic. In a similar fashion, it may be time-consuming hence making your thesis writing take longer.

When you are researching an exciting topic, the chances are high that you are likely to gather more facts in your research. As you capture more details in your thesis, your paper will be long and take you more time.

While supporting your arguments, it is sensible to put more facts and evidence as possible to make your research authentic. Once given the challenge to substantiate some claims within your research, you should do so convincingly.

On the contrary, if you did shallow research, you will only capture a few details, making you short of completing your thesis.

As a rule of thumb, the longer the investigation, the longer the time to complete writing. If you have few facts to back up your arguments, it means your entire paper will take you less time to finish.

Some degrees do not require deep research while others need deeper primary study. For instance, a non-thesis master’s is worth it because it does not go deep into technical research compared to a thesis one.

2. Your Writing Skills

Your writing prowess is a crucial factor in determining the duration you will take to complete your paper. Some authors have excellent writing skills by knowing what to say to place their points creatively.

For instance, they can get the reader glued to the paper by painting an exciting situation where you want to know more about it. For that reason, the author may be tempted to use more words, hence extending the completion period.

Suppose the author has comprehensive experience in writing, it means it can still take a short duration to place the fact found in research in a short period.

On the other hand, if the author lacks a great writing experience, it implies struggle. This writer will be challenged to articulate the facts; hence, he needs more time to express himself.

3. Your Typing Speed

Different authors have varying typing speed skills. For example, a professional could type a hundred words per minute, while a poor could take even less than 20 words per minute.

When given similar tasks, the one who types more words per minute is likely to complete the job than the writer who has a slow speed.

If you know that your typing speed is poor, you can consider sharpening your skills through software that addresses that area.

The most common ones are typing master and so on. Also, your typing speed determines the length of your thesis because faster typers can extend their length compared to slower ones.

4. Graduation Time

When the clock is ticking, it creates some panic or anxiety in you. For example, completing the thesis on time gives you an edge if you want to graduate that particular year. You should dedicate yourself to speedy completion while putting quality first.

If you write a poor thesis, you will fail and eventually not graduate that year. Luckily, you can take your time and research your topic well before presenting it to the defense panel.

Working smart is critical. Let your supervisor guide you at every level before you develop a refined document that will make you pass and graduate within the agreed timeline.

5. Professor’s Instructions

Students should liaise with the professor to ensure that they act within the institution’s guidelines. For instance, if the instructions prompt you to write additional pages, then it means that you may take a more extended period to complete your thesis.

Also, your academic level may require you to write more pages than others. For example, if you are a Ph.D. student, you can handle more pages than a master’s student. For that reason, you will require additional time to come up with an unacceptable document.

Let the instructor advise you on the number of page limits you are expected to fulfill. One way to ensure that you stick to the page limit is to perform extensive research to gather more evidence and examples.

The more the page limit, the more it takes for you to complete your thesis.

6. The Deadline Given

When you are working under a short deadline, it means you have to put more effort into coming up with a convincing thesis. You have to increase the pace of your research and develop unique content within the given timeframe.

Suppose you believe the timeframe is too short, then outsource your work to an expert who can make things work for you efficiently. Let your writer give you a progress report so that you stick to the deadline.

On the other hand, you should take your time and research well if you have the luxury of time to handle long timeframes. Here, you have an ample allowance to get more facts to incorporate into your work and write compelling content.

7. Topic Type

The type of topic you will settle for will determine how far you go in your thesis writing. If you want to provide extra details, your topic will be broader; hence, you need more time to accomplish it.

If you are tackling a complex topic, begin by breaking it down into small sections or subtopics so that your points remain clear to your audience.

On the other hand, suppose you are writing an easy topic, it means you will be discussing simple items that do not require more profound research. In response, your work will take a shorter period.

8. Your Budget

If you want to get a decent essay, you are free to hire an expert to do so. What makes the cost high is the number of pages you want the expert to craft for you.

Some students may have enough money to pay for more pages to ensure the expert does a great job. This will also demand additional time for completion.

Also, if you lack enough funds, it means the writer will minimize the pages to suit your needs. Since you are working on fewer pages, then the period of writing will also be short.

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How Long Does It Take To Write a Dissertation?

If push comes to shove, can you learn how to finish a dissertation; writing a Ph.D. dissertation is exacting? The whole process calls for determination, dedication, and perseverance, especially when family and work obligations are on the side. A clear perception of “how long does it take to write a Ph.D. dissertation” helps you manage the time you have efficiently.

Dissertations Definition: When Do You Write a Dissertation?

Do you have to write a dissertation for ph.d., writing dissertation time frame: how long does it take to write a dissertation, how long does a thesis need to be, how many words is a ph.d thesis, what is the average time to complete a ph.d. and get a degree, writing your dissertation: how long should a thesis be, significant variables that affect “how long does a dissertation take”, what is the dissertation process timeline.

Knowing dissertation meaning is the first step toward writing a dissertation. A dissertation is that final paper you write to get a Ph.D. degree; it’s a culmination of a doctorate program. A Ph.D. dissertation is concise and richer than a master’s thesis or bachelor’s project.

A dissertation for a Ph.D. is not just a recommendation; you must write a dissertation to get the degree. You cannot be awarded the doctorate until you’ve fulfilled all the conditions for the degree, including writing a dissertation . Moreover, a dissertation paper is more than just a culmination of everything you’ve learned in the years spent to get the Ph.D. degree.

From experience, “how long to write a dissertation” often takes between thirteen and twenty months, depending on how fast you are. However, some people have taken less time than that, and some have taken more. Nevertheless, it generally holds that the average time for writing a dissertation is between thirteen to twenty months.

A Ph.D. thesis is the highest form of academic writing to get a degree, thus, the richest. When conducting doctoral research, you’re expected to search wide and deep for information. You’re expected to read books, articles, and the works of other authors, deriving your own hypothesis and writing basis. Thus, a Ph.D. thesis must be longer than the normal master’s thesis; it is usually three hundred pages long.

How long is a Ph.D. thesis vary from one research topic to another? However, a Ph.D. thesis is usually longer than a master’s or an undergraduate thesis, regardless of the topic or subject. Universities typically set the highest limit for Ph.D. thesis lengths between 70,000 and 100,000 words; most come in at around 80,000. Nevertheless, different universities have different policies regarding the word count for a Ph.D. thesis, so you can find out yours.

“How long does it take to do a Ph.D.” depends on your program, course, and university. However, a Ph.D. degree requires anywhere from 60 to 120 semester credit hours; that’s about eight years. For some, a doctorate will take four to six years, depending on the program design, subject area, and institution.

A master’s thesis is much shorter and less compounded than a Ph.D. dissertation; it rarely exceeds two semesters. The average length of a master’s thesis is forty to eighty pages, excluding the bibliography. However, as with the dissertation, the thesis length also depends on the topic and method of analysis. You and your committee will ultimately be the ones to choose the appropriate length for your thesis.

Even if you plan to complete your dissertation in three months, the choice is not entirely up to you. Regardless of how fast you are, several variables still affect your dissertation writing time, including:

• Timing : Schools often have response times for committee members’ document review, which can take up to a month. Each committee member gets up to two weeks, and you need to consider these delays as well.
• You : You’re the biggest determinant of “how long does it take for a Ph.D.” and how long to write a dissertation. Your dedication, time, interests, requirements, and other factors can speed you up or slow you down.
• Comments : After the committee’s review, you still need to address the comments; you’ll likely send your work back several times before submitting it. The solution is to ensure you address the committee’s comments fully; you’ll avoid having to wait unnecessarily for feedback.

The “dissertation how long” writing process has a timeline, from choosing a topic, writing the dissertation, reviewing, and submitting it. The stages involved in dissertation writing include:

• Prospectus : This is the hardest step to judge, and it lays the groundwork for the rest of your dissertation. This dissertation-writing stage normally takes three to six months, and not all this time is for writing; much of it is for refining your topic and approach.
• Proposal : The proposal has three chapters; chapter 1 is like an extension of the Prospectus – you’ll be developing your ideas more specifically. Chapter two requires digging deep into the literature, while chapter three is where you explain your methodology in-depth. ”How long should a dissertation proposal be” should be about three to four months, depending on how fast you research and write.
• Approval : Most schools require that you fill and submit an IRB form; approval may take up to two months.
• Data Collection : This depends on whether you’re collecting primary or secondary data; the latter takes a longer time – typically four months.
• Chapters 4 & 5 : You can write these in two months; they’re the easiest, where chapter four reports your result and five discusses it.
• Defense : Defense is the last stage for dissertation writing; this may take one to two months.

Dissertation writing time depends on a variety of variables, as we’ve shown you. If you want to finish faster, you can devise means how to write a dissertation and finish your program fast. Some doctorate program designs include embedded dissertations and a community of support to help Ph.D. students earn their degree in as short three years.

If you have a short timeline to complete your dissertation and you want to get the best, then you can hire our writing service. We have skilled writers who can help you get your dissertation done in the fastest possible time without compromising on quality.

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How To Prepare For The LSAT: Resources And Common Questions

Updated: Apr 17, 2024, 8:06am

Law schools are known for their demanding admissions requirements. To apply to law school, aspiring law students typically write a law school personal statement , polish their résumés and send test scores to demonstrate their readiness to succeed in a rigorous curriculum.

The only standardized test accepted by every American Bar Association accredited law school is the Law School Admission Test (LSAT)®. The LSAT tests your reasoning, reading comprehension and writing skills as they apply to concepts covered in law school. Law schools use the LSAT to determine whether applicants are well-suited for a J.D. degree program. While the test is not a legal aptitude test, law schools rely upon it because of its ability to predict academic performance in the first year of law school.

Find out what to expect from the LSAT in this guide, which explores the test’s subject areas, its structure and how to prepare for the LSAT.

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What Is The LSAT?

The LSAT—offered by the Law School Admission Council (LSAC)®—is a standardized test for prospective law school students. The test examines your skills in reading, writing and reasoning, measuring your potential success in a law program. The LSAT features multiple-choice questions and a writing portion.

LSAT Questions

The multiple-choice section tests your critical thinking and reading comprehension skills through four 35-minute blocks of questions. The questions cover the following topics:

• Reading comprehension. This section includes reading material typically found in law school. The questions gauge your ability to dissect information, draw conclusions and understand key points. The LSAT includes four reading passages, each with a series of follow-up questions.
• Analytical reasoning. This section presents scenarios featuring facts, rules and relationships. You’ll answer questions using problem-solving skills to assemble the puzzle of each scenario while adhering to relevant rules or limitations. Starting in August 2024, this section will be eliminated, and instead the exam will include two sections dedicated to logical reasoning.
• Logical reasoning. The LSAT’s logical reasoning portion includes source-based passages, each with up to two follow-up questions. The questions cover analogies, argument flaws and logical reasoning patterns.

The test also includes one unscored question section covering one of the above topic areas. LSAC uses these questions for quality assurance to strengthen the accuracy of future tests.

LSAT Writing®

LSAT Writing consists of a scenario prompt with two positions the writer can take. This section requires you to choose a side of an argument and use your reasoning and logic skills to support your choice in a persuasive essay. You complete this section separately from the rest of the LSAT, and you have 35 minutes to do so. LSAT Writing is monitored through live proctoring software, allowing test takers to complete it from their own homes, a development that came about, initially, in response to the Covid-19 pandemic.

LSAT Scoring

The LSAT counts each question you get right rather than subtracting questions you get wrong from a cumulative score. (In other words, there is no penalty for guessing.) LSAC does not score LSAT Writing samples.

The LSAT scoring scale ranges from 120 to 180. The final score report includes your score, your percentile rank compared to other test takers and a score band that highlights your proficiency in each area of the exam. LSAC sends your LSAT score report and writing sample to your law schools of choice.

Common Questions About the LSAT

How long does the lsat take.

The LSAT takes about three hours to finish, including all five sections and a break. You can take the 35-minute writing portion up to eight days before the day you take the multiple-choice portion of the LSAT.

The LSAT includes two 35-minute sections of multiple-choice questions, followed by a 10-minute break. The test then continues with its final two 35-minute multiple-choice sections.

You can request additional breaks between each section if you qualify for accommodations.

How Many Times Can You Take the LSAT?

You can take the LSAT up to seven times. However, you are limited to five tests per five-year reportable scoring period. These rules only apply to tests taken from September 2019 to the present. Therefore, any LSATs you took before that time don’t count toward your limit.

You can’t retake the LSAT if you receive a perfect score in the current or past five testing years.

Is the LSAT Required for Law School?

The LSAT isn’t required for all law schools. Some schools also accept the Graduate Record Examinations (GRE)® or the Graduate Management Admission Test (GMAT)™. Law schools that accept the GRE or GMAT also accept LSAT scores.

What Can You Expect on LSAT Test Day?

The LSAT is administered online with a remote proctor and in person at professional testing centers. You get a 10-minute break halfway through the test. You can leave the room during your break, but you may not use electronic devices and you must check in with your proctor before beginning the second half of the LSAT.

LSAC allows you to have earplugs, tissues, water in a transparent container and medication on your desk if needed. The test no longer allows scratch paper except as an approved accommodation, but the LSAT Writing interface includes a digital scratch paper section.

You can take the written portion before or after completing the standard LSAT. The LSAT Writing takes place online with a live proctor only.

What Is a Good LSAT Score?

LSAT scores range from 120 to 180, and the median LSAT score is about 152. However, each law school determines its minimum LSAT score for applicants, with more competitive schools preferring scores of 160 or higher.

Common Questions About LSAT Writing

Is lsat writing required for law school.

LSAT Writing is not required for law schools that do not require the LSAT for admission; you may instead take the GRE for these schools. However, if your school does require the LSAT, you’ll need to complete LSAT Writing. Your school will not consider your LSAT complete if it doesn’t include LSAT Writing.

Is LSAT Writing Scored?

No, LSAT Writing isn’t scored. LSAC sends your writing sample to the law schools to which you apply. Those schools evaluate your writing sample based on their own requirements.

Do Law Schools Actually Read Your Writing Sample?

Law schools that require LSAT scores read each applicant’s writing sample. A school can weigh the importance of LSAT Writing samples however they’d like when determining whether an applicant qualifies for admission.

Does LSAT Writing Have a Minimum or Maximum Word Count?

LSAT Writing does not set a minimum or maximum word count. Instead, test takers should focus on writing a well-planned, organized and thorough essay during the 35-minute testing portion.

Common Questions About LSAT Prep

When should you start preparing for the lsat.

Anyone preparing for the LSAT should study relevant content for at least several weeks. If you have a lot of time to study, you might feel ready after just one or two months of preparation. However, some test takers might need three months or more to feel better equipped for the LSAT.

What’s the Best LSAT Prep Strategy?

Preparing for the LSAT is an intensive process and systems like memorization that might aid in a college exam do not help when taking the LSAT. As a result, preparing for the LSAT is a process that normally requires months of study, rather than weeks. For example, a preparation cycle of three to six months is very common.

A good starting point is to simply take a full practice test, often called ‘a diagnostic’ so that you can establish a baseline score. In addition to working through a formalized curriculum it is important to remember that taking practice tests after completing that curriculum will form the backbone of your preparation and will also help you objectively assess your readiness to take the test formally.

Are There Free LSAT Prep Resources?

Yes, there are several free LSAT prep resources, including official LSAC LawHub practice tests. Khan Academy also provides a free online LSAT prep course. However, given the correlation between your LSAT score and the cost of attending law school, test takers are strongly encouraged to invest in their test preparation, although spending thousands of dollars is rarely necessary.

LSAT Prep Resources to Consider

Studying for the LSAT and practicing under test conditions should acclimate you to the test and the conditions you will encounter on test day, the idea being that it will help you counter test anxiety and properly understand this very difficult exam. Below are some of the most popular resources for LSAT preparation.

LSAC’s LawHub is free for test takers who want extra practice before taking the exam. The plan includes exam-like testing modules and four official practice tests with instant scoring to determine critical study areas. However, it is important to remember that the level of instruction is going to be very different from that experienced in commercial test preparation offerings.

LawHub Advantage

LawHub Advantage is a paid version of the LawHub free study program, priced at $115 annually. It includes about 60 practice exams, educational resources and a status tracker for law school applications. This is an excellent resource for someone who has learned how to understand the test and needs to practice the test under increasing amounts of time pressure, and under test conditions.

LSAT eBooks and Prep Books

LSAC provides several official eBooks and test prep books for purchase on Amazon and other online retailers. One of its most comprehensive books, “The New Official LSAT TriplePrep Volume 1™,” includes three recent practice tests with answer keys, a scoring conversion table and three LSAT Writing prompts.

Other books include a single or bundle of practice tests. Each book generally costs between $10 and $25, with lower-priced e-book versions available. However, experts note that learning the test through the use of a book alone can lead to learning bad habits that can cause plateaus and which can be difficult to break.

Khan Academy Official LSAT Prep

The Khan Academy Official LSAT Prep program is a free study resource that identifies which exam areas you may need to develop. It then uses that information to create a custom plan with lessons and skills practice. Khan Academy is an excellent starting place, but with law school tuition costing hundreds of thousands of dollars, even at average schools, investing in quality LSAT preparation is strongly encouraged.

The Cost of LSAT Prep

The cost of LSAT preparation programs varies widely and depends on the experience of the tutor, whether the content is provided in person (more costly) or online and the level of student to tutor interaction. For instance, some providers offer subscription fees under $100 but with minimal interaction. Others range from anywhere between $1,000- $5,500 but spending such a large sum is rarely necessary. Test takers will also be encouraged to note that many providers allow waivers for those with an LSAT approved fee waiver.

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As a self-proclaimed lifelong learner and former educator, Amy Boyington is passionate about researching and advocating for learners of all ages. For over a decade, Amy has specialized in writing parenting and higher education content that simplifies the process of comparing schools, programs and tuition rates for prospective students and their families. Her work has been featured on several online publications, including Online MBA, Reader’s Digest and BestColleges.

Presidential debate poll: Who will win the debate? Share your thoughts

U.S. President  Joe Biden  and former President  Donald Trump  will face off on Thursday night in the  CNN Presidential Debate , the first of the 2024 election cycle and more than four months before the November election.

Who will win the presidential debate?

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Guest Essay

Something’s Rotten About the Justices Taking So Long on Trump’s Immunity Case

By Leah Litman

Ms. Litman is a professor at the University of Michigan Law School, a host of the “Strict Scrutiny” podcast and a former clerk to the Supreme Court justice Anthony Kennedy.

For those looking for the hidden hand of politics in what the Supreme Court does, there’s plenty of reason for suspicion on Donald Trump’s as-yet-undecided immunity case given its urgency. There are, of course, explanations that have nothing to do with politics for why a ruling still hasn’t been issued. But the reasons to think something is rotten at the court are impossible to ignore.

On Feb. 28, the justices agreed to hear Mr. Trump’s claim that he is immune from prosecution on charges that he plotted to subvert the 2020 election. The court scheduled oral arguments in the case for the end of April. That eight-week interval is much quicker than the ordinary Supreme Court briefing process, which usually extends for at least 10 weeks . But it’s considerably more drawn out than the schedule the court established earlier this year on a challenge from Colorado after that state took Mr. Trump off its presidential primary ballot. The court agreed to hear arguments on the case a mere month after accepting it and issued its decision less than a month after the argument. Mr. Trump prevailed, 9-0.

Nearly two months have passed since the justices heard lawyers for the former president and for the special counsel’s office argue the immunity case. The court is dominated by conservatives nominated by Republican presidents. Every passing day further delays a potential trial on charges related to Mr. Trump’s efforts to remain in office after losing the 2020 election and his role in the events that led to the storming of the Capitol; indeed, at this point, even if the court rules that Mr. Trump has limited or no immunity, it is unlikely a verdict will be delivered before the election.

The immunity case is not the only big case hanging fire. Some two dozen remain undecided that were argued even before the April 25 oral argument over Mr. Trump’s immunity. A case on gun rights for domestic abusers under a restraining order was argued in November; cases involving the power of federal agencies and a multibillion-dollar settlement for opioid victims were heard in December and January; the court also has yet to decide whether upwind states must cut emissions that affect the air quality in downwind states. That case was argued in February.

The court is a busy place, though the justices are completing decisions at the second slowest rate since the 1946 term, according to a recent article in The Wall Street Journal. The court tries to wrap up its business for the term that began in October by the end of June. It’s not shocking that cases argued later in the term end up being decided later, especially because by the end of April, when the immunity case was heard, the court was still working to finish cases argued months earlier. April was also among the court’s busiest months: The justices heard 10 cases.

But these seemingly mundane, process explanations overlook some of the particulars in the immunity case. Mr. Trump’s lawyers put together a set of arguments that are so outlandish they shouldn’t take much time to dispatch. Among them is the upside-down claim that, because the Constitution specifies that an officer who is convicted in an impeachment proceeding may subsequently face a criminal trial, the Constitution actually requires an impeachment conviction before there is any criminal punishment.

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