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How to Write a Research Design – Guide with Examples

Published by Alaxendra Bets at August 14th, 2021 , Revised On June 24, 2024

A research design is a structure that combines different components of research. It involves the use of different data collection and data analysis techniques logically to answer the  research questions .

It would be best to make some decisions about addressing the research questions adequately before starting the research process, which is achieved with the help of the research design.

Below are the key aspects of the decision-making process:

• Data type required for research
• Research resources
• Participants required for research
• Hypothesis based upon research question(s)
• Data analysis  methodologies
• Variables (Independent, dependent, and confounding)
• The location and timescale for conducting the data
• The time period required for research

The research design provides the strategy of investigation for your project. Furthermore, it defines the parameters and criteria to compile the data to evaluate results and conclude.

Your project’s validity depends on the data collection and  interpretation techniques.  A strong research design reflects a strong  dissertation , scientific paper, or research proposal .

Step 1: Establish Priorities for Research Design

Before conducting any research study, you must address an important question: “how to create a research design.”

The research design depends on the researcher’s priorities and choices because every research has different priorities. For a complex research study involving multiple methods, you may choose to have more than one research design.

Multimethodology or multimethod research includes using more than one data collection method or research in a research study or set of related studies.

If one research design is weak in one area, then another research design can cover that weakness. For instance, a  dissertation analyzing different situations or cases will have more than one research design.

For example:

• Experimental research involves experimental investigation and laboratory experience, but it does not accurately investigate the real world.
• Quantitative research is good for the  statistical part of the project, but it may not provide an in-depth understanding of the  topic .
• Also, correlational research will not provide experimental results because it is a technique that assesses the statistical relationship between two variables.

While scientific considerations are a fundamental aspect of the research design, It is equally important that the researcher think practically before deciding on its structure. Here are some questions that you should think of;

• Do you have enough time to gather data and complete the write-up?
• Will you be able to collect the necessary data by interviewing a specific person or visiting a specific location?
• Do you have in-depth knowledge about the  different statistical analysis and data collection techniques to address the research questions  or test the  hypothesis ?

If you think that the chosen research design cannot answer the research questions properly, you can refine your research questions to gain better insight.

Step 2: Data Type you Need for Research

Decide on the type of data you need for your research. The type of data you need to collect depends on your research questions or research hypothesis. Two types of research data can be used to answer the research questions:

Primary Data Vs. Secondary Data

Qualitative Vs. Quantitative Data

Also, see; Research methods, design, and analysis .

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Step 3: Data Collection Techniques

Once you have selected the type of research to answer your research question, you need to decide where and how to collect the data.

It is time to determine your research method to address the  research problem . Research methods involve procedures, techniques, materials, and tools used for the study.

For instance, a dissertation research design includes the different resources and data collection techniques and helps establish your  dissertation’s structure .

The following table shows the characteristics of the most popularly employed research methods.

Research Methods

Step 4: Procedure of Data Analysis

Use of the  correct data and statistical analysis technique is necessary for the validity of your research. Therefore, you need to be certain about the data type that would best address the research problem. Choosing an appropriate analysis method is the final step for the research design. It can be split into two main categories;

Quantitative Data Analysis

The quantitative data analysis technique involves analyzing the numerical data with the help of different applications such as; SPSS, STATA, Excel, origin lab, etc.

This data analysis strategy tests different variables such as spectrum, frequencies, averages, and more. The research question and the hypothesis must be established to identify the variables for testing.

Qualitative Data Analysis

Qualitative data analysis of figures, themes, and words allows for flexibility and the researcher’s subjective opinions. This means that the researcher’s primary focus will be interpreting patterns, tendencies, and accounts and understanding the implications and social framework.

You should be clear about your research objectives before starting to analyze the data. For example, you should ask yourself whether you need to explain respondents’ experiences and insights or do you also need to evaluate their responses with reference to a certain social framework.

Step 5: Write your Research Proposal

The research design is an important component of a research proposal because it plans the project’s execution. You can share it with the supervisor, who would evaluate the feasibility and capacity of the results  and  conclusion .

Read our guidelines to write a research proposal  if you have already formulated your research design. The research proposal is written in the future tense because you are writing your proposal before conducting research.

The  research methodology  or research design, on the other hand, is generally written in the past tense.

How to Write a Research Design – Conclusion

A research design is the plan, structure, strategy of investigation conceived to answer the research question and test the hypothesis. The dissertation research design can be classified based on the type of data and the type of analysis.

Above mentioned five steps are the answer to how to write a research design. So, follow these steps to  formulate the perfect research design for your dissertation .

ResearchProspect writers have years of experience creating research designs that align with the dissertation’s aim and objectives. If you are struggling with your dissertation methodology chapter, you might want to look at our dissertation part-writing service.

Our dissertation writers can also help you with the full dissertation paper . No matter how urgent or complex your need may be, ResearchProspect can help. We also offer PhD level research paper writing services.

Frequently Asked Questions

What is research design.

Research design is a systematic plan that guides the research process, outlining the methodology and procedures for collecting and analysing data. It determines the structure of the study, ensuring the research question is answered effectively, reliably, and validly. It serves as the blueprint for the entire research project.

How to write a research design?

To write a research design, define your research question, identify the research method (qualitative, quantitative, or mixed), choose data collection techniques (e.g., surveys, interviews), determine the sample size and sampling method, outline data analysis procedures, and highlight potential limitations and ethical considerations for the study.

How to write the design section of a research paper?

In the design section of a research paper, describe the research methodology chosen and justify its selection. Outline the data collection methods, participants or samples, instruments used, and procedures followed. Detail any experimental controls, if applicable. Ensure clarity and precision to enable replication of the study by other researchers.

How to write a research design in methodology?

To write a research design in methodology, clearly outline the research strategy (e.g., experimental, survey, case study). Describe the sampling technique, participants, and data collection methods. Detail the procedures for data collection and analysis. Justify choices by linking them to research objectives, addressing reliability and validity.

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Research Design | Step-by-Step Guide with Examples

Published on 5 May 2022 by Shona McCombes . Revised on 20 March 2023.

A research design is a strategy for answering your research question  using empirical data. Creating a research design means making decisions about:

• Your overall aims and approach
• The type of research design you’ll use
• Your sampling methods or criteria for selecting subjects
• Your data collection methods
• The procedures you’ll follow to collect data
• Your data analysis methods

A well-planned research design helps ensure that your methods match your research aims and that you use the right kind of analysis for your data.

Table of contents

Step 1: consider your aims and approach, step 2: choose a type of research design, step 3: identify your population and sampling method, step 4: choose your data collection methods, step 5: plan your data collection procedures, step 6: decide on your data analysis strategies, frequently asked questions.

• Introduction

Before you can start designing your research, you should already have a clear idea of the research question you want to investigate.

There are many different ways you could go about answering this question. Your research design choices should be driven by your aims and priorities – start by thinking carefully about what you want to achieve.

The first choice you need to make is whether you’ll take a qualitative or quantitative approach.

Qualitative research designs tend to be more flexible and inductive , allowing you to adjust your approach based on what you find throughout the research process.

Quantitative research designs tend to be more fixed and deductive , with variables and hypotheses clearly defined in advance of data collection.

It’s also possible to use a mixed methods design that integrates aspects of both approaches. By combining qualitative and quantitative insights, you can gain a more complete picture of the problem you’re studying and strengthen the credibility of your conclusions.

Practical and ethical considerations when designing research

As well as scientific considerations, you need to think practically when designing your research. If your research involves people or animals, you also need to consider research ethics .

• How much time do you have to collect data and write up the research?
• Will you be able to gain access to the data you need (e.g., by travelling to a specific location or contacting specific people)?
• Do you have the necessary research skills (e.g., statistical analysis or interview techniques)?
• Will you need ethical approval ?

At each stage of the research design process, make sure that your choices are practically feasible.

Prevent plagiarism, run a free check.

Within both qualitative and quantitative approaches, there are several types of research design to choose from. Each type provides a framework for the overall shape of your research.

Types of quantitative research designs

Quantitative designs can be split into four main types. Experimental and   quasi-experimental designs allow you to test cause-and-effect relationships, while descriptive and correlational designs allow you to measure variables and describe relationships between them.

With descriptive and correlational designs, you can get a clear picture of characteristics, trends, and relationships as they exist in the real world. However, you can’t draw conclusions about cause and effect (because correlation doesn’t imply causation ).

Experiments are the strongest way to test cause-and-effect relationships without the risk of other variables influencing the results. However, their controlled conditions may not always reflect how things work in the real world. They’re often also more difficult and expensive to implement.

Types of qualitative research designs

Qualitative designs are less strictly defined. This approach is about gaining a rich, detailed understanding of a specific context or phenomenon, and you can often be more creative and flexible in designing your research.

The table below shows some common types of qualitative design. They often have similar approaches in terms of data collection, but focus on different aspects when analysing the data.

Your research design should clearly define who or what your research will focus on, and how you’ll go about choosing your participants or subjects.

In research, a population is the entire group that you want to draw conclusions about, while a sample is the smaller group of individuals you’ll actually collect data from.

Defining the population

A population can be made up of anything you want to study – plants, animals, organisations, texts, countries, etc. In the social sciences, it most often refers to a group of people.

For example, will you focus on people from a specific demographic, region, or background? Are you interested in people with a certain job or medical condition, or users of a particular product?

The more precisely you define your population, the easier it will be to gather a representative sample.

Sampling methods

Even with a narrowly defined population, it’s rarely possible to collect data from every individual. Instead, you’ll collect data from a sample.

To select a sample, there are two main approaches: probability sampling and non-probability sampling . The sampling method you use affects how confidently you can generalise your results to the population as a whole.

Probability sampling is the most statistically valid option, but it’s often difficult to achieve unless you’re dealing with a very small and accessible population.

For practical reasons, many studies use non-probability sampling, but it’s important to be aware of the limitations and carefully consider potential biases. You should always make an effort to gather a sample that’s as representative as possible of the population.

Case selection in qualitative research

In some types of qualitative designs, sampling may not be relevant.

For example, in an ethnography or a case study, your aim is to deeply understand a specific context, not to generalise to a population. Instead of sampling, you may simply aim to collect as much data as possible about the context you are studying.

In these types of design, you still have to carefully consider your choice of case or community. You should have a clear rationale for why this particular case is suitable for answering your research question.

For example, you might choose a case study that reveals an unusual or neglected aspect of your research problem, or you might choose several very similar or very different cases in order to compare them.

Data collection methods are ways of directly measuring variables and gathering information. They allow you to gain first-hand knowledge and original insights into your research problem.

You can choose just one data collection method, or use several methods in the same study.

Survey methods

Surveys allow you to collect data about opinions, behaviours, experiences, and characteristics by asking people directly. There are two main survey methods to choose from: questionnaires and interviews.

Observation methods

Observations allow you to collect data unobtrusively, observing characteristics, behaviours, or social interactions without relying on self-reporting.

Observations may be conducted in real time, taking notes as you observe, or you might make audiovisual recordings for later analysis. They can be qualitative or quantitative.

Other methods of data collection

There are many other ways you might collect data depending on your field and topic.

If you’re not sure which methods will work best for your research design, try reading some papers in your field to see what data collection methods they used.

Secondary data

If you don’t have the time or resources to collect data from the population you’re interested in, you can also choose to use secondary data that other researchers already collected – for example, datasets from government surveys or previous studies on your topic.

With this raw data, you can do your own analysis to answer new research questions that weren’t addressed by the original study.

Using secondary data can expand the scope of your research, as you may be able to access much larger and more varied samples than you could collect yourself.

However, it also means you don’t have any control over which variables to measure or how to measure them, so the conclusions you can draw may be limited.

As well as deciding on your methods, you need to plan exactly how you’ll use these methods to collect data that’s consistent, accurate, and unbiased.

Planning systematic procedures is especially important in quantitative research, where you need to precisely define your variables and ensure your measurements are reliable and valid.

Operationalisation

Some variables, like height or age, are easily measured. But often you’ll be dealing with more abstract concepts, like satisfaction, anxiety, or competence. Operationalisation means turning these fuzzy ideas into measurable indicators.

If you’re using observations , which events or actions will you count?

If you’re using surveys , which questions will you ask and what range of responses will be offered?

You may also choose to use or adapt existing materials designed to measure the concept you’re interested in – for example, questionnaires or inventories whose reliability and validity has already been established.

Reliability and validity

Reliability means your results can be consistently reproduced , while validity means that you’re actually measuring the concept you’re interested in.

For valid and reliable results, your measurement materials should be thoroughly researched and carefully designed. Plan your procedures to make sure you carry out the same steps in the same way for each participant.

If you’re developing a new questionnaire or other instrument to measure a specific concept, running a pilot study allows you to check its validity and reliability in advance.

Sampling procedures

As well as choosing an appropriate sampling method, you need a concrete plan for how you’ll actually contact and recruit your selected sample.

That means making decisions about things like:

• How many participants do you need for an adequate sample size?
• What inclusion and exclusion criteria will you use to identify eligible participants?
• How will you contact your sample – by mail, online, by phone, or in person?

If you’re using a probability sampling method, it’s important that everyone who is randomly selected actually participates in the study. How will you ensure a high response rate?

If you’re using a non-probability method, how will you avoid bias and ensure a representative sample?

Data management

It’s also important to create a data management plan for organising and storing your data.

Will you need to transcribe interviews or perform data entry for observations? You should anonymise and safeguard any sensitive data, and make sure it’s backed up regularly.

Keeping your data well organised will save time when it comes to analysing them. It can also help other researchers validate and add to your findings.

On their own, raw data can’t answer your research question. The last step of designing your research is planning how you’ll analyse the data.

Quantitative data analysis

In quantitative research, you’ll most likely use some form of statistical analysis . With statistics, you can summarise your sample data, make estimates, and test hypotheses.

Using descriptive statistics , you can summarise your sample data in terms of:

• The distribution of the data (e.g., the frequency of each score on a test)
• The central tendency of the data (e.g., the mean to describe the average score)
• The variability of the data (e.g., the standard deviation to describe how spread out the scores are)

The specific calculations you can do depend on the level of measurement of your variables.

Using inferential statistics , you can:

• Make estimates about the population based on your sample data.
• Test hypotheses about a relationship between variables.

Regression and correlation tests look for associations between two or more variables, while comparison tests (such as t tests and ANOVAs ) look for differences in the outcomes of different groups.

Your choice of statistical test depends on various aspects of your research design, including the types of variables you’re dealing with and the distribution of your data.

Qualitative data analysis

In qualitative research, your data will usually be very dense with information and ideas. Instead of summing it up in numbers, you’ll need to comb through the data in detail, interpret its meanings, identify patterns, and extract the parts that are most relevant to your research question.

Two of the most common approaches to doing this are thematic analysis and discourse analysis .

There are many other ways of analysing qualitative data depending on the aims of your research. To get a sense of potential approaches, try reading some qualitative research papers in your field.

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.

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.

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.

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How To Write A Research Design Like A Pro

The overall strategy that a researcher chooses to address all the different parts of their study in a logical and clear manner is known as a research design.

So, what is research design in research paper? A research design is a general plan explaining what one looks to do so as to answer the research question. Generally, it is a detailed outline of how research or an investigation will take place including; how data will be collected, which tools will be employed and how they will be used, and the ways through with the data will be analyzed.

It lays out the method you use to collect, measure, and analyze information. It states that you do this logically and coherently to ensure that you thoroughly address the research problem with which you are dealing. There are numerous types of research design including:

Action Study Research Design Case Study Research Design Casual Research Design Cohort Research Design Cross-Sectional Research Design Correlational Research Design Descriptive Research Design Experimental Research Design Exploratory Research Design Historical Research Design Longitudinal Research Design Observational Research Design Philosophical Research Design Qualitative Research Design Quantitative Research Design Sequential Research Design

The research paper design you choose depends on the research problem. You should analyze the problem carefully and consider it from numerous perspectives. You may consider using a mixed methods research design which is a combination of any two designs listed above. But you must choose a type of research design that is strong and will make your project progress smoothly.

Example Of A Nursing Research Design

To assess the links between professional satisfaction, job satisfaction, and contributing factors using a quantitative approach, an appropriate method is to gain use questionnaires or surveys that provide numerical data from the sample. To achieve an appropriate sample, a sampling plan should be developed. In this case, the population of concern will be identified. This will be nursing staff members, possibly across a wide range of departments to gain a better insight into the links overall. A stratified sampling method would be appropriate here to ensure that the sample is made up of sub-populations that are in line with the sub-populations of the total: the strata should include gender, number of years in nursing, department, and any other factors that could be confounding variables. This will ensure that the sample is representative of the population of interest. In a population of 1000 nurses, a confidence interval of five, and a confidence level of 99%, the sample size needed is 400. Inclusion criteria will include: nursing staff working at the hospital, ability to speak the language that the survey is administered in, and those that have given informed consent. Exclusion criteria will be visiting nursing staff, staff who are not nurses, and those that do not hold relevant nursing criteria.

Sampling Plan: Qualitative

A more appropriate methodology for qualitative approaches is to use interviews or focus groups. This means that the sample size can be much smaller, often as low as ten. In this case, the sampling plan will have the same population of concern, but a different approach to sampling can be used. It may be more appropriate to use quota, self-selection sampling here, as nursing staff need to be willing to give up some time to respond. This has drawbacks, including self-selection bias, but it would be unethical to force nursing staff to participate in the project, especially considering interviews can take one hour or more. The inclusion and exclusion criteria are as above.

How to Write a Research Design Proposal

For most research problems, you will have to make some tradeoffs. One design can be strong in some areas and weak in other areas. This is the reason many students choose to select more than one design to gather all the information accurately and effectively they need to address the problem. This is one of the first things you should know about how to write research design and methods section.

• Consider Your Practicalities and Priorities

What do we mean when we say you need to think about practicalities and priorities? Another thing to know about how to write design and methodology of the research is asking several questions before settling on one or two methodologies. You will not have the time or resources to conduct tests using several research designs, so you need to write down and answer precisely what your priorities are and the practical nature of your study.

A good place to start is at the library where you have access to other academic studies in your field. You can find similar studies and look at published samples that have been approved by experts in the field. You can also get a sense of the number of resources you have available. Pre-planning is a great way of making sure your project stays on track.

• Determine the Kind of Information You Need

The next to know about how to write a qualitative research design is figuring out the kind of information or data you need to answer the research problem. There are two places where you get this: through primary and secondary data. In your research study, you get original data through experiments, interviews, and surveys. This is information you analyze and incorporate into your research finding.

Your study will also incorporate information gathered by someone else in previous studies. This type of data is available in libraries and online databases where you can look at national statistics, official records, and publications from academic and government sources.

• Identify How You Are Going to Collect Information

Once you know the kind of information you need to gather (qualitative and quantitative) you need to decide where, when, and how you will gather it. How to write a research design requires you to describe your research methods. This means putting in detail the materials, procedures, tools, and techniques you will use and apply. You also need to point out the criteria you will use to choose your participants and sources. (For example, how many participants will you need to fill out services to get a good method to sample).

• Decide How You Are Going to Analyze the Information

Another thing you need to know about how to write a research design relates to the way you are going to analyze the information you collect. The process of analysis is the last step you need to develop your research design. Numerous computer applications will sort through information and retrieve what you need to answer the research problem (For example, Access and Excel). Identify the ones you will use and state this in the research design.

• Draft Your Research Design as You Would Other Sections

Now you can start writing the first draft. You should approach this like you would other academic assignments. Use a draft that lists all the sub-sections you need to address in the research design. Be clear and concise. The research design should not include your opinions. It must show the reader an exact description of the way you conducted your study.

• Revise Your Research Design After Some Time Away

Hindsight is one of the best things that can come from separating yourself from your assignment for a few days. We recommend students remove themselves completely from their work to get a mental break. The distance will help them rethink their writing and make changes that improve the overall quality of an assignment.

The trick is to do stay away a few days instead of just a few hours. The time away from any piece of writing will allow for more self-evaluation that is objective. Many students will find ways to remove, add, or rearrange words, phrases, sentences, and paragraphs that make their assignments stronger.

• Edit and Proofread Your Research Design for Perfection

These two activities are not interchangeable. Editing focuses on deep issues like correcting sentence constructions and word choices. A thorough editing session will improve things like clarity, readability, and tone. Proofreading focuses on details like grammar, punctuation, and misspellings. It will also look at page numbering, formatting, alignment, and visual elements.

Both activities are important stages of the writing process. A great editor will begin his or her work during the revising process. A great proofread will also begin his or her work during the editing process. While they may overlap you should always treat them as two separate tasks and designate enough time to do each without distraction.

• Have a Colleague Review Your Work for Feedback

Having a colleague or peer review your work is an important step to the academic writing process. A person or a group of people that understands your field and the high standard of researching and writing that comes with putting together a great research paper can valuable toward your success at the collegiate and graduate levels. Even if you can only show your work to one person for a few hours, his or her feedback can help you make changes to improve the overall quality of your research design.

Here are some questions you should consider before asking someone to review your work:

Do they understand the research subject and/or topic? Do they know the professor or panel that will grade your work? Have they submitted research studies in the past? Do they have great to excellent grades when it comes to research? Are they committed to providing you constructive criticism and feedback?

What to Do If You Can’t Do the Research Design

You may not have enough time to create this section, especially when you have a short deadline. On these occasions, it is a good idea to find a template for a research design paper. You can find templates online or can refer to published research papers in academic journals. The formats are standard so as long as you apply your words to a template that matches your design approach.

If you need more information or assistance learning about how to write a research design section, our customer support team can point you to more resources or put you in contact with one of our academic writing and editing experts. Each expert has earned either a bachelor’s or master’s degree and specialize in specific disciplines. You can rest assured that you will be assigned someone that knows your field inside and outside and can give you the writing research design and methodology help that you need to excel academically.

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Organizing Your Social Sciences Research Paper

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Introduction

Before beginning your paper, you need to decide how you plan to design the study .

The research design refers to the overall strategy and analytical approach that you have chosen in order to integrate, in a coherent and logical way, the different components of the study, thus ensuring that the research problem will be thoroughly investigated. It constitutes the blueprint for the collection, measurement, and interpretation of information and data. Note that the research problem determines the type of design you choose, not the other way around!

De Vaus, D. A. Research Design in Social Research . London: SAGE, 2001; Trochim, William M.K. Research Methods Knowledge Base. 2006.

General Structure and Writing Style

The function of a research design is to ensure that the evidence obtained enables you to effectively address the research problem logically and as unambiguously as possible . In social sciences research, obtaining information relevant to the research problem generally entails specifying the type of evidence needed to test the underlying assumptions of a theory, to evaluate a program, or to accurately describe and assess meaning related to an observable phenomenon.

With this in mind, a common mistake made by researchers is that they begin their investigations before they have thought critically about what information is required to address the research problem. Without attending to these design issues beforehand, the overall research problem will not be adequately addressed and any conclusions drawn will run the risk of being weak and unconvincing. As a consequence, the overall validity of the study will be undermined.

The length and complexity of describing the research design in your paper can vary considerably, but any well-developed description will achieve the following :

• Identify the research problem clearly and justify its selection, particularly in relation to any valid alternative designs that could have been used,
• Review and synthesize previously published literature associated with the research problem,
• Clearly and explicitly specify hypotheses [i.e., research questions] central to the problem,
• Effectively describe the information and/or data which will be necessary for an adequate testing of the hypotheses and explain how such information and/or data will be obtained, and
• Describe the methods of analysis to be applied to the data in determining whether or not the hypotheses are true or false.

The research design is usually incorporated into the introduction of your paper . You can obtain an overall sense of what to do by reviewing studies that have utilized the same research design [e.g., using a case study approach]. This can help you develop an outline to follow for your own paper.

NOTE: Use the SAGE Research Methods Online and Cases and the SAGE Research Methods Videos databases to search for scholarly resources on how to apply specific research designs and methods . The Research Methods Online database contains links to more than 175,000 pages of SAGE publisher's book, journal, and reference content on quantitative, qualitative, and mixed research methodologies. Also included is a collection of case studies of social research projects that can be used to help you better understand abstract or complex methodological concepts. The Research Methods Videos database contains hours of tutorials, interviews, video case studies, and mini-documentaries covering the entire research process.

Creswell, John W. and J. David Creswell. Research Design: Qualitative, Quantitative, and Mixed Methods Approaches . 5th edition. Thousand Oaks, CA: Sage, 2018; De Vaus, D. A. Research Design in Social Research . London: SAGE, 2001; Gorard, Stephen. Research Design: Creating Robust Approaches for the Social Sciences . Thousand Oaks, CA: Sage, 2013; Leedy, Paul D. and Jeanne Ellis Ormrod. Practical Research: Planning and Design . Tenth edition. Boston, MA: Pearson, 2013; Vogt, W. Paul, Dianna C. Gardner, and Lynne M. Haeffele. When to Use What Research Design . New York: Guilford, 2012.

Action Research Design

Definition and Purpose

The essentials of action research design follow a characteristic cycle whereby initially an exploratory stance is adopted, where an understanding of a problem is developed and plans are made for some form of interventionary strategy. Then the intervention is carried out [the "action" in action research] during which time, pertinent observations are collected in various forms. The new interventional strategies are carried out, and this cyclic process repeats, continuing until a sufficient understanding of [or a valid implementation solution for] the problem is achieved. The protocol is iterative or cyclical in nature and is intended to foster deeper understanding of a given situation, starting with conceptualizing and particularizing the problem and moving through several interventions and evaluations.

What do these studies tell you ?

• This is a collaborative and adaptive research design that lends itself to use in work or community situations.
• Design focuses on pragmatic and solution-driven research outcomes rather than testing theories.
• When practitioners use action research, it has the potential to increase the amount they learn consciously from their experience; the action research cycle can be regarded as a learning cycle.
• Action research studies often have direct and obvious relevance to improving practice and advocating for change.
• There are no hidden controls or preemption of direction by the researcher.

What these studies don't tell you ?

• It is harder to do than conducting conventional research because the researcher takes on responsibilities of advocating for change as well as for researching the topic.
• Action research is much harder to write up because it is less likely that you can use a standard format to report your findings effectively [i.e., data is often in the form of stories or observation].
• Personal over-involvement of the researcher may bias research results.
• The cyclic nature of action research to achieve its twin outcomes of action [e.g. change] and research [e.g. understanding] is time-consuming and complex to conduct.
• Advocating for change usually requires buy-in from study participants.

Coghlan, David and Mary Brydon-Miller. The Sage Encyclopedia of Action Research . Thousand Oaks, CA:  Sage, 2014; Efron, Sara Efrat and Ruth Ravid. Action Research in Education: A Practical Guide . New York: Guilford, 2013; Gall, Meredith. Educational Research: An Introduction . Chapter 18, Action Research. 8th ed. Boston, MA: Pearson/Allyn and Bacon, 2007; Gorard, Stephen. Research Design: Creating Robust Approaches for the Social Sciences . Thousand Oaks, CA: Sage, 2013; Kemmis, Stephen and Robin McTaggart. “Participatory Action Research.” In Handbook of Qualitative Research . Norman Denzin and Yvonna S. Lincoln, eds. 2nd ed. (Thousand Oaks, CA: SAGE, 2000), pp. 567-605; McNiff, Jean. Writing and Doing Action Research . London: Sage, 2014; Reason, Peter and Hilary Bradbury. Handbook of Action Research: Participative Inquiry and Practice . Thousand Oaks, CA: SAGE, 2001.

Case Study Design

A case study is an in-depth study of a particular research problem rather than a sweeping statistical survey or comprehensive comparative inquiry. It is often used to narrow down a very broad field of research into one or a few easily researchable examples. The case study research design is also useful for testing whether a specific theory and model actually applies to phenomena in the real world. It is a useful design when not much is known about an issue or phenomenon.

• Approach excels at bringing us to an understanding of a complex issue through detailed contextual analysis of a limited number of events or conditions and their relationships.
• A researcher using a case study design can apply a variety of methodologies and rely on a variety of sources to investigate a research problem.
• Design can extend experience or add strength to what is already known through previous research.
• Social scientists, in particular, make wide use of this research design to examine contemporary real-life situations and provide the basis for the application of concepts and theories and the extension of methodologies.
• The design can provide detailed descriptions of specific and rare cases.
• A single or small number of cases offers little basis for establishing reliability or to generalize the findings to a wider population of people, places, or things.
• Intense exposure to the study of a case may bias a researcher's interpretation of the findings.
• Design does not facilitate assessment of cause and effect relationships.
• Vital information may be missing, making the case hard to interpret.
• The case may not be representative or typical of the larger problem being investigated.
• If the criteria for selecting a case is because it represents a very unusual or unique phenomenon or problem for study, then your interpretation of the findings can only apply to that particular case.

Case Studies. Writing@CSU. Colorado State University; Anastas, Jeane W. Research Design for Social Work and the Human Services . Chapter 4, Flexible Methods: Case Study Design. 2nd ed. New York: Columbia University Press, 1999; Gerring, John. “What Is a Case Study and What Is It Good for?” American Political Science Review 98 (May 2004): 341-354; Greenhalgh, Trisha, editor. Case Study Evaluation: Past, Present and Future Challenges . Bingley, UK: Emerald Group Publishing, 2015; Mills, Albert J. , Gabrielle Durepos, and Eiden Wiebe, editors. Encyclopedia of Case Study Research . Thousand Oaks, CA: SAGE Publications, 2010; Stake, Robert E. The Art of Case Study Research . Thousand Oaks, CA: SAGE, 1995; Yin, Robert K. Case Study Research: Design and Theory . Applied Social Research Methods Series, no. 5. 3rd ed. Thousand Oaks, CA: SAGE, 2003.

Causal Design

Causality studies may be thought of as understanding a phenomenon in terms of conditional statements in the form, “If X, then Y.” This type of research is used to measure what impact a specific change will have on existing norms and assumptions. Most social scientists seek causal explanations that reflect tests of hypotheses. Causal effect (nomothetic perspective) occurs when variation in one phenomenon, an independent variable, leads to or results, on average, in variation in another phenomenon, the dependent variable.

Conditions necessary for determining causality:

• Empirical association -- a valid conclusion is based on finding an association between the independent variable and the dependent variable.
• Appropriate time order -- to conclude that causation was involved, one must see that cases were exposed to variation in the independent variable before variation in the dependent variable.
• Nonspuriousness -- a relationship between two variables that is not due to variation in a third variable.
• Causality research designs assist researchers in understanding why the world works the way it does through the process of proving a causal link between variables and by the process of eliminating other possibilities.
• Replication is possible.
• There is greater confidence the study has internal validity due to the systematic subject selection and equity of groups being compared.
• Not all relationships are causal! The possibility always exists that, by sheer coincidence, two unrelated events appear to be related [e.g., Punxatawney Phil could accurately predict the duration of Winter for five consecutive years but, the fact remains, he's just a big, furry rodent].
• Conclusions about causal relationships are difficult to determine due to a variety of extraneous and confounding variables that exist in a social environment. This means causality can only be inferred, never proven.
• If two variables are correlated, the cause must come before the effect. However, even though two variables might be causally related, it can sometimes be difficult to determine which variable comes first and, therefore, to establish which variable is the actual cause and which is the  actual effect.

Beach, Derek and Rasmus Brun Pedersen. Causal Case Study Methods: Foundations and Guidelines for Comparing, Matching, and Tracing . Ann Arbor, MI: University of Michigan Press, 2016; Bachman, Ronet. The Practice of Research in Criminology and Criminal Justice . Chapter 5, Causation and Research Designs. 3rd ed. Thousand Oaks, CA: Pine Forge Press, 2007; Brewer, Ernest W. and Jennifer Kubn. “Causal-Comparative Design.” In Encyclopedia of Research Design . Neil J. Salkind, editor. (Thousand Oaks, CA: Sage, 2010), pp. 125-132; Causal Research Design: Experimentation. Anonymous SlideShare Presentation; Gall, Meredith. Educational Research: An Introduction . Chapter 11, Nonexperimental Research: Correlational Designs. 8th ed. Boston, MA: Pearson/Allyn and Bacon, 2007; Trochim, William M.K. Research Methods Knowledge Base. 2006.

Cohort Design

Often used in the medical sciences, but also found in the applied social sciences, a cohort study generally refers to a study conducted over a period of time involving members of a population which the subject or representative member comes from, and who are united by some commonality or similarity. Using a quantitative framework, a cohort study makes note of statistical occurrence within a specialized subgroup, united by same or similar characteristics that are relevant to the research problem being investigated, rather than studying statistical occurrence within the general population. Using a qualitative framework, cohort studies generally gather data using methods of observation. Cohorts can be either "open" or "closed."

• Open Cohort Studies [dynamic populations, such as the population of Los Angeles] involve a population that is defined just by the state of being a part of the study in question (and being monitored for the outcome). Date of entry and exit from the study is individually defined, therefore, the size of the study population is not constant. In open cohort studies, researchers can only calculate rate based data, such as, incidence rates and variants thereof.
• Closed Cohort Studies [static populations, such as patients entered into a clinical trial] involve participants who enter into the study at one defining point in time and where it is presumed that no new participants can enter the cohort. Given this, the number of study participants remains constant (or can only decrease).
• The use of cohorts is often mandatory because a randomized control study may be unethical. For example, you cannot deliberately expose people to asbestos, you can only study its effects on those who have already been exposed. Research that measures risk factors often relies upon cohort designs.
• Because cohort studies measure potential causes before the outcome has occurred, they can demonstrate that these “causes” preceded the outcome, thereby avoiding the debate as to which is the cause and which is the effect.
• Cohort analysis is highly flexible and can provide insight into effects over time and related to a variety of different types of changes [e.g., social, cultural, political, economic, etc.].
• Either original data or secondary data can be used in this design.
• In cases where a comparative analysis of two cohorts is made [e.g., studying the effects of one group exposed to asbestos and one that has not], a researcher cannot control for all other factors that might differ between the two groups. These factors are known as confounding variables.
• Cohort studies can end up taking a long time to complete if the researcher must wait for the conditions of interest to develop within the group. This also increases the chance that key variables change during the course of the study, potentially impacting the validity of the findings.
• Due to the lack of randominization in the cohort design, its external validity is lower than that of study designs where the researcher randomly assigns participants.

Healy P, Devane D. “Methodological Considerations in Cohort Study Designs.” Nurse Researcher 18 (2011): 32-36; Glenn, Norval D, editor. Cohort Analysis . 2nd edition. Thousand Oaks, CA: Sage, 2005; Levin, Kate Ann. Study Design IV: Cohort Studies. Evidence-Based Dentistry 7 (2003): 51–52; Payne, Geoff. “Cohort Study.” In The SAGE Dictionary of Social Research Methods . Victor Jupp, editor. (Thousand Oaks, CA: Sage, 2006), pp. 31-33; Study Design 101. Himmelfarb Health Sciences Library. George Washington University, November 2011; Cohort Study. Wikipedia.

Cross-Sectional Design

Cross-sectional research designs have three distinctive features: no time dimension; a reliance on existing differences rather than change following intervention; and, groups are selected based on existing differences rather than random allocation. The cross-sectional design can only measure differences between or from among a variety of people, subjects, or phenomena rather than a process of change. As such, researchers using this design can only employ a relatively passive approach to making causal inferences based on findings.

• Cross-sectional studies provide a clear 'snapshot' of the outcome and the characteristics associated with it, at a specific point in time.
• Unlike an experimental design, where there is an active intervention by the researcher to produce and measure change or to create differences, cross-sectional designs focus on studying and drawing inferences from existing differences between people, subjects, or phenomena.
• Entails collecting data at and concerning one point in time. While longitudinal studies involve taking multiple measures over an extended period of time, cross-sectional research is focused on finding relationships between variables at one moment in time.
• Groups identified for study are purposely selected based upon existing differences in the sample rather than seeking random sampling.
• Cross-section studies are capable of using data from a large number of subjects and, unlike observational studies, is not geographically bound.
• Can estimate prevalence of an outcome of interest because the sample is usually taken from the whole population.
• Because cross-sectional designs generally use survey techniques to gather data, they are relatively inexpensive and take up little time to conduct.
• Finding people, subjects, or phenomena to study that are very similar except in one specific variable can be difficult.
• Results are static and time bound and, therefore, give no indication of a sequence of events or reveal historical or temporal contexts.
• Studies cannot be utilized to establish cause and effect relationships.
• This design only provides a snapshot of analysis so there is always the possibility that a study could have differing results if another time-frame had been chosen.
• There is no follow up to the findings.

Bethlehem, Jelke. "7: Cross-sectional Research." In Research Methodology in the Social, Behavioural and Life Sciences . Herman J Adèr and Gideon J Mellenbergh, editors. (London, England: Sage, 1999), pp. 110-43; Bourque, Linda B. “Cross-Sectional Design.” In  The SAGE Encyclopedia of Social Science Research Methods . Michael S. Lewis-Beck, Alan Bryman, and Tim Futing Liao. (Thousand Oaks, CA: 2004), pp. 230-231; Hall, John. “Cross-Sectional Survey Design.” In Encyclopedia of Survey Research Methods . Paul J. Lavrakas, ed. (Thousand Oaks, CA: Sage, 2008), pp. 173-174; Helen Barratt, Maria Kirwan. Cross-Sectional Studies: Design Application, Strengths and Weaknesses of Cross-Sectional Studies. Healthknowledge, 2009. Cross-Sectional Study. Wikipedia.

Descriptive Design

Descriptive research designs help provide answers to the questions of who, what, when, where, and how associated with a particular research problem; a descriptive study cannot conclusively ascertain answers to why. Descriptive research is used to obtain information concerning the current status of the phenomena and to describe "what exists" with respect to variables or conditions in a situation.

• The subject is being observed in a completely natural and unchanged natural environment. True experiments, whilst giving analyzable data, often adversely influence the normal behavior of the subject [a.k.a., the Heisenberg effect whereby measurements of certain systems cannot be made without affecting the systems].
• Descriptive research is often used as a pre-cursor to more quantitative research designs with the general overview giving some valuable pointers as to what variables are worth testing quantitatively.
• If the limitations are understood, they can be a useful tool in developing a more focused study.
• Descriptive studies can yield rich data that lead to important recommendations in practice.
• Appoach collects a large amount of data for detailed analysis.
• The results from a descriptive research cannot be used to discover a definitive answer or to disprove a hypothesis.
• Because descriptive designs often utilize observational methods [as opposed to quantitative methods], the results cannot be replicated.
• The descriptive function of research is heavily dependent on instrumentation for measurement and observation.

Anastas, Jeane W. Research Design for Social Work and the Human Services . Chapter 5, Flexible Methods: Descriptive Research. 2nd ed. New York: Columbia University Press, 1999; Given, Lisa M. "Descriptive Research." In Encyclopedia of Measurement and Statistics . Neil J. Salkind and Kristin Rasmussen, editors. (Thousand Oaks, CA: Sage, 2007), pp. 251-254; McNabb, Connie. Descriptive Research Methodologies. Powerpoint Presentation; Shuttleworth, Martyn. Descriptive Research Design, September 26, 2008; Erickson, G. Scott. "Descriptive Research Design." In New Methods of Market Research and Analysis . (Northampton, MA: Edward Elgar Publishing, 2017), pp. 51-77; Sahin, Sagufta, and Jayanta Mete. "A Brief Study on Descriptive Research: Its Nature and Application in Social Science." International Journal of Research and Analysis in Humanities 1 (2021): 11; K. Swatzell and P. Jennings. “Descriptive Research: The Nuts and Bolts.” Journal of the American Academy of Physician Assistants 20 (2007), pp. 55-56; Kane, E. Doing Your Own Research: Basic Descriptive Research in the Social Sciences and Humanities . London: Marion Boyars, 1985.

Experimental Design

A blueprint of the procedure that enables the researcher to maintain control over all factors that may affect the result of an experiment. In doing this, the researcher attempts to determine or predict what may occur. Experimental research is often used where there is time priority in a causal relationship (cause precedes effect), there is consistency in a causal relationship (a cause will always lead to the same effect), and the magnitude of the correlation is great. The classic experimental design specifies an experimental group and a control group. The independent variable is administered to the experimental group and not to the control group, and both groups are measured on the same dependent variable. Subsequent experimental designs have used more groups and more measurements over longer periods. True experiments must have control, randomization, and manipulation.

• Experimental research allows the researcher to control the situation. In so doing, it allows researchers to answer the question, “What causes something to occur?”
• Permits the researcher to identify cause and effect relationships between variables and to distinguish placebo effects from treatment effects.
• Experimental research designs support the ability to limit alternative explanations and to infer direct causal relationships in the study.
• Approach provides the highest level of evidence for single studies.
• The design is artificial, and results may not generalize well to the real world.
• The artificial settings of experiments may alter the behaviors or responses of participants.
• Experimental designs can be costly if special equipment or facilities are needed.
• Some research problems cannot be studied using an experiment because of ethical or technical reasons.
• Difficult to apply ethnographic and other qualitative methods to experimentally designed studies.

Anastas, Jeane W. Research Design for Social Work and the Human Services . Chapter 7, Flexible Methods: Experimental Research. 2nd ed. New York: Columbia University Press, 1999; Chapter 2: Research Design, Experimental Designs. School of Psychology, University of New England, 2000; Chow, Siu L. "Experimental Design." In Encyclopedia of Research Design . Neil J. Salkind, editor. (Thousand Oaks, CA: Sage, 2010), pp. 448-453; "Experimental Design." In Social Research Methods . Nicholas Walliman, editor. (London, England: Sage, 2006), pp, 101-110; Experimental Research. Research Methods by Dummies. Department of Psychology. California State University, Fresno, 2006; Kirk, Roger E. Experimental Design: Procedures for the Behavioral Sciences . 4th edition. Thousand Oaks, CA: Sage, 2013; Trochim, William M.K. Experimental Design. Research Methods Knowledge Base. 2006; Rasool, Shafqat. Experimental Research. Slideshare presentation.

Exploratory Design

An exploratory design is conducted about a research problem when there are few or no earlier studies to refer to or rely upon to predict an outcome . The focus is on gaining insights and familiarity for later investigation or undertaken when research problems are in a preliminary stage of investigation. Exploratory designs are often used to establish an understanding of how best to proceed in studying an issue or what methodology would effectively apply to gathering information about the issue.

The goals of exploratory research are intended to produce the following possible insights:

• Familiarity with basic details, settings, and concerns.
• Well grounded picture of the situation being developed.
• Generation of new ideas and assumptions.
• Development of tentative theories or hypotheses.
• Determination about whether a study is feasible in the future.
• Issues get refined for more systematic investigation and formulation of new research questions.
• Direction for future research and techniques get developed.
• Design is a useful approach for gaining background information on a particular topic.
• Exploratory research is flexible and can address research questions of all types (what, why, how).
• Provides an opportunity to define new terms and clarify existing concepts.
• Exploratory research is often used to generate formal hypotheses and develop more precise research problems.
• In the policy arena or applied to practice, exploratory studies help establish research priorities and where resources should be allocated.
• Exploratory research generally utilizes small sample sizes and, thus, findings are typically not generalizable to the population at large.
• The exploratory nature of the research inhibits an ability to make definitive conclusions about the findings. They provide insight but not definitive conclusions.
• The research process underpinning exploratory studies is flexible but often unstructured, leading to only tentative results that have limited value to decision-makers.
• Design lacks rigorous standards applied to methods of data gathering and analysis because one of the areas for exploration could be to determine what method or methodologies could best fit the research problem.

Cuthill, Michael. “Exploratory Research: Citizen Participation, Local Government, and Sustainable Development in Australia.” Sustainable Development 10 (2002): 79-89; Streb, Christoph K. "Exploratory Case Study." In Encyclopedia of Case Study Research . Albert J. Mills, Gabrielle Durepos and Eiden Wiebe, editors. (Thousand Oaks, CA: Sage, 2010), pp. 372-374; Taylor, P. J., G. Catalano, and D.R.F. Walker. “Exploratory Analysis of the World City Network.” Urban Studies 39 (December 2002): 2377-2394; Exploratory Research. Wikipedia.

Field Research Design

Sometimes referred to as ethnography or participant observation, designs around field research encompass a variety of interpretative procedures [e.g., observation and interviews] rooted in qualitative approaches to studying people individually or in groups while inhabiting their natural environment as opposed to using survey instruments or other forms of impersonal methods of data gathering. Information acquired from observational research takes the form of “ field notes ” that involves documenting what the researcher actually sees and hears while in the field. Findings do not consist of conclusive statements derived from numbers and statistics because field research involves analysis of words and observations of behavior. Conclusions, therefore, are developed from an interpretation of findings that reveal overriding themes, concepts, and ideas. More information can be found HERE .

• Field research is often necessary to fill gaps in understanding the research problem applied to local conditions or to specific groups of people that cannot be ascertained from existing data.
• The research helps contextualize already known information about a research problem, thereby facilitating ways to assess the origins, scope, and scale of a problem and to gage the causes, consequences, and means to resolve an issue based on deliberate interaction with people in their natural inhabited spaces.
• Enables the researcher to corroborate or confirm data by gathering additional information that supports or refutes findings reported in prior studies of the topic.
• Because the researcher in embedded in the field, they are better able to make observations or ask questions that reflect the specific cultural context of the setting being investigated.
• Observing the local reality offers the opportunity to gain new perspectives or obtain unique data that challenges existing theoretical propositions or long-standing assumptions found in the literature.

What these studies don't tell you

• A field research study requires extensive time and resources to carry out the multiple steps involved with preparing for the gathering of information, including for example, examining background information about the study site, obtaining permission to access the study site, and building trust and rapport with subjects.
• Requires a commitment to staying engaged in the field to ensure that you can adequately document events and behaviors as they unfold.
• The unpredictable nature of fieldwork means that researchers can never fully control the process of data gathering. They must maintain a flexible approach to studying the setting because events and circumstances can change quickly or unexpectedly.
• Findings can be difficult to interpret and verify without access to documents and other source materials that help to enhance the credibility of information obtained from the field  [i.e., the act of triangulating the data].
• Linking the research problem to the selection of study participants inhabiting their natural environment is critical. However, this specificity limits the ability to generalize findings to different situations or in other contexts or to infer courses of action applied to other settings or groups of people.
• The reporting of findings must take into account how the researcher themselves may have inadvertently affected respondents and their behaviors.

Historical Design

The purpose of a historical research design is to collect, verify, and synthesize evidence from the past to establish facts that defend or refute a hypothesis. It uses secondary sources and a variety of primary documentary evidence, such as, diaries, official records, reports, archives, and non-textual information [maps, pictures, audio and visual recordings]. The limitation is that the sources must be both authentic and valid.

• The historical research design is unobtrusive; the act of research does not affect the results of the study.
• The historical approach is well suited for trend analysis.
• Historical records can add important contextual background required to more fully understand and interpret a research problem.
• There is often no possibility of researcher-subject interaction that could affect the findings.
• Historical sources can be used over and over to study different research problems or to replicate a previous study.
• The ability to fulfill the aims of your research are directly related to the amount and quality of documentation available to understand the research problem.
• Since historical research relies on data from the past, there is no way to manipulate it to control for contemporary contexts.
• Interpreting historical sources can be very time consuming.
• The sources of historical materials must be archived consistently to ensure access. This may especially challenging for digital or online-only sources.
• Original authors bring their own perspectives and biases to the interpretation of past events and these biases are more difficult to ascertain in historical resources.
• Due to the lack of control over external variables, historical research is very weak with regard to the demands of internal validity.
• It is rare that the entirety of historical documentation needed to fully address a research problem is available for interpretation, therefore, gaps need to be acknowledged.

Howell, Martha C. and Walter Prevenier. From Reliable Sources: An Introduction to Historical Methods . Ithaca, NY: Cornell University Press, 2001; Lundy, Karen Saucier. "Historical Research." In The Sage Encyclopedia of Qualitative Research Methods . Lisa M. Given, editor. (Thousand Oaks, CA: Sage, 2008), pp. 396-400; Marius, Richard. and Melvin E. Page. A Short Guide to Writing about History . 9th edition. Boston, MA: Pearson, 2015; Savitt, Ronald. “Historical Research in Marketing.” Journal of Marketing 44 (Autumn, 1980): 52-58;  Gall, Meredith. Educational Research: An Introduction . Chapter 16, Historical Research. 8th ed. Boston, MA: Pearson/Allyn and Bacon, 2007.

Longitudinal Design

A longitudinal study follows the same sample over time and makes repeated observations. For example, with longitudinal surveys, the same group of people is interviewed at regular intervals, enabling researchers to track changes over time and to relate them to variables that might explain why the changes occur. Longitudinal research designs describe patterns of change and help establish the direction and magnitude of causal relationships. Measurements are taken on each variable over two or more distinct time periods. This allows the researcher to measure change in variables over time. It is a type of observational study sometimes referred to as a panel study.

• Longitudinal data facilitate the analysis of the duration of a particular phenomenon.
• Enables survey researchers to get close to the kinds of causal explanations usually attainable only with experiments.
• The design permits the measurement of differences or change in a variable from one period to another [i.e., the description of patterns of change over time].
• Longitudinal studies facilitate the prediction of future outcomes based upon earlier factors.
• The data collection method may change over time.
• Maintaining the integrity of the original sample can be difficult over an extended period of time.
• It can be difficult to show more than one variable at a time.
• This design often needs qualitative research data to explain fluctuations in the results.
• A longitudinal research design assumes present trends will continue unchanged.
• It can take a long period of time to gather results.
• There is a need to have a large sample size and accurate sampling to reach representativness.

Anastas, Jeane W. Research Design for Social Work and the Human Services . Chapter 6, Flexible Methods: Relational and Longitudinal Research. 2nd ed. New York: Columbia University Press, 1999; Forgues, Bernard, and Isabelle Vandangeon-Derumez. "Longitudinal Analyses." In Doing Management Research . Raymond-Alain Thiétart and Samantha Wauchope, editors. (London, England: Sage, 2001), pp. 332-351; Kalaian, Sema A. and Rafa M. Kasim. "Longitudinal Studies." In Encyclopedia of Survey Research Methods . Paul J. Lavrakas, ed. (Thousand Oaks, CA: Sage, 2008), pp. 440-441; Menard, Scott, editor. Longitudinal Research . Thousand Oaks, CA: Sage, 2002; Ployhart, Robert E. and Robert J. Vandenberg. "Longitudinal Research: The Theory, Design, and Analysis of Change.” Journal of Management 36 (January 2010): 94-120; Longitudinal Study. Wikipedia.

Meta-Analysis Design

Meta-analysis is an analytical methodology designed to systematically evaluate and summarize the results from a number of individual studies, thereby, increasing the overall sample size and the ability of the researcher to study effects of interest. The purpose is to not simply summarize existing knowledge, but to develop a new understanding of a research problem using synoptic reasoning. The main objectives of meta-analysis include analyzing differences in the results among studies and increasing the precision by which effects are estimated. A well-designed meta-analysis depends upon strict adherence to the criteria used for selecting studies and the availability of information in each study to properly analyze their findings. Lack of information can severely limit the type of analyzes and conclusions that can be reached. In addition, the more dissimilarity there is in the results among individual studies [heterogeneity], the more difficult it is to justify interpretations that govern a valid synopsis of results. A meta-analysis needs to fulfill the following requirements to ensure the validity of your findings:

• Clearly defined description of objectives, including precise definitions of the variables and outcomes that are being evaluated;
• A well-reasoned and well-documented justification for identification and selection of the studies;
• Assessment and explicit acknowledgment of any researcher bias in the identification and selection of those studies;
• Description and evaluation of the degree of heterogeneity among the sample size of studies reviewed; and,
• Justification of the techniques used to evaluate the studies.
• Can be an effective strategy for determining gaps in the literature.
• Provides a means of reviewing research published about a particular topic over an extended period of time and from a variety of sources.
• Is useful in clarifying what policy or programmatic actions can be justified on the basis of analyzing research results from multiple studies.
• Provides a method for overcoming small sample sizes in individual studies that previously may have had little relationship to each other.
• Can be used to generate new hypotheses or highlight research problems for future studies.
• Small violations in defining the criteria used for content analysis can lead to difficult to interpret and/or meaningless findings.
• A large sample size can yield reliable, but not necessarily valid, results.
• A lack of uniformity regarding, for example, the type of literature reviewed, how methods are applied, and how findings are measured within the sample of studies you are analyzing, can make the process of synthesis difficult to perform.
• Depending on the sample size, the process of reviewing and synthesizing multiple studies can be very time consuming.

Beck, Lewis W. "The Synoptic Method." The Journal of Philosophy 36 (1939): 337-345; Cooper, Harris, Larry V. Hedges, and Jeffrey C. Valentine, eds. The Handbook of Research Synthesis and Meta-Analysis . 2nd edition. New York: Russell Sage Foundation, 2009; Guzzo, Richard A., Susan E. Jackson and Raymond A. Katzell. “Meta-Analysis Analysis.” In Research in Organizational Behavior , Volume 9. (Greenwich, CT: JAI Press, 1987), pp 407-442; Lipsey, Mark W. and David B. Wilson. Practical Meta-Analysis . Thousand Oaks, CA: Sage Publications, 2001; Study Design 101. Meta-Analysis. The Himmelfarb Health Sciences Library, George Washington University; Timulak, Ladislav. “Qualitative Meta-Analysis.” In The SAGE Handbook of Qualitative Data Analysis . Uwe Flick, editor. (Los Angeles, CA: Sage, 2013), pp. 481-495; Walker, Esteban, Adrian V. Hernandez, and Micheal W. Kattan. "Meta-Analysis: It's Strengths and Limitations." Cleveland Clinic Journal of Medicine 75 (June 2008): 431-439.

Mixed-Method Design

• Narrative and non-textual information can add meaning to numeric data, while numeric data can add precision to narrative and non-textual information.
• Can utilize existing data while at the same time generating and testing a grounded theory approach to describe and explain the phenomenon under study.
• A broader, more complex research problem can be investigated because the researcher is not constrained by using only one method.
• The strengths of one method can be used to overcome the inherent weaknesses of another method.
• Can provide stronger, more robust evidence to support a conclusion or set of recommendations.
• May generate new knowledge new insights or uncover hidden insights, patterns, or relationships that a single methodological approach might not reveal.
• Produces more complete knowledge and understanding of the research problem that can be used to increase the generalizability of findings applied to theory or practice.
• A researcher must be proficient in understanding how to apply multiple methods to investigating a research problem as well as be proficient in optimizing how to design a study that coherently melds them together.
• Can increase the likelihood of conflicting results or ambiguous findings that inhibit drawing a valid conclusion or setting forth a recommended course of action [e.g., sample interview responses do not support existing statistical data].
• Because the research design can be very complex, reporting the findings requires a well-organized narrative, clear writing style, and precise word choice.
• Design invites collaboration among experts. However, merging different investigative approaches and writing styles requires more attention to the overall research process than studies conducted using only one methodological paradigm.
• Concurrent merging of quantitative and qualitative research requires greater attention to having adequate sample sizes, using comparable samples, and applying a consistent unit of analysis. For sequential designs where one phase of qualitative research builds on the quantitative phase or vice versa, decisions about what results from the first phase to use in the next phase, the choice of samples and estimating reasonable sample sizes for both phases, and the interpretation of results from both phases can be difficult.
• Due to multiple forms of data being collected and analyzed, this design requires extensive time and resources to carry out the multiple steps involved in data gathering and interpretation.

Burch, Patricia and Carolyn J. Heinrich. Mixed Methods for Policy Research and Program Evaluation . Thousand Oaks, CA: Sage, 2016; Creswell, John w. et al. Best Practices for Mixed Methods Research in the Health Sciences . Bethesda, MD: Office of Behavioral and Social Sciences Research, National Institutes of Health, 2010Creswell, John W. Research Design: Qualitative, Quantitative, and Mixed Methods Approaches . 4th edition. Thousand Oaks, CA: Sage Publications, 2014; Domínguez, Silvia, editor. Mixed Methods Social Networks Research . Cambridge, UK: Cambridge University Press, 2014; Hesse-Biber, Sharlene Nagy. Mixed Methods Research: Merging Theory with Practice . New York: Guilford Press, 2010; Niglas, Katrin. “How the Novice Researcher Can Make Sense of Mixed Methods Designs.” International Journal of Multiple Research Approaches 3 (2009): 34-46; Onwuegbuzie, Anthony J. and Nancy L. Leech. “Linking Research Questions to Mixed Methods Data Analysis Procedures.” The Qualitative Report 11 (September 2006): 474-498; Tashakorri, Abbas and John W. Creswell. “The New Era of Mixed Methods.” Journal of Mixed Methods Research 1 (January 2007): 3-7; Zhanga, Wanqing. “Mixed Methods Application in Health Intervention Research: A Multiple Case Study.” International Journal of Multiple Research Approaches 8 (2014): 24-35 .

Observational Design

This type of research design draws a conclusion by comparing subjects against a control group, in cases where the researcher has no control over the experiment. There are two general types of observational designs. In direct observations, people know that you are watching them. Unobtrusive measures involve any method for studying behavior where individuals do not know they are being observed. An observational study allows a useful insight into a phenomenon and avoids the ethical and practical difficulties of setting up a large and cumbersome research project.

• Observational studies are usually flexible and do not necessarily need to be structured around a hypothesis about what you expect to observe [data is emergent rather than pre-existing].
• The researcher is able to collect in-depth information about a particular behavior.
• Can reveal interrelationships among multifaceted dimensions of group interactions.
• You can generalize your results to real life situations.
• Observational research is useful for discovering what variables may be important before applying other methods like experiments.
• Observation research designs account for the complexity of group behaviors.
• Reliability of data is low because seeing behaviors occur over and over again may be a time consuming task and are difficult to replicate.
• In observational research, findings may only reflect a unique sample population and, thus, cannot be generalized to other groups.
• There can be problems with bias as the researcher may only "see what they want to see."
• There is no possibility to determine "cause and effect" relationships since nothing is manipulated.
• Sources or subjects may not all be equally credible.
• Any group that is knowingly studied is altered to some degree by the presence of the researcher, therefore, potentially skewing any data collected.

Atkinson, Paul and Martyn Hammersley. “Ethnography and Participant Observation.” In Handbook of Qualitative Research . Norman K. Denzin and Yvonna S. Lincoln, eds. (Thousand Oaks, CA: Sage, 1994), pp. 248-261; Observational Research. Research Methods by Dummies. Department of Psychology. California State University, Fresno, 2006; Patton Michael Quinn. Qualitiative Research and Evaluation Methods . Chapter 6, Fieldwork Strategies and Observational Methods. 3rd ed. Thousand Oaks, CA: Sage, 2002; Payne, Geoff and Judy Payne. "Observation." In Key Concepts in Social Research . The SAGE Key Concepts series. (London, England: Sage, 2004), pp. 158-162; Rosenbaum, Paul R. Design of Observational Studies . New York: Springer, 2010;Williams, J. Patrick. "Nonparticipant Observation." In The Sage Encyclopedia of Qualitative Research Methods . Lisa M. Given, editor.(Thousand Oaks, CA: Sage, 2008), pp. 562-563.

Philosophical Design

Understood more as an broad approach to examining a research problem than a methodological design, philosophical analysis and argumentation is intended to challenge deeply embedded, often intractable, assumptions underpinning an area of study. This approach uses the tools of argumentation derived from philosophical traditions, concepts, models, and theories to critically explore and challenge, for example, the relevance of logic and evidence in academic debates, to analyze arguments about fundamental issues, or to discuss the root of existing discourse about a research problem. These overarching tools of analysis can be framed in three ways:

• Ontology -- the study that describes the nature of reality; for example, what is real and what is not, what is fundamental and what is derivative?
• Epistemology -- the study that explores the nature of knowledge; for example, by what means does knowledge and understanding depend upon and how can we be certain of what we know?
• Axiology -- the study of values; for example, what values does an individual or group hold and why? How are values related to interest, desire, will, experience, and means-to-end? And, what is the difference between a matter of fact and a matter of value?
• Can provide a basis for applying ethical decision-making to practice.
• Functions as a means of gaining greater self-understanding and self-knowledge about the purposes of research.
• Brings clarity to general guiding practices and principles of an individual or group.
• Philosophy informs methodology.
• Refine concepts and theories that are invoked in relatively unreflective modes of thought and discourse.
• Beyond methodology, philosophy also informs critical thinking about epistemology and the structure of reality (metaphysics).
• Offers clarity and definition to the practical and theoretical uses of terms, concepts, and ideas.
• Limited application to specific research problems [answering the "So What?" question in social science research].
• Analysis can be abstract, argumentative, and limited in its practical application to real-life issues.
• While a philosophical analysis may render problematic that which was once simple or taken-for-granted, the writing can be dense and subject to unnecessary jargon, overstatement, and/or excessive quotation and documentation.
• There are limitations in the use of metaphor as a vehicle of philosophical analysis.
• There can be analytical difficulties in moving from philosophy to advocacy and between abstract thought and application to the phenomenal world.

Burton, Dawn. "Part I, Philosophy of the Social Sciences." In Research Training for Social Scientists . (London, England: Sage, 2000), pp. 1-5; Chapter 4, Research Methodology and Design. Unisa Institutional Repository (UnisaIR), University of South Africa; Jarvie, Ian C., and Jesús Zamora-Bonilla, editors. The SAGE Handbook of the Philosophy of Social Sciences . London: Sage, 2011; Labaree, Robert V. and Ross Scimeca. “The Philosophical Problem of Truth in Librarianship.” The Library Quarterly 78 (January 2008): 43-70; Maykut, Pamela S. Beginning Qualitative Research: A Philosophic and Practical Guide . Washington, DC: Falmer Press, 1994; McLaughlin, Hugh. "The Philosophy of Social Research." In Understanding Social Work Research . 2nd edition. (London: SAGE Publications Ltd., 2012), pp. 24-47; Stanford Encyclopedia of Philosophy . Metaphysics Research Lab, CSLI, Stanford University, 2013.

Sequential Design

• The researcher has a limitless option when it comes to sample size and the sampling schedule.
• Due to the repetitive nature of this research design, minor changes and adjustments can be done during the initial parts of the study to correct and hone the research method.
• This is a useful design for exploratory studies.
• There is very little effort on the part of the researcher when performing this technique. It is generally not expensive, time consuming, or workforce intensive.
• Because the study is conducted serially, the results of one sample are known before the next sample is taken and analyzed. This provides opportunities for continuous improvement of sampling and methods of analysis.
• The sampling method is not representative of the entire population. The only possibility of approaching representativeness is when the researcher chooses to use a very large sample size significant enough to represent a significant portion of the entire population. In this case, moving on to study a second or more specific sample can be difficult.
• The design cannot be used to create conclusions and interpretations that pertain to an entire population because the sampling technique is not randomized. Generalizability from findings is, therefore, limited.
• Difficult to account for and interpret variation from one sample to another over time, particularly when using qualitative methods of data collection.

Betensky, Rebecca. Harvard University, Course Lecture Note slides; Bovaird, James A. and Kevin A. Kupzyk. "Sequential Design." In Encyclopedia of Research Design . Neil J. Salkind, editor. (Thousand Oaks, CA: Sage, 2010), pp. 1347-1352; Cresswell, John W. Et al. “Advanced Mixed-Methods Research Designs.” In Handbook of Mixed Methods in Social and Behavioral Research . Abbas Tashakkori and Charles Teddle, eds. (Thousand Oaks, CA: Sage, 2003), pp. 209-240; Henry, Gary T. "Sequential Sampling." In The SAGE Encyclopedia of Social Science Research Methods . Michael S. Lewis-Beck, Alan Bryman and Tim Futing Liao, editors. (Thousand Oaks, CA: Sage, 2004), pp. 1027-1028; Nataliya V. Ivankova. “Using Mixed-Methods Sequential Explanatory Design: From Theory to Practice.” Field Methods 18 (February 2006): 3-20; Bovaird, James A. and Kevin A. Kupzyk. “Sequential Design.” In Encyclopedia of Research Design . Neil J. Salkind, ed. Thousand Oaks, CA: Sage, 2010; Sequential Analysis. Wikipedia.

Systematic Review

• A systematic review synthesizes the findings of multiple studies related to each other by incorporating strategies of analysis and interpretation intended to reduce biases and random errors.
• The application of critical exploration, evaluation, and synthesis methods separates insignificant, unsound, or redundant research from the most salient and relevant studies worthy of reflection.
• They can be use to identify, justify, and refine hypotheses, recognize and avoid hidden problems in prior studies, and explain data inconsistencies and conflicts in data.
• Systematic reviews can be used to help policy makers formulate evidence-based guidelines and regulations.
• The use of strict, explicit, and pre-determined methods of synthesis, when applied appropriately, provide reliable estimates about the effects of interventions, evaluations, and effects related to the overarching research problem investigated by each study under review.
• Systematic reviews illuminate where knowledge or thorough understanding of a research problem is lacking and, therefore, can then be used to guide future research.
• The accepted inclusion of unpublished studies [i.e., grey literature] ensures the broadest possible way to analyze and interpret research on a topic.
• Results of the synthesis can be generalized and the findings extrapolated into the general population with more validity than most other types of studies .
• Systematic reviews do not create new knowledge per se; they are a method for synthesizing existing studies about a research problem in order to gain new insights and determine gaps in the literature.
• The way researchers have carried out their investigations [e.g., the period of time covered, number of participants, sources of data analyzed, etc.] can make it difficult to effectively synthesize studies.
• The inclusion of unpublished studies can introduce bias into the review because they may not have undergone a rigorous peer-review process prior to publication. Examples may include conference presentations or proceedings, publications from government agencies, white papers, working papers, and internal documents from organizations, and doctoral dissertations and Master's theses.

Denyer, David and David Tranfield. "Producing a Systematic Review." In The Sage Handbook of Organizational Research Methods .  David A. Buchanan and Alan Bryman, editors. ( Thousand Oaks, CA: Sage Publications, 2009), pp. 671-689; Foster, Margaret J. and Sarah T. Jewell, editors. Assembling the Pieces of a Systematic Review: A Guide for Librarians . Lanham, MD: Rowman and Littlefield, 2017; Gough, David, Sandy Oliver, James Thomas, editors. Introduction to Systematic Reviews . 2nd edition. Los Angeles, CA: Sage Publications, 2017; Gopalakrishnan, S. and P. Ganeshkumar. “Systematic Reviews and Meta-analysis: Understanding the Best Evidence in Primary Healthcare.” Journal of Family Medicine and Primary Care 2 (2013): 9-14; Gough, David, James Thomas, and Sandy Oliver. "Clarifying Differences between Review Designs and Methods." Systematic Reviews 1 (2012): 1-9; Khan, Khalid S., Regina Kunz, Jos Kleijnen, and Gerd Antes. “Five Steps to Conducting a Systematic Review.” Journal of the Royal Society of Medicine 96 (2003): 118-121; Mulrow, C. D. “Systematic Reviews: Rationale for Systematic Reviews.” BMJ 309:597 (September 1994); O'Dwyer, Linda C., and Q. Eileen Wafford. "Addressing Challenges with Systematic Review Teams through Effective Communication: A Case Report." Journal of the Medical Library Association 109 (October 2021): 643-647; Okoli, Chitu, and Kira Schabram. "A Guide to Conducting a Systematic Literature Review of Information Systems Research."  Sprouts: Working Papers on Information Systems 10 (2010); Siddaway, Andy P., Alex M. Wood, and Larry V. Hedges. "How to Do a Systematic Review: A Best Practice Guide for Conducting and Reporting Narrative Reviews, Meta-analyses, and Meta-syntheses." Annual Review of Psychology 70 (2019): 747-770; Torgerson, Carole J. “Publication Bias: The Achilles’ Heel of Systematic Reviews?” British Journal of Educational Studies 54 (March 2006): 89-102; Torgerson, Carole. Systematic Reviews . New York: Continuum, 2003.

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Research Methods Guide: Research Design & Method

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Research Methods (sociology-focused)

Qualitative vs. Quantitative Methods (intro)

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FAQ: Research Design & Method

What is the difference between Research Design and Research Method?

Research design is a plan to answer your research question.  A research method is a strategy used to implement that plan.  Research design and methods are different but closely related, because good research design ensures that the data you obtain will help you answer your research question more effectively.

Which research method should I choose ?

It depends on your research goal.  It depends on what subjects (and who) you want to study.  Let's say you are interested in studying what makes people happy, or why some students are more conscious about recycling on campus.  To answer these questions, you need to make a decision about how to collect your data.  Most frequently used methods include:

• Observation / Participant Observation
• Focus Groups
• Experiments
• Secondary Data Analysis / Archival Study
• Mixed Methods (combination of some of the above)

One particular method could be better suited to your research goal than others, because the data you collect from different methods will be different in quality and quantity.   For instance, surveys are usually designed to produce relatively short answers, rather than the extensive responses expected in qualitative interviews.

What other factors should I consider when choosing one method over another?

Time for data collection and analysis is something you want to consider.  An observation or interview method, so-called qualitative approach, helps you collect richer information, but it takes time.  Using a survey helps you collect more data quickly, yet it may lack details.  So, you will need to consider the time you have for research and the balance between strengths and weaknesses associated with each method (e.g., qualitative vs. quantitative).

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Research Design

Same as research approach, different textbooks place different meanings on research design. Some authors consider research design as the choice between qualitative and quantitative research methods. Others argue that research design refers to the choice of specific methods of data collection and analysis. Research design is also placed as a master plan for conducting a research project and this appears to be the most authentic explanation of the term.

 In your dissertation you can define research design as a general plan about what you will do to answer the research question. [1] It is a framework for choosing specific methods of data collection and data analysis.

Research design can be divided into two groups:  exploratory  and  conclusive . Exploratory research, according to its name merely aims to explore specific aspects of the research area. Exploratory research does not aim to provide final and conclusive answers to research questions. The researcher may even change the direction of the study to a certain extent, however not fundamentally, according to new evidences gained during the research process.

Conclusive research, on the contrary, generate findings that can be practically useful for decision-making. The following Table 1 illustrates the main differences between exploratory and conclusive research in relation to important components of a dissertation.

Table 1 Major differences between exploratory and conclusive research design [2]

The following can be mentioned as examples with exploratory design:

• A critical analysis of argument of mandatory CSR for UK private sector organisations
• A study into contradictions between CSR program and initiatives and business practices: a case study of Philip Morris USA
• An investigation into the ways of customer relationship management in mobile marketing environment

Studies listed above do not aim to generate final and conclusive evidences to research questions. These studies merely aim to explore their respective research areas.

Conclusive research  can be divided into two categories:  descriptive  and  causal . Descriptive research design, as the name suggests, describes specific elements, causes, or phenomena in the research area.

Table 2 Examples for descriptive research design

Causal research design , on the other hand, is conducted to study cause-and-effect relationships.  Table 3 below illustrates some examples for studies with causal research design.

Table 3 Examples for studies with causal design

My e-book,  The Ultimate Guide to Writing a Dissertation in Business Studies: a step by step assistance  contains discussions of theory and application of research designs. The e-book also explains all stages of the  research process  starting from the  selection of the research area  to writing personal reflection. Important elements of dissertations such as  research philosophy ,  research approach ,  methods of data collection ,  data analysis  and  sampling  are explained in this e-book in simple words.

John Dudovskiy

[1] Saunders, M., Lewis, P. & Thornhill, A. (2012) “Research Methods for Business Students” 6 th  edition, Pearson Education Limited

[2] Source: Pride and Ferrell (2007)

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• GETTING STARTED
• Introduction
• FUNDAMENTALS

Getting to the main article

Choosing your route

Setting research questions/ hypotheses

Assessment point

Building the theoretical case

Setting your research strategy

Data collection

Data analysis

Research design

The quantitative research design that you set in your dissertation should reflect the type of research questions/hypotheses that you have set. When we talk about quantitative research designs, we are typically referring to research following either a descriptive , experimental , quasi-experimental and relationship-based research design, which we will return to shortly. However, there are also specific goals that you may want to achieve within these research designs. You may want to: (Goal A) explore whether there is a relationship between different variables; (Goal B) predict a score or a membership of a group; or (Goal C) find out the differences between groups you are interested in or treatment conditions that you want to investigate:

GOAL A Exploring the relationship between variables

Are you trying to determine if there is a relationship between two or more variables, and what this relationship is? This kind of design is used to answer questions such as: Is there a relationship between height and basketball performance? Are males more likely to be smokers than females? Does you level of anxiety reduce your exam ability?

GOAL B Predicting a score or a membership of a group

Are you trying to examine whether one variable's value (i.e., the dependent or outcome variable) can be predicted based on another's (i.e., the independent variable). These designs answer questions such as: Can I predict 10km run time based on an individual's aerobic capacity? Can I predict exam anxiety based on knowing the number of hours spent revising? Can I predict whether someone is classified as computer literate based on their performance in different computer tasks? Can I predict an individual's preferred transport (car/motorcycle) based on their response to a risk questionnaire?

GOAL C Testing for differences between groups or treatment conditions

Are you trying to test for differences between groups (e.g., exam performance of males and females) or treatment conditions (e.g., employee turnover among employees (a) given a bonus and (b) not given a bonus)? This type of design aims to answer questions such as: What is the difference in jump height between males and females? Can an exercise-training programme lead to a reduction in blood sugar levels? Do stressed males and females respond differently to different stress-reduction therapies? In each of these cases, we have different groups that we are comparing (e.g., males versus females), and we may also have different treatments (e.g., the example of multiple stress-reduction therapies).

Goals A and B reflect the use of relationship-based research questions/hypotheses, whilst goal C reflects the use of comparative research questions/hypotheses. Just remember that in addition to relating and comparing (i.e., relationship-based and comparative research questions/hypotheses), quantitative research can also be used to describe the phenomena we are interested in (i.e., descriptive research questions). These three basic approaches (i.e., describing , relating and comparing ) can be seen in the following example:

Let's imagine we are interested in examining Facebook usage amongst university students in the United States .

We could describe factors relating to the make-up of these Facebook users, quantifying how many (or what proportion) of these university students were male or female, or what their average age was. We could describe factors relating to their behaviour, such as how frequently they used Facebook each week or the reasons why they joined Facebook in the first place (e.g., to connect with friends, to store all their photos in one place, etc.).

We could compare some of these factors (i.e., those factors that we had just described). For example, we could compare how frequently the students used Facebook each week, looking for differences between male and female students.

We could relate one or more of these factors (e.g., age) to other factors we had examined (e.g., how frequently students used Facebook each week) to find out if there were any associations or relationships between them. For example, we could relate age to how frequently the students used Facebook each week. This could help us discover if there was an association or relationship between these variables (i.e., age and weekly Facebook usage), and if so, tell us something about this association or relationship (e.g., its strength, direction, and/or statistical significance).

These three approaches to examining the constructs you are interested in (i.e., describing , comparing and relating ) are addressed by setting descriptive research questions, and/or comparative or relationship-based research questions/hypotheses. By this stage, you should be very clear about the type of research questions/hypotheses you are addressing, but if you are unsure, refer back to the Research Questions & Hypotheses section of the Fundamentals part of Lærd Dissertation now.

If you are exploring the relationship between variables (i.e., Goal A ), you are likely to be following a relationship-based research design (i.e., a type of non-experimental research design). However, if you are predicting the score or a membership of a group (i.e., Goal B ) or testing for differences between groups or treatment conditions (i.e., Goal C ), you are likely to be following either an experimental or quasi-experimental research design. Unless you already understand the differences between experimental, quasi-experimental and relationship-based research designs, you should read about these different research designs in the Research Designs section of the Fundamentals part of Lærd Dissertation now. You need to do this for two main reasons:

You will have to state which type of research design you are using in your dissertation when writing up the Research Design section of your Chapter Three: Research Strategy .

The research design that you use has a significant influence on your choice of research methods , the research quality of your findings, and even aspects of research ethics that you will have to think about.

Once you are familiar with the four types of research design (i.e., descriptive, experimental, quasi-experimental and relationship-based), you need to think about the route that you are adopting, and the approach within that route in order to set the research design in your dissertation:

• ROUTE A: Duplication
• ROUTE B: Generalisation
• ROUTE C: Extension

Route A: Duplication

If you are taking on Route A: Duplication , you would typically not be expected to make any changes to the research design used in the main journal article when setting the research design for your dissertation. After all, the purpose of the dissertation is duplication , where you are, in effect, re-testing the study in the main journal article to see if the same (or similar) findings are found. An important aspect of such re-testing is typically the use of the same research strategy applied in the main journal article. As such, if an experimental research design was used in the main journal article, with 3 groups (e.g., two treatment groups and one control group), your dissertation would also use an experimental design with the same group characteristics (i.e., 3 groups, with two treatment groups and one control group). The research design you used would also have the same goals as those in the main journal article (e.g., the goal of relating two constructs, perhaps study time and exam performance, in order to answer a relationship-based research question/hypothesis).

However, there are some instances where, from a practical standpoint, you may find that it is not possible to use the same research design, perhaps because an experimental research design was used, but you are unable to randomly selected people from the population you can get access to, forcing you to use a quasi-experimenta l research design. But the goal will be to use the same research design in your dissertation as the one applied in the main journal article. Again, you can learn about the differences between experimental and quasi-experimental designs in the Research Designs section of the Fundamentals part of Lærd Dissertation.

Think of yourself as a member of a jury, listening to a lawyer who is presenting an opening argument. You'll want to know very soon whether the lawyer believes the accused to be guilty or not guilty, and how the lawyer plans to convince you. Readers of academic essays are like jury members: before they have read too far, they want to know what the essay argues as well as how the writer plans to make the argument. After reading your thesis statement, the reader should think, "This essay is going to try to convince me of something. I'm not convinced yet, but I'm interested to see how I might be."

An effective thesis cannot be answered with a simple "yes" or "no." A thesis is not a topic; nor is it a fact; nor is it an opinion. "Reasons for the fall of communism" is a topic. "Communism collapsed in Eastern Europe" is a fact known by educated people. "The fall of communism is the best thing that ever happened in Europe" is an opinion. (Superlatives like "the best" almost always lead to trouble. It's impossible to weigh every "thing" that ever happened in Europe. And what about the fall of Hitler? Couldn't that be "the best thing"?)

A good thesis has two parts. It should tell what you plan to argue, and it should "telegraph" how you plan to argue—that is, what particular support for your claim is going where in your essay.

Steps in Constructing a Thesis

First, analyze your primary sources.  Look for tension, interest, ambiguity, controversy, and/or complication. Does the author contradict himself or herself? Is a point made and later reversed? What are the deeper implications of the author's argument? Figuring out the why to one or more of these questions, or to related questions, will put you on the path to developing a working thesis. (Without the why, you probably have only come up with an observation—that there are, for instance, many different metaphors in such-and-such a poem—which is not a thesis.)

Once you have a working thesis, write it down.  There is nothing as frustrating as hitting on a great idea for a thesis, then forgetting it when you lose concentration. And by writing down your thesis you will be forced to think of it clearly, logically, and concisely. You probably will not be able to write out a final-draft version of your thesis the first time you try, but you'll get yourself on the right track by writing down what you have.

Keep your thesis prominent in your introduction.  A good, standard place for your thesis statement is at the end of an introductory paragraph, especially in shorter (5-15 page) essays. Readers are used to finding theses there, so they automatically pay more attention when they read the last sentence of your introduction. Although this is not required in all academic essays, it is a good rule of thumb.

Anticipate the counterarguments.  Once you have a working thesis, you should think about what might be said against it. This will help you to refine your thesis, and it will also make you think of the arguments that you'll need to refute later on in your essay. (Every argument has a counterargument. If yours doesn't, then it's not an argument—it may be a fact, or an opinion, but it is not an argument.)

This statement is on its way to being a thesis. However, it is too easy to imagine possible counterarguments. For example, a political observer might believe that Dukakis lost because he suffered from a "soft-on-crime" image. If you complicate your thesis by anticipating the counterargument, you'll strengthen your argument, as shown in the sentence below.

Some Caveats and Some Examples

A thesis is never a question.  Readers of academic essays expect to have questions discussed, explored, or even answered. A question ("Why did communism collapse in Eastern Europe?") is not an argument, and without an argument, a thesis is dead in the water.

A thesis is never a list.  "For political, economic, social and cultural reasons, communism collapsed in Eastern Europe" does a good job of "telegraphing" the reader what to expect in the essay—a section about political reasons, a section about economic reasons, a section about social reasons, and a section about cultural reasons. However, political, economic, social and cultural reasons are pretty much the only possible reasons why communism could collapse. This sentence lacks tension and doesn't advance an argument. Everyone knows that politics, economics, and culture are important.

A thesis should never be vague, combative or confrontational.  An ineffective thesis would be, "Communism collapsed in Eastern Europe because communism is evil." This is hard to argue (evil from whose perspective? what does evil mean?) and it is likely to mark you as moralistic and judgmental rather than rational and thorough. It also may spark a defensive reaction from readers sympathetic to communism. If readers strongly disagree with you right off the bat, they may stop reading.

An effective thesis has a definable, arguable claim.  "While cultural forces contributed to the collapse of communism in Eastern Europe, the disintegration of economies played the key role in driving its decline" is an effective thesis sentence that "telegraphs," so that the reader expects the essay to have a section about cultural forces and another about the disintegration of economies. This thesis makes a definite, arguable claim: that the disintegration of economies played a more important role than cultural forces in defeating communism in Eastern Europe. The reader would react to this statement by thinking, "Perhaps what the author says is true, but I am not convinced. I want to read further to see how the author argues this claim."

A thesis should be as clear and specific as possible.  Avoid overused, general terms and abstractions. For example, "Communism collapsed in Eastern Europe because of the ruling elite's inability to address the economic concerns of the people" is more powerful than "Communism collapsed due to societal discontent."

Copyright 1999, Maxine Rodburg and The Tutors of the Writing Center at Harvard University

HOW TO WRITE A THESIS: Steps by step guide

Introduction

In the academic world, one of the hallmark rites signifying mastery of a course or academic area is the writing of a thesis . Essentially a thesis is a typewritten work, usually 50 to 350 pages in length depending on institutions, discipline, and educational level which is often aimed at addressing a particular problem in a given field.

While a thesis is inadequate to address all the problems in a given field, it is succinct enough to address a specialized aspect of the problem by taking a stance or making a claim on what the resolution of the problem should be. Writing a thesis can be a very daunting task because most times it is the first complex research undertaking for the student. The lack of research and writing skills to write a thesis coupled with fear and a limited time frame are factors that makes the writing of a thesis daunting. However, commitment to excellence on the part of the student combined with some of the techniques and methods that will be discussed below gives a fair chance that the student will be able to deliver an excellent thesis regardless of the subject area, the depth of the research specialization and the daunting amount of materials that must be comprehended(RE: write a thesis or writing a thesis).

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What is a thesis?

A thesis is a statement, theory, argument, proposal or proposition, which is put forward as a premise to be maintained or proved. It explains the stand someone takes on an issue and how the person intends to justify the stand. It is always better to pick a topic that will be able to render professional help, a topic that you will be happy to talk about with anybody, a topic you have personal interest and passion for, because when writing a thesis gets frustrating personal interest, happiness and passion coupled with the professional help it will be easier to write a great thesis (see you through the thesis). One has to source for a lot of information concerning the topic one is writing a thesis on in order to know the important question, because for you to take a good stand on an issue you have to study the evidence first.

Qualities of a good thesis

A good thesis has the following qualities

• A good thesis must solve an existing problem in the society, organisation, government among others.
• A good thesis should be contestable, it should propose a point that is arguable which people can agree with or disagree.
• It is specific, clear and focused.
•   A good thesis does not use general terms and abstractions.  
• The claims of a good thesis should be definable and arguable.
• It anticipates the counter-argument s
• It does not use unclear language
• It avoids the first person. (“In my opinion”)
• A strong thesis should be able to take a stand and not just taking a stand but should be able to justify the stand that is taken, so that the reader will be tempted to ask questions like how or why.
• The thesis should be arguable, contestable, focused, specific, and clear. Make your thesis clear, strong and easy to find.
• The conclusion of a thesis should be based on evidence.

Steps in writing a Thesis

• First, think about good topics and theories that you can write before writing the thesis, then pick a topic. The topic or thesis statement is derived from a review of existing literature in the area of study that the researcher wants to explore. This route is taken when the unknowns in an area of study are not yet defined. Some areas of study have existing problems yearning to be solved and the drafting of the thesis topic or statement revolves around a selection of one of these problems.
• Once you have a good thesis, put it down and draw an outline . The outline is like a map of the whole thesis and it covers more commonly the introduction, literature review, discussion of methodology, discussion of results and the thesis’ conclusions and recommendations. The outline might differ from one institution to another but the one described in the preceding sentence is what is more commonly obtainable. It is imperative at this point to note that the outline drew still requires other mini- outlines for each of the sections mentioned. The outlines and mini- outlines provide a graphical over- view of the whole project and can also be used in allocating the word- count for each section and sub- section based on the overall word- count requirement of the thesis(RE: write a thesis or writing a thesis).
• Literature search. Remember to draw a good outline you need to do literature search to familiarize yourself with the concepts and the works of others. Similarly, to achieve this, you need to read as much material that contains necessary information as you can. There will always be a counter argument for everything so anticipate it because it will help shape your thesis. Read everything you can–academic research, trade literature, and information in the popular press and on the Internet(RE: write a thesis or writing a thesis).
• After getting all the information you need, the knowledge you gathered should help in suggesting the aim of your thesis.

Remember; a thesis is not supposed to be a question or a list, thesis should specific and as clear as possible. The claims of a thesis should be definable and also arguable.

• Then collecting and analyzing data, after data analysis, the result of the analysis should be written and discussed, followed by summary, conclusion, recommendations, list of references and the appendices
• The last step is editing of the thesis and proper spell checking.

Structure of a Thesis

A conventional thesis has five chapters – chapter 1-5 which will be discussed in detail below. However, it is important to state that a thesis is not limited to any chapter or section as the case may be. In fact, a thesis can be five, six, seven or even eight chapters.  What determines the number of chapters in a thesis includes institution rules/ guideline, researcher choice, supervisor choice, programme or educational level. In fact, most PhD thesis are usually more than 5 chapters(RE: write a thesis or writing a thesis).

Preliminaries Pages: The preliminaries are the cover page, the title page, the table of contents page, and the abstract.

The introduction: The introduction is the first section and it provides as the name implies an introduction to the thesis. The introduction contains such aspects as the background to the study which provides information on the topic in the context of what is happening in the world as related to the topic. It also discusses the relevance of the topic to society, policies formulated success and failure. The introduction also contains the statement of the problem which is essentially a succinct description of the problem that the thesis want to solve and what the trend will be if the problem is not solved. The concluding part of the statement of problem ends with an outline of the research questions. These are the questions which when answered helps in achieving the aim of the thesis. The third section is the outline of research objectives. Conventionally research objectives re a conversion the research questions into an active statement form. Other parts of the introduction are a discussion of hypotheses (if any), the significance of the study, delimitations, proposed methodology and a discussion of the structure of the study(RE: write a thesis or writing a thesis).

The main body includes the following; the literature review, methodology, research results and discussion of the result, the summary, conclusion and recommendations, the list of references and the appendices.

The literature review : The literature review is often the most voluminous aspects of a thesis because it reviews past empirical and theoretical literature about the problem being studied. This section starts by discussing the concepts relevant to the problem as indicated in the topic, the relationship between the concepts and what discoveries have being made on topic based on the choice of methodologies. The validity of the studies reviewed are questioned and findings are compared in order to get a comprehensive picture of the problem. The literature review also discusses the theories and theoretical frameworks that are relevant to the problem, the gaps that are evident in literature and how the thesis being written helps in resolving some of the gaps.

The major importance of Literature review is that it specifies the gap in the existing knowledge (gap in literature). The source of the literature that is being reviewed should be specified. For instance; ‘It has been argued that if the rural youth are to be aware of their community development role they need to be educated’ Effiong, (1992). The author’s name can be at the beginning, end or in between the literature. The literature should be discussed and not just stated (RE: write a thesis or writing a thesis).

The methodology: The third section is a discussion of the research methodology adopted in the thesis and touches on aspects such as the research design, the area, population and sample that will be considered for the study as well as the sampling procedure. These aspects are discussed in terms of choice, method and rationale. This section also covers the sub- section of data collection, data analysis and measures of ensuring validity of study. It is the chapter 3. This chapter explains the method used in data collection and data analysis. It explains the methodology adopted and why it is the best method to be used, it also explains every step of data collection and analysis. The data used could be primary data or secondary data. While analysing the data, proper statistical tool should be used in order to fit the stated objectives of the thesis. The statistical tool could be; the spearman rank order correlation, chi square, analysis of variance (ANOVA) etc (RE: write a thesis or writing a thesis).

The findings and discussion of result : The next section is a discussion of findings based on the data collection instrumentation used and the objectives or hypotheses of study if any. It is the chapter 4. It is research results. This is the part that describes the research. It shows the result gotten from data that is collected and analysed. It discusses the result and how it relates to your profession.

Summary, Conclusion and Recommendation: This is normally the chapter 5. The last section discusses the summary of the study and the conclusions arrived at based on the findings discussed in the previous section. This section also presents any policy recommendations that the researcher wants to propose (RE: write a thesis or writing a thesis).

References: It cite all ideas, concepts, text, data that are not your own. It is acceptable to put the initials of the individual authors behind their last names. The way single author is referenced is different from the way more than one author is referenced (RE: write a thesis or writing a thesis).

The appendices; it includes all data in the appendix. Reference data or materials that is not easily available. It includes tables and calculations, List of equipment used for an experiment or details of complicated procedures. If a large number of references are consulted but all are not cited, it may also be included in the appendix. The appendices also contain supportive or complementary information like the questionnaire, the interview schedule, tables and charts while the references section contain an ordered list of all literature, academic and contemporary cited in the thesis. Different schools have their own preferred referencing styles(RE: write a thesis or writing a thesis).   

Follow the following steps to achieve successful thesis writing

Start writing early. Do not delay writing until you have finished your project or research. Write complete and concise “Technical Reports” as and when you finish each nugget of work. This way, you will remember everything you did and document it accurately, when the work is still fresh in your mind. This is especially so if your work involves programming.

Spot errors early. A well-written “Technical Report” will force you to think about what you have done, before you move on to something else. If anything is amiss, you will detect it at once and can easily correct it, rather than have to re-visit the work later, when you may be pressured for time and have lost touch with it.

Write your thesis from the inside out. Begin with the chapters on your own experimental work. You will develop confidence in writing them because you know your own work better than anyone else. Once you have overcome the initial inertia, move on to the other chapters.

End with a bang, not a whimper. First things first, and save the best for last. First and last impressions persist. Arrange your chapters so that your first and last experimental chapters are sound and solid.

Write the Introduction after writing the Conclusions. The examiner will read the Introduction first, and then the Conclusions, to see if the promises made in the former are indeed fulfilled in the latter. Ensure that your introduction and Conclusions match.

“No man is an Island”. The critical review of the literature places your work in context. Usually, one third of the PhD thesis is about others’ work; two thirds, what you have done yourself. After a thorough and critical literature review, the PhD candidate must be able to identify the major researchers in the field and make a sound proposal for doctoral research. Estimate the time to write your thesis and then multiply it by three to get the correct estimate. Writing at one stretch is very demanding and it is all too easy to underestimate the time required for it; inflating your first estimate by a factor of three is more realistic.

Punctuating your thesis

Punctuation Good punctuation makes reading easy. The simplest way to find out where to punctuate is to read aloud what you have written. Each time you pause, you should add a punctuation symbol. There are four major pause symbols, arranged below in ascending order of “degree of pause”:

• Comma. Use the comma to indicate a short pause or to separate items in a list. A pair of commas may delimit the beginning and end of a subordinate clause or phrase. Sometimes, this is also done with a pair of “em dashes” which are printed like this:
• Semi-colon. The semi-colon signifies a longer pause than the comma. It separates segments of a sentence that are “further apart” in position, or meaning, but which are nevertheless related. If the ideas were “closer together”, a comma would have been used. It is also used to separate two clauses that may stand on their own but which are too closely related for a colon or full stop to intervene between them.
• Colon. The colon is used before one or more examples of a concept, and whenever items are to be listed in a visually separate fashion. The sentence that introduced the itemized list you are now reading ended in a colon. It may also be used to separate two fairly—but not totally—independent clauses in a sentence.
• Full stop or period. The full stop ends a sentence. If the sentence embodies a question or an exclamation, then, of course, it is ended with a question mark or exclamation mark, respectively. The full stop is also used to terminate abbreviations like etc., (for et cetera), e.g., (for exempli gratia), et al., (for et alia) etc., but not with abbreviations for SI units. The readability of your writing will improve greatly if you take the trouble to learn the basic rules of punctuation given above.

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Chapter 3 Research Design and Methodology

• October 2019
• Thesis for: Master of Arts in Teaching

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Home » Thesis – Structure, Example and Writing Guide

Thesis – Structure, Example and Writing Guide

Table of contents.

Definition:

Thesis is a scholarly document that presents a student’s original research and findings on a particular topic or question. It is usually written as a requirement for a graduate degree program and is intended to demonstrate the student’s mastery of the subject matter and their ability to conduct independent research.

History of Thesis

The concept of a thesis can be traced back to ancient Greece, where it was used as a way for students to demonstrate their knowledge of a particular subject. However, the modern form of the thesis as a scholarly document used to earn a degree is a relatively recent development.

The origin of the modern thesis can be traced back to medieval universities in Europe. During this time, students were required to present a “disputation” in which they would defend a particular thesis in front of their peers and faculty members. These disputations served as a way to demonstrate the student’s mastery of the subject matter and were often the final requirement for earning a degree.

In the 17th century, the concept of the thesis was formalized further with the creation of the modern research university. Students were now required to complete a research project and present their findings in a written document, which would serve as the basis for their degree.

The modern thesis as we know it today has evolved over time, with different disciplines and institutions adopting their own standards and formats. However, the basic elements of a thesis – original research, a clear research question, a thorough review of the literature, and a well-argued conclusion – remain the same.

Structure of Thesis

The structure of a thesis may vary slightly depending on the specific requirements of the institution, department, or field of study, but generally, it follows a specific format.

Here’s a breakdown of the structure of a thesis:

This is the first page of the thesis that includes the title of the thesis, the name of the author, the name of the institution, the department, the date, and any other relevant information required by the institution.

This is a brief summary of the thesis that provides an overview of the research question, methodology, findings, and conclusions.

This page provides a list of all the chapters and sections in the thesis and their page numbers.

Introduction

This chapter provides an overview of the research question, the context of the research, and the purpose of the study. The introduction should also outline the methodology and the scope of the research.

Literature Review

This chapter provides a critical analysis of the relevant literature on the research topic. It should demonstrate the gap in the existing knowledge and justify the need for the research.

Methodology

This chapter provides a detailed description of the research methods used to gather and analyze data. It should explain the research design, the sampling method, data collection techniques, and data analysis procedures.

This chapter presents the findings of the research. It should include tables, graphs, and charts to illustrate the results.

This chapter interprets the results and relates them to the research question. It should explain the significance of the findings and their implications for the research topic.

This chapter summarizes the key findings and the main conclusions of the research. It should also provide recommendations for future research.

This section provides a list of all the sources cited in the thesis. The citation style may vary depending on the requirements of the institution or the field of study.

This section includes any additional material that supports the research, such as raw data, survey questionnaires, or other relevant documents.

How to write Thesis

Here are some steps to help you write a thesis:

• Choose a Topic: The first step in writing a thesis is to choose a topic that interests you and is relevant to your field of study. You should also consider the scope of the topic and the availability of resources for research.
• Develop a Research Question: Once you have chosen a topic, you need to develop a research question that you will answer in your thesis. The research question should be specific, clear, and feasible.
• Conduct a Literature Review: Before you start your research, you need to conduct a literature review to identify the existing knowledge and gaps in the field. This will help you refine your research question and develop a research methodology.
• Develop a Research Methodology: Once you have refined your research question, you need to develop a research methodology that includes the research design, data collection methods, and data analysis procedures.
• Collect and Analyze Data: After developing your research methodology, you need to collect and analyze data. This may involve conducting surveys, interviews, experiments, or analyzing existing data.
• Write the Thesis: Once you have analyzed the data, you need to write the thesis. The thesis should follow a specific structure that includes an introduction, literature review, methodology, results, discussion, conclusion, and references.
• Edit and Proofread: After completing the thesis, you need to edit and proofread it carefully. You should also have someone else review it to ensure that it is clear, concise, and free of errors.
• Submit the Thesis: Finally, you need to submit the thesis to your academic advisor or committee for review and evaluation.

Example of Thesis

Example of Thesis template for Students:

Title of Thesis

Table of Contents:

Chapter 1: Introduction

Chapter 2: Literature Review

Chapter 3: Research Methodology

Chapter 4: Results

Chapter 5: Discussion

Chapter 6: Conclusion

References:

Appendices:

Note: That’s just a basic template, but it should give you an idea of the structure and content that a typical thesis might include. Be sure to consult with your department or supervisor for any specific formatting requirements they may have. Good luck with your thesis!

Application of Thesis

Thesis is an important academic document that serves several purposes. Here are some of the applications of thesis:

• Academic Requirement: A thesis is a requirement for many academic programs, especially at the graduate level. It is an essential component of the evaluation process and demonstrates the student’s ability to conduct original research and contribute to the knowledge in their field.
• Career Advancement: A thesis can also help in career advancement. Employers often value candidates who have completed a thesis as it demonstrates their research skills, critical thinking abilities, and their dedication to their field of study.
• Publication : A thesis can serve as a basis for future publications in academic journals, books, or conference proceedings. It provides the researcher with an opportunity to present their research to a wider audience and contribute to the body of knowledge in their field.
• Personal Development: Writing a thesis is a challenging task that requires time, dedication, and perseverance. It provides the student with an opportunity to develop critical thinking, research, and writing skills that are essential for their personal and professional development.
• Impact on Society: The findings of a thesis can have an impact on society by addressing important issues, providing insights into complex problems, and contributing to the development of policies and practices.

Purpose of Thesis

The purpose of a thesis is to present original research findings in a clear and organized manner. It is a formal document that demonstrates a student’s ability to conduct independent research and contribute to the knowledge in their field of study. The primary purposes of a thesis are:

• To Contribute to Knowledge: The main purpose of a thesis is to contribute to the knowledge in a particular field of study. By conducting original research and presenting their findings, the student adds new insights and perspectives to the existing body of knowledge.
• To Demonstrate Research Skills: A thesis is an opportunity for the student to demonstrate their research skills. This includes the ability to formulate a research question, design a research methodology, collect and analyze data, and draw conclusions based on their findings.
• To Develop Critical Thinking: Writing a thesis requires critical thinking and analysis. The student must evaluate existing literature and identify gaps in the field, as well as develop and defend their own ideas.
• To Provide Evidence of Competence : A thesis provides evidence of the student’s competence in their field of study. It demonstrates their ability to apply theoretical concepts to real-world problems, and their ability to communicate their ideas effectively.
• To Facilitate Career Advancement : Completing a thesis can help the student advance their career by demonstrating their research skills and dedication to their field of study. It can also provide a basis for future publications, presentations, or research projects.

When to Write Thesis

The timing for writing a thesis depends on the specific requirements of the academic program or institution. In most cases, the opportunity to write a thesis is typically offered at the graduate level, but there may be exceptions.

Generally, students should plan to write their thesis during the final year of their graduate program. This allows sufficient time for conducting research, analyzing data, and writing the thesis. It is important to start planning the thesis early and to identify a research topic and research advisor as soon as possible.

In some cases, students may be able to write a thesis as part of an undergraduate program or as an independent research project outside of an academic program. In such cases, it is important to consult with faculty advisors or mentors to ensure that the research is appropriately designed and executed.

It is important to note that the process of writing a thesis can be time-consuming and requires a significant amount of effort and dedication. It is important to plan accordingly and to allocate sufficient time for conducting research, analyzing data, and writing the thesis.

Characteristics of Thesis

The characteristics of a thesis vary depending on the specific academic program or institution. However, some general characteristics of a thesis include:

• Originality : A thesis should present original research findings or insights. It should demonstrate the student’s ability to conduct independent research and contribute to the knowledge in their field of study.
• Clarity : A thesis should be clear and concise. It should present the research question, methodology, findings, and conclusions in a logical and organized manner. It should also be well-written, with proper grammar, spelling, and punctuation.
• Research-Based: A thesis should be based on rigorous research, which involves collecting and analyzing data from various sources. The research should be well-designed, with appropriate research methods and techniques.
• Evidence-Based : A thesis should be based on evidence, which means that all claims made in the thesis should be supported by data or literature. The evidence should be properly cited using appropriate citation styles.
• Critical Thinking: A thesis should demonstrate the student’s ability to critically analyze and evaluate information. It should present the student’s own ideas and arguments, and engage with existing literature in the field.
• Academic Style : A thesis should adhere to the conventions of academic writing. It should be well-structured, with clear headings and subheadings, and should use appropriate academic language.

Advantages of Thesis

There are several advantages to writing a thesis, including:

• Development of Research Skills: Writing a thesis requires extensive research and analytical skills. It helps to develop the student’s research skills, including the ability to formulate research questions, design and execute research methodologies, collect and analyze data, and draw conclusions based on their findings.
• Contribution to Knowledge: Writing a thesis provides an opportunity for the student to contribute to the knowledge in their field of study. By conducting original research, they can add new insights and perspectives to the existing body of knowledge.
• Preparation for Future Research: Completing a thesis prepares the student for future research projects. It provides them with the necessary skills to design and execute research methodologies, analyze data, and draw conclusions based on their findings.
• Career Advancement: Writing a thesis can help to advance the student’s career. It demonstrates their research skills and dedication to their field of study, and provides a basis for future publications, presentations, or research projects.
• Personal Growth: Completing a thesis can be a challenging and rewarding experience. It requires dedication, hard work, and perseverance. It can help the student to develop self-confidence, independence, and a sense of accomplishment.

Limitations of Thesis

There are also some limitations to writing a thesis, including:

• Time and Resources: Writing a thesis requires a significant amount of time and resources. It can be a time-consuming and expensive process, as it may involve conducting original research, analyzing data, and producing a lengthy document.
• Narrow Focus: A thesis is typically focused on a specific research question or topic, which may limit the student’s exposure to other areas within their field of study.
• Limited Audience: A thesis is usually only read by a small number of people, such as the student’s thesis advisor and committee members. This limits the potential impact of the research findings.
• Lack of Real-World Application : Some thesis topics may be highly theoretical or academic in nature, which may limit their practical application in the real world.
• Pressure and Stress : Writing a thesis can be a stressful and pressure-filled experience, as it may involve meeting strict deadlines, conducting original research, and producing a high-quality document.
• Potential for Isolation: Writing a thesis can be a solitary experience, as the student may spend a significant amount of time working independently on their research and writing.

About the author

Muhammad Hassan

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Writing The Methodology Chapter

5 Time-Saving Tips & Tools

By: David Phair (PhD) and Amy Murdock (PhD) | July 2022

The methodology chapter is a crucial part of your dissertation or thesis – it’s where you provide context and justification for your study’s design. This in turn demonstrates your understanding of research theory, which is what earns you marks .

Over the years, we’ve helped thousands of students navigate this tricky section of the research process. In this post, we’ll share 5 time-saving tips to help you effectively write up your research methodology chapter .

Overview: Writing The Methodology Chapter

• Develop a (rough) outline before you start writing
• Draw inspiration from similar studies in your topic area
• Justify every research design choice that you make
• Err on the side of too much detail , rather than too little
• Back up every design choice by referencing literature

1. Develop an outline before you start writing 

The first thing to keep in mind when writing your methodology chapter (and the rest of your dissertation) is that it’s always a good idea to sketch out a rough outline of what you are going to write about before you start writing . This will ensure that you stay focused and have a clear structural logic – thereby making the writing process simpler and faster.

An easy method of finding a structure for this chapter is to use frameworks that already exist, such as Saunder’s “ research onion ” as an example. Alternatively, there are many free methodology chapter templates for you to use as a starting point, so don’t feel like you have to create a new one from scratch.

Next, you’ll want to consider what your research approach is , and how you can break it down from a top-down angle, i.e., from the philosophical down to the concrete/tactical level. For example, you’ll need to articulate the following:  

• Are you using a positivist , interpretivist , or pragmatist approach ?
• Are you using inductive or deductive reasoning?
• Are you using a qualitative , quantitative, or mixed methods study?

Keep these questions front of mind to ensure that you have a clear, well-aligned line of argument that will maintain your chapter’s internal and external consistency.

Remember, it’s okay if you feel overwhelmed when you first start the methodology chapter. Nobody is born with an innate knowledge of how to do this, so be prepared for the learning curve associated with new research projects. It’s no small task to write up a dissertation or thesis, so be kind to yourself!

2. Take inspiration from other studies 

Generally, there are plenty of existing journal articles that will share similar methodological approaches to your study. With any luck, there will also be existing dissertations and theses that adopt a similar methodological approach and topic. So, consider taking inspiration from these studies to help curate the contents of your methodology chapter.

Students often find it difficult to choose what content to include in the methodology chapter and what to leave for the appendix. By reviewing other studies with similar approaches, you will get a clearer sense of your discipline’s norms and characteristics . This will help you, especially in terms of deciding on the structure and depth of discussion.  

While you can draw inspiration from other studies, remember that it’s vital to pay close attention to your university’s specific guidelines, so you can anticipate departmental expectations of this section’s layout and content (and make it easier to work with your supervisor). Doing this is also a great way to figure out how in-depth your discussion should be. For example, word-count guidelines can help you decide whether to include or omit certain information.

Need a helping hand?

3. Justify every design choice you make

The golden rule of the methodology chapter is that you need to justify each and every design choice that you make, no matter how small or inconsequential it may seem. We often see that students merely state what they did instead of why they did what they did – and this costs them marks.

Keep in mind that you need to illustrate the strength of your study’s methodological foundation. By discussing the “what”, “why” and “how” of your choices, you demonstrate your understanding of research design and simultaneously justify the relevancy and efficacy of your methodology – both of which will earn you marks.

It’s never an easy task to conduct research. So, it’s seldom the case that you’ll be able to use the very best possible methodology for your research (e.g. due to time or budgetary constraints ). That’s okay – but make sure that you explain and justify your use of an alternate methodology to help justify your approach.

Ultimately, if you don’t justify and explain the logic behind each of your choices, your marker will have to assume that you simply didn’t know any better . So, make sure that you justify every choice, especially when it is a subpar choice (due to a practical constraint, for example). You can see an example of how this is done here.

4. Err on the side of too much detail

We often see a tendency in students to mistakenly give more of an overview of their methodology instead of a step-by-step breakdown . Since the methodology chapter needs to be detailed enough for another researcher to replicate your study, your chapter should be particularly granular in terms of detail. 

Whether you’re doing a qualitative or quantitative study, it’s crucial to convey rigor in your research. You can do this by being especially detailed when you discuss your data, so be absolutely clear about your:  

• Sampling strategy
• Data collection method(s)
• Data preparation
• Analysis technique(s)

As you will likely face an extensive period of editing at your supervisor/reviewer’s direction, you’ll make it much easier for yourself if you have more information than you’d need. Some supervisors expect extensive detail around a certain aspect of your dissertation (like your research philosophy), while others may not expect it at all.

Remember, it’s quicker and easier to remove/ trim down information than it is to add information after the fact, so take the time to show your supervisor that you know what you’re talking about (methodologically) and you’re doing your best to be rigorous in your research.

5. Provide citations to support each design choice

Related to the issue of poor justification (tip #3), it’s important include high-quality academic citations to support the justification of your design choices. In other words, it’s not enough to simply explain why you chose a specific approach – you need to support each justification with reference to academic material.  

Simply put, you should avoid thinking of your methodology chapter as a citation-less section in your dissertation. As with your literature review, your methods section must include citations for every decision you make, since you are building on prior research.  You must show that you are making decisions based on methods that are proven to be effective, and not just because you “feel” that they are effective.

When considering the source of your citations, you should stick to peer-reviewed academic papers and journals and avoid using websites or blog posts (like us, hehe). Doing this will demonstrate that you are familiar with the literature and that you are factoring in what credible academics have to say about your methodology.

As a final tip, it’s always a good idea to cite as you go . If you leave this for the end, then you’ll end up spending a lot of precious time retracing your steps to find your citations and risk losing track of them entirely. So, be proactive and drop in those citations as you write up . You’ll thank yourself later!

Let’s Recap…

In this post, we covered 5 time-saving tips for writing up the methodology chapter:

• Look at similar studies in your topic area
• Justify every design choice that you make
• Back up every design choice by referencing methodology literature

If you’ve got any questions relating to the methodology chapter, feel free to drop a comment below. Alternatively, if you’re interested in getting 1-on-1 help with your thesis or dissertation, be sure to check out our private coaching service .

Psst... there’s more!

This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

What data analysis method can work best for my study. I am using a mixed method in the study. I am developing a framework to address the challenges faced by the taxi operators as entrepreneurs. I will need to analyse both using qualitative and quantitative.

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Reference management. Clean and simple.

How to structure a thesis

A typical thesis structure

1. abstract, 2. introduction, 3. literature review, 6. discussion, 7. conclusion, 8. reference list, frequently asked questions about structuring a thesis, related articles.

Starting a thesis can be daunting. There are so many questions in the beginning:

• How do you actually start your thesis?
• How do you structure it?
• What information should the individual chapters contain?

Each educational program has different demands on your thesis structure, which is why asking directly for the requirements of your program should be a first step. However, there is not much flexibility when it comes to structuring your thesis.

Abstract : a brief overview of your entire thesis.

Literature review : an evaluation of previous research on your topic that includes a discussion of gaps in the research and how your work may fill them.

Methods : outlines the methodology that you are using in your research.

Thesis : a large paper, or multi-chapter work, based on a topic relating to your field of study.

The abstract is the overview of your thesis and generally very short. This section should highlight the main contents of your thesis “at a glance” so that someone who is curious about your work can get the gist quickly. Take a look at our guide on how to write an abstract for more info.

Tip: Consider writing your abstract last, after you’ve written everything else.

The introduction to your thesis gives an overview of its basics or main points. It should answer the following questions:

• Why is the topic being studied?
• How is the topic being studied?
• What is being studied?

In answering the first question, you should know what your personal interest in this topic is and why it is relevant. Why does it matter?

To answer the "how", you should briefly explain how you are going to reach your research goal. Some prefer to answer that question in the methods chapter, but you can give a quick overview here.

And finally, you should explain "what" you are studying. You can also give background information here.

You should rewrite the introduction one last time when the writing is done to make sure it connects with your conclusion. Learn more about how to write a good thesis introduction in our thesis introduction guide .

A literature review is often part of the introduction, but it can be a separate section. It is an evaluation of previous research on the topic showing that there are gaps that your research will attempt to fill. A few tips for your literature review:

• Use a wide array of sources
• Show both sides of the coin
• Make sure to cover the classics in your field
• Present everything in a clear and structured manner

For more insights on lit reviews, take a look at our guide on how to write a literature review .

The methodology chapter outlines which methods you choose to gather data, how the data is analyzed and justifies why you chose that methodology . It shows how your choice of design and research methods is suited to answering your research question.

Make sure to also explain what the pitfalls of your approach are and how you have tried to mitigate them. Discussing where your study might come up short can give you more credibility, since it shows the reader that you are aware of its limitations.

Tip: Use graphs and tables, where appropriate, to visualize your results.

The results chapter outlines what you found out in relation to your research questions or hypotheses. It generally contains the facts of your research and does not include a lot of analysis, because that happens mostly in the discussion chapter.

Clearly visualize your results, using tables and graphs, especially when summarizing, and be consistent in your way of reporting. This means sticking to one format to help the reader evaluate and compare the data.

The discussion chapter includes your own analysis and interpretation of the data you gathered , comments on your results and explains what they mean. This is your opportunity to show that you have understood your findings and their significance.

Point out the limitations of your study, provide explanations for unexpected results, and note any questions that remain unanswered.

This is probably your most important chapter. This is where you highlight that your research objectives have been achieved. You can also reiterate any limitations to your study and make suggestions for future research.

Remember to check if you have really answered all your research questions and hypotheses in this chapter. Your thesis should be tied up nicely in the conclusion and show clearly what you did, what results you got, and what you learned. Discover how to write a good conclusion in our thesis conclusion guide .

At the end of your thesis, you’ll have to compile a list of references for everything you’ve cited above. Ideally, you should keep track of everything from the beginning. Otherwise, this could be a mammoth and pretty laborious task to do.

Consider using a reference manager like Paperpile to format and organize your citations. Paperpile allows you to organize and save your citations for later use and cite them in thousands of citation styles directly in Google Docs, Microsoft Word, or LaTeX:

🔲 Introduction

🔲 Literature review

🔲 Discussion

🔲 Conclusion

🔲 Reference list

The basic elements of a thesis are: Abstract, Introduction, Literature Review, Methods, Results, Discussion, Conclusion, and Reference List.

It's recommended to start a thesis by writing the literature review first. This way you learn more about the sources, before jumping to the discussion or any other element.

It's recommended to write the abstract of a thesis last, once everything else is done. This way you will be able to provide a complete overview of your work.

Usually, the discussion is the longest part of a thesis. In this part you are supposed to point out the limitations of your study, provide explanations for unexpected results, and note any questions that remain unanswered.

The order of the basic elements of a thesis are: 1. Abstract, 2. Introduction, 3. Literature Review, 4. Methods, 5. Results, 6. Discussion, 7. Conclusion, and 8. Reference List.

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How to Write a Research Proposal That Gets Noticed

Crafting a compelling research proposal is a critical step in securing funding and gaining approval for your research project. Whether you’re applying for a grant , seeking institutional support, or aiming to publish your research, a well-written proposal can make all the difference. This article offers actionable tips on writing a research proposal that captures attention and meets reviewers' expectations.

1. Understand the Requirements

Before you start writing, thoroughly review the guidelines provided by the funding body or institution. Each organization may have specific requirements regarding format, content, and length. Adhering to these guidelines is essential for a successful proposal. Familiarize yourself with the review criteria and ensure that your proposal addresses each requirement comprehensively ( National Center for Biotechnology Information ).

2. Craft a Strong, Persuasive Argument

Your proposal needs to clearly articulate why your research is important and how it will contribute to the field. Start with a compelling introduction that outlines the problem or gap in knowledge your research aims to address. Use evidence and data to support your claims, and explain how your research will provide a solution or new insights. Make sure to include:

• Research Question: Define a clear and focused research question that guides your study.
• Significance: Explain the significance of your research and its potential impact on the field.
• Objectives: Outline specific objectives and goals of your research ( McGill University ).

3. Design a Methodologically Sound Approach

Reviewers will scrutinize your proposed methodology to ensure that it is robust and feasible. Provide a detailed description of your research design, including:

• Research Methods: Describe the methods you will use to collect and analyze data.
• Justification: Justify your choice of methods and explain why they are the most appropriate for your research question.
• Timeline: Include a realistic timeline for completing the research and achieving your objectives ( Johns Hopkins University ).

4. Demonstrate Feasibility

Reviewers need to be confident that your research can be completed within the proposed timeframe and budget. Provide evidence of your capability to conduct the research, including:

• Resources: Detail the resources and facilities available to you.
• Budget: Present a clear and reasonable budget that outlines how the funding will be allocated.
• Expertise: Highlight your qualifications and experience related to the research ( University of Westminster ).

5. Write Clearly and Persuasively

Effective writing is crucial to a successful proposal . Your proposal should be well-organized and free of jargon. Use clear, concise language and avoid unnecessary complexity. Follow these writing tips:

• Structure: Use headings and subheadings to organize your content logically.
• Clarity: Ensure that your writing is clear and that your arguments are well-supported. Consider using professional editorial services, like those offered by eContent Pro, to polish your proposal and enhance its chances of acceptance.
• Proofreading:

6. Incorporate Feedback

Before submitting, seek feedback from colleagues, mentors, or advisors. They can provide valuable insights and help you identify any weaknesses or areas for improvement. Revise your proposal based on their suggestions to enhance its quality ( University of Birmingham ).

7. Highlight Innovation

Showcase the innovative aspects of your research. Emphasize how your project differs from existing studies and what new knowledge or approaches it will bring to the field. Demonstrating innovation can set your proposal apart from others ( Yale College ).

Final Thoughts

Writing a research proposal that stands out requires a strategic approach, clear writing, and a thorough understanding of the review process. By addressing these key elements and following best practices, you can create a proposal that captures the attention of reviewers and increases your chances of success. For further guidance, refer to resources and tips from trusted institutions and experts ( University of New Hampshire ).

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• School of Arts & Sciences
• College of Arts & Sciences
• Graduate Division

• Senior Honors Thesis
• Undergraduate Programs
• Research & Study Abroad

The information on this page applies to all HSOC majors in the class of 2025 and beyond.

A senior honors thesis in the Health & Societies major is a substantial independent research project completed over the course of a year (or two consecutive semesters).  The honors thesis is an analytical research essay of 12,500-20,000 words, plus bibliography, that is researched and written under supervision of an advisor, during the fall or spring of the senior year after completion of an HSOC capstone course. Students who successfully complete all the requirements will earn the distinction of “honors” upon graduating from Penn.

For information on eligibility, application requirements, and the honors thesis process, please read the information on this page in full.

Health & Societies (HSOC) Senior Honors Thesis

A senior honors thesis in the Health and Societies (HSOC) major is a substantial independent research project completed over the course of a year (or two consecutive semesters) – during the fall or spring of the senior year, after completion of an HSOC capstone course. This thesis, or analytical research essay, must be researched and written under supervision of an advisor and should be 12,500 to 20,000 words, plus bibliography. An appropriate thesis will be historically grounded and may use historical, anthropological, and/or sociological methods and approaches. For this reason, students must have an advisor in the HSSC department but may also have a co-advisor in another department*. Students who successfully complete all the requirements will earn the distinction of “honors” upon graduating from Penn.

All students who wish to write an honors thesis must first complete a capstone research paper. This introduction to a research project helps students figure out if they like doing this kind of work. It also helps students learn their strengths, weaknesses, and interests as researchers. Students accepted into the honors program enroll in an independent study with an HSOC faculty advisor that need not have been the capstone instructor.* During the independent study, students are required to meet with their faculty advisor, to submit assignments and drafts, and to meet regularly (once or twice per month) with peers in the HSOC honors program. The exact final form that the honors thesis takes is ultimately up to students to work out with their advisors, but the norm in HSOC has been for students to write a thesis in the form of three substantive chapters that total ~80 pages (or approximately 20,000 words). This style of thesis has been successful for our program, with many of our students going on to win prestigious awards for their thesis work and getting pieces of their research published in both popular and scholarly outlets. 

* If no one on the HSOC faculty has the expertise you need to help you with your project, you may request a co-advisor. Please reach out to the Associate Director of Undergraduate Studies for more information on how co-advising can work.  

Application Information 

Fall completion . Applications from students in the spring of their junior year are due by no later than 11:59 p.m. on the date of Penn’s Commencement ( May 20, 2024 ). Students will be notified by early June about their status.

Spring completion . Applications from students in the fall of their senior year are due by no later than 11:59 p.m. on the last day of the fall semester ( Dec. 19, 2024 ). Students will be notified about their status in early January, after the capstone final grade has been submitted.  

Eligibility and Application Requirements

•  Students must have at least a 3.6 GPA in the HSOC major and a 3.3 GPA overall.
•  Students are eligible to apply only in the spring of their junior year or the fall of their senior year.
• Students must earn an “A” or higher in their HSOC capstone course completed during the spring of their junior year or the fall of their senior year.
• Students must obtain written letters of support from their capstone instructor AND an approved HSOC faculty advisor (they do not need to be the same person, but they can be). If a student plans to have a co-advisor outside of the History and Sociology of Science department, then they will also need them to submit a letter of support.
• Students must submit a five-page thesis proposal along with a completed capstone paper. The proposal should include: (1) the project title (2) project description (3) a discussion of how the work relates to the capstone paper (i.e. Will it expand on the capstone? Head in a different direction? Etc.) (4) a timeline and plan for completing the research and writing of the thesis and (5) a two- to three-page bibliography that includes the key primary and secondary sources.  

Application materials

• A one-page letter of interest that explains why you want to do an honors project. Please include your GPA and grade requirements in this letter.
• Your thesis proposal.
• Your capstone paper.
• Your letters of support from your capstone instructor and your advisor(s) (if this is the same person, you will only need one letter). Recommenders email these letters directly to the Associate Director of Undergraduate Studies.  

Selection process

All applications will be reviewed by a departmental committee. Acceptance into the honors program will be based on the following criteria:

• Applicants meet all eligibility requirements.
• Applications are completed as per the instructions outlined here and submitted by the deadline. (No late applications will be considered)
• The project described is carefully planned and fits within the goals and parameters of the HSOC major, and the applicant demonstrates a convincing ability to complete it successfully in the time available.
• The applicant has the enthusiastic support of their capstone instructor and advisor.
• If funding or other outside research support is required (i.e. the project requires travel, IRB approval, or participant enrollment), the applicant can provide evidence that this support has been—or will most likely be—secured.  

Additional considerations

Please note that, while it is possible to complete an honors project during the fall and spring of your senior year, it may be more challenging because you will not have the summer months to work on it. There are only a few short weeks between the end of the fall semester and the beginning of the spring semester. For this reason, the selection committee will need to be convinced beyond all doubt that fall applicants are well-positioned to complete their project in the time available.

We advise students to take no more than three courses in addition to the thesis independent study. Previous HSOC thesis writers have also advised against courses that require substantial in-class time each week and classes in which there is a heavy research/writing commitment at the end of the semester. 

Completing an honors thesis can be a wonderful experience. However, please note that in addition to our eligibility and application review guidelines outlined above, acceptance into the honors program will necessarily be limited by the resources of our small department. Although HSOC is one of the largest undergraduate majors in the College of Arts and Sciences, we have a relatively small faculty and program staff. Please keep this in mind as you begin your application process.  

Senior Thesis Writing Project

A student will receive honors after completion of a successful and high-quality written thesis and participation in Senior Research Symposium (typically scheduled in late April or early May, during or near the spring term Reading Days).  Your thesis can build on material from your capstone, but you cannot simply submit a revised draft of your capstone paper. Your capstone might turn into a chapter of your thesis, for example, or you might decide to break your capstone paper into smaller topics which you then research and delve into more thoroughly, turning one paper into a more extensive and fully developed, three-chapter thesis. Alternatively, you may decide that your honors thesis takes you in a new direction altogether and has relatively little overlap with your capstone. Any of these options are fine, as long as you are able to complete the thesis in the time that is available to you, it is original, and it shows substantial and significant work that distinguishes it from your capstone paper.

It takes two consecutive semesters to complete an honors thesis in HSOC. In your first semester, you enroll in and complete a capstone seminar. Towards the end of your capstone course, you will decide if you want to expand or build upon what you learned through your capstone research and write an honors thesis. If you are accepted into the honors program, then the following semester you will enroll in an independent study directed by your thesis supervisor. During your independent study semester, you will be expected to meet at least once/month with your thesis advisor for regular check-ins. You will also be expected to meet once/month with your cohort to discuss your progress, trouble-shoot, and provide feedback on drafts. Along the way, there are deadlines for specific deliverables that MUST be adhered to. Failure to meet deadlines during your independent study semester will negatively affect your ability to successfully complete the honors program.

Students who apply to the program in the spring of their junior year are also expected to utilize the summer for research, idea development, and planning. Students who apply to the program in the fall of their senior year must begin research over the comparatively shorter winter break and do not have the benefit of these additional summer months.  

Honors Determination

Honors will be determined both by the grade given by your advisor and through a review by the senior thesis committee. Generally, a thesis needs to earn a grade of A- or above to be considered for honors.  

Timeline and deliverables

You must meet at least three times with your advisor and at least three times with your cohort during the semester of your independent study.  

September (after Labor Day) / January (within the first 10 days of the semester).

(by no later than Sept. 10, 2024 or Jan. 29, 2025)

(1)  first advisor meeting

(2)  first cohort meeting

Make sure you meet with your advisor first, prior to your cohort meeting, so you can discuss these questions with them and obtain their signature.

(1)  A one- to two-page write-up that answers the following questions:

• What research have you completed?
• Is there any research you still need to complete?
• What writing have you completed?
• What is your timeline for completion?

(2)  During your first meeting with your advisor, develop a list of appointment times for the semester and a calendar for completion as a contract signed by your advisor. Bring this to the cohort meeting.  

October (after Fall break) / February (last week of the month)

(by no later than Oct. 11, 2024 or Feb. 28, 2025)

(1)  advisor meeting

(2)  cohort meeting

Make sure you meet with your advisor before your cohort meeting to discuss the following materials and obtain your advisor’s approval:

(1)  A one- to two-page document that includes

• A thesis statement
• A brief outline of thesis chapters
• One paragraph stating what has been completed, what remains to be done, and dates for completing those chapters, signed by your advisor.

November (before Thanksgiving) / April (first full week)

(by no later than Nov. 22, 2024 or April 11, 2025)

(2)  cohort meeting  

Please make sure you have done the following at least one full week before your meetings:

(by no later than Nov. 15, 2024 or April 4, 2025)

• Submit a full draft (introduction, all chapters, conclusion) of your thesis to your advisor

December / May

A copy of the final draft of the thesis and of your original capstone paper are due by email to your advisor and to the Associate Director of Undergraduate Studies by 11:59 p.m. on the last day of the semester (Dec. 19, 2024 or May 13, 2025). There are NO extensions and NO incompletes. Failure to turn in these materials by this deadline means you will not be eligible to receive honors.

The final, polished, formatted, printed version (one bound copy each for you, for your advisor, and for the HSSC department) is due to your advisor and to the Associate Director of Undergraduate Studies by 11:59 p.m. on Feb. 1 or June 1.

Michele Anzabi,  The Revitalization of the U.S. Menstrual Movement 

Natalie Doppelt ,  The Unsustainability of Hospital Waste: How Disposable Personal Protective Equipment (PPE) has Become Normalized Despite its Environmental Impact 

Sarah Finkelstein,   Reframing Caregiving and Medical Professionalization: Using the History of Modern Doula Care to Recognize the Value in Viewing Care Work and Professionalized Technomedicine along a Continuum 

Mae Mouritsen,   #Invisible: Identity and Community Construction Among Women with Invisible Illnesses and Disabilities on Visual Social Media Platforms 

Daryn Smith,   The Intersection of Mental Health and Gun Violence: How Discourse Surrounding it Perpetuates and Reinforces Racial Hierarchies 

Noelle Kristen Smith,   Unpacking “the American:” Opposing Neoliberal and Consumerist Ideologies in Characterizations of the Clinton Administration’s Health Security Act (1993-1994)

Nicholas Thomas-Lewis,   Recovery of the Self…from Addiction, Adolescence, and Neuromedicalization 

Nikita Zinzuwadia,   Criminal Justice, Mass Incarceration, and COVID-19: Understanding Prison Health and Prison Health Activism in the United States

Catherine Campbell,  “But if you could see the difference the library and a woman has made in that place!”: Taking Care of Men and Books in World War I" (Adviser: Dr. Meghan Crnic)

Merobi Degefa, "Redefining Dignified Maternity Care in Ethiopia" (Adviser: Dr. Adam Mohr)

John Ortega, " Nun Left: The Changing Identity of Catholic Sisters and Catholic Hospitals" (Advisers: Dr. Meghan Crnic, Dr. David Grossman, Dr. Walter Licht)

Samantha Stein, " When All Is Experimental: Marshalling Ethics Aesthetics Through Autonomy Formulations In Urban U.S. Emergency Medicine Research" (Adviser: Dr. Justin Clapp)  

Lea Eisenstein, " From Icon to Bygone: The Rise and Fall of the Diaphragm in Twentieth-Century America"  (Advisers: Dr. Beth Linker and Dr. Meghan Crnic)

Lara Jung , "Reimagining the Country: A Landscape of Children's Health and Well-being, 1875-1975"  (Adviser: Dr. Meghan Crnic)

Folasade Lapite , "TSS (Tampax's Side Story): The Influence of Menstrual Product Manufacturers on Menstrual Education and Its Perception" (Adviser: Dr. Stephanie Dick)

Phoebe Ruggles , "Livestock Over Labor: The Prioritization of Non-Human Animals in the National Organic Program"  (Adviser: Dr. Ann Greene)

Leah Sprague , "The Government's Role as a Nutrition Expert in the United States, 1945-1980"  (Adviser: Dr. Kathy Peiss)  

Rive Cadwallader , 'Medicine in the "Athens of America": Physicians and the Neoclassical Movement in late eighteenth century Philadelphia' (Adviser: Dr. David Barnes)

Alisa Feldman , "Be Fruitful and Medicalize: IVF Risk Communication and the Politics of Assisted Reproduction in Israel". (Advisers: Dr. Adam Mohr and Dr. Frances Barg)

Isabel Griffith , "Obstetric Violence: A Subtext of Voiced Experiences of Childbirth and Maternity Care in Costa Rica's Public Healthcare System" (Adviser: Dr. Ramah McKay)

Joshua A. Jordan , "A War on Two Fronts: Race, Citizenship and the Segregation of the Blood Supply during World War II" (Adviser: Dr. David Barnes)

Madeline Leonard , 'Securing "Infectious Poverty": Analyzing the 2016 Olympics-Based Zika Response in Rio de Janeiro, Brazil' (Adviser: Dr. Andria Johnson)

Lauren Murski , "The System Will See You Now: Redefining Quality Care in the Era of the Electronic Health Record" (Adviser: Dr. Stephanie A. Dick)  

Mary Cerulli
 , “Go Ask the Midwife: Professional Identity in Cape Town, South Africa”
(Adviser: Dr. Kimberly Trout)

Hannah Fagen , 
“The Happiest Place in the Hospital: Newborn Nurseries in American Hospitals, A History”  (Adviser: Dr. Meghan Crnic)


Cassidy Golden,  
“The Mother in the NICU” 
(Adviser: Dr. Renee Fox)

Alexandra Kimmel ,  
“Medicalizing Meditation: The Incorporation of Buddhist Practice into the American Clinic, 1960-2000” 
(Adviser: Dr. Beth Linker)

Will Schupmann , 
“Public Schools as a Loci for Human Experimentation” 
(Adviser: Dr. Jonathan Moreno)

Katherine Senter, 
“The Life Cycles of Health Ministries” 
(Adviser: Dr. Rosemary Frasso)

Randa Som 
, "Re-Imaging Transgender Health Care: Affirming and Promoting Optimal Evidence-Based Transgender Health Care" 
(Adviser: Dr. Lance Wahlert)

Andrea Maria Vargas Guerra , 
‘“Latinos Don’t Look After Each Other”: The Social Cohesion of Latin American Immigrants in North Carolina’ 
(Adviser: Dr. David Barnes)

Olivia Webb , “Voiceless: The Construction of Homelessness Policies, 1980-2016” (Adviser: Dr. Andria Johnson)  

Joia Brosco , “A Tale Of Two Theories: How The Methods Of Scientific Evaluation Are Still Not Helping Our Children, As We Turn Theories Of Child Uplift Into Practice” (Adviser: Chris Feudtner)

Lucia Calthorpe , “Implementation of the Healthy, Hunger-Free Kids Act of 2010: A Case Study of Philadelphia and Two Neighboring Suburban Districts” (Adviser: Mary Summers)

Emma Chessen ,“Following Doctors’ Orders: The Medical Community’s Shift and Influence on U.S. Abortion Policy, 1955-1973” (Adviser: Beth Linker)

Imran Cronk , “From a Land Down Under: Improving U.S. Diabetes Care Through Cross-National Learning” (Adviser: Patricia Danzon)

Chloe Getrajdman ,“Triage: Historical Legacies and Contemporary Perspectives in Global Health” (Adviser: Adam Mohr)

Perry Goffner , “Medical Power: W.W. Keen (1837-1932) and the Defense of Vivisection” (Adviser: Beth Linker)

Kurt Koehler ,“Stress, Agency and Hypertension: Perspective Among Hypertensive African Americans in Philadelphia” (Adviser: Lisa Lewis)

Jenny Markell , “The Long Road to the Establishment of the Maternal and Child Health and Mental Retardation Planning Amendments of 1963” (Adviser: Cynthia Connolly)

Ruchita Pendse , “The Experience of Medical Debt Among the Under-Insured” (Adviser: Peter Reese)

Eileen Wang , “Choice, Control and Childbirth: Cesarean Deliveries on Maternal Request in Shanghai, China” (Adviser: Adriana Petryna)  

Jacquelyn Andrews , “Exploring Potential Health Disparities in Urban Low-Income School Food Environments” (Adviser: Mary Summers)

Bakizada, Zayna , “Getting a Word in Edgewise: The Role of Medical Journals in the Malpractice Discussion”  (Adviser: Robert Aronowitz)

Biegacki, Emma , “Creating the Disaster Space: Social Mapping as a Novel Tool for Aid Delivery” (Advisor: Alison Buttenheim)

Emmanuel Cordova , “Interfacing Immigration and Health: Undocumented Latino Males, Health Status, and Perceptions of Health Care”  (Adviser: Emilio Parrado)

Caroline Kee , “Borrowing from Biomedicine, Trading with Traditional: How Medical Providers in the Kumaon region of the Indian Himalayas Defy Medical Pluralism Paradigms with a System of Specialized Care” (Adviser: Projit Mukharji)

Kim, Eun Kyung Ellen , “Exercising Towards A Cure: The Gymnasium of the Friends Asylum, 1889-1893”  (Adviser: Aaron Wunsch)

Gabriella Meltzer , “A Manufactured Global Health Crisis: Electronic Waste in Accra, Ghana”  (Adviser: Adam Mohr)

Danielle Mohabir , "Provider Perspectives on College Mental Health: Evaluating Structural Barriers to Care from the Inside" (Adviser: Jason Schnittker)

Katherine Sgarro , ‘The Social Construction Of Celiac Disease: How Biomedical Definitions Of “Diagnosis” And “Treatment” Affect Low-Income Americans With Celiac Disease’ (Adviser: Herbert Smith)  

Kathryn Barth , “Weighing On Energy-Dense Food Taxes: How Food Preferences Relate To Obesity” (Advisor: Catherine Maclean)

Janan Dave , “Having A Daughter Is Like Watering Your Neighbor's Garden": Migration's Effect On Gender Ideologies Of South Asian Americans In Philadelphia” (Advisor: Deborah Thomas)

Mia Garuccio , “Organ Transplants And HIV: A Historical Comparison And Policy Review”  (Advisor: Andria Johnson)

Victoria Goldman , “Intersexuality: How Cultural Expectations, Medical Innovations And Language Created The Perception Of Variant Genitalia As A Disorder” (Advisor: Ann Greene)

Monica Kang , “Inappropriate Consumers: The Construction Of Gender Through Eating Behavior In Children's Literature”  (Advisor: Jason Schnittker)

Megan McCarthy-Alfano , “Driving Without A Roadmap: Parents' Treatment Decisions In Autism Care”  (Advisor: Fran Barg)

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• How to Write a Research Proposal | Examples & Templates

How to Write a Research Proposal | Examples & Templates

Published on October 12, 2022 by Shona McCombes and Tegan George. Revised on November 21, 2023.

A research proposal describes what you will investigate, why it’s important, and how you will conduct your research.

The format of a research proposal varies between fields, but most proposals will contain at least these elements:

Introduction

Literature review.

• Research design

Reference list

While the sections may vary, the overall objective is always the same. A research proposal serves as a blueprint and guide for your research plan, helping you get organized and feel confident in the path forward you choose to take.

Table of contents

Research proposal purpose, research proposal examples, research design and methods, contribution to knowledge, research schedule, other interesting articles, frequently asked questions about research proposals.

Academics often have to write research proposals to get funding for their projects. As a student, you might have to write a research proposal as part of a grad school application , or prior to starting your thesis or dissertation .

In addition to helping you figure out what your research can look like, a proposal can also serve to demonstrate why your project is worth pursuing to a funder, educational institution, or supervisor.

Research proposal length

The length of a research proposal can vary quite a bit. A bachelor’s or master’s thesis proposal can be just a few pages, while proposals for PhD dissertations or research funding are usually much longer and more detailed. Your supervisor can help you determine the best length for your work.

One trick to get started is to think of your proposal’s structure as a shorter version of your thesis or dissertation , only without the results , conclusion and discussion sections.

Download our research proposal template

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Writing a research proposal can be quite challenging, but a good starting point could be to look at some examples. We’ve included a few for you below.

• Example research proposal #1: “A Conceptual Framework for Scheduling Constraint Management”
• Example research proposal #2: “Medical Students as Mediators of Change in Tobacco Use”

Like your dissertation or thesis, the proposal will usually have a title page that includes:

• The proposed title of your project
• Your supervisor’s name
• Your institution and department

The first part of your proposal is the initial pitch for your project. Make sure it succinctly explains what you want to do and why.

Your introduction should:

• Introduce your topic
• Give necessary background and context
• Outline your  problem statement  and research questions

To guide your introduction , include information about:

• Who could have an interest in the topic (e.g., scientists, policymakers)
• How much is already known about the topic
• What is missing from this current knowledge
• What new insights your research will contribute
• Why you believe this research is worth doing

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As you get started, it’s important to demonstrate that you’re familiar with the most important research on your topic. A strong literature review  shows your reader that your project has a solid foundation in existing knowledge or theory. It also shows that you’re not simply repeating what other people have already done or said, but rather using existing research as a jumping-off point for your own.

In this section, share exactly how your project will contribute to ongoing conversations in the field by:

• Comparing and contrasting the main theories, methods, and debates
• Examining the strengths and weaknesses of different approaches
• Explaining how will you build on, challenge, or synthesize prior scholarship

Following the literature review, restate your main  objectives . This brings the focus back to your own project. Next, your research design or methodology section will describe your overall approach, and the practical steps you will take to answer your research questions.

To finish your proposal on a strong note, explore the potential implications of your research for your field. Emphasize again what you aim to contribute and why it matters.

For example, your results might have implications for:

• Improving best practices
• Informing policymaking decisions
• Strengthening a theory or model
• Challenging popular or scientific beliefs
• Creating a basis for future research

Last but not least, your research proposal must include correct citations for every source you have used, compiled in a reference list . To create citations quickly and easily, you can use our free APA citation generator .

Some institutions or funders require a detailed timeline of the project, asking you to forecast what you will do at each stage and how long it may take. While not always required, be sure to check the requirements of your project.

Here’s an example schedule to help you get started. You can also download a template at the button below.

Download our research schedule template

If you are applying for research funding, chances are you will have to include a detailed budget. This shows your estimates of how much each part of your project will cost.

Make sure to check what type of costs the funding body will agree to cover. For each item, include:

• Cost : exactly how much money do you need?
• Justification : why is this cost necessary to complete the research?
• Source : how did you calculate the amount?

To determine your budget, think about:

• Travel costs : do you need to go somewhere to collect your data? How will you get there, and how much time will you need? What will you do there (e.g., interviews, archival research)?
• Materials : do you need access to any tools or technologies?
• Help : do you need to hire any research assistants for the project? What will they do, and how much will you pay them?

If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

Methodology

• Sampling methods
• Simple random sampling
• Stratified sampling
• Cluster sampling
• Likert scales
• Reproducibility

 Statistics

• Null hypothesis
• Statistical power
• Probability distribution
• Effect size
• Poisson distribution

Research bias

• Optimism bias
• Cognitive bias
• Implicit bias
• Hawthorne effect
• Anchoring bias
• Explicit bias

Once you’ve decided on your research objectives , you need to explain them in your paper, at the end of your problem statement .

Keep your research objectives clear and concise, and use appropriate verbs to accurately convey the work that you will carry out for each one.

I will compare …

A research aim is a broad statement indicating the general purpose of your research project. It should appear in your introduction at the end of your problem statement , before your research objectives.

Research objectives are more specific than your research aim. They indicate the specific ways you’ll address the overarching aim.

A PhD, which is short for philosophiae doctor (doctor of philosophy in Latin), is the highest university degree that can be obtained. In a PhD, students spend 3–5 years writing a dissertation , which aims to make a significant, original contribution to current knowledge.

A PhD is intended to prepare students for a career as a researcher, whether that be in academia, the public sector, or the private sector.

A master’s is a 1- or 2-year graduate degree that can prepare you for a variety of careers.

All master’s involve graduate-level coursework. Some are research-intensive and intend to prepare students for further study in a PhD; these usually require their students to write a master’s thesis . Others focus on professional training for a specific career.

Critical thinking refers to the ability to evaluate information and to be aware of biases or assumptions, including your own.

Like information literacy , it involves evaluating arguments, identifying and solving problems in an objective and systematic way, and clearly communicating your ideas.

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.

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