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HOW TO WRITE CHAPTER ONE OF RESEARCH PROJECTS

A practical guide to research writing – chapter one.

The outline of a well written Chapter One is supposed to include all or some of the following:

CHAPTER ONE

INTRODUCTION

1.1 Background to the Study

1.2 Statement of the Problem

1.3 Objectives or Purpose of the Study

1.4 Research Questions and /or Hypotheses

1.5 Significance of the Study

1.6 Scope and Limitation of the Study

1.7 Basic Assumptions

1.8 Operational Definition of Terms

As can be seen above, the project outline constitutes a huge part of the project proposal and the student researcher just needs to perfect the approved research proposal with the view of using it as the Chapter One. The fact remains that all the other parts that as had been written for the project proposal would still stand, with the inclusion of Operational Definition of Terms. At this stage, it is important to understand and know what is contained under each of the subheadings in the first chapter and these are described thoroughly in this article: –

1.1     Background to the Study

Just as the name means, this section outlines the history of the subject matter under investigation; the evolution of the research problem; how the researcher became fascinated with the problem. He goes on to describe the specific situation surrounding the research problem, using facts from the literature to support various arguments. In this section also, the student researcher tries to ascertain the suitability and feasibility of the study, concluding from the sufficient evidences drawn from the previous literature.

In a nutshell, this is where the student researcher initiates the subject of his investigation using all obtainable evidences and figures to establish its groundwork. Note that even if there is no standard number of pages that this should take, the lengthier and well focused the Background to the Study, the better for a good and solid groundwork for that research being conducted.

1.2     Statement of the Problem

The Problem Statement, as it is otherwise described, is the reasonable conclusion of the problems/issues raised in the Background to the Study. The idea is that while the Background to the Study offers a wider or global perspective/standpoint to the subject matter of the research, the Problem Statement makes assumptions from there and concludes on the specifics as they relate to the specific investigation being conducted.

That is the reason Problem Statement is expected to flow, rather logically, from the Background to the Study; and it is not a good Problem Statement, one that deviates from this; given that they are not expected to be two unconnected entities, as it were. It is nevertheless different from Background to the Study in that it must be stated reasonably briefly and very clearly. All the descriptive components of the Background to the Study would have assisted to allow one go straight for the specifics under the Problem Statement.

This is why experienced project supervisors would maintain that the Problem Statement should be in the range of one to three paragraphs only. The idea is that the shorter, the clearer; and the clearer the better for the whole process of investigation. In a nutshell, one cannot overstate the need to state the research problem very clearly and accurately, since the entire course of the investigation depends on it.

Therefore, there is no doubt that a satisfactory statement of the research problem is the most important component of a research process. The plain reason for this claim is that the whole process of investigation centers on it and it is typically related to some of the following issues:

  • A missing link
  • One-sidedness
  • An unanswered question.
  • An unsatisfactory state of arrangements

Consequently, the Problem Statement offers direction to the rest of the project; signifying and highlighting the major variables of concern to the researcher as well as the exact relationship that exist between them.

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STEP BY STEP RESEARCH WRITING GUIDE

Best Research Writing eBook

Academic project or thesis or dissertation writing is not an easy academic endeavor. To reach your goal, you must invest time, effort, and a strong desire to succeed. Writing a thesis while also juggling other course work is challenging, but it doesn't have to be an unpleasant process. A dissertation or thesis is one of the most important requirements for any degree, and this book will show you how to create a good research write-up from a high level of abstraction, making your research writing journey much easier. It also includes examples of how and what the contents of each sub-headings should look like for easy research writing. This book will also constitute a step-by-step research writing guide to scholars in all research fields.

1.3     Objectives {Purpose} of the Study

Simply similar to every other component in a research project, the Objectives of the Study is strongly connected to the Research Problem. The former is derived directly from the latter. The Objectives of the Study, which is sometimes described as Purpose, stand for the aims of carrying out the investigation and could be categorized into general and specific.

The general objective describes the overall aim of a research project whereas the specific objective is concerned with the comprehensive list of intentions concerning what the research stands to accomplish at the end of the project. Typically, the specific objectives are stated in the form of declarative statements for example, the statement should start with “to examine”, “to analyze”, “to determine”, “to assess”, “to find out” etc. The Research Questions usually take the form of interrogative statement, the Objectives present the same thing, but in the statement form.

1.4. Research Questions and/or Hypotheses

Typically, these come immediately after the Research objectives because of their strong relationship. They do not just seek to convert the declarative statement of the objectives into interrogative form, but further break down the major problems compressed in the research objectives. As its name implies, Research Questions is presented just like interrogations seeking to create specific relations among the main variables of investigation.

As well, the Research Questions usually serve as the foundation from where the questionnaire items/questions would ultimately be derived. The difference between the two is that the items in the questionnaire offer a further breakdown of each of the research questions to a greater specification. This is to the level that a single research question can turn out the range of between three to five questionnaire items/questions. But the Research Questions are wide in nature, the questionnaire items are typically directed towards the details thereby getting down to more specifics.

In the case of Hypotheses, they are not the same as Research Questions even though they are sometimes used to substitute each other. In other words, it is not unusual to find projects which have both as well as others which have only one of them. Since they are not the same, they are not expected to replace each other. If they stand to do that, then one should be retained and the other disposed of. By this piece of information, one can easily know that it is not necessary that a project should have both; particularly at the elementary level, where in most of the times, the research questions would be okay.

By meaning, a Research Hypothesis is a clear, specific statement whose validity and workability can be tested by means of scientific method. Being a declarative statement of prediction, it tries to determine the relationship or difference that exists between one variable and the other; and to what degree. It is a form of clever guess or supposition regularly derived from the results of previous studies and/or theories originating from the literature. Hypotheses are formulated on the core of any of the areas and objectives listed below:

  • To merely describe a occurrence or a statement of fact
  • To compare two or more concepts, individuals and places
  • To reveal the relationship between variable
  • To reveal a cause/ effect situation between variables.

Usually, there are two kinds of hypotheses; basically referring to the way they are stated. They are the Null and the Alternative. While the former is frequently stated in the negative form of “No Significant Relationship” or “No Significant Difference” etc., the latter takes the positive form of statement; such as “There is a Significant Relationship”, “There is a Significant Difference” etc.

The Research Hypotheses specify the fundamental issues relating to the data to be gathered in the process of conducting the study. They serve as a theoretical conceptualization of what the researcher anticipated with respect to his research outcomes. These help him to test and verify his concepts on the basis of which he makes very tangible and reliable conclusions and generalizations. They also assist in sharpening researcher’s focus on the research problem with a view to determining the direction where to find the solution.

Therefore, some of the qualities of a good hypothesis must include that:

  • It should be sensible {i.e. clever guesses}.
  • It should be in line with known facts or theories.
  • It should be constructed in such a manner that it is testable and found to be probably true or false.
  • It should be in very simple, unambiguous terms.
  • It should be directly connected to the problem of research.
  • It should involve very few variables at a time.
  • It should be quantifiable {i.e. operationally formulated}.

1.5.    Significance of the Study

It is anticipated that every research project must have something new to contribute to knowledge in that research field, no matter how small. In point of fact, no research should take place if it will not contribute anything to knowledge; as this represents the major feature of all research endeavors.

Consequently, this section is expected to clarify the possible benefits of the research and to whom such anticipated benefits would be meant. All these should be clearly stated. In any way, there is no standard detail as to the number of benefits that a research project should have or its length. It can be arranged sequentially or itemized or paraphrased depending on the person’s method of writing.

1.6.    Scope and Limitation of the Study

The scope of the study basically refers to the level of coverage of the research subject being investigated and the good statement of the problem will act as a helpful guide to doing this. That means, if the problem had been properly stated at the beginning, it helps, certainly, in defining the scope of the research. That is why the scope of the study is partially dependent on the title of the research project. If well formulated, the phrase of the title only does define the scope of the study and possibly, needs a little rider to make it clearer. The limitation of the study represents the things and issues that constituted challenges in the process of investigations.

Consequently, if the scope was concerned with the level of the research’s coverage, then, limitation implies building a fence around the subject of research. This is with a view to creating a foundation for the non-inclusion of certain things in the study for understandable reasons.

1.7.    Basic Assumptions

Even though many student researchers tend to mistake Assumptions with Hypotheses, it is important to state very clearly that they are not the same. We have already discussed about hypotheses; its meaning and significance in a research project. However, Assumptions are only mere statements, which are frequently, not subjected to any testing. They are, more or less, ordinary statements that are taken for granted. They cannot replace the Hypotheses; yet, they tend to duplicate the Hypotheses, because they are fairly similar.

It is because of these reasons that a lot of research experts have suggested that if the study has hypotheses, then assumptions would no longer be needed. For a study with Research Questions only nevertheless, it is suitable to have assumptions, to act as a guide towards the achievement of the research objectives.

Assumptions are typically itemized while the number varies.

1.9     Operational Definition of Terms

This section of the Chapter one (introduction) is used to offer a kind of working definition to all the concepts, which would be operationally used in the course of the research. The notion is that there are some terminologies, which have been “adapted” and so utilized restrictively for the purpose of the research project.

This implies that such terminologies would mean something somewhat different from the one adapted under a different circumstances; therefore the name Operational Definition of Terms. In defining terms operationally, individual concepts/words to be so defined are recognized and then itemized. Thus, operational definitions are typically given in such a manner that will imply that they are not the usually accepted as standard definitions but those peculiar to the study in specifically. This section typically comes last in the introductory chapter.

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>>>>> HOW TO WRITE CHAPTER TWO OF RESEARCH PROJECTS

23 comments.

excellent write up, this should help me in writing my chapter one

Excellent write up. Great job, really helped me with my chapter one in my MBA project write up.

However I would like to know if I can add justification of study to my chapter one since you didn’t mention it in your post?

Great write up nevertheless!

Well thank you for the special guardian for my first chapter write up, however I wish if you break up background of the study into theoretical background, conceptual background and contextual background to make me have better analysis on how they are framed

Thanks a lot

This really helped me out to have an approach to good chapter one of my project. Thank you very much.

I realy apreciate your work here. This article helped me alot.

Do you have another one on chapter 2 (literature review)

Thanks. “how to write chapter two”, an article that will guide researcher on how to write the literature review will soon be published.

tanx,tanx,tanx this really help me when I wrotte my exam on research topic on my N.C.E program

Nice one, I haven’t started but I think this is really a nice guide for a start.

This is a great light to me. Thanks for the post

This is a well analysed research procedure….

Good work , well articulated, unambiguous, simply & logically stated.

Thanks for the write up… This should help me writing my project… Thanks once again.

GOD BLESS YOU

I am so glad with your work,l have gone through.l think what I benefited from it, will definitely guide me in my project work.so l am so grateful to you for making me to discover what I am looking for.

Thaaaaanks A good guide i’ll do a study on chapter one

Truth be told, I wish I had come across this write up before now. This is the clearest article I’ve read about contents of the chapters of a research project, especially chapter two. I’ve sent the link to my colleague PG Students.

Thanks so much.

it will great if you can add examples of what these when properly written will look like.

good guidance, keep doing so to help us learn better, together we stand

God bless you ?

Omo thanks a bunch

Good work done keep it up, i think your write up have helped me alot

Thank you,I do really appreciate and I learned more about.

Thanks very much, I have found this piece to he very educative and resourceful to any researcher.

This is the best foundation of Researchers

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How To Write A Dissertation Introduction Chapter:

The 7 essential ingredients of an a-grade introduction.

By: Derek Jansen (MBA). Reviewed By Dr Eunice Rautenbach (D. Tech) | March 2020

If you’re reading this, you’re probably at the daunting early phases of writing up the introduction chapter of your dissertation or thesis. It can be intimidating, I know. 

In this post, we’ll look at the 7 essential ingredients of a strong dissertation or thesis introduction chapter, as well as the essential things you need to keep in mind as you craft each section. We’ll also share some useful tips to help you optimize your approach.

Overview: How To Write An Introduction Chapter

  • Understand the purpose and function of the intro chapter
  • Craft an enticing and engaging opening section
  • Provide a background and context to the study
  • Clearly define the research problem
  • State your research aims, objectives and questions
  • Explain the significance of your study
  • Identify the limitations of your research
  • Outline the structure of your dissertation or thesis

The perfect dissertation or thesis introduction chapter

A quick sidenote:

You’ll notice that I’ve used the words dissertation and thesis interchangeably. While these terms reflect different levels of research – for example, Masters vs PhD-level research – the introduction chapter generally contains the same 7 essential ingredients regardless of level. So, in this post, dissertation introduction equals thesis introduction.

Start with why.

To craft a high-quality dissertation or thesis introduction chapter, you need to understand exactly what this chapter needs to achieve. In other words, what’s its purpose ? As the name suggests, the introduction chapter needs to introduce the reader to your research so that they understand what you’re trying to figure out, or what problem you’re trying to solve. More specifically, you need to answer four important questions in your introduction chapter.

These questions are:

  • What will you be researching? (in other words, your research topic)
  • Why is that worthwhile? (in other words, your justification)
  • What will the scope of your research be? (in other words, what will you cover and what won’t you cover)
  • What will the limitations of your research be? (in other words, what will the potential shortcomings of your research be?)

Simply put, your dissertation’s introduction chapter needs to provide an overview of your planned research , as well as a clear rationale for it. In other words, this chapter has to explain the “what” and the “why” of your research – what’s it all about and why’s that important.

Simple enough, right?

Well, the trick is finding the appropriate depth of information. As the researcher, you’ll be extremely close to your topic and this makes it easy to get caught up in the minor details. While these intricate details might be interesting, you need to write your introduction chapter on more of a “need-to-know” type basis, or it will end up way too lengthy and dense. You need to balance painting a clear picture with keeping things concise. Don’t worry though – you’ll be able to explore all the intricate details in later chapters.

The core ingredients of a dissertation introduction chapter

Now that you understand what you need to achieve from your introduction chapter, we can get into the details. While the exact requirements for this chapter can vary from university to university, there are seven core components that most universities will require. We call these the seven essential ingredients . 

The 7 Essential Ingredients

  • The opening section – where you’ll introduce the reader to your research in high-level terms
  • The background to the study – where you’ll explain the context of your project
  • The research problem – where you’ll explain the “gap” that exists in the current research
  • The research aims , objectives and questions – where you’ll clearly state what your research will aim to achieve
  • The significance (or justification) – where you’ll explain why your research is worth doing and the value it will provide to the world
  • The limitations – where you’ll acknowledge the potential limitations of your project and approach
  • The structure – where you’ll briefly outline the structure of your dissertation or thesis to help orient the reader

By incorporating these seven essential ingredients into your introduction chapter, you’ll comprehensively cover both the “ what ” and the “ why ” I mentioned earlier – in other words, you’ll achieve the purpose of the chapter.

Side note – you can also use these 7 ingredients in this order as the structure for your chapter to ensure a smooth, logical flow. This isn’t essential, but, generally speaking, it helps create an engaging narrative that’s easy for your reader to understand. If you’d like, you can also download our free introduction chapter template here.

Alright – let’s look at each of the ingredients now.

components of chapter 1 in research

#1 – The Opening Section

The very first essential ingredient for your dissertation introduction is, well, an introduction or opening section. Just like every other chapter, your introduction chapter needs to start by providing a brief overview of what you’ll be covering in the chapter.

This section needs to engage the reader with clear, concise language that can be easily understood and digested. If the reader (your marker!) has to struggle through it, they’ll lose interest, which will make it harder for you to earn marks. Just because you’re writing an academic paper doesn’t mean you can ignore the basic principles of engaging writing used by marketers, bloggers, and journalists. At the end of the day, you’re all trying to sell an idea – yours is just a research idea.

So, what goes into this opening section?

Well, while there’s no set formula, it’s a good idea to include the following four foundational sentences in your opening section:

1 – A sentence or two introducing the overall field of your research.

For example:

“Organisational skills development involves identifying current or potential skills gaps within a business and developing programs to resolve these gaps. Management research, including X, Y and Z, has clearly established that organisational skills development is an essential contributor to business growth.”

2 – A sentence introducing your specific research problem.

“However, there are conflicting views and an overall lack of research regarding how best to manage skills development initiatives in highly dynamic environments where subject knowledge is rapidly and continuously evolving – for example, in the website development industry.”

3 – A sentence stating your research aims and objectives.

“This research aims to identify and evaluate skills development approaches and strategies for highly dynamic industries in which subject knowledge is continuously evolving.”.

4 – A sentence outlining the layout of the chapter.

“This chapter will provide an introduction to the study by first discussing the background and context, followed by the research problem, the research aims, objectives and questions, the significance and finally, the limitations.”

As I mentioned, this opening section of your introduction chapter shouldn’t be lengthy . Typically, these four sentences should fit neatly into one or two paragraphs, max. What you’re aiming for here is a clear, concise introduction to your research – not a detailed account.

PS – If some of this terminology sounds unfamiliar, don’t stress – I’ll explain each of the concepts later in this post.

Dissertation writing

#2 – Background to the study

Now that you’ve provided a high-level overview of your dissertation or thesis, it’s time to go a little deeper and lay a foundation for your research topic. This foundation is what the second ingredient is all about – the background to your study.

So, what is the background section all about?

Well, this section of your introduction chapter should provide a broad overview of the topic area that you’ll be researching, as well as the current contextual factors . This could include, for example, a brief history of the topic, recent developments in the area, key pieces of research in the area and so on. In other words, in this section, you need to provide the relevant background information to give the reader a decent foundational understanding of your research area.

Let’s look at an example to make this a little more concrete.

If we stick with the skills development topic I mentioned earlier, the background to the study section would start by providing an overview of the skills development area and outline the key existing research. Then, it would go on to discuss how the modern-day context has created a new challenge for traditional skills development strategies and approaches. Specifically, that in many industries, technical knowledge is constantly and rapidly evolving, and traditional education providers struggle to keep up with the pace of new technologies.

Importantly, you need to write this section with the assumption that the reader is not an expert in your topic area. So, if there are industry-specific jargon and complex terminology, you should briefly explain that here , so that the reader can understand the rest of your document.

Don’t make assumptions about the reader’s knowledge – in most cases, your markers will not be able to ask you questions if they don’t understand something. So, always err on the safe side and explain anything that’s not common knowledge.

Dissertation Coaching

#3 – The research problem

Now that you’ve given your reader an overview of your research area, it’s time to get specific about the research problem that you’ll address in your dissertation or thesis. While the background section would have eluded to a potential research problem (or even multiple research problems), the purpose of this section is to narrow the focus and highlight the specific research problem you’ll focus on.

But, what exactly is a research problem, you ask?

Well, a research problem can be any issue or question for which there isn’t already a well-established and agreed-upon answer in the existing research. In other words, a research problem exists when there’s a need to answer a question (or set of questions), but there’s a gap in the existing literature , or the existing research is conflicting and/or inconsistent.

So, to present your research problem, you need to make it clear what exactly is missing in the current literature and why this is a problem . It’s usually a good idea to structure this discussion into three sections – specifically:

  • What’s already well-established in the literature (in other words, the current state of research)
  • What’s missing in the literature (in other words, the literature gap)
  • Why this is a problem (in other words, why it’s important to fill this gap)

Let’s look at an example of this structure using the skills development topic.

Organisational skills development is critically important for employee satisfaction and company performance (reference). Numerous studies have investigated strategies and approaches to manage skills development programs within organisations (reference).

(this paragraph explains what’s already well-established in the literature)

However, these studies have traditionally focused on relatively slow-paced industries where key skills and knowledge do not change particularly often. This body of theory presents a problem for industries that face a rapidly changing skills landscape – for example, the website development industry – where new platforms, languages and best practices emerge on an extremely frequent basis.

(this paragraph explains what’s missing from the literature)

As a result, the existing research is inadequate for industries in which essential knowledge and skills are constantly and rapidly evolving, as it assumes a slow pace of knowledge development. Industries in such environments, therefore, find themselves ill-equipped in terms of skills development strategies and approaches.

(this paragraph explains why the research gap is problematic)

As you can see in this example, in a few lines, we’ve explained (1) the current state of research, (2) the literature gap and (3) why that gap is problematic. By doing this, the research problem is made crystal clear, which lays the foundation for the next ingredient.

#4 – The research aims, objectives and questions

Now that you’ve clearly identified your research problem, it’s time to identify your research aims and objectives , as well as your research questions . In other words, it’s time to explain what you’re going to do about the research problem.

So, what do you need to do here?

Well, the starting point is to clearly state your research aim (or aims) . The research aim is the main goal or the overarching purpose of your dissertation or thesis. In other words, it’s a high-level statement of what you’re aiming to achieve.

Let’s look at an example, sticking with the skills development topic:

“Given the lack of research regarding organisational skills development in fast-moving industries, this study will aim to identify and evaluate the skills development approaches utilised by web development companies in the UK”.

As you can see in this example, the research aim is clearly outlined, as well as the specific context in which the research will be undertaken (in other words, web development companies in the UK).

Next up is the research objective (or objectives) . While the research aims cover the high-level “what”, the research objectives are a bit more practically oriented, looking at specific things you’ll be doing to achieve those research aims.

Let’s take a look at an example of some research objectives (ROs) to fit the research aim.

  • RO1 – To identify common skills development strategies and approaches utilised by web development companies in the UK.
  • RO2 – To evaluate the effectiveness of these strategies and approaches.
  • RO3 – To compare and contrast these strategies and approaches in terms of their strengths and weaknesses.

As you can see from this example, these objectives describe the actions you’ll take and the specific things you’ll investigate in order to achieve your research aims. They break down the research aims into more specific, actionable objectives.

The final step is to state your research questions . Your research questions bring the aims and objectives another level “down to earth”. These are the specific questions that your dissertation or theses will seek to answer. They’re not fluffy, ambiguous or conceptual – they’re very specific and you’ll need to directly answer them in your conclusions chapter .

The research questions typically relate directly to the research objectives and sometimes can look a bit obvious, but they are still extremely important. Let’s take a look at an example of the research questions (RQs) that would flow from the research objectives I mentioned earlier.

  • RQ1 – What skills development strategies and approaches are currently being used by web development companies in the UK?
  • RQ2 – How effective are each of these strategies and approaches?
  • RQ3 – What are the strengths and weaknesses of each of these strategies and approaches?

As you can see, the research questions mimic the research objectives , but they are presented in question format. These questions will act as the driving force throughout your dissertation or thesis – from the literature review to the methodology and onward – so they’re really important.

A final note about this section – it’s really important to be clear about the scope of your study (more technically, the delimitations ). In other words, what you WILL cover and what you WON’T cover. If your research aims, objectives and questions are too broad, you’ll risk losing focus or investigating a problem that is too big to solve within a single dissertation.

Simply put, you need to establish clear boundaries in your research. You can do this, for example, by limiting it to a specific industry, country or time period. That way, you’ll ringfence your research, which will allow you to investigate your topic deeply and thoroughly – which is what earns marks!

Need a helping hand?

components of chapter 1 in research

#5 – Significance

Now that you’ve made it clear what you’ll be researching, it’s time to make a strong argument regarding your study’s importance and significance . In other words, now that you’ve covered the what, it’s time to cover the why – enter essential ingredient number 5 – significance.

Of course, by this stage, you’ve already briefly alluded to the importance of your study in your background and research problem sections, but you haven’t explicitly stated how your research findings will benefit the world . So, now’s your chance to clearly state how your study will benefit either industry , academia , or – ideally – both . In other words, you need to explain how your research will make a difference and what implications it will have.

Let’s take a look at an example.

“This study will contribute to the body of knowledge on skills development by incorporating skills development strategies and approaches for industries in which knowledge and skills are rapidly and constantly changing. This will help address the current shortage of research in this area and provide real-world value to organisations operating in such dynamic environments.”

As you can see in this example, the paragraph clearly explains how the research will help fill a gap in the literature and also provide practical real-world value to organisations.

This section doesn’t need to be particularly lengthy, but it does need to be convincing . You need to “sell” the value of your research here so that the reader understands why it’s worth committing an entire dissertation or thesis to it. This section needs to be the salesman of your research. So, spend some time thinking about the ways in which your research will make a unique contribution to the world and how the knowledge you create could benefit both academia and industry – and then “sell it” in this section.

studying and prep for henley exams

#6 – The limitations

Now that you’ve “sold” your research to the reader and hopefully got them excited about what’s coming up in the rest of your dissertation, it’s time to briefly discuss the potential limitations of your research.

But you’re probably thinking, hold up – what limitations? My research is well thought out and carefully designed – why would there be limitations?

Well, no piece of research is perfect . This is especially true for a dissertation or thesis – which typically has a very low or zero budget, tight time constraints and limited researcher experience. Generally, your dissertation will be the first or second formal research project you’ve ever undertaken, so it’s unlikely to win any research awards…

Simply put, your research will invariably have limitations. Don’t stress yourself out though – this is completely acceptable (and expected). Even “professional” research has limitations – as I said, no piece of research is perfect. The key is to recognise the limitations upfront and be completely transparent about them, so that future researchers are aware of them and can improve the study’s design to minimise the limitations and strengthen the findings.

Generally, you’ll want to consider at least the following four common limitations. These are:

  • Your scope – for example, perhaps your focus is very narrow and doesn’t consider how certain variables interact with each other.
  • Your research methodology – for example, a qualitative methodology could be criticised for being overly subjective, or a quantitative methodology could be criticised for oversimplifying the situation (learn more about methodologies here ).
  • Your resources – for example, a lack of time, money, equipment and your own research experience.
  • The generalisability of your findings – for example, the findings from the study of a specific industry or country can’t necessarily be generalised to other industries or countries.

Don’t be shy here. There’s no use trying to hide the limitations or weaknesses of your research. In fact, the more critical you can be of your study, the better. The markers want to see that you are aware of the limitations as this demonstrates your understanding of research design – so be brutal.

#7 – The structural outline

Now that you’ve clearly communicated what your research is going to be about, why it’s important and what the limitations of your research will be, the final ingredient is the structural outline.The purpose of this section is simply to provide your reader with a roadmap of what to expect in terms of the structure of your dissertation or thesis.

In this section, you’ll need to provide a brief summary of each chapter’s purpose and contents (including the introduction chapter). A sentence or two explaining what you’ll do in each chapter is generally enough to orient the reader. You don’t want to get too detailed here – it’s purely an outline, not a summary of your research.

Let’s look at an example:

In Chapter One, the context of the study has been introduced. The research objectives and questions have been identified, and the value of such research argued. The limitations of the study have also been discussed.

In Chapter Two, the existing literature will be reviewed and a foundation of theory will be laid out to identify key skills development approaches and strategies within the context of fast-moving industries, especially technology-intensive industries.

In Chapter Three, the methodological choices will be explored. Specifically, the adoption of a qualitative, inductive research approach will be justified, and the broader research design will be discussed, including the limitations thereof.

So, as you can see from the example, this section is simply an outline of the chapter structure, allocating a short paragraph to each chapter. Done correctly, the outline will help your reader understand what to expect and reassure them that you’ll address the multiple facets of the study.

By the way – if you’re unsure of how to structure your dissertation or thesis, be sure to check out our video post which explains dissertation structure .

Keep calm and carry on.

Hopefully you feel a bit more prepared for this challenge of crafting your dissertation or thesis introduction chapter now. Take a deep breath and remember that Rome wasn’t built in a day – conquer one ingredient at a time and you’ll be firmly on the path to success.

Let’s quickly recap – the 7 ingredients are:

  • The opening section – where you give a brief, high-level overview of what your research will be about.
  • The study background – where you introduce the reader to key theory, concepts and terminology, as well as the context of your study.
  • The research problem – where you explain what the problem with the current research is. In other words, the research gap.
  • The research aims , objectives and questions – where you clearly state what your dissertation will investigate.
  • The significance – where you explain what value your research will provide to the world.
  • The limitations – where you explain what the potential shortcomings and limitations of your research may be.
  • The structural outline – where you provide a high-level overview of the structure of your document

If you bake these ingredients into your dissertation introduction chapter, you’ll be well on your way to building an engaging introduction chapter that lays a rock-solid foundation for the rest of your document.

Remember, while we’ve covered the essential ingredients here, there may be some additional components that your university requires, so be sure to double-check your project brief!

components of chapter 1 in research

Psst… there’s more (for free)

This post is part of our dissertation mini-course, which covers everything you need to get started with your dissertation, thesis or research project. 

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How to write the discussion chapter

40 Comments

Derique

Thanks very much for such an insight. I feel confident enough in undertaking my thesis on the survey;The future of facial recognition and learning non verbal interaction

Derek Jansen

Glad to hear that. Good luck with your thesis!

Thanks very much for such an insight. I feel confident now undertaking my thesis; The future of facial recognition and learning non verbal interaction.

Emmanuel Chukwuebuka Okoli

Thanks so much for this article. I found myself struggling and wasting a lot of time in my thesis writing but after reading this article and watching some of your youtube videos, I now have a clear understanding of what is required for a thesis.

Saima Kashif

Thank you Derek, i find your each post so useful. Keep it up.

Aletta

Thank you so much Derek ,for shedding the light and making it easier for me to handle the daunting task of academic writing .

Alice kasaka

Thanks do much Dereck for the comprehensive guide. It will assist me queit a lot in my thesis.

dawood

thanks a lot for helping

SALly henderson

i LOVE the gifs, such a fun way to engage readers. thanks for the advice, much appreciated

NAG

Thanks a lot Derek! It will be really useful to the beginner in research!

Derek Jansen

You’re welcome

ravi

This is a well written, easily comprehensible, simple introduction to the basics of a Research Dissertation../the need to keep the reader in mind while writing the dissertation is an important point that is covered../ I appreciate the efforts of the author../

Laxmi kanta Sharma

The instruction given are perfect and clear. I was supposed to take the course , unfortunately in Nepal the service is not avaialble.However, I am much more hopeful that you will provide require documents whatever you have produced so far.

Halima Ringim

Thank you very much

Shamim Nabankema

Thanks so much ❤️😘 I feel am ready to start writing my research methodology

Sapphire Kellichan

This is genuinely the most effective advice I have ever been given regarding academia. Thank you so much!

Abdul

This is one of the best write up I have seen in my road to PhD thesis. regards, this write up update my knowledge of research

Amelia

I was looking for some good blogs related to Education hopefully your article will help. Thanks for sharing.

Dennis

This is an awesome masterpiece. It is one of the most comprehensive guides to writing a Dissertation/Thesis I have seen and read.

You just saved me from going astray in writing a Dissertation for my undergraduate studies. I could not be more grateful for such a relevant guide like this. Thank you so much.

Maria

Thank you so much Derek, this has been extremely helpful!!

I do have one question though, in the limitations part do you refer to the scope as the focus of the research on a specific industry/country/chronological period? I assume that in order to talk about whether or not the research could be generalized, the above would need to be already presented and described in the introduction.

Thank you again!

Jackson Lubari Wani

Phew! You have genuinely rescued me. I was stuck how to go about my thesis. Now l have started. Thank you.

Valmont Dain

This is the very best guide in anything that has to do with thesis or dissertation writing. The numerous blends of examples and detailed insights make it worth a read and in fact, a treasure that is worthy to be bookmarked.

Thanks a lot for this masterpiece!

Steve

Powerful insight. I can now take a step

Bayaruna

Thank you very much for these valuable introductions to thesis chapters. I saw all your videos about writing the introduction, discussion, and conclusion chapter. Then, I am wondering if we need to explain our research limitations in all three chapters, introduction, discussion, and conclusion? Isn’t it a bit redundant? If not, could you please explain how can we write in different ways? Thank you.

Md. Abdullah-Al-mahbub

Excellent!!! Thank you…

shahrin

Thanks for this informative content. I have a question. The research gap is mentioned in both the introduction and literature section. I would like to know how can I demonstrate the research gap in both sections without repeating the contents?

Sarah

I’m incredibly grateful for this invaluable content. I’ve been dreading compiling my postgrad thesis but breaking each chapter down into sections has made it so much easier for me to engage with the material without feeling overwhelmed. After relying on your guidance, I’m really happy with how I’ve laid out my introduction.

mahdi

Thank you for the informative content you provided

Steven

Hi Derrick and Team, thank you so much for the comprehensive guide on how to write a dissertation or a thesis introduction section. For some of us first-timers, it is a daunting task. However, the instruction with relevant examples makes it clear and easy to follow through. Much appreciated.

Raza Bukhari

It was so helpful. God Bless you. Thanks very much

beza

I thank you Grad coach for your priceless help. I have two questions I have learned from your video the limitations of the research presented in chapter one. but in another video also presented in chapter five. which chapter limitation should be included? If possible, I need your answer since I am doing my thesis. how can I explain If I am asked what is my motivation for this research?

Simon Musa Wuranjiya

Thank you guys for the great work you are doing. Honestly, you have made the research to be interesting and simplified. Even a novice will easily grasp the ideas you put forward, Thank you once again.

Natalie

Excellent piece!

Simon

I feel like just settling for a good topic is usually the hardest part.

Kate

Thank you so much. My confidence has been completely destroyed during my first year of PhD and you have helped me pull myself together again

Happy to help 🙂

Linda Adhoch

I am so glad I ran into your resources and did not waste time doing the wrong this. Research is now making so much sense now.

Danyal Ahmad

Gratitude to Derrick and the team I was looking for a solid article that would aid me in drafting the thesis’ introduction. I felt quite happy when I came across the piece you wrote because it was so well-written and insightful. I wish you success in the future.

ria M

thank you so much. God Bless you

Arnold C

Thank you so much Grad Coach for these helpful insights. Now I can get started, with a great deal of confidence.

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  • Introduction to Problem Statements, Purpose Statements, and Research Questions

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Chapter 1 playlist.

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  • Narrowing Your Topic
  • Problem Statement
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components of chapter 1 in research

Chapter 1 introduces the research problem and the evidence supporting the existence of the problem. It outlines an initial review of the literature on the study topic and articulates the purpose of the study. The definitions of any technical terms necessary for the reader to understand are essential. Chapter 1 also presents the research questions and theoretical foundation (Ph.D.) or conceptual framework (Applied Doctorate) and provides an overview of the research methods (qualitative or quantitative) being used in the study.  

  • Research Feasibility Checklist Use this checklist to make sure your study will be feasible, reasonable, justifiable, and necessary.
  • Alignment Worksheet Use this worksheet to make sure your problem statement, purpose, and research questions are aligned. Alignment indicates the degree to which the purpose of the study follows logically from the problem statement; and the degree to which the research questions help address the study’s purpose. Alignment is important because it helps ensure that the research study is well-designed and based on logical arguments.
  • SOBE Research Design and Chapter 1 Checklist If you are in the School of Business and Economics (SOBE), use this checklist one week before the Communication and Research Design Checkpoint. Work with your Chair to determine if you need to complete this.

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Defining components of the research process needed to conduct and critique studies

  • PMID: 2046040

The research process consists of a five-chapter approach. Chapters one through three are written during the planning stages of a study. Chapter one consists of problem, purpose, hypotheses or research questions, definitions, theoretical framework, and significance for nursing. Chapter two consists of the review of literature. Chapter three consists of the methodology: sample, setting, design, data analysis methods, and ethical concerns. Chapters four and five are written after the study is completed. Chapter four consists of results of data analysis. Chapter five consists of a discussion of results, conclusions, implications for nurses, and recommended future studies. It is important for nurses to review and apply this five-chapter approach when conducting or critiquing research studies.

  • Data Collection
  • Data Interpretation, Statistical
  • Nursing Research / methods*
  • Nursing Research / standards
  • Research Design

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Chapter 14: The Research Proposal

14.3 Components of a Research Proposal

Krathwohl (2005) suggests and describes a variety of components to include in a research proposal. The following sections – Introductions, Background and significance, Literature Review; Research design and methods, Preliminary suppositions and implications; and Conclusion present these components in a suggested template for you to follow in the preparation of your research proposal.

Introduction

The introduction sets the tone for what follows in your research proposal – treat it as the initial pitch of your idea. After reading the introduction your reader should:

  • understand what it is you want to do;
  • have a sense of your passion for the topic; and
  • be excited about the study’s possible outcomes.

As you begin writing your research proposal, it is helpful to think of the introduction as a narrative of what it is you want to do, written in one to three paragraphs. Within those one to three paragraphs, it is important to briefly answer the following questions:

  • What is the central research problem?
  • How is the topic of your research proposal related to the problem?
  • What methods will you utilize to analyze the research problem?
  • Why is it important to undertake this research? What is the significance of your proposed research? Why are the outcomes of your proposed research important? Whom are they important?

Note : You may be asked by your instructor to include an abstract with your research proposal. In such cases, an abstract should provide an overview of what it is you plan to study, your main research question, a brief explanation of your methods to answer the research question, and your expected findings. All of this information must be carefully crafted in 150 to 250 words. A word of advice is to save the writing of your abstract until the very end of your research proposal preparation. If you are asked to provide an abstract, you should include 5 to 7 key words that are of most relevance to your study. List these in order of relevance.

Background and significance

The purpose of this section is to explain the context of your proposal and to describe, in detail, why it is important to undertake this research. Assume that the person or people who will read your research proposal know nothing or very little about the research problem. While you do not need to include all knowledge you have learned about your topic in this section, it is important to ensure that you include the most relevant material that will help to explain the goals of your research.

While there are no hard and fast rules, you should attempt to address some or all of the following key points:

  • State the research problem and provide a more thorough explanation about the purpose of the study than what you stated in the introduction.
  • Present the rationale for the proposed research study. Clearly indicate why this research is worth doing. Answer the “so what?” question.
  • Describe the major issues or problems to be addressed by your research. Do not forget to explain how and in what ways your proposed research builds upon previous related research.
  • Explain how you plan to go about conducting your research.
  • Clearly identify the key or most relevant sources of research you intend to use and explain how they will contribute to your analysis of the topic.
  • Set the boundaries of your proposed research, in order to provide a clear focus. Where appropriate, state not only what you will study, but what will be excluded from your study.
  • Provide clear definitions of key concepts and terms. Since key concepts and terms often have numerous definitions, make sure you state which definition you will be utilizing in your research.

Literature review

This key component of the research proposal is the most time-consuming aspect in the preparation of your research proposal. As described in Chapter 5 , the literature review provides the background to your study and demonstrates the significance of the proposed research. Specifically, it is a review and synthesis of prior research that is related to the problem you are setting forth to investigate. Essentially, your goal in the literature review is to place your research study within the larger whole of what has been studied in the past, while demonstrating to your reader that your work is original, innovative, and adds to the larger whole.

As the literature review is information dense, it is essential that this section be intelligently structured to enable your reader to grasp the key arguments underpinning your study. However, this can be easier to state and harder to do, simply due to the fact there is usually a plethora of related research to sift through. Consequently, a good strategy for writing the literature review is to break the literature into conceptual categories or themes, rather than attempting to describe various groups of literature you reviewed. Chapter 5   describes a variety of methods to help you organize the themes.

Here are some suggestions on how to approach the writing of your literature review:

  • Think about what questions other researchers have asked, what methods they used, what they found, and what they recommended based upon their findings.
  • Do not be afraid to challenge previous related research findings and/or conclusions.
  • Assess what you believe to be missing from previous research and explain how your research fills in this gap and/or extends previous research.

It is important to note that a significant challenge related to undertaking a literature review is knowing when to stop. As such, it is important to know when you have uncovered the key conceptual categories underlying your research topic. Generally, when you start to see repetition in the conclusions or recommendations, you can have confidence that you have covered all of the significant conceptual categories in your literature review. However, it is also important to acknowledge that researchers often find themselves returning to the literature as they collect and analyze their data. For example, an unexpected finding may develop as you collect and/or analyze the data; in this case, it is important to take the time to step back and review the literature again, to ensure that no other researchers have found a similar finding. This may include looking to research outside your field.

This situation occurred with one of this textbook’s authors’ research related to community resilience. During the interviews, the researchers heard many participants discuss individual resilience factors and how they believed these individual factors helped make the community more resilient, overall. Sheppard and Williams (2016) had not discovered these individual factors in their original literature review on community and environmental resilience. However, when they returned to the literature to search for individual resilience factors, they discovered a small body of literature in the child and youth psychology field. Consequently, Sheppard and Williams had to go back and add a new section to their literature review on individual resilience factors. Interestingly, their research appeared to be the first research to link individual resilience factors with community resilience factors.

Research design and methods

The objective of this section of the research proposal is to convince the reader that your overall research design and methods of analysis will enable you to solve the research problem you have identified and also enable you to accurately and effectively interpret the results of your research. Consequently, it is critical that the research design and methods section is well-written, clear, and logically organized. This demonstrates to your reader that you know what you are going to do and how you are going to do it. Overall, you want to leave your reader feeling confident that you have what it takes to get this research study completed in a timely fashion.

Essentially, this section of the research proposal should be clearly tied to the specific objectives of your study; however, it is also important to draw upon and include examples from the literature review that relate to your design and intended methods. In other words, you must clearly demonstrate how your study utilizes and builds upon past studies, as it relates to the research design and intended methods. For example, what methods have been used by other researchers in similar studies?

While it is important to consider the methods that other researchers have employed, it is equally, if not more, important to consider what methods have not been but could be employed. Remember, the methods section is not simply a list of tasks to be undertaken. It is also an argument as to why and how the tasks you have outlined will help you investigate the research problem and answer your research question(s).

Tips for writing the research design and methods section:

Specify the methodological approaches you intend to employ to obtain information and the techniques you will use to analyze the data.

Specify the research operations you will undertake and the way you will interpret the results of those operations in relation to the research problem.

Go beyond stating what you hope to achieve through the methods you have chosen. State how you will actually implement the methods (i.e., coding interview text, running regression analysis, etc.).

Anticipate and acknowledge any potential barriers you may encounter when undertaking your research, and describe how you will address these barriers.

Explain where you believe you will find challenges related to data collection, including access to participants and information.

Preliminary suppositions and implications

The purpose of this section is to argue how you anticipate that your research will refine, revise, or extend existing knowledge in the area of your study. Depending upon the aims and objectives of your study, you should also discuss how your anticipated findings may impact future research. For example, is it possible that your research may lead to a new policy, theoretical understanding, or method for analyzing data? How might your study influence future studies? What might your study mean for future practitioners working in the field? Who or what might benefit from your study? How might your study contribute to social, economic or environmental issues? While it is important to think about and discuss possibilities such as these, it is equally important to be realistic in stating your anticipated findings. In other words, you do not want to delve into idle speculation. Rather, the purpose here is to reflect upon gaps in the current body of literature and to describe how you anticipate your research will begin to fill in some or all of those gaps.

The conclusion reiterates the importance and significance of your research proposal, and provides a brief summary of the entire proposed study. Essentially, this section should only be one or two paragraphs in length. Here is a potential outline for your conclusion:

Discuss why the study should be done. Specifically discuss how you expect your study will advance existing knowledge and how your study is unique.

Explain the specific purpose of the study and the research questions that the study will answer.

Explain why the research design and methods chosen for this study are appropriate, and why other designs and methods were not chosen.

State the potential implications you expect to emerge from your proposed study,

Provide a sense of how your study fits within the broader scholarship currently in existence, related to the research problem.

Citations and references

As with any scholarly research paper, you must cite the sources you used in composing your research proposal. In a research proposal, this can take two forms: a reference list or a bibliography. A reference list lists the literature you referenced in the body of your research proposal. All references in the reference list must appear in the body of the research proposal. Remember, it is not acceptable to say “as cited in …” As a researcher you must always go to the original source and check it for yourself. Many errors are made in referencing, even by top researchers, and so it is important not to perpetuate an error made by someone else. While this can be time consuming, it is the proper way to undertake a literature review.

In contrast, a bibliography , is a list of everything you used or cited in your research proposal, with additional citations to any key sources relevant to understanding the research problem. In other words, sources cited in your bibliography may not necessarily appear in the body of your research proposal. Make sure you check with your instructor to see which of the two you are expected to produce.

Overall, your list of citations should be a testament to the fact that you have done a sufficient level of preliminary research to ensure that your project will complement, but not duplicate, previous research efforts. For social sciences, the reference list or bibliography should be prepared in American Psychological Association (APA) referencing format. Usually, the reference list (or bibliography) is not included in the word count of the research proposal. Again, make sure you check with your instructor to confirm.

Research Methods for the Social Sciences: An Introduction by Valerie Sheppard is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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Chapter 1. Introduction

“Science is in danger, and for that reason it is becoming dangerous” -Pierre Bourdieu, Science of Science and Reflexivity

Why an Open Access Textbook on Qualitative Research Methods?

I have been teaching qualitative research methods to both undergraduates and graduate students for many years.  Although there are some excellent textbooks out there, they are often costly, and none of them, to my mind, properly introduces qualitative research methods to the beginning student (whether undergraduate or graduate student).  In contrast, this open-access textbook is designed as a (free) true introduction to the subject, with helpful, practical pointers on how to conduct research and how to access more advanced instruction.  

Textbooks are typically arranged in one of two ways: (1) by technique (each chapter covers one method used in qualitative research); or (2) by process (chapters advance from research design through publication).  But both of these approaches are necessary for the beginner student.  This textbook will have sections dedicated to the process as well as the techniques of qualitative research.  This is a true “comprehensive” book for the beginning student.  In addition to covering techniques of data collection and data analysis, it provides a road map of how to get started and how to keep going and where to go for advanced instruction.  It covers aspects of research design and research communication as well as methods employed.  Along the way, it includes examples from many different disciplines in the social sciences.

The primary goal has been to create a useful, accessible, engaging textbook for use across many disciplines.  And, let’s face it.  Textbooks can be boring.  I hope readers find this to be a little different.  I have tried to write in a practical and forthright manner, with many lively examples and references to good and intellectually creative qualitative research.  Woven throughout the text are short textual asides (in colored textboxes) by professional (academic) qualitative researchers in various disciplines.  These short accounts by practitioners should help inspire students.  So, let’s begin!

What is Research?

When we use the word research , what exactly do we mean by that?  This is one of those words that everyone thinks they understand, but it is worth beginning this textbook with a short explanation.  We use the term to refer to “empirical research,” which is actually a historically specific approach to understanding the world around us.  Think about how you know things about the world. [1] You might know your mother loves you because she’s told you she does.  Or because that is what “mothers” do by tradition.  Or you might know because you’ve looked for evidence that she does, like taking care of you when you are sick or reading to you in bed or working two jobs so you can have the things you need to do OK in life.  Maybe it seems churlish to look for evidence; you just take it “on faith” that you are loved.

Only one of the above comes close to what we mean by research.  Empirical research is research (investigation) based on evidence.  Conclusions can then be drawn from observable data.  This observable data can also be “tested” or checked.  If the data cannot be tested, that is a good indication that we are not doing research.  Note that we can never “prove” conclusively, through observable data, that our mothers love us.  We might have some “disconfirming evidence” (that time she didn’t show up to your graduation, for example) that could push you to question an original hypothesis , but no amount of “confirming evidence” will ever allow us to say with 100% certainty, “my mother loves me.”  Faith and tradition and authority work differently.  Our knowledge can be 100% certain using each of those alternative methods of knowledge, but our certainty in those cases will not be based on facts or evidence.

For many periods of history, those in power have been nervous about “science” because it uses evidence and facts as the primary source of understanding the world, and facts can be at odds with what power or authority or tradition want you to believe.  That is why I say that scientific empirical research is a historically specific approach to understand the world.  You are in college or university now partly to learn how to engage in this historically specific approach.

In the sixteenth and seventeenth centuries in Europe, there was a newfound respect for empirical research, some of which was seriously challenging to the established church.  Using observations and testing them, scientists found that the earth was not at the center of the universe, for example, but rather that it was but one planet of many which circled the sun. [2]   For the next two centuries, the science of astronomy, physics, biology, and chemistry emerged and became disciplines taught in universities.  All used the scientific method of observation and testing to advance knowledge.  Knowledge about people , however, and social institutions, however, was still left to faith, tradition, and authority.  Historians and philosophers and poets wrote about the human condition, but none of them used research to do so. [3]

It was not until the nineteenth century that “social science” really emerged, using the scientific method (empirical observation) to understand people and social institutions.  New fields of sociology, economics, political science, and anthropology emerged.  The first sociologists, people like Auguste Comte and Karl Marx, sought specifically to apply the scientific method of research to understand society, Engels famously claiming that Marx had done for the social world what Darwin did for the natural world, tracings its laws of development.  Today we tend to take for granted the naturalness of science here, but it is actually a pretty recent and radical development.

To return to the question, “does your mother love you?”  Well, this is actually not really how a researcher would frame the question, as it is too specific to your case.  It doesn’t tell us much about the world at large, even if it does tell us something about you and your relationship with your mother.  A social science researcher might ask, “do mothers love their children?”  Or maybe they would be more interested in how this loving relationship might change over time (e.g., “do mothers love their children more now than they did in the 18th century when so many children died before reaching adulthood?”) or perhaps they might be interested in measuring quality of love across cultures or time periods, or even establishing “what love looks like” using the mother/child relationship as a site of exploration.  All of these make good research questions because we can use observable data to answer them.

What is Qualitative Research?

“All we know is how to learn. How to study, how to listen, how to talk, how to tell.  If we don’t tell the world, we don’t know the world.  We’re lost in it, we die.” -Ursula LeGuin, The Telling

At its simplest, qualitative research is research about the social world that does not use numbers in its analyses.  All those who fear statistics can breathe a sigh of relief – there are no mathematical formulae or regression models in this book! But this definition is less about what qualitative research can be and more about what it is not.  To be honest, any simple statement will fail to capture the power and depth of qualitative research.  One way of contrasting qualitative research to quantitative research is to note that the focus of qualitative research is less about explaining and predicting relationships between variables and more about understanding the social world.  To use our mother love example, the question about “what love looks like” is a good question for the qualitative researcher while all questions measuring love or comparing incidences of love (both of which require measurement) are good questions for quantitative researchers. Patton writes,

Qualitative data describe.  They take us, as readers, into the time and place of the observation so that we know what it was like to have been there.  They capture and communicate someone else’s experience of the world in his or her own words.  Qualitative data tell a story. ( Patton 2002:47 )

Qualitative researchers are asking different questions about the world than their quantitative colleagues.  Even when researchers are employed in “mixed methods” research ( both quantitative and qualitative), they are using different methods to address different questions of the study.  I do a lot of research about first-generation and working-college college students.  Where a quantitative researcher might ask, how many first-generation college students graduate from college within four years? Or does first-generation college status predict high student debt loads?  A qualitative researcher might ask, how does the college experience differ for first-generation college students?  What is it like to carry a lot of debt, and how does this impact the ability to complete college on time?  Both sets of questions are important, but they can only be answered using specific tools tailored to those questions.  For the former, you need large numbers to make adequate comparisons.  For the latter, you need to talk to people, find out what they are thinking and feeling, and try to inhabit their shoes for a little while so you can make sense of their experiences and beliefs.

Examples of Qualitative Research

You have probably seen examples of qualitative research before, but you might not have paid particular attention to how they were produced or realized that the accounts you were reading were the result of hours, months, even years of research “in the field.”  A good qualitative researcher will present the product of their hours of work in such a way that it seems natural, even obvious, to the reader.  Because we are trying to convey what it is like answers, qualitative research is often presented as stories – stories about how people live their lives, go to work, raise their children, interact with one another.  In some ways, this can seem like reading particularly insightful novels.  But, unlike novels, there are very specific rules and guidelines that qualitative researchers follow to ensure that the “story” they are telling is accurate , a truthful rendition of what life is like for the people being studied.  Most of this textbook will be spent conveying those rules and guidelines.  Let’s take a look, first, however, at three examples of what the end product looks like.  I have chosen these three examples to showcase very different approaches to qualitative research, and I will return to these five examples throughout the book.  They were all published as whole books (not chapters or articles), and they are worth the long read, if you have the time.  I will also provide some information on how these books came to be and the length of time it takes to get them into book version.  It is important you know about this process, and the rest of this textbook will help explain why it takes so long to conduct good qualitative research!

Example 1 : The End Game (ethnography + interviews)

Corey Abramson is a sociologist who teaches at the University of Arizona.   In 2015 he published The End Game: How Inequality Shapes our Final Years ( 2015 ). This book was based on the research he did for his dissertation at the University of California-Berkeley in 2012.  Actually, the dissertation was completed in 2012 but the work that was produced that took several years.  The dissertation was entitled, “This is How We Live, This is How We Die: Social Stratification, Aging, and Health in Urban America” ( 2012 ).  You can see how the book version, which was written for a more general audience, has a more engaging sound to it, but that the dissertation version, which is what academic faculty read and evaluate, has a more descriptive title.  You can read the title and know that this is a study about aging and health and that the focus is going to be inequality and that the context (place) is going to be “urban America.”  It’s a study about “how” people do something – in this case, how they deal with aging and death.  This is the very first sentence of the dissertation, “From our first breath in the hospital to the day we die, we live in a society characterized by unequal opportunities for maintaining health and taking care of ourselves when ill.  These disparities reflect persistent racial, socio-economic, and gender-based inequalities and contribute to their persistence over time” ( 1 ).  What follows is a truthful account of how that is so.

Cory Abramson spent three years conducting his research in four different urban neighborhoods.  We call the type of research he conducted “comparative ethnographic” because he designed his study to compare groups of seniors as they went about their everyday business.  It’s comparative because he is comparing different groups (based on race, class, gender) and ethnographic because he is studying the culture/way of life of a group. [4]   He had an educated guess, rooted in what previous research had shown and what social theory would suggest, that people’s experiences of aging differ by race, class, and gender.  So, he set up a research design that would allow him to observe differences.  He chose two primarily middle-class (one was racially diverse and the other was predominantly White) and two primarily poor neighborhoods (one was racially diverse and the other was predominantly African American).  He hung out in senior centers and other places seniors congregated, watched them as they took the bus to get prescriptions filled, sat in doctor’s offices with them, and listened to their conversations with each other.  He also conducted more formal conversations, what we call in-depth interviews, with sixty seniors from each of the four neighborhoods.  As with a lot of fieldwork , as he got closer to the people involved, he both expanded and deepened his reach –

By the end of the project, I expanded my pool of general observations to include various settings frequented by seniors: apartment building common rooms, doctors’ offices, emergency rooms, pharmacies, senior centers, bars, parks, corner stores, shopping centers, pool halls, hair salons, coffee shops, and discount stores. Over the course of the three years of fieldwork, I observed hundreds of elders, and developed close relationships with a number of them. ( 2012:10 )

When Abramson rewrote the dissertation for a general audience and published his book in 2015, it got a lot of attention.  It is a beautifully written book and it provided insight into a common human experience that we surprisingly know very little about.  It won the Outstanding Publication Award by the American Sociological Association Section on Aging and the Life Course and was featured in the New York Times .  The book was about aging, and specifically how inequality shapes the aging process, but it was also about much more than that.  It helped show how inequality affects people’s everyday lives.  For example, by observing the difficulties the poor had in setting up appointments and getting to them using public transportation and then being made to wait to see a doctor, sometimes in standing-room-only situations, when they are unwell, and then being treated dismissively by hospital staff, Abramson allowed readers to feel the material reality of being poor in the US.  Comparing these examples with seniors with adequate supplemental insurance who have the resources to hire car services or have others assist them in arranging care when they need it, jolts the reader to understand and appreciate the difference money makes in the lives and circumstances of us all, and in a way that is different than simply reading a statistic (“80% of the poor do not keep regular doctor’s appointments”) does.  Qualitative research can reach into spaces and places that often go unexamined and then reports back to the rest of us what it is like in those spaces and places.

Example 2: Racing for Innocence (Interviews + Content Analysis + Fictional Stories)

Jennifer Pierce is a Professor of American Studies at the University of Minnesota.  Trained as a sociologist, she has written a number of books about gender, race, and power.  Her very first book, Gender Trials: Emotional Lives in Contemporary Law Firms, published in 1995, is a brilliant look at gender dynamics within two law firms.  Pierce was a participant observer, working as a paralegal, and she observed how female lawyers and female paralegals struggled to obtain parity with their male colleagues.

Fifteen years later, she reexamined the context of the law firm to include an examination of racial dynamics, particularly how elite white men working in these spaces created and maintained a culture that made it difficult for both female attorneys and attorneys of color to thrive. Her book, Racing for Innocence: Whiteness, Gender, and the Backlash Against Affirmative Action , published in 2012, is an interesting and creative blending of interviews with attorneys, content analyses of popular films during this period, and fictional accounts of racial discrimination and sexual harassment.  The law firm she chose to study had come under an affirmative action order and was in the process of implementing equitable policies and programs.  She wanted to understand how recipients of white privilege (the elite white male attorneys) come to deny the role they play in reproducing inequality.  Through interviews with attorneys who were present both before and during the affirmative action order, she creates a historical record of the “bad behavior” that necessitated new policies and procedures, but also, and more importantly , probed the participants ’ understanding of this behavior.  It should come as no surprise that most (but not all) of the white male attorneys saw little need for change, and that almost everyone else had accounts that were different if not sometimes downright harrowing.

I’ve used Pierce’s book in my qualitative research methods courses as an example of an interesting blend of techniques and presentation styles.  My students often have a very difficult time with the fictional accounts she includes.  But they serve an important communicative purpose here.  They are her attempts at presenting “both sides” to an objective reality – something happens (Pierce writes this something so it is very clear what it is), and the two participants to the thing that happened have very different understandings of what this means.  By including these stories, Pierce presents one of her key findings – people remember things differently and these different memories tend to support their own ideological positions.  I wonder what Pierce would have written had she studied the murder of George Floyd or the storming of the US Capitol on January 6 or any number of other historic events whose observers and participants record very different happenings.

This is not to say that qualitative researchers write fictional accounts.  In fact, the use of fiction in our work remains controversial.  When used, it must be clearly identified as a presentation device, as Pierce did.  I include Racing for Innocence here as an example of the multiple uses of methods and techniques and the way that these work together to produce better understandings by us, the readers, of what Pierce studied.  We readers come away with a better grasp of how and why advantaged people understate their own involvement in situations and structures that advantage them.  This is normal human behavior , in other words.  This case may have been about elite white men in law firms, but the general insights here can be transposed to other settings.  Indeed, Pierce argues that more research needs to be done about the role elites play in the reproduction of inequality in the workplace in general.

Example 3: Amplified Advantage (Mixed Methods: Survey Interviews + Focus Groups + Archives)

The final example comes from my own work with college students, particularly the ways in which class background affects the experience of college and outcomes for graduates.  I include it here as an example of mixed methods, and for the use of supplementary archival research.  I’ve done a lot of research over the years on first-generation, low-income, and working-class college students.  I am curious (and skeptical) about the possibility of social mobility today, particularly with the rising cost of college and growing inequality in general.  As one of the few people in my family to go to college, I didn’t grow up with a lot of examples of what college was like or how to make the most of it.  And when I entered graduate school, I realized with dismay that there were very few people like me there.  I worried about becoming too different from my family and friends back home.  And I wasn’t at all sure that I would ever be able to pay back the huge load of debt I was taking on.  And so I wrote my dissertation and first two books about working-class college students.  These books focused on experiences in college and the difficulties of navigating between family and school ( Hurst 2010a, 2012 ).  But even after all that research, I kept coming back to wondering if working-class students who made it through college had an equal chance at finding good jobs and happy lives,

What happens to students after college?  Do working-class students fare as well as their peers?  I knew from my own experience that barriers continued through graduate school and beyond, and that my debtload was higher than that of my peers, constraining some of the choices I made when I graduated.  To answer these questions, I designed a study of students attending small liberal arts colleges, the type of college that tried to equalize the experience of students by requiring all students to live on campus and offering small classes with lots of interaction with faculty.  These private colleges tend to have more money and resources so they can provide financial aid to low-income students.  They also attract some very wealthy students.  Because they enroll students across the class spectrum, I would be able to draw comparisons.  I ended up spending about four years collecting data, both a survey of more than 2000 students (which formed the basis for quantitative analyses) and qualitative data collection (interviews, focus groups, archival research, and participant observation).  This is what we call a “mixed methods” approach because we use both quantitative and qualitative data.  The survey gave me a large enough number of students that I could make comparisons of the how many kind, and to be able to say with some authority that there were in fact significant differences in experience and outcome by class (e.g., wealthier students earned more money and had little debt; working-class students often found jobs that were not in their chosen careers and were very affected by debt, upper-middle-class students were more likely to go to graduate school).  But the survey analyses could not explain why these differences existed.  For that, I needed to talk to people and ask them about their motivations and aspirations.  I needed to understand their perceptions of the world, and it is very hard to do this through a survey.

By interviewing students and recent graduates, I was able to discern particular patterns and pathways through college and beyond.  Specifically, I identified three versions of gameplay.  Upper-middle-class students, whose parents were themselves professionals (academics, lawyers, managers of non-profits), saw college as the first stage of their education and took classes and declared majors that would prepare them for graduate school.  They also spent a lot of time building their resumes, taking advantage of opportunities to help professors with their research, or study abroad.  This helped them gain admission to highly-ranked graduate schools and interesting jobs in the public sector.  In contrast, upper-class students, whose parents were wealthy and more likely to be engaged in business (as CEOs or other high-level directors), prioritized building social capital.  They did this by joining fraternities and sororities and playing club sports.  This helped them when they graduated as they called on friends and parents of friends to find them well-paying jobs.  Finally, low-income, first-generation, and working-class students were often adrift.  They took the classes that were recommended to them but without the knowledge of how to connect them to life beyond college.  They spent time working and studying rather than partying or building their resumes.  All three sets of students thought they were “doing college” the right way, the way that one was supposed to do college.   But these three versions of gameplay led to distinct outcomes that advantaged some students over others.  I titled my work “Amplified Advantage” to highlight this process.

These three examples, Cory Abramson’s The End Game , Jennifer Peirce’s Racing for Innocence, and my own Amplified Advantage, demonstrate the range of approaches and tools available to the qualitative researcher.  They also help explain why qualitative research is so important.  Numbers can tell us some things about the world, but they cannot get at the hearts and minds, motivations and beliefs of the people who make up the social worlds we inhabit.  For that, we need tools that allow us to listen and make sense of what people tell us and show us.  That is what good qualitative research offers us.

How Is This Book Organized?

This textbook is organized as a comprehensive introduction to the use of qualitative research methods.  The first half covers general topics (e.g., approaches to qualitative research, ethics) and research design (necessary steps for building a successful qualitative research study).  The second half reviews various data collection and data analysis techniques.  Of course, building a successful qualitative research study requires some knowledge of data collection and data analysis so the chapters in the first half and the chapters in the second half should be read in conversation with each other.  That said, each chapter can be read on its own for assistance with a particular narrow topic.  In addition to the chapters, a helpful glossary can be found in the back of the book.  Rummage around in the text as needed.

Chapter Descriptions

Chapter 2 provides an overview of the Research Design Process.  How does one begin a study? What is an appropriate research question?  How is the study to be done – with what methods ?  Involving what people and sites?  Although qualitative research studies can and often do change and develop over the course of data collection, it is important to have a good idea of what the aims and goals of your study are at the outset and a good plan of how to achieve those aims and goals.  Chapter 2 provides a road map of the process.

Chapter 3 describes and explains various ways of knowing the (social) world.  What is it possible for us to know about how other people think or why they behave the way they do?  What does it mean to say something is a “fact” or that it is “well-known” and understood?  Qualitative researchers are particularly interested in these questions because of the types of research questions we are interested in answering (the how questions rather than the how many questions of quantitative research).  Qualitative researchers have adopted various epistemological approaches.  Chapter 3 will explore these approaches, highlighting interpretivist approaches that acknowledge the subjective aspect of reality – in other words, reality and knowledge are not objective but rather influenced by (interpreted through) people.

Chapter 4 focuses on the practical matter of developing a research question and finding the right approach to data collection.  In any given study (think of Cory Abramson’s study of aging, for example), there may be years of collected data, thousands of observations , hundreds of pages of notes to read and review and make sense of.  If all you had was a general interest area (“aging”), it would be very difficult, nearly impossible, to make sense of all of that data.  The research question provides a helpful lens to refine and clarify (and simplify) everything you find and collect.  For that reason, it is important to pull out that lens (articulate the research question) before you get started.  In the case of the aging study, Cory Abramson was interested in how inequalities affected understandings and responses to aging.  It is for this reason he designed a study that would allow him to compare different groups of seniors (some middle-class, some poor).  Inevitably, he saw much more in the three years in the field than what made it into his book (or dissertation), but he was able to narrow down the complexity of the social world to provide us with this rich account linked to the original research question.  Developing a good research question is thus crucial to effective design and a successful outcome.  Chapter 4 will provide pointers on how to do this.  Chapter 4 also provides an overview of general approaches taken to doing qualitative research and various “traditions of inquiry.”

Chapter 5 explores sampling .  After you have developed a research question and have a general idea of how you will collect data (Observations?  Interviews?), how do you go about actually finding people and sites to study?  Although there is no “correct number” of people to interview , the sample should follow the research question and research design.  Unlike quantitative research, qualitative research involves nonprobability sampling.  Chapter 5 explains why this is so and what qualities instead make a good sample for qualitative research.

Chapter 6 addresses the importance of reflexivity in qualitative research.  Related to epistemological issues of how we know anything about the social world, qualitative researchers understand that we the researchers can never be truly neutral or outside the study we are conducting.  As observers, we see things that make sense to us and may entirely miss what is either too obvious to note or too different to comprehend.  As interviewers, as much as we would like to ask questions neutrally and remain in the background, interviews are a form of conversation, and the persons we interview are responding to us .  Therefore, it is important to reflect upon our social positions and the knowledges and expectations we bring to our work and to work through any blind spots that we may have.  Chapter 6 provides some examples of reflexivity in practice and exercises for thinking through one’s own biases.

Chapter 7 is a very important chapter and should not be overlooked.  As a practical matter, it should also be read closely with chapters 6 and 8.  Because qualitative researchers deal with people and the social world, it is imperative they develop and adhere to a strong ethical code for conducting research in a way that does not harm.  There are legal requirements and guidelines for doing so (see chapter 8), but these requirements should not be considered synonymous with the ethical code required of us.   Each researcher must constantly interrogate every aspect of their research, from research question to design to sample through analysis and presentation, to ensure that a minimum of harm (ideally, zero harm) is caused.  Because each research project is unique, the standards of care for each study are unique.  Part of being a professional researcher is carrying this code in one’s heart, being constantly attentive to what is required under particular circumstances.  Chapter 7 provides various research scenarios and asks readers to weigh in on the suitability and appropriateness of the research.  If done in a class setting, it will become obvious fairly quickly that there are often no absolutely correct answers, as different people find different aspects of the scenarios of greatest importance.  Minimizing the harm in one area may require possible harm in another.  Being attentive to all the ethical aspects of one’s research and making the best judgments one can, clearly and consciously, is an integral part of being a good researcher.

Chapter 8 , best to be read in conjunction with chapter 7, explains the role and importance of Institutional Review Boards (IRBs) .  Under federal guidelines, an IRB is an appropriately constituted group that has been formally designated to review and monitor research involving human subjects .  Every institution that receives funding from the federal government has an IRB.  IRBs have the authority to approve, require modifications to (to secure approval), or disapprove research.  This group review serves an important role in the protection of the rights and welfare of human research subjects.  Chapter 8 reviews the history of IRBs and the work they do but also argues that IRBs’ review of qualitative research is often both over-inclusive and under-inclusive.  Some aspects of qualitative research are not well understood by IRBs, given that they were developed to prevent abuses in biomedical research.  Thus, it is important not to rely on IRBs to identify all the potential ethical issues that emerge in our research (see chapter 7).

Chapter 9 provides help for getting started on formulating a research question based on gaps in the pre-existing literature.  Research is conducted as part of a community, even if particular studies are done by single individuals (or small teams).  What any of us finds and reports back becomes part of a much larger body of knowledge.  Thus, it is important that we look at the larger body of knowledge before we actually start our bit to see how we can best contribute.  When I first began interviewing working-class college students, there was only one other similar study I could find, and it hadn’t been published (it was a dissertation of students from poor backgrounds).  But there had been a lot published by professors who had grown up working class and made it through college despite the odds.  These accounts by “working-class academics” became an important inspiration for my study and helped me frame the questions I asked the students I interviewed.  Chapter 9 will provide some pointers on how to search for relevant literature and how to use this to refine your research question.

Chapter 10 serves as a bridge between the two parts of the textbook, by introducing techniques of data collection.  Qualitative research is often characterized by the form of data collection – for example, an ethnographic study is one that employs primarily observational data collection for the purpose of documenting and presenting a particular culture or ethnos.  Techniques can be effectively combined, depending on the research question and the aims and goals of the study.   Chapter 10 provides a general overview of all the various techniques and how they can be combined.

The second part of the textbook moves into the doing part of qualitative research once the research question has been articulated and the study designed.  Chapters 11 through 17 cover various data collection techniques and approaches.  Chapters 18 and 19 provide a very simple overview of basic data analysis.  Chapter 20 covers communication of the data to various audiences, and in various formats.

Chapter 11 begins our overview of data collection techniques with a focus on interviewing , the true heart of qualitative research.  This technique can serve as the primary and exclusive form of data collection, or it can be used to supplement other forms (observation, archival).  An interview is distinct from a survey, where questions are asked in a specific order and often with a range of predetermined responses available.  Interviews can be conversational and unstructured or, more conventionally, semistructured , where a general set of interview questions “guides” the conversation.  Chapter 11 covers the basics of interviews: how to create interview guides, how many people to interview, where to conduct the interview, what to watch out for (how to prepare against things going wrong), and how to get the most out of your interviews.

Chapter 12 covers an important variant of interviewing, the focus group.  Focus groups are semistructured interviews with a group of people moderated by a facilitator (the researcher or researcher’s assistant).  Focus groups explicitly use group interaction to assist in the data collection.  They are best used to collect data on a specific topic that is non-personal and shared among the group.  For example, asking a group of college students about a common experience such as taking classes by remote delivery during the pandemic year of 2020.  Chapter 12 covers the basics of focus groups: when to use them, how to create interview guides for them, and how to run them effectively.

Chapter 13 moves away from interviewing to the second major form of data collection unique to qualitative researchers – observation .  Qualitative research that employs observation can best be understood as falling on a continuum of “fly on the wall” observation (e.g., observing how strangers interact in a doctor’s waiting room) to “participant” observation, where the researcher is also an active participant of the activity being observed.  For example, an activist in the Black Lives Matter movement might want to study the movement, using her inside position to gain access to observe key meetings and interactions.  Chapter  13 covers the basics of participant observation studies: advantages and disadvantages, gaining access, ethical concerns related to insider/outsider status and entanglement, and recording techniques.

Chapter 14 takes a closer look at “deep ethnography” – immersion in the field of a particularly long duration for the purpose of gaining a deeper understanding and appreciation of a particular culture or social world.  Clifford Geertz called this “deep hanging out.”  Whereas participant observation is often combined with semistructured interview techniques, deep ethnography’s commitment to “living the life” or experiencing the situation as it really is demands more conversational and natural interactions with people.  These interactions and conversations may take place over months or even years.  As can be expected, there are some costs to this technique, as well as some very large rewards when done competently.  Chapter 14 provides some examples of deep ethnographies that will inspire some beginning researchers and intimidate others.

Chapter 15 moves in the opposite direction of deep ethnography, a technique that is the least positivist of all those discussed here, to mixed methods , a set of techniques that is arguably the most positivist .  A mixed methods approach combines both qualitative data collection and quantitative data collection, commonly by combining a survey that is analyzed statistically (e.g., cross-tabs or regression analyses of large number probability samples) with semi-structured interviews.  Although it is somewhat unconventional to discuss mixed methods in textbooks on qualitative research, I think it is important to recognize this often-employed approach here.  There are several advantages and some disadvantages to taking this route.  Chapter 16 will describe those advantages and disadvantages and provide some particular guidance on how to design a mixed methods study for maximum effectiveness.

Chapter 16 covers data collection that does not involve live human subjects at all – archival and historical research (chapter 17 will also cover data that does not involve interacting with human subjects).  Sometimes people are unavailable to us, either because they do not wish to be interviewed or observed (as is the case with many “elites”) or because they are too far away, in both place and time.  Fortunately, humans leave many traces and we can often answer questions we have by examining those traces.  Special collections and archives can be goldmines for social science research.  This chapter will explain how to access these places, for what purposes, and how to begin to make sense of what you find.

Chapter 17 covers another data collection area that does not involve face-to-face interaction with humans: content analysis .  Although content analysis may be understood more properly as a data analysis technique, the term is often used for the entire approach, which will be the case here.  Content analysis involves interpreting meaning from a body of text.  This body of text might be something found in historical records (see chapter 16) or something collected by the researcher, as in the case of comment posts on a popular blog post.  I once used the stories told by student loan debtors on the website studentloanjustice.org as the content I analyzed.  Content analysis is particularly useful when attempting to define and understand prevalent stories or communication about a topic of interest.  In other words, when we are less interested in what particular people (our defined sample) are doing or believing and more interested in what general narratives exist about a particular topic or issue.  This chapter will explore different approaches to content analysis and provide helpful tips on how to collect data, how to turn that data into codes for analysis, and how to go about presenting what is found through analysis.

Where chapter 17 has pushed us towards data analysis, chapters 18 and 19 are all about what to do with the data collected, whether that data be in the form of interview transcripts or fieldnotes from observations.  Chapter 18 introduces the basics of coding , the iterative process of assigning meaning to the data in order to both simplify and identify patterns.  What is a code and how does it work?  What are the different ways of coding data, and when should you use them?  What is a codebook, and why do you need one?  What does the process of data analysis look like?

Chapter 19 goes further into detail on codes and how to use them, particularly the later stages of coding in which our codes are refined, simplified, combined, and organized.  These later rounds of coding are essential to getting the most out of the data we’ve collected.  As students are often overwhelmed with the amount of data (a corpus of interview transcripts typically runs into the hundreds of pages; fieldnotes can easily top that), this chapter will also address time management and provide suggestions for dealing with chaos and reminders that feeling overwhelmed at the analysis stage is part of the process.  By the end of the chapter, you should understand how “findings” are actually found.

The book concludes with a chapter dedicated to the effective presentation of data results.  Chapter 20 covers the many ways that researchers communicate their studies to various audiences (academic, personal, political), what elements must be included in these various publications, and the hallmarks of excellent qualitative research that various audiences will be expecting.  Because qualitative researchers are motivated by understanding and conveying meaning , effective communication is not only an essential skill but a fundamental facet of the entire research project.  Ethnographers must be able to convey a certain sense of verisimilitude , the appearance of true reality.  Those employing interviews must faithfully depict the key meanings of the people they interviewed in a way that rings true to those people, even if the end result surprises them.  And all researchers must strive for clarity in their publications so that various audiences can understand what was found and why it is important.

The book concludes with a short chapter ( chapter 21 ) discussing the value of qualitative research. At the very end of this book, you will find a glossary of terms. I recommend you make frequent use of the glossary and add to each entry as you find examples. Although the entries are meant to be simple and clear, you may also want to paraphrase the definition—make it “make sense” to you, in other words. In addition to the standard reference list (all works cited here), you will find various recommendations for further reading at the end of many chapters. Some of these recommendations will be examples of excellent qualitative research, indicated with an asterisk (*) at the end of the entry. As they say, a picture is worth a thousand words. A good example of qualitative research can teach you more about conducting research than any textbook can (this one included). I highly recommend you select one to three examples from these lists and read them along with the textbook.

A final note on the choice of examples – you will note that many of the examples used in the text come from research on college students.  This is for two reasons.  First, as most of my research falls in this area, I am most familiar with this literature and have contacts with those who do research here and can call upon them to share their stories with you.  Second, and more importantly, my hope is that this textbook reaches a wide audience of beginning researchers who study widely and deeply across the range of what can be known about the social world (from marine resources management to public policy to nursing to political science to sexuality studies and beyond).  It is sometimes difficult to find examples that speak to all those research interests, however. A focus on college students is something that all readers can understand and, hopefully, appreciate, as we are all now or have been at some point a college student.

Recommended Reading: Other Qualitative Research Textbooks

I’ve included a brief list of some of my favorite qualitative research textbooks and guidebooks if you need more than what you will find in this introductory text.  For each, I’ve also indicated if these are for “beginning” or “advanced” (graduate-level) readers.  Many of these books have several editions that do not significantly vary; the edition recommended is merely the edition I have used in teaching and to whose page numbers any specific references made in the text agree.

Barbour, Rosaline. 2014. Introducing Qualitative Research: A Student’s Guide. Thousand Oaks, CA: SAGE.  A good introduction to qualitative research, with abundant examples (often from the discipline of health care) and clear definitions.  Includes quick summaries at the ends of each chapter.  However, some US students might find the British context distracting and can be a bit advanced in some places.  Beginning .

Bloomberg, Linda Dale, and Marie F. Volpe. 2012. Completing Your Qualitative Dissertation . 2nd ed. Thousand Oaks, CA: SAGE.  Specifically designed to guide graduate students through the research process. Advanced .

Creswell, John W., and Cheryl Poth. 2018 Qualitative Inquiry and Research Design: Choosing among Five Traditions .  4th ed. Thousand Oaks, CA: SAGE.  This is a classic and one of the go-to books I used myself as a graduate student.  One of the best things about this text is its clear presentation of five distinct traditions in qualitative research.  Despite the title, this reasonably sized book is about more than research design, including both data analysis and how to write about qualitative research.  Advanced .

Lareau, Annette. 2021. Listening to People: A Practical Guide to Interviewing, Participant Observation, Data Analysis, and Writing It All Up .  Chicago: University of Chicago Press. A readable and personal account of conducting qualitative research by an eminent sociologist, with a heavy emphasis on the kinds of participant-observation research conducted by the author.  Despite its reader-friendliness, this is really a book targeted to graduate students learning the craft.  Advanced .

Lune, Howard, and Bruce L. Berg. 2018. 9th edition.  Qualitative Research Methods for the Social Sciences.  Pearson . Although a good introduction to qualitative methods, the authors favor symbolic interactionist and dramaturgical approaches, which limits the appeal primarily to sociologists.  Beginning .

Marshall, Catherine, and Gretchen B. Rossman. 2016. 6th edition. Designing Qualitative Research. Thousand Oaks, CA: SAGE.  Very readable and accessible guide to research design by two educational scholars.  Although the presentation is sometimes fairly dry, personal vignettes and illustrations enliven the text.  Beginning .

Maxwell, Joseph A. 2013. Qualitative Research Design: An Interactive Approach .  3rd ed. Thousand Oaks, CA: SAGE. A short and accessible introduction to qualitative research design, particularly helpful for graduate students contemplating theses and dissertations. This has been a standard textbook in my graduate-level courses for years.  Advanced .

Patton, Michael Quinn. 2002. Qualitative Research and Evaluation Methods . Thousand Oaks, CA: SAGE.  This is a comprehensive text that served as my “go-to” reference when I was a graduate student.  It is particularly helpful for those involved in program evaluation and other forms of evaluation studies and uses examples from a wide range of disciplines.  Advanced .

Rubin, Ashley T. 2021. Rocking Qualitative Social Science: An Irreverent Guide to Rigorous Research. Stanford : Stanford University Press.  A delightful and personal read.  Rubin uses rock climbing as an extended metaphor for learning how to conduct qualitative research.  A bit slanted toward ethnographic and archival methods of data collection, with frequent examples from her own studies in criminology. Beginning .

Weis, Lois, and Michelle Fine. 2000. Speed Bumps: A Student-Friendly Guide to Qualitative Research . New York: Teachers College Press.  Readable and accessibly written in a quasi-conversational style.  Particularly strong in its discussion of ethical issues throughout the qualitative research process.  Not comprehensive, however, and very much tied to ethnographic research.  Although designed for graduate students, this is a recommended read for students of all levels.  Beginning .

Patton’s Ten Suggestions for Doing Qualitative Research

The following ten suggestions were made by Michael Quinn Patton in his massive textbooks Qualitative Research and Evaluations Methods . This book is highly recommended for those of you who want more than an introduction to qualitative methods. It is the book I relied on heavily when I was a graduate student, although it is much easier to “dip into” when necessary than to read through as a whole. Patton is asked for “just one bit of advice” for a graduate student considering using qualitative research methods for their dissertation.  Here are his top ten responses, in short form, heavily paraphrased, and with additional comments and emphases from me:

  • Make sure that a qualitative approach fits the research question. The following are the kinds of questions that call out for qualitative methods or where qualitative methods are particularly appropriate: questions about people’s experiences or how they make sense of those experiences; studying a person in their natural environment; researching a phenomenon so unknown that it would be impossible to study it with standardized instruments or other forms of quantitative data collection.
  • Study qualitative research by going to the original sources for the design and analysis appropriate to the particular approach you want to take (e.g., read Glaser and Straus if you are using grounded theory )
  • Find a dissertation adviser who understands or at least who will support your use of qualitative research methods. You are asking for trouble if your entire committee is populated by quantitative researchers, even if they are all very knowledgeable about the subject or focus of your study (maybe even more so if they are!)
  • Really work on design. Doing qualitative research effectively takes a lot of planning.  Even if things are more flexible than in quantitative research, a good design is absolutely essential when starting out.
  • Practice data collection techniques, particularly interviewing and observing. There is definitely a set of learned skills here!  Do not expect your first interview to be perfect.  You will continue to grow as a researcher the more interviews you conduct, and you will probably come to understand yourself a bit more in the process, too.  This is not easy, despite what others who don’t work with qualitative methods may assume (and tell you!)
  • Have a plan for analysis before you begin data collection. This is often a requirement in IRB protocols , although you can get away with writing something fairly simple.  And even if you are taking an approach, such as grounded theory, that pushes you to remain fairly open-minded during the data collection process, you still want to know what you will be doing with all the data collected – creating a codebook? Writing analytical memos? Comparing cases?  Having a plan in hand will also help prevent you from collecting too much extraneous data.
  • Be prepared to confront controversies both within the qualitative research community and between qualitative research and quantitative research. Don’t be naïve about this – qualitative research, particularly some approaches, will be derided by many more “positivist” researchers and audiences.  For example, is an “n” of 1 really sufficient?  Yes!  But not everyone will agree.
  • Do not make the mistake of using qualitative research methods because someone told you it was easier, or because you are intimidated by the math required of statistical analyses. Qualitative research is difficult in its own way (and many would claim much more time-consuming than quantitative research).  Do it because you are convinced it is right for your goals, aims, and research questions.
  • Find a good support network. This could be a research mentor, or it could be a group of friends or colleagues who are also using qualitative research, or it could be just someone who will listen to you work through all of the issues you will confront out in the field and during the writing process.  Even though qualitative research often involves human subjects, it can be pretty lonely.  A lot of times you will feel like you are working without a net.  You have to create one for yourself.  Take care of yourself.
  • And, finally, in the words of Patton, “Prepare to be changed. Looking deeply at other people’s lives will force you to look deeply at yourself.”
  • We will actually spend an entire chapter ( chapter 3 ) looking at this question in much more detail! ↵
  • Note that this might have been news to Europeans at the time, but many other societies around the world had also come to this conclusion through observation.  There is often a tendency to equate “the scientific revolution” with the European world in which it took place, but this is somewhat misleading. ↵
  • Historians are a special case here.  Historians have scrupulously and rigorously investigated the social world, but not for the purpose of understanding general laws about how things work, which is the point of scientific empirical research.  History is often referred to as an idiographic field of study, meaning that it studies things that happened or are happening in themselves and not for general observations or conclusions. ↵
  • Don’t worry, we’ll spend more time later in this book unpacking the meaning of ethnography and other terms that are important here.  Note the available glossary ↵

An approach to research that is “multimethod in focus, involving an interpretative, naturalistic approach to its subject matter.  This means that qualitative researchers study things in their natural settings, attempting to make sense of, or interpret, phenomena in terms of the meanings people bring to them.  Qualitative research involves the studied use and collection of a variety of empirical materials – case study, personal experience, introspective, life story, interview, observational, historical, interactional, and visual texts – that describe routine and problematic moments and meanings in individuals’ lives." ( Denzin and Lincoln 2005:2 ). Contrast with quantitative research .

In contrast to methodology, methods are more simply the practices and tools used to collect and analyze data.  Examples of common methods in qualitative research are interviews , observations , and documentary analysis .  One’s methodology should connect to one’s choice of methods, of course, but they are distinguishable terms.  See also methodology .

A proposed explanation for an observation, phenomenon, or scientific problem that can be tested by further investigation.  The positing of a hypothesis is often the first step in quantitative research but not in qualitative research.  Even when qualitative researchers offer possible explanations in advance of conducting research, they will tend to not use the word “hypothesis” as it conjures up the kind of positivist research they are not conducting.

The foundational question to be addressed by the research study.  This will form the anchor of the research design, collection, and analysis.  Note that in qualitative research, the research question may, and probably will, alter or develop during the course of the research.

An approach to research that collects and analyzes numerical data for the purpose of finding patterns and averages, making predictions, testing causal relationships, and generalizing results to wider populations.  Contrast with qualitative research .

Data collection that takes place in real-world settings, referred to as “the field;” a key component of much Grounded Theory and ethnographic research.  Patton ( 2002 ) calls fieldwork “the central activity of qualitative inquiry” where “‘going into the field’ means having direct and personal contact with people under study in their own environments – getting close to people and situations being studied to personally understand the realities of minutiae of daily life” (48).

The people who are the subjects of a qualitative study.  In interview-based studies, they may be the respondents to the interviewer; for purposes of IRBs, they are often referred to as the human subjects of the research.

The branch of philosophy concerned with knowledge.  For researchers, it is important to recognize and adopt one of the many distinguishing epistemological perspectives as part of our understanding of what questions research can address or fully answer.  See, e.g., constructivism , subjectivism, and  objectivism .

An approach that refutes the possibility of neutrality in social science research.  All research is “guided by a set of beliefs and feelings about the world and how it should be understood and studied” (Denzin and Lincoln 2005: 13).  In contrast to positivism , interpretivism recognizes the social constructedness of reality, and researchers adopting this approach focus on capturing interpretations and understandings people have about the world rather than “the world” as it is (which is a chimera).

The cluster of data-collection tools and techniques that involve observing interactions between people, the behaviors, and practices of individuals (sometimes in contrast to what they say about how they act and behave), and cultures in context.  Observational methods are the key tools employed by ethnographers and Grounded Theory .

Research based on data collected and analyzed by the research (in contrast to secondary “library” research).

The process of selecting people or other units of analysis to represent a larger population. In quantitative research, this representation is taken quite literally, as statistically representative.  In qualitative research, in contrast, sample selection is often made based on potential to generate insight about a particular topic or phenomenon.

A method of data collection in which the researcher asks the participant questions; the answers to these questions are often recorded and transcribed verbatim. There are many different kinds of interviews - see also semistructured interview , structured interview , and unstructured interview .

The specific group of individuals that you will collect data from.  Contrast population.

The practice of being conscious of and reflective upon one’s own social location and presence when conducting research.  Because qualitative research often requires interaction with live humans, failing to take into account how one’s presence and prior expectations and social location affect the data collected and how analyzed may limit the reliability of the findings.  This remains true even when dealing with historical archives and other content.  Who we are matters when asking questions about how people experience the world because we, too, are a part of that world.

The science and practice of right conduct; in research, it is also the delineation of moral obligations towards research participants, communities to which we belong, and communities in which we conduct our research.

An administrative body established to protect the rights and welfare of human research subjects recruited to participate in research activities conducted under the auspices of the institution with which it is affiliated. The IRB is charged with the responsibility of reviewing all research involving human participants. The IRB is concerned with protecting the welfare, rights, and privacy of human subjects. The IRB has the authority to approve, disapprove, monitor, and require modifications in all research activities that fall within its jurisdiction as specified by both the federal regulations and institutional policy.

Research, according to US federal guidelines, that involves “a living individual about whom an investigator (whether professional or student) conducting research:  (1) Obtains information or biospecimens through intervention or interaction with the individual, and uses, studies, or analyzes the information or biospecimens; or  (2) Obtains, uses, studies, analyzes, or generates identifiable private information or identifiable biospecimens.”

One of the primary methodological traditions of inquiry in qualitative research, ethnography is the study of a group or group culture, largely through observational fieldwork supplemented by interviews. It is a form of fieldwork that may include participant-observation data collection. See chapter 14 for a discussion of deep ethnography. 

A form of interview that follows a standard guide of questions asked, although the order of the questions may change to match the particular needs of each individual interview subject, and probing “follow-up” questions are often added during the course of the interview.  The semi-structured interview is the primary form of interviewing used by qualitative researchers in the social sciences.  It is sometimes referred to as an “in-depth” interview.  See also interview and  interview guide .

A method of observational data collection taking place in a natural setting; a form of fieldwork .  The term encompasses a continuum of relative participation by the researcher (from full participant to “fly-on-the-wall” observer).  This is also sometimes referred to as ethnography , although the latter is characterized by a greater focus on the culture under observation.

A research design that employs both quantitative and qualitative methods, as in the case of a survey supplemented by interviews.

An epistemological perspective that posits the existence of reality through sensory experience similar to empiricism but goes further in denying any non-sensory basis of thought or consciousness.  In the social sciences, the term has roots in the proto-sociologist August Comte, who believed he could discern “laws” of society similar to the laws of natural science (e.g., gravity).  The term has come to mean the kinds of measurable and verifiable science conducted by quantitative researchers and is thus used pejoratively by some qualitative researchers interested in interpretation, consciousness, and human understanding.  Calling someone a “positivist” is often intended as an insult.  See also empiricism and objectivism.

A place or collection containing records, documents, or other materials of historical interest; most universities have an archive of material related to the university’s history, as well as other “special collections” that may be of interest to members of the community.

A method of both data collection and data analysis in which a given content (textual, visual, graphic) is examined systematically and rigorously to identify meanings, themes, patterns and assumptions.  Qualitative content analysis (QCA) is concerned with gathering and interpreting an existing body of material.    

A word or short phrase that symbolically assigns a summative, salient, essence-capturing, and/or evocative attribute for a portion of language-based or visual data (Saldaña 2021:5).

Usually a verbatim written record of an interview or focus group discussion.

The primary form of data for fieldwork , participant observation , and ethnography .  These notes, taken by the researcher either during the course of fieldwork or at day’s end, should include as many details as possible on what was observed and what was said.  They should include clear identifiers of date, time, setting, and names (or identifying characteristics) of participants.

The process of labeling and organizing qualitative data to identify different themes and the relationships between them; a way of simplifying data to allow better management and retrieval of key themes and illustrative passages.  See coding frame and  codebook.

A methodological tradition of inquiry and approach to analyzing qualitative data in which theories emerge from a rigorous and systematic process of induction.  This approach was pioneered by the sociologists Glaser and Strauss (1967).  The elements of theory generated from comparative analysis of data are, first, conceptual categories and their properties and, second, hypotheses or generalized relations among the categories and their properties – “The constant comparing of many groups draws the [researcher’s] attention to their many similarities and differences.  Considering these leads [the researcher] to generate abstract categories and their properties, which, since they emerge from the data, will clearly be important to a theory explaining the kind of behavior under observation.” (36).

A detailed description of any proposed research that involves human subjects for review by IRB.  The protocol serves as the recipe for the conduct of the research activity.  It includes the scientific rationale to justify the conduct of the study, the information necessary to conduct the study, the plan for managing and analyzing the data, and a discussion of the research ethical issues relevant to the research.  Protocols for qualitative research often include interview guides, all documents related to recruitment, informed consent forms, very clear guidelines on the safekeeping of materials collected, and plans for de-identifying transcripts or other data that include personal identifying information.

Introduction to Qualitative Research Methods Copyright © 2023 by Allison Hurst is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License , except where otherwise noted.

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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.

Structure of a research proposal

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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components of chapter 1 in research

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

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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Regions & Countries

1. attitudes toward different types of government systems.

Respondents in 24 countries were asked about different forms of governance, including representative democracy, direct democracy, autocracy, technocracy and military rule.

  • Majorities in every country polled say that a system in which democratically elected representatives decide what becomes law would be a good way to run their country.
  • Direct democracy also receives widespread support.
  • Expert rule is popular in many countries, and support has increased since the question was last asked in 2017.
  • Systems led by a strong leader or the military are less popular options, although significant minorities – and in some cases, majorities – endorse these approaches.

Views on representative democracy

Bar chart showing there is widespread support for representative democracy across 24 countries surveyed. A median of 77% say a system where representatives elected by citizens decide what becomes law would be a good way of governing.

Elements of representative democracy are present in each of the countries surveyed. And although many express dissatisfaction with the way democracy is working in their country , majorities in all of these countries believe representative democracy to be a somewhat or very good form of governance.

Across the 24 nations polled, a median of 77% express support for representative democracy.

Despite frustration with the functioning of democracy, a median of only 20% believe that rule by elected representatives is a bad way to govern.

Changes in views over time

Table showing that confidence in governing by representative democracy has declined in 10 of 22 nations since 2017. The largest declines are in Sweden, Kenya, Canada, the UK and Nigeria.

The overall share of the public saying that democracy is a good system has held steady in most countries since 2017.

However, the share of respondents who say representative democracy is a very good way to govern has declined significantly in 10 of 22 countries where trends are available.

Factors related to views on representative democracy

Views of democracy, elected officials and parties: In most countries, those who report satisfaction with the functioning of democracy are more likely to say that representative democracy is a good system.

In 19 countries, this type of government is especially popular among respondents who think their views are represented by at least one party. And in half the countries surveyed, support for representative democracy is higher among those who believe elected representatives care about their opinions. 

Economic situation: Opinions about the state of the economy are also related to views about representative democracy. Those who say their country’s economic situation is good are more likely to support representative democracy in about half of the countries surveyed.

Income: In nine countries, people with higher incomes are more likely to say that this is a good way to govern than people with lower incomes.

Education: Those who have more education have more favorable views of representative democracy than those with less education in 11 countries.

Views on direct democracy

Bar chart showing that across 24 countries, most say a democratic system where citizens, not elected officials, vote directly on issues to decide what becomes law would be a good way of governing. A median of 70% support this view.

We also asked respondents about direct democracy, described as a system where citizens, rather than their elected representatives, vote directly on major national issues.

Of the five systems respondents were asked about, direct democracy is the second-most popular. A median of 70% say it would be a good way to run their country, and around half or more say this in every country surveyed.

Support for rule by direct vote is lowest in Sweden, where opinion is split: 49% say it is a good way to govern and 49% say it is bad.

Support for direct democracy has seen little change since 2017. Notably, however, it is up by 7 percentage points in the UK.

The last time British respondents were asked about direct democracy was less than a year after the Brexit referendum, when 52% of the votes were cast in favor of the UK withdrawing from membership in the European Union . Brexit took effect in January 2020 .

Connections between views of elected officials and direct democracy

Dot plot showing that in a third of countries surveyed, people are more likely to favor governing by direct democracy if they feel that elected officials do not care what people like them think.

Respondents’ attitudes toward politicians in their own countries inform their view of rule by direct vote.

In a third of countries surveyed, respondents are more likely to favor direct democracy if they say that elected officials do not care what people like them think.

Views on expert rule

Bar chart showing that across 24 countries, there is considerable support for a governing system in which experts, not elected officials, make decisions. A median of 58% hold this view.

In addition to the two forms of democracy, respondents were asked about their attitudes toward technocracy. This system of government relies on experts, rather than elected officials, to make decisions according to what they think is best for the country.

Majorities in two-thirds of the countries surveyed say this would be a good way to govern. And in Hungary and India, roughly eight-in-ten favor it.

Favorable views are least common in Brazil, France and Israel. Still, about four-in-ten in each of these nations would trust experts to run the country.

Table showing that since 2017, the share of the public favoring a system in which experts, not elected officials, make decisions has gone up in most of the countries surveyed. Increases were highest in Greece and Mexico.

Since 2017, the number of technocracy supporters has gone up in most of the countries surveyed.

This shift could be tied, at least in part, to the COVID-19 pandemic. Since 2020, many have turned to scientists and medical professionals for their expertise on how to manage the crisis.

Analysis in the U.S. shows that support for expert rule is related to perceptions of experts during the pandemic. Among the people who believe public health officials have done a good job of responding to COVID-19, 59% think expert rule is a good governmental system, compared with just 35% among those who say public health officials have done a bad job of dealing with the pandemic.

Views on autocracy

Bar chart across 24 countries showing that in all but five countries surveyed, majorities reject governance by a strong leader who makes decisions without interference from parliament or the courts. Still, a median of 26% are open to this idea.

Respondents were asked to consider a system in which a strong leader is free to make decisions without interference from a representative body or independent judiciary.

Autocratic rule is generally unpopular: In all but five of the countries surveyed, majorities reject it. In Canada and most of Europe, half or more say that it is a very bad way to govern.

Still, a median of around a quarter of all respondents are open to it, including large shares of those living in most middle-income countries.

In Mexico and Kenya, views are roughly split between those who say it is a good way to govern and those who say it is bad. Two-thirds of Indians and about half of Indonesians endorse this form of government.

Even in higher-income democracies, substantial minorities describe rule by a strong leader as a good way to govern, including one-in-four or more in Japan, Poland, South Korea, the UK and the U.S.

Overall, a country’s gross domestic product is linked to the share of the public who support autocratic rule. Countries with a higher GDP per capita tend to have fewer people who think rule by a strong leader is a good way to govern.

Scatter plot chart of 24 countries comparing per-capita gross domestic product with views of rule by a strong leader who makes decisions without parliament or the courts. In countries with higher GDP per capita, fewer people think autocracy is a good way to govern.

The U.S. stands out to some extent from this pattern: It has the highest per-capita GDP of the countries surveyed, but about half of the other countries express less support for autocracy than the U.S.

Overall, support for a strong leader model is also lower in countries that receive higher ratings from research organizations that rate the health of democracy, such as the Economist Intelligence Unit , Freedom House , International IDEA and the Varieties of Democracy project .

Table showing that in eight of 22 countries surveyed, the share who say rule by a strong leader is a good way to govern has gone up.

In eight of 22 countries where trends over time are available, the share of respondents who say rule by a strong leader is a good way to govern has gone up. This group of countries is diverse and includes some in Latin America, Africa, Asia and Europe.

Support for a strong leader model is down in four nations: Hungary, Israel, Italy and Sweden. 2  

Factors related to views of autocracy

Dot plot showing that in 13 of 18 countries where ideology is measured, people on the political right are less likely to see a rule by a strong leader as a very bad way to govern.

Income: People with lower incomes are more accepting of the idea of a strong leader whose power goes unchecked in 11 countries.

Education: In 15 countries, those with less education are more likely than those with more education to say an autocratic system is a good way of governing.

Ideology: Those on the political right are less likely to say rule by a strong leader is a very bad way to govern in 13 of the 18 countries where ideology is measured – including most of the European countries in our survey and several other advanced economies.

In particular, people who have favorable views of right-wing populist parties in Europe are less likely to characterize autocracy as a very bad system. Often, the difference is considerable: In Germany, 24% of those who favor Alternative for Germany (AfD) say that rule by a strong leader is very bad. The share who strongly reject autocracy is much higher among Germans who view AfD unfavorably (54%). (Refer to Appendix B for more information on how we classify populist parties.)

Views on military rule

Bar chart showing that in over half of 24 countries surveyed, majorities believe rule by the military would be a very bad way to govern. A median of just 15% say it would be a good way to run the country.

Of the five systems of government that respondents were asked about, military rule is the least popular. A median of only 15% across 24 countries, including some who have previously experienced military rule, think this would be a good way to run their country. In over half of the countries surveyed, majorities believe it would be a very bad way to govern.

In North America, Europe, Australia, Israel and South Korea, military rule is decidedly unpopular: Eight-in-ten or more call it a bad system.

There has been relatively little change on this question since it was last asked in 2017.

Factors related to views on military rule

Dot plot showing that in 13 countries surveyed, those on the ideological right are less likely than those on the left to say rule by the military is a very bad way to govern.

Education: In 16 countries, people who have less education are more accepting of military rule.

Income: In 14 countries, there is more support for military rule among those with lower incomes, compared with those with higher incomes.

Ideology: As with autocracy, those on the ideological right are more open to rule by the military. In 13 countries, right-leaning respondents are less likely to say that military rule is a very bad way to govern than those on the ideological left. Similarly, supporters of right-wing populists are less inclined to believe this type of system is very bad.

  • Israel survey was conducted March 15-April 24, 2023, before Hamas’ attack on Israel on Oct. 7 and the start of the Israel-Hamas war. ↩

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Unraveling the Mystery of Dark Matter: Exploring the Enigmatic Cosmic Entity

D ark matter, an enigmatic cosmic entity, continues to captivate scientists and astronomers alike with its elusive nature and profound implications for our understanding of the universe. Despite decades of research and observation, dark matter remains one of the most elusive and mysterious components of the cosmos, prompting scientists to delve deeper into its nature and properties. In this article, we embark on a journey to unravel the mysteries of dark matter, exploring its significance, current theories, observational methods, and ongoing research efforts aimed at shedding light on this cosmic enigma.

Understanding Dark Matter

Dark matter is a hypothetical form of matter that does not emit, absorb, or reflect light, making it invisible and detectable only through its gravitational effects on visible matter and light. It comprises approximately 27% of the total mass-energy content of the universe, exerting a gravitational influence that shapes the large-scale structure of galaxies and clusters.

Theoretical Models and Current Research

Several theoretical models have been proposed to explain the nature of dark matter, including cold dark matter (CDM), warm dark matter (WDM), and axions. While the CDM model is the most widely accepted due to its ability to accurately predict the large-scale structure of the universe, ongoing research seeks to refine and expand our understanding of dark matter’s properties and behavior.

Observational Methods and Detection Techniques

Despite its invisibility, dark matter’s gravitational effects can be observed through various astrophysical phenomena, such as gravitational lensing, galaxy rotation curves, and the cosmic microwave background. Scientists also conduct experiments in particle physics laboratories to search for hypothetical dark matter particles, employing sensitive detectors and colliders to probe their existence and properties.

Implications for Cosmology and Particle Physics

Understanding dark matter is crucial for addressing fundamental questions about the universe’s composition, structure, and evolution. It has profound implications for cosmology, particle physics, and our understanding of the fundamental forces governing the universe. Unraveling the mysteries of dark matter could unlock new insights into the nature of reality and the origins of the cosmos.

What is dark matter?

Why is dark matter important?

Dark matter plays a crucial role in the formation and evolution of cosmic structures, such as galaxies, galaxy clusters, and the cosmic web. Its gravitational pull acts as a scaffolding for the formation of galaxies, holding them together and influencing their dynamics. Understanding the nature of dark matter is essential for comprehending the underlying mechanisms driving the universe’s evolution.

What are the current theories about dark matter?

Several theoretical models have been proposed to explain the nature of dark matter, including cold dark matter (CDM), warm dark matter (WDM), and axions. The CDM model, which posits that dark matter consists of slow-moving particles, is the most widely accepted theory due to its ability to accurately predict the large-scale structure of the universe.

How is dark matter detected and studied?

What are the implications of dark matter research?

As scientists continue to probe the depths of space and delve into the mysteries of dark matter, they embark on a quest to unravel one of the universe’s most profound enigmas. With cutting-edge technology, innovative research methods, interdisciplinary collaboration, and ongoing efforts to expand our understanding of the cosmos, scientists are poised to illuminate the elusive nature of dark matter and unlock the secrets of the universe’s hidden realms.

Unraveling the Mystery of Dark Matter: Exploring the Enigmatic Cosmic Entity 4

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  1. Q: What do I include in chapter one of my research project?

    Learn what to include in chapter one of your research project, such as study background, statement of the problem, purpose of the study, research question(s), significance of the study, and more. Find out the difference between chapter one and chapter two, and how to write a clear and concise chapter one.

  2. PDF A Complete Dissertation

    1. Introduction 2. Literature review 3. Methodology 4. Findings 5. Analysis and synthesis 6. Conclusions and recommendations Chapter 1: Introduction This chapter makes a case for the signifi-cance of the problem, contextualizes the study, and provides an introduction to its basic components. It should be informative and able to stand alone as a ...

  3. How to Write Chapter One of Research Projects

    A PRACTICAL GUIDE TO RESEARCH WRITING - CHAPTER ONE. The outline of a well written Chapter One is supposed to include all or some of the following: CHAPTER ONE. INTRODUCTION. 1.1 Background to the Study. 1.2 Statement of the Problem. 1.3 Objectives or Purpose of the Study. 1.4 Research Questions and /or Hypotheses. 1.5 Significance of the Study

  4. PDF CHAPTER 1 THE PROBLEM AND ITS BACKGROUND

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    investigate, including the research questions, hypotheses, and basic research design. The ... to the problem; (b) to identify and describe the key components, elements, aspects, concepts of the problem; (c) to provide the reader with an understanding of how the ... Dissertation Chapter 1 - 5 Sections Rubric - Version 1 May 1, 2019 ...

  6. How To Write A Dissertation Introduction Chapter

    Craft an enticing and engaging opening section. Provide a background and context to the study. Clearly define the research problem. State your research aims, objectives and questions. Explain the significance of your study. Identify the limitations of your research. Outline the structure of your dissertation or thesis.

  7. Chapter 1: Home

    Chapter 1. Chapter 1 introduces the research problem and the evidence supporting the existence of the problem. It outlines an initial review of the literature on the study topic and articulates the purpose of the study. The definitions of any technical terms necessary for the reader to understand are essential.

  8. Writing a Research Paper Introduction

    Table of contents. Step 1: Introduce your topic. Step 2: Describe the background. Step 3: Establish your research problem. Step 4: Specify your objective (s) Step 5: Map out your paper. Research paper introduction examples. Frequently asked questions about the research paper introduction.

  9. PDF CHAPTER 1 The Selection of a Research Approach

    CHAPTER The Selection of a 1 Research Approach Introducing Key Terms in this Chapter Research has its own language, and it is important to understand key terms ... action of these three components. In planning a study, researchers need to think through the philosophical : worldview: assumptions that they bring to the study, the :

  10. Defining components of the research process needed to conduct ...

    Abstract. The research process consists of a five-chapter approach. Chapters one through three are written during the planning stages of a study. Chapter one consists of problem, purpose, hypotheses or research questions, definitions, theoretical framework, and significance for nursing. Chapter two consists of the review of literature.

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    Components of each chapter in research structure . The following is a sample of a research structure: Chapter One communicates the purpose and focus of the study and explains the outline of the research. This chapter includes a brief explanation of the research background, and provides rationale for the selection of the research area.Moreover, the first chapter contains explanation of the ...

  12. PDF CHAPTER I: INTRODUCTION

    CHAPTER I: INTRODUCTION. 1. The purpose of this qualitative grounded theory study was to identify what motivates. women to stay in or return to science, technology, engineering, and math professions. (STEM), leading to a motivation model. As illustrated in the literature review, research has. abbreviations. introduce introduce you can use Once ...

  13. PDF Chapter 1 The Selection of a Research Approach Do not copy, post or

    Chapter 1 The Selection of a Research Approach ... Three Components Involved in an Approach . Two important components in each definition are that the approach to research involves philosophical assumptions as well as distinct methods or procedures. The broad research approach is the .

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    Literature review. This key component of the research proposal is the most time-consuming aspect in the preparation of your research proposal. As described in Chapter 5, the literature review provides the background to your study and demonstrates the significance of the proposed research.Specifically, it is a review and synthesis of prior research that is related to the problem you are setting ...

  15. Chapter 1. Introduction

    Although qualitative research studies can and often do change and develop over the course of data collection, it is important to have a good idea of what the aims and goals of your study are at the outset and a good plan of how to achieve those aims and goals. Chapter 2 provides a road map of the process.

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    13. Parts of a Research Paper (Chapters 1-5) - Read online for free. This document provides guidelines for writing different chapters of a research paper, including the introduction, statement of the problem, theoretical framework, conceptual framework, assumptions, hypotheses, significance of the study, scope and delimitation, and definition of terms.

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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" Title page

  18. Major research paradigms (Chapter 1)

    What follows is a very brief discussion of the major research paradigms in the fields of information, communication and related disciplines. We are going to take a tour of three research paradigms: positivism, postpositivism and interpretivism. I had considered revising this for this edition but after extensive investigation into the developing ...

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    Module 1 (Pardede, 2018a) focuses on the six steps involved in the research process. It describes research as a series of linked activities moving from the identification of a problem, reviewing ...

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    1.4 Research Limitation The intent of the research is not to copy reality into virtual reality but to improve the current VR excavator development practice, which may not satisfy quantitative criteria for calculation accuracy. 1.5 Research Contribution • The research exposes the limitations of the existing tool-induced soil resistance

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  23. COMPONENTS OF CHAPTER 1 RESEARCH

    BAC 7: Business Research 1| Module 2: Components of Chapter 1: INTRODUCTION 7 ♦The statement of the research problem should be concise and should identify the key factors (or variables) of the research study. ♦A constant is a characteristic or condition that is the same for all individuals in a study. ♦A variable is a characteristic that ...

  24. 1. Attitudes toward different types of government systems

    Respondents in 24 countries were asked about different forms of governance, including representative democracy, direct democracy, autocracy, technocracy and military rule. Elements of representative democracy are present in each of the countries surveyed. And although many express dissatisfaction ...

  25. Unraveling the Mystery of Dark Matter: Exploring the Enigmatic ...

    Despite decades of research and observation, dark matter remains one of the most elusive and mysterious components of the cosmos, prompting scientists to delve deeper into its nature and properties.