what is chapter plan in research

How to write a research plan: Step-by-step guide

Last updated

30 January 2024

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Today’s businesses and institutions rely on data and analytics to inform their product and service decisions. These metrics influence how organizations stay competitive and inspire innovation. However, gathering data and insights requires carefully constructed research, and every research project needs a roadmap. This is where a research plan comes into play.

There’s general research planning; then there’s an official, well-executed research plan. Whatever data-driven research project you’re gearing up for, the research plan will be your framework for execution. The plan should also be detailed and thorough, with a diligent set of criteria to formulate your research efforts. Not including these key elements in your plan can be just as harmful as having no plan at all.

Read this step-by-step guide for writing a detailed research plan that can apply to any project, whether it’s scientific, educational, or business-related.

• What is a research plan?

A research plan is a documented overview of a project in its entirety, from end to end. It details the research efforts, participants, and methods needed, along with any anticipated results. It also outlines the project’s goals and mission, creating layers of steps to achieve those goals within a specified timeline.

Without a research plan, you and your team are flying blind, potentially wasting time and resources to pursue research without structured guidance.

The principal investigator, or PI, is responsible for facilitating the research oversight. They will create the research plan and inform team members and stakeholders of every detail relating to the project. The PI will also use the research plan to inform decision-making throughout the project.

• Why do you need a research plan?

Create a research plan before starting any official research to maximize every effort in pursuing and collecting the research data. Crucially, the plan will model the activities needed at each phase of the research project.

Like any roadmap, a research plan serves as a valuable tool providing direction for those involved in the project—both internally and externally. It will keep you and your immediate team organized and task-focused while also providing necessary definitions and timelines so you can execute your project initiatives with full understanding and transparency.

External stakeholders appreciate a working research plan because it’s a great communication tool, documenting progress and changing dynamics as they arise. Any participants of your planned research sessions will be informed about the purpose of your study, while the exercises will be based on the key messaging outlined in the official plan.

Here are some of the benefits of creating a research plan document for every project:

Project organization and structure

Well-informed participants

All stakeholders and teams align in support of the project

Clearly defined project definitions and purposes

Distractions are eliminated, prioritizing task focus

Timely management of individual task schedules and roles

Costly reworks are avoided

• What should a research plan include?

The different aspects of your research plan will depend on the nature of the project. However, most official research plan documents will include the core elements below. Each aims to define the problem statement, devising an official plan for seeking a solution.

Specific project goals and individual objectives

Ideal strategies or methods for reaching those goals

Required resources

Descriptions of the target audience, sample sizes, demographics, and scopes

Key performance indicators (KPIs)

Project background

Research and testing support

Preliminary studies and progress reporting mechanisms

Cost estimates and change order processes

Depending on the research project’s size and scope, your research plan could be brief—perhaps only a few pages of documented plans. Alternatively, it could be a fully comprehensive report. Either way, it’s an essential first step in dictating your project’s facilitation in the most efficient and effective way.

• How to write a research plan for your project

When you start writing your research plan, aim to be detailed about each step, requirement, and idea. The more time you spend curating your research plan, the more precise your research execution efforts will be.

Account for every potential scenario, and be sure to address each and every aspect of the research.

Consider following this flow to develop a great research plan for your project:

Define your project’s purpose

Start by defining your project’s purpose. Identify what your project aims to accomplish and what you are researching. Remember to use clear language.

Thinking about the project’s purpose will help you set realistic goals and inform how you divide tasks and assign responsibilities. These individual tasks will be your stepping stones to reach your overarching goal.

Additionally, you’ll want to identify the specific problem, the usability metrics needed, and the intended solutions.

Know the following three things about your project’s purpose before you outline anything else:

What you’re doing

Why you’re doing it

What you expect from it

Identify individual objectives

With your overarching project objectives in place, you can identify any individual goals or steps needed to reach those objectives. Break them down into phases or steps. You can work backward from the project goal and identify every process required to facilitate it.

Be mindful to identify each unique task so that you can assign responsibilities to various team members. At this point in your research plan development, you’ll also want to assign priority to those smaller, more manageable steps and phases that require more immediate or dedicated attention.

Select research methods

Research methods might include any of the following:

User interviews: this is a qualitative research method where researchers engage with participants in one-on-one or group conversations. The aim is to gather insights into their experiences, preferences, and opinions to uncover patterns, trends, and data.

Field studies: this approach allows for a contextual understanding of behaviors, interactions, and processes in real-world settings. It involves the researcher immersing themselves in the field, conducting observations, interviews, or experiments to gather in-depth insights.

Card sorting: participants categorize information by sorting content cards into groups based on their perceived similarities. You might use this process to gain insights into participants’ mental models and preferences when navigating or organizing information on websites, apps, or other systems.

Focus groups: use organized discussions among select groups of participants to provide relevant views and experiences about a particular topic.

Diary studies: ask participants to record their experiences, thoughts, and activities in a diary over a specified period. This method provides a deeper understanding of user experiences, uncovers patterns, and identifies areas for improvement.

Five-second testing: participants are shown a design, such as a web page or interface, for just five seconds. They then answer questions about their initial impressions and recall, allowing you to evaluate the design’s effectiveness.

Surveys: get feedback from participant groups with structured surveys. You can use online forms, telephone interviews, or paper questionnaires to reveal trends, patterns, and correlations.

Tree testing: tree testing involves researching web assets through the lens of findability and navigability. Participants are given a textual representation of the site’s hierarchy (the “tree”) and asked to locate specific information or complete tasks by selecting paths.

Usability testing: ask participants to interact with a product, website, or application to evaluate its ease of use. This method enables you to uncover areas for improvement in digital key feature functionality by observing participants using the product.

Live website testing: research and collect analytics that outlines the design, usability, and performance efficiencies of a website in real time.

There are no limits to the number of research methods you could use within your project. Just make sure your research methods help you determine the following:

What do you plan to do with the research findings?

What decisions will this research inform? How can your stakeholders leverage the research data and results?

Recruit participants and allocate tasks

Next, identify the participants needed to complete the research and the resources required to complete the tasks. Different people will be proficient at different tasks, and having a task allocation plan will allow everything to run smoothly.

Prepare a thorough project summary

Every well-designed research plan will feature a project summary. This official summary will guide your research alongside its communications or messaging. You’ll use the summary while recruiting participants and during stakeholder meetings. It can also be useful when conducting field studies.

Ensure this summary includes all the elements of your research project. Separate the steps into an easily explainable piece of text that includes the following:

An introduction: the message you’ll deliver to participants about the interview, pre-planned questioning, and testing tasks.

Interview questions: prepare questions you intend to ask participants as part of your research study, guiding the sessions from start to finish.

An exit message: draft messaging your teams will use to conclude testing or survey sessions. These should include the next steps and express gratitude for the participant’s time.

Create a realistic timeline

While your project might already have a deadline or a results timeline in place, you’ll need to consider the time needed to execute it effectively.

Realistically outline the time needed to properly execute each supporting phase of research and implementation. And, as you evaluate the necessary schedules, be sure to include additional time for achieving each milestone in case any changes or unexpected delays arise.

For this part of your research plan, you might find it helpful to create visuals to ensure your research team and stakeholders fully understand the information.

Determine how to present your results

A research plan must also describe how you intend to present your results. Depending on the nature of your project and its goals, you might dedicate one team member (the PI) or assume responsibility for communicating the findings yourself.

In this part of the research plan, you’ll articulate how you’ll share the results. Detail any materials you’ll use, such as:

Presentations and slides

A project report booklet

A project findings pamphlet

Documents with key takeaways and statistics

Graphic visuals to support your findings

• Format your research plan

As you create your research plan, you can enjoy a little creative freedom. A plan can assume many forms, so format it how you see fit. Determine the best layout based on your specific project, intended communications, and the preferences of your teams and stakeholders.

Find format inspiration among the following layouts:

Written outlines

Narrative storytelling

Visual mapping

Graphic timelines

Remember, the research plan format you choose will be subject to change and adaptation as your research and findings unfold. However, your final format should ideally outline questions, problems, opportunities, and expectations.

• Research plan example

Imagine you’ve been tasked with finding out how to get more customers to order takeout from an online food delivery platform. The goal is to improve satisfaction and retain existing customers. You set out to discover why more people aren’t ordering and what it is they do want to order or experience. 

You identify the need for a research project that helps you understand what drives customer loyalty. But before you jump in and start calling past customers, you need to develop a research plan—the roadmap that provides focus, clarity, and realistic details to the project.

Here’s an example outline of a research plan you might put together:

Project title

Project members involved in the research plan

Purpose of the project (provide a summary of the research plan’s intent)

Objective 1 (provide a short description for each objective)

Objective 2

Objective 3

Proposed timeline

Audience (detail the group you want to research, such as customers or non-customers)

Budget (how much you think it might cost to do the research)

Risk factors/contingencies (any potential risk factors that may impact the project’s success)

Remember, your research plan doesn’t have to reinvent the wheel—it just needs to fit your project’s unique needs and aims.

Customizing a research plan template

Some companies offer research plan templates to help get you started. However, it may make more sense to develop your own customized plan template. Be sure to include the core elements of a great research plan with your template layout, including the following:

Introductions to participants and stakeholders

Background problems and needs statement

Significance, ethics, and purpose

Research methods, questions, and designs

Preliminary beliefs and expectations

Implications and intended outcomes

Realistic timelines for each phase

Conclusion and presentations

How many pages should a research plan be?

Generally, a research plan can vary in length between 500 to 1,500 words. This is roughly three pages of content. More substantial projects will be 2,000 to 3,500 words, taking up four to seven pages of planning documents.

What is the difference between a research plan and a research proposal?

A research plan is a roadmap to success for research teams. A research proposal, on the other hand, is a dissertation aimed at convincing or earning the support of others. Both are relevant in creating a guide to follow to complete a project goal.

What are the seven steps to developing a research plan?

While each research project is different, it’s best to follow these seven general steps to create your research plan:

Defining the problem

Identifying goals

Choosing research methods

Recruiting participants

Preparing the brief or summary

Establishing task timelines

Defining how you will present the findings

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Chapter writing

  A chapter is a discrete unit of a research report or thesis, and it needs to be able to be read as such.

Your examiners may read your thesis abstract, introduction and conclusion first, but then they may come back weeks later and read a chapter at random, or select one that they are interested in (Mullins & Kiley, 2002). This means that each chapter needs to be easy to read, without the reader having to reread the thesis' introduction to remember what it is about. At the same time, it needs to be clear how the chapter contributes to the development of your overall thesis argument. In the following pages you'll find advice on how to effectively plan and structure your chapters, commuicate and develop your argument with authority, and create clarity and cohesion within your chapters. 

Chapter structures

When it comes to structuring a chapter, a chapter should:

• have an introduction that indicates the chapter's argument / key message
• clearly address part of the thesis' overall research question/s or aim/s
• use a structure that persuades the reader of the argument 
• have a conclusion that sums up the chapter's contribution to the thesis and shows the link to the next chapter.

To make your chapter easy to read, an introduction, body and conclusion is needed. The introduction should give an overview of how the chapter contributes to your thesis. In a chapter introduction, it works well to explain how the chapter answers or contributes to the overall research question. That way, the reader is reminded of your thesis' purpose and they can understand why this chapter is relevant to it. Before writing, make an outline and show it to a friend or supervisor to test the persuasiveness of the chapter's structure.

The chapter's body should develop the key message logically and persuasively. The sequence of sections and ideas is important to developing a persuasive and clear argument. When outlining your chapter, carefully consider the order in which you will present the information. Ask yourself these questions. 

• Would it make your analysis clearer and more convincing to organise your chapter by themes rather than chronologically?
• If you were demonstrating why a particular case study contradicts extant theoretical literature, would it be better to organise the chapter into themes toshow how the case study relates to the literature in respect to each theme, rather than having a dense literature review at the beginning of the chapter?
• Is a brief literature review at the beginning of the chapter necessary and sufficient to establish the key ideas that the chapter's analysis develops?
• What is the best order to convince readers of your overall point? 

Our friend the Thesis Whisperer has written about writing  discussion chapters and discussion sections within chapters .

If used appropriately, subheadings can also be useful to help your reader to follow your line of argument, distinguish ideas and understand the key idea for each section. Subheadings should not be a substitute for flow or transitional sentences however. In general, substantive discussion should follow a subheading. Use your opening paragraph to a new section to introduce the key ideas that will be developed so that your readers do not get lost or are left wondering how the ideas build on what's already covered. How you connect the different sections of your paper is especially important in a long piece of writing like a chapter.

Paragraphing techniques are essential to develop a persuasive and coherent argument within your chapters. Each paragraph needs to present one main idea. Each paragraph needs to have a topic sentence and supporting evidence, and a final sentence that might summarise that idea, emphasise its significance, draw a conclusion or create a link to the next idea. Using language that shows the connections between ideas can be helpful for developing chapter  flow  and  cohesion .

As suggested in our  page on thesis structures , a good way to test out the persuasiveness and logic of your chapter is to talk it over with a friend or colleague. Try to explain the chapter's purpose and argument, and give your key reasons for your argument. Ask them whether it makes sense, or whether there are any ideas that weren't clear. If you find that you express your ideas differently and in a different order to how they're written down, consider whether it would better to revise your argument and adjust the structure to persuasively and more logically make your case in writing.

In sum, when you plan, write and edit your chapter, think about your reader and what they need in order to understand your argument.

• Have you stated your chapter's argument?
• Will a reader be able to identify how it contributes to the whole thesis' research question/s or aim/s?
• Does your chapter flow logically from one idea to the next, and is it convincing?
• Finally, does it have a conclusion that pulls the chapter's key points together and explains its connection to the next chapter?

These elements are central to helpfing your reader follow and be persuaded by your work.

• Mullins, G., & Kiley, M. (2002). 'It's a PhD, not a Nobel Prize': How experienced examiners assess research theses.  Studies in Higher Education ,  27 (4), 369-386. doi:10.1080/0307507022000011507

Reference documents

• Chapter diagram (PDF, 1.14 MB)
• Chapter template (DOCX, 66.58 KB)

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How to Write the Methodology Chapter: The Complete Guide

by  Antony W

April 20, 2022

In this lesson, you’ll learn how to write the methodology chapter of a thesis, dissertation, or a research paper, step-by-step. So if you’ve reached this section in your assignment and you simply no idea how to proceed, this article will point you in the right direction.

You’ll learn what the methodology chapter is about and how you can go about writing one by following a systematic approach guaranteed to help you complete the project faster.

By definition, the methodology chapter of a thesis, dissertation, or research paper is the section where you explain about the specific research design options used in your research. It’s in the methodology chapter that you explain the process you used to design your research and give a justification for the research design.

In other words, the methodology section should clearly demonstrate:

• Whether you conducted quantitative or qualitative research
• The approach you used to collect the data
• What your approach to analyzing the data was and
• The kind of sampling that you did

With that said, let’s get into more details on dealing with the methodology chapter of your research work.

What is the Methodology Chapter for a Research Paper and Dissertation?

In your methodology chapter, you’ll explain the conceptual foundations of your study as well as the specific research design decisions you’ve made. The purpose of this chapter is to explain how you designed your research. 

There are two reasons why your research paper, thesis, and dissertation should have a methodology section:

• It shows that you understand the concept of research design theory, that you understand what you’re doing in research, and that the results you’ll present have a high degree of credibility.
• Because it outlines the steps you took to do and analyze your research, the methodology chapter is what sets your study apart from the others. It also allows you to identify and describe any methodological concerns or problems that you ran into, as well as explain how you dealt with them.

How to Write The Methodology Chapter – Step-by-Step

It’s worth mentioning that the methodology chapter’s specific format and contents will differ based on the study topic and the university. We strongly recommend that you check with your professor to find out what structure they would like you to use.

More often than not, they will allow you to use the standard structure for your paper, which should make the writing process easier for you. Ideally, the methodology chapter of your research paper, thesis, or dissertation should have the following sections:

• Introduction
• Research design
• Methodological limitation
• A concluding summary

Let’s look at each section in more details below:

The Introduction

The methodology chapter should contain a brief introduction of your dissertation or thesis. You should remind your readers about the emphasis of your study, particularly the research objectives.

Your research design must correspond with your research aims, objectives, and research questions, so include this up front to remind the reader what you intend to accomplish with your research design.

We strongly recommend that you explain how you’ve organized the chapter. Doing so will make it easy for the reader to have a clear roadmap of what to expect from reading the rest of the section of your methodology chapter.

Research Design

We like to refer to research design as the heart of the methodology chapter because it presents your research design in great depth to the reader. The information you provide here should be good enough to justify the design choices you made for your paper.

Here’s how to approach it: 

1. Describe Your Methodological Approach

Start by explaining the research subject or problem you looked into. It could be that you wanted to methodically define something’s qualities, investigate a little-studied issue, or prove a cause-and-effect relationship. Whatever it is, write it down because it will guide your reader throughout the other section of the research design.

Some questions to think about when working on your methodological approach include:

• Did you require quantitative or qualitative data?
• Was it necessary for you to obtain primary data personally, or did you rely on secondary data gathered by others?
• Did you collect descriptive data by gathering observations without intervening, or did you collect experimental data by altering variables?
• Were there any ethical factors involved in your decision-making?

2. Explain Your Methods of Data Collection

Next step in research design is to explain the data collection method you used to gather information for your research project.

The following table is a summary of the data collection methods as used in research writing:

3. Explain Your Data Analysis Methods

The next step is to describe how you processed and analyzed the data.

• Quantitative analysis: Your analysis in quantitative research will be on numbers. You may include how you prepared the data for analysis, the computer software you used, and the statistical you employed.
• Qualitative analysis:   Your analysis in qualitative research will be based on language, visuals, and observations (often involving some form of textual analysis).

4. Methodological Limitations 

You can admit to the approach’s limits or flaws, but explain why the advantages exceeded the disadvantages. Explain why prior strategies were ineffective in achieving your goals, and how this strategy adds new information or insight.

Your methodology should be a well-structured, unambiguous document that argues for your approach rather than a collection of technical information and processes.

About the author 

Antony W is a professional writer and coach at Help for Assessment. He spends countless hours every day researching and writing great content filled with expert advice on how to write engaging essays, research papers, and assignments.

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How to Write a Thesis Chapter Outline

4-minute read

• 30th April 2023

Are you writing a thesis ? That’s amazing! Give yourself a pat on the back, because reaching that point in your academic career takes a lot of hard work.

When you begin to write, you may feel overwhelmed and unsure of where to start. That’s where outlines come in handy. In this article, we’ll break down an effective outline for a thesis chapter – one that you can follow for each section of your paper.

What Is a Thesis Chapter?

Your thesis will be broken up into several sections . Usually, there’s an introduction, some background information, the methodology, the results and discussion, and a conclusion – or something along those lines.

Your institution will have more specific guidelines on the chapters you need to include and in what order, so make sure you familiarize yourself with those requirements first. To help you organize the content of each chapter, an outline breaks it down into smaller chunks.

The Outline

While the content and length of each chapter will vary, you can follow a similar pattern to organize your information. Each chapter should include:

1.   An Introduction

At the start of your chapter, spend some time introducing what you’re about to discuss. This will give readers the chance to quickly get an idea of what you’ll be covering and decide if they want to keep reading.

You could begin with a link to the previous chapter, which will help keep your audience from getting lost if they’re not reading it from start to finish in one sitting. You should then explain the purpose of the chapter and briefly describe how you will achieve it.

Every chapter should have an intro like this, even the introduction ! Of course, the length of this part will vary depending on the length of the chapter itself.

2.   The Main Body

After introducing the chapter, you can dive into the meat of it. As with the introduction, the content can be as brief or as lengthy as it needs to be.

While piecing together your outline, jot down which points are most important to include and then decide how much space you can devote to fleshing out each one. Let’s consider what this might look like, depending on the chapter .

If your thesis is broken up into an introduction, a background/literature review section, a methodology chapter, a discussion of the results, and a conclusion, here’s what the main body could include for each:

●  Introduction : A brief summary of the problem or topic and its background, the purpose of the thesis, the research questions that will be addressed, the terminology you’ll be using, and any limitations or unique circumstances.

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●  Background/literature review : A more thorough explanation of the problem, relevant studies and literature, and current knowledge and gaps in knowledge.

●  Methodology : A detailed explanation of the research design, participants and how they were chosen, and how the data was collected and analyzed.

●  Results/discussion : A thorough description of the results of the study and a discussion of what they could mean.

●  Conclusion : A summary of everything that’s been covered, an explanation of the answers that were (or weren’t) found to the research questions, and suggestions for future research.

This is a rough plan of what the main body of each chapter might look like. Your thesis will likely have more chapters, and some of these topics may be broken down into multiple paragraphs, but this offers an idea of where to start.

3.   A Conclusion

Once you’ve detailed everything the chapter needs to include, you should summarize what’s been covered and tie it all together. Explain what the chapter accomplished, and once again, you can link back to the previous chapter to point out what questions have been answered at this point in the thesis.

If you’re just getting started on writing your thesis, putting together an outline will help you to get your thoughts organized and give you a place to start. Each chapter should have its own introduction, main body, and conclusion.

And once you have your draft written, be sure to send it our way! Our editors will be happy to check it for grammar, punctuation, spelling, references, formatting, and more. Try out our service for free today!

Frequently Asked Questions

How do you outline a thesis chapter.

Each chapter of your thesis should have its own introduction, the main content or body of the chapter, and a conclusion summarizing what was covered and linking it to the rest of the thesis.

How do you write a thesis statement?

A thesis statement should briefly summarize the topic you’re looking into and state your assumption about it.

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Dissertation Structure & Layout 101: How to structure your dissertation, thesis or research project.

By: Derek Jansen (MBA) Reviewed By: David Phair (PhD) | July 2019

So, you’ve got a decent understanding of what a dissertation is , you’ve chosen your topic and hopefully you’ve received approval for your research proposal . Awesome! Now its time to start the actual dissertation or thesis writing journey.

To craft a high-quality document, the very first thing you need to understand is dissertation structure . In this post, we’ll walk you through the generic dissertation structure and layout, step by step. We’ll start with the big picture, and then zoom into each chapter to briefly discuss the core contents. If you’re just starting out on your research journey, you should start with this post, which covers the big-picture process of how to write a dissertation or thesis .

*The Caveat *

In this post, we’ll be discussing a traditional dissertation/thesis structure and layout, which is generally used for social science research across universities, whether in the US, UK, Europe or Australia. However, some universities may have small variations on this structure (extra chapters, merged chapters, slightly different ordering, etc).

So, always check with your university if they have a prescribed structure or layout that they expect you to work with. If not, it’s safe to assume the structure we’ll discuss here is suitable. And even if they do have a prescribed structure, you’ll still get value from this post as we’ll explain the core contents of each section.  

Overview: S tructuring a dissertation or thesis

• Acknowledgements page
• Abstract (or executive summary)
• Table of contents , list of figures and tables
• Chapter 1: Introduction
• Chapter 2: Literature review
• Chapter 3: Methodology
• Chapter 4: Results
• Chapter 5: Discussion
• Chapter 6: Conclusion
• Reference list

As I mentioned, some universities will have slight variations on this structure. For example, they want an additional “personal reflection chapter”, or they might prefer the results and discussion chapter to be merged into one. Regardless, the overarching flow will always be the same, as this flow reflects the research process , which we discussed here – i.e.:

• The introduction chapter presents the core research question and aims .
• The literature review chapter assesses what the current research says about this question.
• The methodology, results and discussion chapters go about undertaking new research about this question.
• The conclusion chapter (attempts to) answer the core research question .

In other words, the dissertation structure and layout reflect the research process of asking a well-defined question(s), investigating, and then answering the question – see below.

To restate that – the structure and layout of a dissertation reflect the flow of the overall research process . This is essential to understand, as each chapter will make a lot more sense if you “get” this concept. If you’re not familiar with the research process, read this post before going further.

Right. Now that we’ve covered the big picture, let’s dive a little deeper into the details of each section and chapter. Oh and by the way, you can also grab our free dissertation/thesis template here to help speed things up.

The title page of your dissertation is the very first impression the marker will get of your work, so it pays to invest some time thinking about your title. But what makes for a good title? A strong title needs to be 3 things:

• Succinct (not overly lengthy or verbose)
• Specific (not vague or ambiguous)
• Representative of the research you’re undertaking (clearly linked to your research questions)

Typically, a good title includes mention of the following:

• The broader area of the research (i.e. the overarching topic)
• The specific focus of your research (i.e. your specific context)
• Indication of research design (e.g. quantitative , qualitative , or  mixed methods ).

For example:

A quantitative investigation [research design] into the antecedents of organisational trust [broader area] in the UK retail forex trading market [specific context/area of focus].

Again, some universities may have specific requirements regarding the format and structure of the title, so it’s worth double-checking expectations with your institution (if there’s no mention in the brief or study material).

Acknowledgements

This page provides you with an opportunity to say thank you to those who helped you along your research journey. Generally, it’s optional (and won’t count towards your marks), but it is academic best practice to include this.

So, who do you say thanks to? Well, there’s no prescribed requirements, but it’s common to mention the following people:

• Your dissertation supervisor or committee.
• Any professors, lecturers or academics that helped you understand the topic or methodologies.
• Any tutors, mentors or advisors.
• Your family and friends, especially spouse (for adult learners studying part-time).

There’s no need for lengthy rambling. Just state who you’re thankful to and for what (e.g. thank you to my supervisor, John Doe, for his endless patience and attentiveness) – be sincere. In terms of length, you should keep this to a page or less.

Abstract or executive summary

The dissertation abstract (or executive summary for some degrees) serves to provide the first-time reader (and marker or moderator) with a big-picture view of your research project. It should give them an understanding of the key insights and findings from the research, without them needing to read the rest of the report – in other words, it should be able to stand alone .

For it to stand alone, your abstract should cover the following key points (at a minimum):

• Your research questions and aims – what key question(s) did your research aim to answer?
• Your methodology – how did you go about investigating the topic and finding answers to your research question(s)?
• Your findings – following your own research, what did do you discover?
• Your conclusions – based on your findings, what conclusions did you draw? What answers did you find to your research question(s)?

So, in much the same way the dissertation structure mimics the research process, your abstract or executive summary should reflect the research process, from the initial stage of asking the original question to the final stage of answering that question.

In practical terms, it’s a good idea to write this section up last , once all your core chapters are complete. Otherwise, you’ll end up writing and rewriting this section multiple times (just wasting time). For a step by step guide on how to write a strong executive summary, check out this post .

Need a helping hand?

Table of contents

This section is straightforward. You’ll typically present your table of contents (TOC) first, followed by the two lists – figures and tables. I recommend that you use Microsoft Word’s automatic table of contents generator to generate your TOC. If you’re not familiar with this functionality, the video below explains it simply:

If you find that your table of contents is overly lengthy, consider removing one level of depth. Oftentimes, this can be done without detracting from the usefulness of the TOC.

Right, now that the “admin” sections are out of the way, its time to move on to your core chapters. These chapters are the heart of your dissertation and are where you’ll earn the marks. The first chapter is the introduction chapter – as you would expect, this is the time to introduce your research…

It’s important to understand that even though you’ve provided an overview of your research in your abstract, your introduction needs to be written as if the reader has not read that (remember, the abstract is essentially a standalone document). So, your introduction chapter needs to start from the very beginning, and should address the following questions:

• What will you be investigating (in plain-language, big picture-level)?
• Why is that worth investigating? How is it important to academia or business? How is it sufficiently original?
• What are your research aims and research question(s)? Note that the research questions can sometimes be presented at the end of the literature review (next chapter).
• What is the scope of your study? In other words, what will and won’t you cover ?
• How will you approach your research? In other words, what methodology will you adopt?
• How will you structure your dissertation? What are the core chapters and what will you do in each of them?

These are just the bare basic requirements for your intro chapter. Some universities will want additional bells and whistles in the intro chapter, so be sure to carefully read your brief or consult your research supervisor.

If done right, your introduction chapter will set a clear direction for the rest of your dissertation. Specifically, it will make it clear to the reader (and marker) exactly what you’ll be investigating, why that’s important, and how you’ll be going about the investigation. Conversely, if your introduction chapter leaves a first-time reader wondering what exactly you’ll be researching, you’ve still got some work to do.

Now that you’ve set a clear direction with your introduction chapter, the next step is the literature review . In this section, you will analyse the existing research (typically academic journal articles and high-quality industry publications), with a view to understanding the following questions:

• What does the literature currently say about the topic you’re investigating?
• Is the literature lacking or well established? Is it divided or in disagreement?
• How does your research fit into the bigger picture?
• How does your research contribute something original?
• How does the methodology of previous studies help you develop your own?

Depending on the nature of your study, you may also present a conceptual framework towards the end of your literature review, which you will then test in your actual research.

Again, some universities will want you to focus on some of these areas more than others, some will have additional or fewer requirements, and so on. Therefore, as always, its important to review your brief and/or discuss with your supervisor, so that you know exactly what’s expected of your literature review chapter.

Now that you’ve investigated the current state of knowledge in your literature review chapter and are familiar with the existing key theories, models and frameworks, its time to design your own research. Enter the methodology chapter – the most “science-ey” of the chapters…

In this chapter, you need to address two critical questions:

• Exactly HOW will you carry out your research (i.e. what is your intended research design)?
• Exactly WHY have you chosen to do things this way (i.e. how do you justify your design)?

Remember, the dissertation part of your degree is first and foremost about developing and demonstrating research skills . Therefore, the markers want to see that you know which methods to use, can clearly articulate why you’ve chosen then, and know how to deploy them effectively.

Importantly, this chapter requires detail – don’t hold back on the specifics. State exactly what you’ll be doing, with who, when, for how long, etc. Moreover, for every design choice you make, make sure you justify it.

In practice, you will likely end up coming back to this chapter once you’ve undertaken all your data collection and analysis, and revise it based on changes you made during the analysis phase. This is perfectly fine. Its natural for you to add an additional analysis technique, scrap an old one, etc based on where your data lead you. Of course, I’m talking about small changes here – not a fundamental switch from qualitative to quantitative, which will likely send your supervisor in a spin!

You’ve now collected your data and undertaken your analysis, whether qualitative, quantitative or mixed methods. In this chapter, you’ll present the raw results of your analysis . For example, in the case of a quant study, you’ll present the demographic data, descriptive statistics, inferential statistics , etc.

Typically, Chapter 4 is simply a presentation and description of the data, not a discussion of the meaning of the data. In other words, it’s descriptive, rather than analytical – the meaning is discussed in Chapter 5. However, some universities will want you to combine chapters 4 and 5, so that you both present and interpret the meaning of the data at the same time. Check with your institution what their preference is.

Now that you’ve presented the data analysis results, its time to interpret and analyse them. In other words, its time to discuss what they mean, especially in relation to your research question(s).

What you discuss here will depend largely on your chosen methodology. For example, if you’ve gone the quantitative route, you might discuss the relationships between variables . If you’ve gone the qualitative route, you might discuss key themes and the meanings thereof. It all depends on what your research design choices were.

Most importantly, you need to discuss your results in relation to your research questions and aims, as well as the existing literature. What do the results tell you about your research questions? Are they aligned with the existing research or at odds? If so, why might this be? Dig deep into your findings and explain what the findings suggest, in plain English.

The final chapter – you’ve made it! Now that you’ve discussed your interpretation of the results, its time to bring it back to the beginning with the conclusion chapter . In other words, its time to (attempt to) answer your original research question s (from way back in chapter 1). Clearly state what your conclusions are in terms of your research questions. This might feel a bit repetitive, as you would have touched on this in the previous chapter, but its important to bring the discussion full circle and explicitly state your answer(s) to the research question(s).

Next, you’ll typically discuss the implications of your findings? In other words, you’ve answered your research questions – but what does this mean for the real world (or even for academia)? What should now be done differently, given the new insight you’ve generated?

Lastly, you should discuss the limitations of your research, as well as what this means for future research in the area. No study is perfect, especially not a Masters-level. Discuss the shortcomings of your research. Perhaps your methodology was limited, perhaps your sample size was small or not representative, etc, etc. Don’t be afraid to critique your work – the markers want to see that you can identify the limitations of your work. This is a strength, not a weakness. Be brutal!

This marks the end of your core chapters – woohoo! From here on out, it’s pretty smooth sailing.

The reference list is straightforward. It should contain a list of all resources cited in your dissertation, in the required format, e.g. APA , Harvard, etc.

It’s essential that you use reference management software for your dissertation. Do NOT try handle your referencing manually – its far too error prone. On a reference list of multiple pages, you’re going to make mistake. To this end, I suggest considering either Mendeley or Zotero. Both are free and provide a very straightforward interface to ensure that your referencing is 100% on point. I’ve included a simple how-to video for the Mendeley software (my personal favourite) below:

Some universities may ask you to include a bibliography, as opposed to a reference list. These two things are not the same . A bibliography is similar to a reference list, except that it also includes resources which informed your thinking but were not directly cited in your dissertation. So, double-check your brief and make sure you use the right one.

The very last piece of the puzzle is the appendix or set of appendices. This is where you’ll include any supporting data and evidence. Importantly, supporting is the keyword here.

Your appendices should provide additional “nice to know”, depth-adding information, which is not critical to the core analysis. Appendices should not be used as a way to cut down word count (see this post which covers how to reduce word count ). In other words, don’t place content that is critical to the core analysis here, just to save word count. You will not earn marks on any content in the appendices, so don’t try to play the system!

Time to recap…

And there you have it – the traditional dissertation structure and layout, from A-Z. To recap, the core structure for a dissertation or thesis is (typically) as follows:

• Acknowledgments page

Most importantly, the core chapters should reflect the research process (asking, investigating and answering your research question). Moreover, the research question(s) should form the golden thread throughout your dissertation structure. Everything should revolve around the research questions, and as you’ve seen, they should form both the start point (i.e. introduction chapter) and the endpoint (i.e. conclusion chapter).

I hope this post has provided you with clarity about the traditional dissertation/thesis structure and layout. If you have any questions or comments, please leave a comment below, or feel free to get in touch with us. Also, be sure to check out the rest of the  Grad Coach Blog .

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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36 Comments

many thanks i found it very useful

Glad to hear that, Arun. Good luck writing your dissertation.

Such clear practical logical advice. I very much needed to read this to keep me focused in stead of fretting.. Perfect now ready to start my research!

what about scientific fields like computer or engineering thesis what is the difference in the structure? thank you very much

Thanks so much this helped me a lot!

Very helpful and accessible. What I like most is how practical the advice is along with helpful tools/ links.

Thanks Ade!

Thank you so much sir.. It was really helpful..

You’re welcome!

Hi! How many words maximum should contain the abstract?

Thank you so much 😊 Find this at the right moment

You’re most welcome. Good luck with your dissertation.

best ever benefit i got on right time thank you

Many times Clarity and vision of destination of dissertation is what makes the difference between good ,average and great researchers the same way a great automobile driver is fast with clarity of address and Clear weather conditions .

I guess Great researcher = great ideas + knowledge + great and fast data collection and modeling + great writing + high clarity on all these

You have given immense clarity from start to end.

Morning. Where will I write the definitions of what I’m referring to in my report?

Thank you so much Derek, I was almost lost! Thanks a tonnnn! Have a great day!

Thanks ! so concise and valuable

This was very helpful. Clear and concise. I know exactly what to do now.

Thank you for allowing me to go through briefly. I hope to find time to continue.

Really useful to me. Thanks a thousand times

Very interesting! It will definitely set me and many more for success. highly recommended.

Thank you soo much sir, for the opportunity to express my skills

Usefull, thanks a lot. Really clear

Very nice and easy to understand. Thank you .

That was incredibly useful. Thanks Grad Coach Crew!

My stress level just dropped at least 15 points after watching this. Just starting my thesis for my grad program and I feel a lot more capable now! Thanks for such a clear and helpful video, Emma and the GradCoach team!

Do we need to mention the number of words the dissertation contains in the main document?

It depends on your university’s requirements, so it would be best to check with them 🙂

Such a helpful post to help me get started with structuring my masters dissertation, thank you!

Great video; I appreciate that helpful information

It is so necessary or avital course

This blog is very informative for my research. Thank you

Doctoral students are required to fill out the National Research Council’s Survey of Earned Doctorates

wow this is an amazing gain in my life

This is so good

How can i arrange my specific objectives in my dissertation?

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Understanding the structure of thesis chapterisation

One of the basic steps in planning a thesis writing process is to decide how it should be structured. A thesis should have at least 5 chapters depending on its scope. This is known as the thesis chapterisation scheme. Deciding on the thesis chapterisation scheme is important because it helps organise data and critical findings in a legible manner. While deciding on the thesis chapterisation, you should ask yourself:

• What are the University’s rules regarding the chapterisation?
• How should a thesis’ contents be commonly arranged?
• How much data to present?
• What is the nature of the data to present?
• Does the thesis fall in the technical or non-technical category?

How is the thesis chapterisation scheme framed?

The thesis chapterisation should be presented while introducing the thesis’s objectives and aims the introduction. It should be placed at the end of the introduction to the thesis chapter just before the chapter summary. It should range from 200 to 400 words. It can also be presented as a diagram.

However, before framing the chapterisation, decide on all the chapters of your thesis. The key point to remember while preparing the thesis chapterisation is to keep it short and informative. Do not dive too deep into the thesis contents, but at the same time, give the reader an idea of what to expect.

Steps in deciding the chapterisation scheme

The thesis structure will differ depending on the subject, university rules and the research scope . For instance, a thesis in a non-technical subject like education and cultural studies will be more focused on theory, concepts, and cases rather than programming.

• Follow the common pattern: Most researchers follow the same format for writing a thesis. This includes a background to the problem, followed by a review of the literature , research methodology , data analysis and conclusion. This format is widely accepted by many institutions, so you may decide to stick with it for convenience’s sake.
• Technical subjects need more chapters: Technical subjects like computer sciences and civil engineering emphasise exploration and development. So instead of one chapter for data analysis, technical subjects require three or more chapters focusing on different aspects like data, methodology and the results. The chapters are comparatively shorter too.
• Vastness of the research methodology: Bigger methodologies require more chapters. A thesis commonly includes three types of primary data that are obtained from surveys, interviews and focus group discussions. Dedicating different chapters to different types of data collection ensures that you have given an equal focus on every methodology and its findings will look more fragmented and organised.
• Determine the word count: A thesis can have 1,00,000 words or more, depending upon university regulations. In such cases, you will need more than five chapters to avoid making it seem repetitive, disconnected, and boring.
• Don’t skip the essentials: No matter how many chapters you choose to have, it is not advisable to skip the basic parts- the background, literature review, and data analysis. They form the foundation of your research while the remaining chapters are the pillars supporting it.
• Text or diagram: The thesis chapterisation section can be presented in the form of text or diagram. While text explanation is more popular and widely accepted, diagrams are gaining momentum in some departments for a more sleek and interactive look.

A typical thesis chapterisation scheme

The chapterisation scheme for technical subjects like information technology, information systems, and computer sciences is different. This is because of a more complex analysis like the development and verification of a new algorithm or framework. Such researches involve multiple steps in analysis like reviewing, coding and developing, testing, comparing and finalising a model.

• Chapter 4: Data Characteristics
• Chapter 5: Development
• Chapter 6: Testing

It may also require a separate chapter for the recommended framework or model or architecture of the system. While framing the chapterisation, emphasis more on the technical aspect rather than theories.  

A sample chapterisation scheme

Introduction: This chapter includes a basic understanding of the Kingdom of Saudi Arabia and the evolution of the modern education system in the nation. The chapter provides a brief overview of the education system, the importance of higher education and how higher education institutions have had an impact on the education sector. 

Additionally, this chapter also provides the aims and objectives of the research and mentions the research questions as well as the importance of this research in academic and practical aspects.

Literature review: This chapter is a comprehensive review of existing literature related to the study. It provides an extensive understanding of the internationalization of higher education and the emergence of different internationalization models and how internationalization has impacted the quality of higher education (challenges and opportunities). It will shed the light on the main players in higher education and how each player contributes to the quality of the education system. The chapter also discusses the evolution of offshore programmes as part of transitional education in different contexts. It also presents the developed theoretical framework of the research, providing the basis of the overall structure of the research by detailing various theoretical aspects of the issue at hand, such as the stakeholder theory, assessments and audits related to education quality, evaluation of performance in education and various policies, design, curriculum and resources related to education, among others. Upon developing the theoretical framework, their relevance to the study’s purpose has been established.

Research methodology: This chapter provides the research methodology, which includes qualitative as well as quantitative research, and uses semi-structured interviews as well as focus group discussions for data collection, as well as secondary assessments. The chapter also discusses the research design, strategy, design, methods, and study hypothesis.

Data analysis: This chapter includes an assessment of the primary data collected through qualitative and quantitative measures, as well as an inferential analysis of the semi-structured interviews and focuses group discussions conducted. The chapter also includes figures and graphs for better assessments of the results.

Discussion and findings: It presents the results of the research, and provides a discussion and summary on the basis of the inferences drawn from the results.

Conclusion and recommendations: This chapter includes recommendations for future research as well as concludes the research by providing a summary and future scope of the present research.

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Dissertations: Writing Chapters

• Choosing a topic
• Research Proposal
• Reviewing the literature
• Introductions & Conclusions

Writing Chapters

• Wrapping Up
• Abstracts & Summaries
• Managing Expectations

As part of your dissertation you will find that you need to write different types of chapters. In this guide we take you through those types, how to structure them. how to write them and some dos and dont's. Click on the links below to jump to the section you need.

• Writing a methodology chapter

Writing a results chapter

• Writing a discussion chapter

Writing a Methodology Chapter

What is a dissertation methodology.

• Structuring your methodology
• Dos and don’ts

A well-written methodology chapter is essential in establishing the credibility and validity of your research, as it allows other researchers to reproduce your study and build upon your findings . In this guide, we will provide you with step-by-step instructions on how to write a comprehensive and well-organized methodology chapter that will effectively communicate the methodology you used in your research. 

• The methodology explains your methodological approach and explains what you did and how , and why .
• The methodology section allows the reader to critically evaluate a study's overall credibility . 
• The purpose is to give another researcher enough information to replicate the study and obtain similar results.
• Methods and methodology are not synonyms (overarching approach vs  specific tools and procedures used to collect and analyse data).

The methodology chapter, as any other chapters of your dissertation except the introduction and conclusion chapters, consists of 3 main sections: introduction, main body and conclusion/summary.

[Adapted from: Succeeding with your Master’s Dissertation: A step-by-step handbook ]

The sections included in the main body depend on the type of research and the type of dissertation. For example:

• In the traditional dissertation , it is commonly a separate chapter preceding the Results chapter.
• In topic-based dissertations , the Methodology chapter might have a different title such as ‘Conducting Research’.
• In experiment-based or dissertations by compilation , each study or experiment might contain its own methodology or methods section. 

Step 1: Explain your research design/approach

This commonly includes a restatement of the research aim(s) , a justification of choice of research methods , overview of specific method(s) used .

Step 2: Explain your methods of data collection

This involves explaining how the research was conducted and how the data were obtained . It requires a detailed description of processes and procedures and a justification of the reasons for doing so . This might include describing:

• How was the data collection tool designed
• How participants were obtained and how was the sample drawn
• The location in which the data collection took place
• The themes covered during the data collection or any variables and measures
• Any piloting, adjustments made and reasons behind those
• Ethical considerations and any obstacles faced and how those were addressed

Step 3: Explain your methods of data analysis

This involves explaining how you processed and analysed the data. However, do not start discussing the results unless you are combining results and discussion into one chapter (commonly seen in qualitative research). For example, you might want to include:

• How you prepared the data before analysis (e.g., checking for missing data, removing outliers)
• The software used to analyse the data (e.g., SPSS, Atlas.ti)
• The methods used to analyse the data (e.g., regression analysis, thematic analysis)

[Adapted from: https://www.scribbr.co.uk/thesis-dissertation/methodology/ AND Thesis and Dissertation Writing in a Second Language: A Handbook for Students and their Supervisors ] 

For more information on language used in methodology chapters have a look at our page  Language used in dissertations . 

Writing a Results Chapter

• What is a results chapter?
• Structuring your results
• Presenting your results
• Using tables & figures

The results chapter is a crucial section of any piece of research, as it presents and interprets the findings obtained from the study. This chapter allows you to communicate the outcomes of your investigation, analyse the data, and draw meaningful conclusions . Crafting an effective results chapter requires careful planning, organization, and attention to detail. This guide aims to provide you with a step-by-step approach to writing a results chapter that effectively communicates your research findings.

• The results section of your dissertation is where you report the findings of your study based upon the information gathered as a result of the methodology you applied.
• The results section should simply state the findings , without bias or interpretation, and arranged in a logical sequence . 
• The results section should always be written in the past tense . 
• The page length of this section is set by the amount and types of data to be reported. Try to be concise and use non-textual elements .
• Avoid providing data that is not critical to answering the research question(s). 

The results chapter, as any other chapters of your dissertation except the introduction and conclusion chapters, consists of 3 main sections: introduction, main body and conclusion/summary.

Introduction

This might include:

• A brief reminder of the methodological approach or methods.
• A preview of the chapter: outline the organisation and state the scope (What is included? How is the chapter organised?)

The order of results can vary.  Some suggestions are:

• From most important to least important.
• As a logical response to the research questions or problems you are trying to answer or solve.  
• If you are using a range of methods or a number of experimental elements , group the method/procedure together with the relevant results. 
• In quantitative research , the descriptive statistics are generally presented first, then the results of each of the hypotheses or research questions that were tested.
• The information in the results section should be organised to show how the data tests the research questions or hypotheses , and should be presented sequentially to respond to each research question or hypothesis.

Conclusion or Chapter Summary

• A brief summary of the key results.
• Signpost how these will be discussed in the following chapter (leads to your discussion chapter).

Describe the findings of the study, but do not start to interpret the results . This will take place in the discussion section, which comes next, unless you decide to combine results and discussion, which is common in qualitative research.

Presenting Qualitative Results

• Structure your results around key themes .
• For each theme, make general observations about what the data showed.
• Support these points with direct quotations .
• If possible, include a brief conclusion (‘so what?’) to the observation and highlight any links with other findings.
• Repeat this process as many times as necessary.
• Further information can be included in an appendix .

Presenting Quantitative Results

• Structure your results around your research sub-questions .
• For each sub-question, present the relevant results , including any statistical analysis you conducted, and briefly evaluate their significance. 
• Highlight the most important trends , differences, and relationships among the data, but do not speculate on their meaning or consequences.
• If you have results that are not directly relevant to answering your questions, or any extra information that will help the reader understand how you gathered the data, you can include them in an appendix .

The description of tables and figures in academic written texts commonly includes two different elements:

• Location or summary statement: identifies the table or figure and indicates its content.
• Highlighting statement or statements: point out and describe the relevant or significant data.

Dos and don'ts of using tables and figures

For more information on the language used in results chapters see the Language section of this guide.

You can use the checklist below to ensure your results chapter includes all relevant information:

Writing a Discussion Chapter

What is a discussion chapter.

• Structuring your discussion
• Dos and don'ts

The discussion chapter of a dissertation is an essential component that showcases your ability to analyse and interpret your research findings, draw meaningful conclusions, and provide valuable insights into the broader academic and practical implications of your study. This guide aims to provide you with a comprehensive overview of how to write a compelling and well-structured discussion chapter that strengthens the overall impact of your dissertation.

• Explains what the results mean;
• Interprets and discusses the data;
• Compares it with other research (literature review);
• Evaluates its importance;
• Points out the limitations of your research;
• Raises questions for future directions .

Tip: When writing your discussion chapter, you might want to revisit your literature review chapter and ensure that the relevant literature included in this chapter has been already presented in the Literature Review.

The discussion chapter, as any other chapters of your dissertation except the introduction and conclusion chapters, consists of 3 main sections: introduction, main body and conclusion/summary.

[Adapted from: Succeeding with your Master’s Dissertation: A step-by-step handbook ]  

Your discussion should focus on explaining and evaluating your findings, displaying their connection to the previous literature (i.e., your literature review ) and research questions , as well as presenting a persuasive argument to support your overall conclusion.  While there are many different ways to write this section, you can focus your discussion around three key aspects:

• Interpretations: What is the meaning behind the results?
• Implications: Why do the results matter? Why are the results relevant?
• Limitations: What can’t the results tell us? What are the constraints or limitations of the results in terms of what they can reveal?

This can be done following the 5 steps below:  

Step 1: Summarise your findings

You can begin this section by reiterating your research problem and providing a succinct overview of your main findings. Do not just repeat all the data that you have already reported in the previous chapter, instead present a clear statement that directly addresses your research questions.

Step 2: Interpret your findings

While the significance of your results may appear apparent to you, it is crucial to explicitly articulate their importance for your reader by demonstrating how they directly address your research question. The manner in which you interpret the data will vary depending on the type of research conducted. However, some common approaches to interpreting the data include:

• Recognizing correlations, patterns, and relationships within the data
• Analysing whether the results align with your expectations or support your hypotheses
• Placing your findings within the context of prior research and established theories
• Elucidating unexpected results and assessing their significance
• Considering alternative explanations and presenting a compelling argument in favour of your position.

Step 3: Place your findings in context (literature review)

A helpful way to place your findings within context and identifying how your findings agree or disagree with the previous literature is to use a summary table such as the one below:

This can result in a paragraph like: The importance of timely feedback in block has also been stressed by students and faculty as one of the reasons as to why single assessments at the end of the module, and more specifically exams, are the least accurate method in block delivery. Although exams were considered by some participants as necessary in certain disciplines, participants agreed that this assessment type does not show knowledge depth as indicated by Dang et al. (2022) and students might receive limited or no feedback as highlighted by Race (2015). Therefore, incorporating frequent and a variety of assessments with timely feedback into block delivery could enhance student learning outcomes and improve the accuracy of assessments.

Step 4: Acknowledge the limitations

Every piece of research has limitations and acknowledging these is crucial for establishing the credibility of the study. The purpose of discussing these limitations is not to highlight errors, but rather to provide an accurate understanding of the conclusions that can and cannot be drawn from the study, as well as to highlight further areas for research on the topic. Limitations might relate to your research design, methodological choices, or unforeseen challenges encountered during the research process. Here are some examples:

• If the sample size was small or limited to a specific group of individuals, it is necessary to explain how the generalizability of the findings is constrained.
• If difficulties were encountered during data collection or analysis, it is important to elucidate how these challenges might have impacted the results.
• If there are potential confounding variables that could not be controlled, it is essential to acknowledge the potential effects they might have had.

[Adapted from: https://www.scribbr.co.uk/thesis-dissertation/discussion/ ]

For more information on the language used in discussions, have a look at our  Language used in dissertations guide

Further Reading

Journal of Suffolk Student Research

The Journal of Suffolk Student Research is an online academic journal, dedicated to the publication of high-quality undergraduate and postgraduate student research undertaken by University of Suffolk students. The journal will showcase the most outstanding student research undertaken at the University of Suffolk. It aims to promote and recognise this outstanding student research by offering valuable early experience of academic publishing and the peer review process. 

Find out more here

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Module 3 Chapter 1: Overview of Intervention/Evaluation Research Approaches

In our prior course, you learned how the nature of an investigator’s research question dictates the type of study approach and design that might be applied to achieve the study aims. Intervention research typically asks questions related to the outcomes of an intervention effort or approach. However, questions also arise concerning implementation of interventions, separate from understanding their outcomes. Practical, philosophical, and scientific factors contribute to investigators’ intervention study approach and design decisions.

In this chapter you learn:

• how content from our earlier course about study approaches and designs relate to intervention research;
• additional approaches to intervention research (participatory research; formative, process, outcome, and cost-related evaluation research)
• intervention research strategies for addressing intervention fidelity and internal validity concerns.

Review and Expansion: Study Approaches

In our earlier course you became familiar with the ways that research questions lead to research approach and methods. Intervention and evaluation research are not different: the question dictates the approach. In the earlier course, you also became familiar with the philosophical, conceptual and practical aspects of different approaches to social work research: qualitative, quantitative, and mixed methods. These methods are used in research for evaluating practice and understanding interventions, as well. The primary emphasis in this module revolves around quantitative research designs for practice evaluation and understanding interventions. However, taking a few moments to examine qualitative and mixed methods in these applications is worthwhile. Additionally, we introduce forms of participatory research—something we did not discuss regarding efforts to understand social work problems and diverse populations. Participatory research is an approach rich in social work tradition.

Qualitative methods in intervention & evaluation research.

The research questions asked by social workers about interventions often lend themselves to qualitative study approaches. Here are 5 examples.

• Early in the process of developing an intervention, social workers might simply wish to create a rich description of the intervention, the contexts in which it is being delivered, or the clients’ experience with the intervention. This type of information is going to be critically important in developing a standardized protocol which others can use in delivering the intervention, too. Remember that qualitative methods are ideally suited for answering exploratory and descriptive questions.
• Qualitative methods are well-suited to exploring different experiences related to diversity—the results retain individuality arising from heterogeneity rather than homogenizing across individuals to achieve a “normative” picture.
• Qualitative methods are often used to assess the degree to which the delivery of an intervention adheres to the procedures and protocol originally designed and empirically tested. This is known as an intervention fidelity issue (see the section below on the topic of process evaluation).
• Intervention outcomes are sometimes evaluated using qualitative approaches. For example, investigators wanted to learn from adult day service participants what they viewed as the impact of the program on their own lives (Dabelko-Schoeny & King, 2010). The value of such information is not limited to evaluating this one program. Evaluators are informed about important evaluation variables to consider in their own efforts to study interventions delivered to older adults—variables beyond the typical administrative criteria of concern. The study participants identified social connections, empowering relationships with staff, and enjoyment of activities as important evaluation criteria.
• Assessing the need for intervention (needs assessment) is often performed with qualitative approaches, especially focus groups, open-ended surveys, and GIS mapping.
• Qualitative approaches are an integral aspect of mixed-methods approaches.

Qualitative approaches often involve in-depth data from relatively few individuals, seeking to understand their individual experiences with an intervention. As such, these study approaches are relatively sensitive to nuanced individual differences—differences in experience that might be attributed to cultural, clinical, or other demographic diversity. This is true, however, only to the extent that diversity is represented among study participants, and individuals cannot be presumed to represent groups or populations.

Quantitative methods in intervention & evaluation research.

Many intervention and evaluation research questions are quantitative in nature, leading investigators to adopt quantitative approaches or to integrate quantitative approaches in mixed methods research. In these instances, “how much” or “how many” questions are being asked, questions such as:

• how much change was associated with intervention;
• how many individuals experienced change/achieved change goals;
• how much change was achieved in relation to the resources applied;
• what trends in numbers were observed.

Many study designs detailed in Chapter 2 reflect the philosophical roots of quantitative research, particularly those designed to zero in on causal inferences about intervention—the explanatory research designs. Quantitative approaches are also used in descriptive and exploratory intervention and evaluation studies. By nature, quantitative studies tend to aggregate data provided by individuals, and in this way are very different from qualitative studies. Quantitative studies seek to describe what happens “on average” rather than describing individual experiences with the intervention—you learned about central tendency and variation in our earlier course (Module 4). Differences in experience related to demographic, cultural, or clinical diversity might be quantitatively assessed by comparing how the intervention was experienced by different groups (e.g., those who differ on certain demographic or clinical variables). However, data for the groups are treated in the aggregate (across individuals) with quantitative approaches.

Mixed methods in intervention & evaluation research.

Qualitative and quantitative approaches are very helpful in evaluation and intervention research as part of a mixed-methods strategy for investigating the research questions. In addition to the examples previously discussed, integrating qualitative and quantitative approaches in intervention and evaluation research is often done as means of enriching the results derived from one or the other approach. Here are 3 scenarios to consider.

• Investigators wish to use a two-phase approach in studying or evaluating an intervention. First, they adopt a qualitative approach to inform the design of a quantitative study, then they implement the quantitative study as a second phase. The qualitative phase might help inform any aspect of the quantitative study design, including participant recruitment and retention, measurement and data collection, and presenting study results.
• Investigators use a two-phase approach in studying or evaluating an intervention. First, they implement a quantitative study. Then, they use a qualitative approach to explore the appropriateness and adequacy of how they interpret their quantitative study results.
• Investigators combine qualitative and quantitative approaches in a single intervention or evaluation study, allowing them to answer different kinds of questions about the intervention.

For example, a team of investigators applied a mixed methods approach in evaluating outcomes of an intensive experiential learning experience designed to prepare BSW and MSW students to engage effectively in clinical supervision (Fisher, Simmons, & Allen, 2016). BSW students provided quantitative data in response to an online survey, and MSW students provided qualitative self-assessment data. The quantitative data answered a research question about how students felt about supervision, whereas the qualitative data were analyzed for demonstrated development in critical thinking about clinical issues. The investigators concluded that their experiential learning intervention contributed to the outcomes of forming stronger supervisory alliance, BSW student satisfaction with their supervisor, and MSW students thinking about supervision as being more than an administrative task.

Cross-Sectional & Longitudinal Study Designs.

You are familiar with the distinction between cross-sectional and longitudinal study designs from our earlier course. In that course, we looked at these designs in terms of understanding diverse populations, social work problems, and social phenomena. Here we address how the distinction relates to the conduct of research to understand social work interventions.

• A cross-sectional study involves data collection at just one point in time. In a program evaluation, for example, the agency might look at some outcome variable at the point when participants complete an intervention or program. Or, perhaps an agency surveys all clients at a single point in time to assess their level of need for a potential new service the agency might offer. Because the data are collected from each person at only one point in time, these are both cross-sectional studies. In terms of intervention studies, one measurement point obviously needs to be after the intervention for investigators to draw inferences about the intervention. As you will see in the discussion of intervention study designs, there exist considerable limitations to using only one single measurement to evaluate an intervention (see post-only designs in Chapter 2).
• A longitudinal study involves data collection at two or more points in time. A great deal of intervention and evaluation research is conducted using longitudinal designs—answering questions about what changes might be associated with the intervention being delivered. For example, in program evaluation, an agency might compare how clients were functioning on certain variables at the time of discharge compared to their level of functioning at intake to the program. Because the same information is collected from each individual at two points in time (pre-intervention and post-intervention), this is a longitudinal design.
• Distinguishing cross-section and longitudinal in studies of systems beyond the individual person can become confusing. When social workers intervene with individuals or families or small groups, that longitudinal study involves the same individuals or members at different points in time is evident—perhaps measuring individuals before, immediately after, and months after intervention (this is called follow-up ). However, if an intervention is conducted in a community, a state, or across the nation, the data might not be collected from the same individual persons at each point in time—the unit of analysis is what matters here. For example, if the longitudinal study’s unit of analysis is the 50 states, District of Columbia, and 5 inhabited territories of the United States, data are repeatedly collected at that level (states, DC, and territories), perhaps not from the same individual persons in each of those communities.

Formative, Process, and Outcome Evaluation

Practice and program evaluation are important aspects of social work practice. It would be nice if we could simply rely on our own sense of what works and what does not. However, social workers are only human and, as we learned in our earlier course, human memory and decisions are vulnerable to bias. Sources of bias include recency, confirmation, and social desirability biases.

• Recency bias occurs when we place higher emphasis on what has just happened (recently) than on what might have happened in the more distant past. In other words, a social worker might make a casual practice evaluation based on one or two exceptionally good or exceptionally bad recent outcomes rather than a longer, larger history of outcomes and systematic evidence.
• Confirmation bias occurs when we focus on outcomes that reinforce what we believed, feared, or hoped would happen and de-emphasize alternative events or interpretations that might contradict those beliefs, fears, or hopes.
• Social desirability bias by practitioners occurs when practice decisions are influenced by a desire to be viewed favorably by others—that could be clients, colleagues, supervisors, or others. In other words, a practice decision might be based on “popular” rather than “best” practices, and casual evaluation of those practices might be skewed to create a favorable impression.

In all three of these forms of bias, the problem is not necessarily intentional, but does result in a lack of sufficient attention to evidence in monitoring one’s practices. For example, relying solely on qualitative comments volunteered by consumers (anecdotal evidence) is subject to a selection bias —individuals with strong opinions or a desire to support the social workers who helped them are more likely to volunteer than the general population of those served.

Thus, it is incumbent on social work professionals to engage in practice evaluation that is as free of bias as possible. The choice of systematic evaluation approach is dictated by the evaluation research question being asked. According to the Centers for Disease Control and Prevention (CDC), there are four most common types of intervention or program evaluation: formative, process, outcome, and impact evaluation ( https://www.cdc.gov/std/Program/pupestd/Types%20of%20Evaluation.pdf ). Here, we consider these as three types, combining impact and outcome evaluation into a single category, and we consider an additional category, as well: cost evaluation.

Formative Evaluation.

Formative evaluation is emphasized during the early stages of developing or implementing a social work intervention, as well as following process or outcome evaluation as changes to a program or intervention strategy are considered. The aim of formative evaluation is to understand the context of an intervention, define the intervention, and evaluate feasibility of adopting a proposed intervention or change in the intervention (Trochim & Donnelly, 2007). For example, a needs assessment might be conducted to determine whether the intervention or program is needed, calculate how large the unmet need is, and/or specify where/for whom the unmet need exists. Needs assessment might also include conducting an inventory of services that exist to meet the identified need and where/why a gap exists (Engel & Schutt, 2013). Formative evaluation is used to help shape an intervention, program, or policy.

Process Evaluation.

Investigating how an intervention is delivered or a program operates is the purpose behind process evaluation (Engel & Schutt, 2013). The concept of intervention fidelity was previously introduced. Fidelity is a major point of process evaluation but is not the only point. We know that the greater the degree of fidelity in delivery of an intervention, the more applicable the previous evidence about that intervention becomes in reliably predicting intervention outcomes. As fidelity in the intervention’s delivery drifts or wanes, previous evidence becomes less reliable and less useful in making practice decisions. Addressing this important issue is why many interventions with an evidence base supporting their adoption are manualized , providing detailed manuals for how to implement the intervention with fidelity and integrity. For example, the Parent-Child Interaction Therapy for Traumatized Children (PCIT-TC) treatment protocol is manualized and training certification is available for practitioners to learn the evidence-based skills involved ( https://pcit.ucdavis.edu/ ). This strategy increases practitioners’ adherence to the protocol.

Process evaluation, sometimes called implementation evaluation and sometimes referred to as program monitoring, helps investigators determine the extent to which fidelity has been preserved. But, process evaluation serves other purposes, as well. For example, according to King, Morris and Fitz-Gibbon (1987), process evaluation helps:

• document details about the intervention that might help explain outcome evaluation results,
• keep programs accountable (delivering what they claim to deliver),
• inform planned modifications and changes to the intervention based on evidence.

Process evaluation also helps investigators determine where the facilitators and barriers to implementing an intervention might operate and can help interpret outcomes/results from the intervention, as well. Process evaluation efforts addresses the following:

• Who delivered the intervention
• Who received the intervention
• What was (or was not) done during the intervention
• When intervention activities occurred
• Where intervention activities occurred
• How the intervention was delivered
• What facilitated implementation with fidelity/integrity
• What presented as barriers to implementation with fidelity/integrity

For these reasons, many authors consider process evaluation to be a type of formative evaluation.

Outcome and Impact Evaluation.

The aim of outcome or impact evaluation is to determine effects of the intervention. Many authors refer to this as a type of summative evaluation , distinguishing it from formative evaluation: its purpose is to understand the effects of an intervention once it has been delivered. The effects of interest usually include the extent to which intervention goals or objectives were achieved. An important factor to evaluate concerns positive and negative “side effects”—those unintended outcomes associated with the intervention. These might include unintended impact of the intervention participants or impacts on significant others, those delivering the intervention, the program/agency/institutions involved, and others. While impact evaluation, as described by the CDC, is about policy and funding decisions and longer-term changes, we can include it as a form of outcome evaluation since the questions answered are about achieving intervention objectives. Outcome evaluation is based on the elements presented in the logic model created at the outset of intervention planning.

Cost-Related Evaluation.

Social workers are frequently faced with efficiency questions related to the interventions we deliver—thus, cost-related evaluation is part of our professional accountability responsibilities. For example, once an agency has applied the evidence-based practice (EBP) process to select the best-fitting program options for addressing an identified practice concern, program planning is enhanced by information concerning which of the options is most cost-effective.  Here are some types of questions addressed in cost-related evaluation.

cost analysis: How much does it cost to deliver/implement the intervention with fidelity and integrity? This type of analysis typically analyzes monetary costs, converting inputs into their financial impact (e.g., space resources would be converted into cost per square foot, staffing costs would include salary, training, and benefits costs, materials and technology costs might include depreciation).

• cost-benefit: What are the inputs and outputs associated with the intervention? This type of analysis involves placing a monetary value on each element of input (resources) and each of the outputs. For example, preventing incarceration would be converted to the dollars saved on jail/prison costs; and, perhaps, including the individuals’ ability to keep their jobs and homes which could be lost with incarceration, as well as preventing family members needing public assistance and/or children being placed in foster care if their family member is incarcerated.
• cost-effectiveness: What is the ratio of cost units (numerator) to outcome units (denominator) associated with delivering an intervention. Outcomes are tied to the intervention goals rather than monetary units. For example, medical interventions are often analyzed in terms of DALYs (disability-adjusted life years)—units designed to indicate “disease burden,” calculated to represent the number of years lost to illness, disability, or premature death (morbidity and mortality). Outcomes might also be numbers of “cases,” such as deaths or hospitalizations related to suicide attempts, drug overdose events, students dropping out from high school, children reunited with their families (family reunification), reports of child maltreatment, persons un- or under-employed, and many more examples. Costs are typically presented as monetary units estimated from a costs analysis. (See http://www.who.int/heli/economics/costeffanalysis/en/ ).
• cost-utility: A comparison of cost-effectiveness for two or more intervention options, designed to help decision-makers make informed choices between the options.

Two of the greatest challenges with these kinds of evaluation are (1) ensuring that all relevant inputs and outputs are included in the analysis, and (2) realistically converting non-monetary costs and benefits into monetary units to standardize comparisons. An additional challenge has to do with budget structures: the gains might be realized in a different budget than where the costs are borne. For example, implementing a mental health or substance misuse treatment program in jails and prisons costs those facilities; the benefits are realized in budgets outside those facilities—schools, workplaces, medical facilities, family services, and mental health programs in the community. Thus, it is challenging to make decisions based on these analyses when constituents are situated in different systems operating with “siloed” budgets where there is little or no sharing across systems.

An Additional Point.

An intervention or evaluation effort does not necessarily need to be limited to one types. As in the case of mixed-methods approaches, it is sometimes helpful to engage in multiple evaluation efforts with a single intervention or program. A team of investigators described how they used formative, process, and outcome evaluation all in the pursuit of understanding a single preventive public health intervention called VERB, designed to increase physical activity among youth (Berkowitz et al., 2008). Their formative evaluation efforts allowed the team to assess the intervention’s appropriateness for the target audience and to test different messages. The process evaluation addressed fidelity of the intervention during implementation. And, the outcome evaluation led the team to draw conclusions concerning the intervention’s effects on the target audience. The various forms of evaluation utilized qualitative and quantitative approaches.

Participatory Research Approaches

One contrasts previously noted between qualitative and quantitative research is the nature of the investigator’s role. Every effort is made to minimize investigator influence on the data collection and analysis processes in quantitative research. Qualitative research, on the other hand, recognizes the investigator as an integral part of the research process. Participatory research fits into this latter category.

“Participant observation is a method in which natural social processes are studied as they happen (in the field, rather than in the laboratory) and left relatively undisturbed. It is a means of seeing the social world as the research subjects see it, in its totality, and of understanding subjects’ interpretations of that world” (Engel & Schutt, 2013, p. 276).

This quote describes naturalistic observation very well. The difference with participatory observation is that the investigator is embedded in the group, neighborhood, community, institution, or other entity under study. Participatory observation is one approach used by anthropologists to understand cultures from an embedded rather than outsider perspective. For example, this is how Jane Goodall learned about chimpanzee culture in Tanzania: she became accepted as part of the group she observed, allowing her to describe the members’ behaviors and social relationships, her own experiences as a member of the group, and the theories she derived from 55 years of this work. In social work, the participant approach may be used to answer the research questions of the type we explored in our earlier course: understanding diverse populations, social work problems, or social phenomena. The investigator might be a natural member of the group, where the role as group member precedes the role as observer. This is where the term indigenous membership applies: naturally belonging to the group. (The term “indigenous people” describes the native, naturally occurring inhabitants of a place or region.) It is sometimes difficult to determine how the indigenous member’s observations and conclusions might be influenced by his or her position within the group—for example, the experience might be different for men and women, members of different ages, or leaders. Thus, the conclusions need to be confirmed by a diverse membership.

Participant observers are sometimes “adopted” members of the group, where the role of observer precedes their role as group member. It is somewhat more difficult to determine if evidence collected under these circumstances reflects a fully accurate description of the members’ experience unless the evidence and conclusions have been cross-checked by the group’s indigenous members. Turning back to our example with Jane Goodall, she was accepted into the chimpanzee troop in many ways, but not in others—she could not experience being a birth mother to members of the group, for example.

Sometimes investigators are more actively engaged in the life of the group being observed. As previously noted, participant observation is about the processes being left relatively undisturbed (Engel & Schutt, 2013, p. 276).  However, participant observers might be more actively engaged in change efforts, documenting the change process from “inside” the group promoting change. These instances are called participatory action research (PAR) , where the investigator is an embedded member of the group, joining them in making a concerted effort to influence change. PAR involves three intersecting roles: participation in the group, engaging with the action process (planning and implementing interventions), and conducting research about the group’s action process (see Figure 2-1, adapted from Chevalier & Buckles, 2013, p. 10).

Figure 2-1. Venn diagram of participatory action research roles.

For example, Pyles (2015) described the experience of engaging in participatory action research with rural organizations and rural disaster survivors in Haiti following the January 12, 2010 earthquake. The PAR aimed to promote local organizations’ capacity to engage in education and advocacy and to secure much-needed resources for their rural communities (Pyles, 2015, p. 630). According to the author, rural Haitian communities have a history of experience with exploitative research where outsiders conduct investigations without the input or participation of community members, and where little or no capacity-building action occurs based on study results and recommendations. Pyles also raised the point that, “there are multiple barriers impeding the participation of marginalized people” in community building efforts, making PAR approaches even more important for these groups (2015, p. 634).

The term community-based participatory research (CBPR) refers to collaborative partnerships between members of a community (e.g., a group, neighborhood, or organization) and researchers throughout the entire research process. CBPR partners (internal and external members) all contribute their expertise to the process, throughout the process, and share in all steps of decision-making. Stakeholder members of the community (or organization) are involved as active, equal partners in the research process, co-learning by all members of the collaboration is emphasized, and it represents a strengths-focused approach (Harris, 2010; Holkup, Tripp-Reier, Salois, & Weinert, 2004). CBPR is relevant in our efforts to understand social work interventions since the process can result in interventions that are culturally appropriate, feasible, acceptable, and applicable for the community since they emerged from within that community. Furthermore, it is a community empowerment approach whereby self-determination plays a key role and the community is left with new skills for self-study, evaluation, and understanding the change process (Harris, 2010). These characteristics of CBPR help define the approach.

(a) recognizing the community as a unit of identity,

(b) building on the strengths and resources of the community,

(c) promoting colearning among research partners,

(d) achieving a balance between research and action that mutually benefits both science and the community,

(e) emphasizing the relevance of community-defined problems,

(f) employing a cyclical and iterative process to develop and maintain community/ research partnerships,

(g) disseminating knowledge gained from the CBPR project to and by all involved partners, and

(h) requiring long-term commitment on the part of all partners ( Holkup, Tripp-Reier, Salois, & Weinert, 2004, p. 2).

Quinn et al (2017) published a case study of CBPR practices being employed with youth at risk of homelessness and exposure to violence. The authors cited a “paucity of evidence-based, developmentally appropriate interventions” to address the mental health needs of youth exposed to violence (p. 3). The CBPR process helped determine the acceptability of a person-centered trauma therapy approach called narrative exposure therapy (NET). The results of three pilot projects combined to inform the design of a randomized controlled trial (RCT) to study the impact of the NET intervention. The three pilot projects engaged researchers and members of the population to be served (youth at risk of homelessness and exposure to violence). The authors of the case study article discussed some of the challenges of working with youth in the CBPR process and research process. Adapted from Quinn et al (2017), these included:

• Compliance with federal regulations for research involving minors (defined as “children” in the policies). Compounding this challenge was the vulnerable status of the youth due to their homeless status, and the frequency with which many of the youth were not engaged with any adults who had legal authority to provide consent for them to participate.
• The team was interdisciplinary, which brings many advantages. However, it also presented challenges regarding different perspectives about how to engage in the varied research processes of participant recruitment and retention, measurement, and intervention.
• Logistics of conducting focus groups with this vulnerable population. Youth encounter difficulties with participating predictably, and for this vulnerable population the practical difficulties are compounded. They experience complex and often competing demands on their schedules, “including school obligations, court, group or other agency appointments, or childcare,” as well as managing public transportation schedules and other barriers (p. 11). Furthermore, members of the group may have pre-existing relationships and social network ties that can impinge on their comfort with openly sharing their experiences or perspectives in the group setting. They may also have skepticism and reservations about sharing with the adults leading the focus group sessions.

Awareness of these challenges can help CBPR teams develop solutions to overcome the barriers. The CBPR process, while time and resource intensive, can result in appropriate intervention designs for under-served populations where existing evidence is not available to guide intervention planning.

A somewhat different approach engages members of the community as consultants regarding interventions with which they may be engaged, rather than a fully CBPR approach. This adapted consultation approach presents an important option for ensuring that interventions are appropriate and acceptable for serving the community. However, community members are less integrally involved in the action-related aspects of defining and implementing the intervention, or in the conduct of the implementation research. An example of this important community-as-consultant approach involved a series of six focus group sessions conducted with parents, teachers, and school stakeholders discussing teen pregnancy prevention among high-school aged Latino youth (Johnson-Motoyama et al., 2016). The investigating team reported recommendations and requests from these community members concerning the important role played by parents and potential impact of parent education efforts in preventing teen pregnancy within this population. The community members also identified the importance of comprehensive, empowering, tailored programming that addresses self-respect, responsibility, and “realities,” and incorporates peer role models. They concluded that local school communities have an important role to play in planning for interventions that are “responsive to the community’s cultural values, beliefs, and preferences, as well as the school’s capacity and teacher preferences” (p. 513). Thus, the constituencies involved in this project served as consultants rather than CBPR collaborators. However, the resulting intervention plans could be more culturally appropriate and relevant than intervention plans developed by “outsiders” alone.

One main limitation to conducting CBPR work is the immense amount of time and effort involved in developing strong working collaborative relationships—relationships that can stand the test of time. Collaborative relationships are often built from a series of “quick wins” or small successes over time, where the partners learn about each other, learn to trust each other, and learn to work together effectively.

Chapter Summary

This chapter began with a review of concepts from our earlier course: qualitative, quantitative, mixed-methods, cross-sectional and longitudinal approaches. Expanded content about approach came next: formative, process, outcome, and cost evaluation approaches were connected to the kinds of intervention questions social workers might ask, and participatory research approaches were introduced. Issues of cultural relevance were explored, as well. This discussion of approach leads to an expanded discussion of quantitative study design strategies, which is the topic of our next chapter.

Stop and Think

Social Work 3402 Coursebook Copyright © by Dr. Audrey Begun is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License , except where otherwise noted.

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Online Guide to Writing and Research

The research process, explore more of umgc.

• Online Guide to Writing

Structuring the Research Paper

Formal research structure.

These are the primary purposes for formal research:

enter the discourse, or conversation, of other writers and scholars in your field

learn how others in your field use primary and secondary resources

find and understand raw data and information

For the formal academic research assignment, consider an organizational pattern typically used for primary academic research.  The pattern includes the following: introduction, methods, results, discussion, and conclusions/recommendations.

Usually, research papers flow from the general to the specific and back to the general in their organization. The introduction uses a general-to-specific movement in its organization, establishing the thesis and setting the context for the conversation. The methods and results sections are more detailed and specific, providing support for the generalizations made in the introduction. The discussion section moves toward an increasingly more general discussion of the subject, leading to the conclusions and recommendations, which then generalize the conversation again.

Sections of a Formal Structure

The introduction section.

Many students will find that writing a structured  introduction  gets them started and gives them the focus needed to significantly improve their entire paper. 

Introductions usually have three parts:

presentation of the problem statement, the topic, or the research inquiry

purpose and focus of your paper

summary or overview of the writer’s position or arguments

In the first part of the introduction—the presentation of the problem or the research inquiry—state the problem or express it so that the question is implied. Then, sketch the background on the problem and review the literature on it to give your readers a context that shows them how your research inquiry fits into the conversation currently ongoing in your subject area. 

In the second part of the introduction, state your purpose and focus. Here, you may even present your actual thesis. Sometimes your purpose statement can take the place of the thesis by letting your reader know your intentions. 

The third part of the introduction, the summary or overview of the paper, briefly leads readers through the discussion, forecasting the main ideas and giving readers a blueprint for the paper. 

The following example provides a blueprint for a well-organized introduction.

Example of an Introduction

Entrepreneurial Marketing: The Critical Difference

In an article in the Harvard Business Review, John A. Welsh and Jerry F. White remind us that “a small business is not a little big business.” An entrepreneur is not a multinational conglomerate but a profit-seeking individual. To survive, he must have a different outlook and must apply different principles to his endeavors than does the president of a large or even medium-sized corporation. Not only does the scale of small and big businesses differ, but small businesses also suffer from what the Harvard Business Review article calls “resource poverty.” This is a problem and opportunity that requires an entirely different approach to marketing. Where large ad budgets are not necessary or feasible, where expensive ad production squanders limited capital, where every marketing dollar must do the work of two dollars, if not five dollars or even ten, where a person’s company, capital, and material well-being are all on the line—that is, where guerrilla marketing can save the day and secure the bottom line (Levinson, 1984, p. 9).

By reviewing the introductions to research articles in the discipline in which you are writing your research paper, you can get an idea of what is considered the norm for that discipline. Study several of these before you begin your paper so that you know what may be expected. If you are unsure of the kind of introduction your paper needs, ask your professor for more information.  The introduction is normally written in present tense.

THE METHODS SECTION

The methods section of your research paper should describe in detail what methodology and special materials if any, you used to think through or perform your research. You should include any materials you used or designed for yourself, such as questionnaires or interview questions, to generate data or information for your research paper. You want to include any methodologies that are specific to your particular field of study, such as lab procedures for a lab experiment or data-gathering instruments for field research. The methods section is usually written in the past tense.

THE RESULTS SECTION

How you present the results of your research depends on what kind of research you did, your subject matter, and your readers’ expectations. 

Quantitative information —data that can be measured—can be presented systematically and economically in tables, charts, and graphs. Quantitative information includes quantities and comparisons of sets of data. 

Qualitative information , which includes brief descriptions, explanations, or instructions, can also be presented in prose tables. This kind of descriptive or explanatory information, however, is often presented in essay-like prose or even lists.

There are specific conventions for creating tables, charts, and graphs and organizing the information they contain. In general, you should use them only when you are sure they will enlighten your readers rather than confuse them. In the accompanying explanation and discussion, always refer to the graphic by number and explain specifically what you are referring to; you can also provide a caption for the graphic. The rule of thumb for presenting a graphic is first to introduce it by name, show it, and then interpret it. The results section is usually written in the past tense.

THE DISCUSSION SECTION

Your discussion section should generalize what you have learned from your research. One way to generalize is to explain the consequences or meaning of your results and then make your points that support and refer back to the statements you made in your introduction. Your discussion should be organized so that it relates directly to your thesis. You want to avoid introducing new ideas here or discussing tangential issues not directly related to the exploration and discovery of your thesis. The discussion section, along with the introduction, is usually written in the present tense.

THE CONCLUSIONS AND RECOMMENDATIONS SECTION

Your conclusion ties your research to your thesis, binding together all the main ideas in your thinking and writing. By presenting the logical outcome of your research and thinking, your conclusion answers your research inquiry for your reader. Your conclusions should relate directly to the ideas presented in your introduction section and should not present any new ideas.

You may be asked to present your recommendations separately in your research assignment. If so, you will want to add some elements to your conclusion section. For example, you may be asked to recommend a course of action, make a prediction, propose a solution to a problem, offer a judgment, or speculate on the implications and consequences of your ideas. The conclusions and recommendations section is usually written in the present tense.

Key Takeaways

• For the formal academic research assignment, consider an organizational pattern typically used for primary academic research. 
•  The pattern includes the following: introduction, methods, results, discussion, and conclusions/recommendations.

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Table of Contents: Online Guide to Writing

Chapter 1: College Writing

How Does College Writing Differ from Workplace Writing?

What Is College Writing?

Why So Much Emphasis on Writing?

Chapter 2: The Writing Process

Doing Exploratory Research

Getting from Notes to Your Draft

Introduction

Prewriting - Techniques to Get Started - Mining Your Intuition

Prewriting: Targeting Your Audience

Prewriting: Techniques to Get Started

Prewriting: Understanding Your Assignment

Rewriting: Being Your Own Critic

Rewriting: Creating a Revision Strategy

Rewriting: Getting Feedback

Rewriting: The Final Draft

Techniques to Get Started - Outlining

Techniques to Get Started - Using Systematic Techniques

Thesis Statement and Controlling Idea

Writing: Getting from Notes to Your Draft - Freewriting

Writing: Getting from Notes to Your Draft - Summarizing Your Ideas

Writing: Outlining What You Will Write

Chapter 3: Thinking Strategies

A Word About Style, Voice, and Tone

A Word About Style, Voice, and Tone: Style Through Vocabulary and Diction

Critical Strategies and Writing

Critical Strategies and Writing: Analysis

Critical Strategies and Writing: Evaluation

Critical Strategies and Writing: Persuasion

Critical Strategies and Writing: Synthesis

Developing a Paper Using Strategies

Kinds of Assignments You Will Write

Patterns for Presenting Information

Patterns for Presenting Information: Critiques

Patterns for Presenting Information: Discussing Raw Data

Patterns for Presenting Information: General-to-Specific Pattern

Patterns for Presenting Information: Problem-Cause-Solution Pattern

Patterns for Presenting Information: Specific-to-General Pattern

Patterns for Presenting Information: Summaries and Abstracts

Supporting with Research and Examples

Writing Essay Examinations

Writing Essay Examinations: Make Your Answer Relevant and Complete

Writing Essay Examinations: Organize Thinking Before Writing

Writing Essay Examinations: Read and Understand the Question

Chapter 4: The Research Process

Planning and Writing a Research Paper

Planning and Writing a Research Paper: Ask a Research Question

Planning and Writing a Research Paper: Cite Sources

Planning and Writing a Research Paper: Collect Evidence

Planning and Writing a Research Paper: Decide Your Point of View, or Role, for Your Research

Planning and Writing a Research Paper: Draw Conclusions

Planning and Writing a Research Paper: Find a Topic and Get an Overview

Planning and Writing a Research Paper: Manage Your Resources

Planning and Writing a Research Paper: Outline

Planning and Writing a Research Paper: Survey the Literature

Planning and Writing a Research Paper: Work Your Sources into Your Research Writing

Research Resources: Where Are Research Resources Found? - Human Resources

Research Resources: What Are Research Resources?

Research Resources: Where Are Research Resources Found?

Research Resources: Where Are Research Resources Found? - Electronic Resources

Research Resources: Where Are Research Resources Found? - Print Resources

Structuring the Research Paper: Formal Research Structure

Structuring the Research Paper: Informal Research Structure

The Nature of Research

The Research Assignment: How Should Research Sources Be Evaluated?

The Research Assignment: When Is Research Needed?

The Research Assignment: Why Perform Research?

Chapter 5: Academic Integrity

Academic Integrity

Giving Credit to Sources

Giving Credit to Sources: Copyright Laws

Giving Credit to Sources: Documentation

Giving Credit to Sources: Style Guides

Integrating Sources

Practicing Academic Integrity

Practicing Academic Integrity: Keeping Accurate Records

Practicing Academic Integrity: Managing Source Material

Practicing Academic Integrity: Managing Source Material - Paraphrasing Your Source

Practicing Academic Integrity: Managing Source Material - Quoting Your Source

Practicing Academic Integrity: Managing Source Material - Summarizing Your Sources

Types of Documentation

Types of Documentation: Bibliographies and Source Lists

Types of Documentation: Citing World Wide Web Sources

Types of Documentation: In-Text or Parenthetical Citations

Types of Documentation: In-Text or Parenthetical Citations - APA Style

Types of Documentation: In-Text or Parenthetical Citations - CSE/CBE Style

Types of Documentation: In-Text or Parenthetical Citations - Chicago Style

Types of Documentation: In-Text or Parenthetical Citations - MLA Style

Types of Documentation: Note Citations

Chapter 6: Using Library Resources

Finding Library Resources

Chapter 7: Assessing Your Writing

How Is Writing Graded?

How Is Writing Graded?: A General Assessment Tool

The Draft Stage

The Draft Stage: The First Draft

The Draft Stage: The Revision Process and the Final Draft

The Draft Stage: Using Feedback

The Research Stage

Using Assessment to Improve Your Writing

Chapter 8: Other Frequently Assigned Papers

Reviews and Reaction Papers: Article and Book Reviews

Reviews and Reaction Papers: Reaction Papers

Writing Arguments

Writing Arguments: Adapting the Argument Structure

Writing Arguments: Purposes of Argument

Writing Arguments: References to Consult for Writing Arguments

Writing Arguments: Steps to Writing an Argument - Anticipate Active Opposition

Writing Arguments: Steps to Writing an Argument - Determine Your Organization

Writing Arguments: Steps to Writing an Argument - Develop Your Argument

Writing Arguments: Steps to Writing an Argument - Introduce Your Argument

Writing Arguments: Steps to Writing an Argument - State Your Thesis or Proposition

Writing Arguments: Steps to Writing an Argument - Write Your Conclusion

Writing Arguments: Types of Argument

Appendix A: Books to Help Improve Your Writing

Dictionaries

General Style Manuals

Researching on the Internet

Special Style Manuals

Writing Handbooks

Appendix B: Collaborative Writing and Peer Reviewing

Collaborative Writing: Assignments to Accompany the Group Project

Collaborative Writing: Informal Progress Report

Collaborative Writing: Issues to Resolve

Collaborative Writing: Methodology

Collaborative Writing: Peer Evaluation

Collaborative Writing: Tasks of Collaborative Writing Group Members

Collaborative Writing: Writing Plan

General Introduction

Peer Reviewing

Appendix C: Developing an Improvement Plan

Working with Your Instructor’s Comments and Grades

Appendix D: Writing Plan and Project Schedule

Devising a Writing Project Plan and Schedule

Reviewing Your Plan with Others

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HOW TO WRITE CHAPTER THREE OF YOUR RESEARCH PROJECT (RESEARCH METHODOLOGY) | ResearchWap Blog

• Posted: Friday, 17 April 2020
• By: ResearchWap Admin

How To Write Chapter Three Of Your Research Project (Research Methodology)

Methodology In Research Paper

Chapter three of the research project or the research methodology is another significant part of the research project writing. In developing the chapter three of the research project, you state the purpose of research, research method you wish to adopt, the instruments to be used, where you will collect your data, types of data collection, and how you collected it.

This chapter explains the different methods to be used in the research project. Here you mention the procedures and strategies you will employ in the study such as research design, study design in research, research area (area of the study), the population of the study, etc.

You also tell the reader your research design methods, why you chose a particular method, method of analysis, how you planned to analyze your data. Your methodology should be written in a simple language such that other researchers can follow the method and arrive at the same conclusion or findings.

You can choose a survey design when you want to survey a particular location or behavior by administering instruments such as structured questionnaires, interviews, or experimental; if you intend manipulating some variables.

The purpose of chapter three (research methodology) is to give an experienced investigator enough information to replicate the study. Some supervisors do not understand this and require students to write what is in effect, a textbook.

A research design is used to structure the research and to show how all of the major parts of the research project, including the sample, measures, and methods of assignment, work together to address the central research questions in the study. The chapter three should begin with a paragraph reiterating the purpose of research.

It is very important that before choosing design methods, try and ask yourself the following questions:

Will I generate enough information that will help me to solve the research problem by adopting this method?

Method vs Methodology

I think the most appropriate in methods versus methodology is to think in terms of their inter-connectedness and relationship between both. You should not beging thinking so much about research methods without thinking of developing a research methodology.

Metodologia or methodology is the consideration of your research objectives and the most effective method  and approach to meet those objectives. That is to say that methodology in research paper is the first step in planning a research project work. 

Design Methodology: Methodological Approach                

Example of methodology in research paper, you are attempting to identify the influence of personality on a road accident, you may wish to look at different personality types, you may also look at accident records from the FRSC, you may also wish to look at the personality of drivers that are accident victims, once you adopt this method, you are already doing a survey, and that becomes your  metodologia or methodology .

Your methodology should aim to provide you with the information to allow you to come to some conclusions about the personalities that are susceptible to a road accident or those personality types that are likely to have a road accident. The following subjects may or may not be in the order required by a particular institution of higher education, but all of the subjects constitute a defensible in metodologia or methodology chapter.

 READ ALSO:  HOW TO WRITE EFFECTIVE RESEARCH PROJECT ABSTRACT

Methodology

A  methodology  is the rationale for the research approach, and the lens through which the analysis occurs. Said another way, a methodology describes the “general research strategy that outlines the way in which research is to be undertaken” The methodology should impact which method(s) for a research endeavor are selected in order to generate the compelling data.

Example Of Methodology In Research Paper :

• Phenomenology: describes the “lived experience” of a particular phenomenon
• Ethnography: explores the social world or culture, shared beliefs and behaviors
• Participatory: views the participants as active researchers
• Ethno methodology: examines how people use dialogue and body language to construct a world view
• Grounding theory*: assumes a blank slate and uses an inductive approach to develop a new theory

A  method  is simply the tool used to answer your research questions — how, in short, you will go about collecting your data.

Methods Section Of Research Paper Example :

• Contextual inquiry
• Usability study
• Diary study

If you are choosing among these, you might say “what method should I use?” and settle on one or more methods to answer your research question.

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Research Design Definition: WRITING A RESEARCH DESIGN

A qualitative study does not have variables. A scientific study has variables, which are sometimes mentioned in Chapter 1 and defined in more depth in Chapter 3. Spell out the independent and dependent, variables. An unfortunate trend in some institutions is to repeat the research questions and/or hypotheses in both Chapter 1 and Chapter 3. Sometimes an operational statement of the research hypotheses in the null form is given to set the stage for later statistical inferences. In a quantitative study, state the level of significance that will be used to accept or reject the hypotheses.

Pilot Study

In a quantitative study, a survey instrument that the researcher designed needs a pilot study to validate the effectiveness of the instrument, and the value of the questions to elicit the right information to answer the primary research questions in. In a scientific study, a pilot study may precede the main observation to correct any problems with the instrumentation or other elements in the data collection technique. Describe the pilot study as it relates to the research design, development of the instrument, data collection procedures, or characteristics of the sample.

Instruments

In a research study, the instrument used to collect data may be created by the researcher or based on an existing instrument. If the instrument is the researcher created, the process used to select the questions should be described and justified. If an existing instrument is used, the background of the instrument is described including who originated it, and what measures were used to validate it.

If a Likert scale is used, the scale should be described. If the study involves interviews, an interview protocol should be developed that will result in a consistent process of data collection across all interviews. Two types of questions are found in an interview protocol: the primary research questions, which are not asked of the participants, and the interview questions that are based on the primary research questions and are asked of the participants.

In a qualitative study, this is the section where most of the appendices are itemized, starting with letters of permission to conduct the study and letters of invitation to participate with the attached consent forms. Sample: this has to do with the number of your participants or subjects as the case may be. Analysis (how are you planning to analyze the results?)

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EFFECTIVE GUIDE AND METHODOLOGY SAMPLES

This chapter deals effectively with the research methods to be adopted in conducting the research, and it is organized under the following sub-headings:

• Research Design
• Area of Study

The population of the Study

• Sample and Sampling Techniques
• Instruments for Data Collection

The validity of the Instrument

Reliability of the Instrument

• Administration of the instruments
• Scoring the instruments

Method of Data Collection

Method of Data Analysis

Research Design:

This has to do with the structure of the research instrument to be used in collecting data. It could be in sections depending on different variables that form the construct for the entire topic of the research problems. A reliable instrument with a wrong research design will adversely affect the reliability and generalization of the research. The choice of design suitable for each research is determined by many factors among which are: kind of research, research hypothesis, the scope of the research, and the sensitive nature of the research.

Area of Study:

Research Area; this has to do with the geographical environment of the study area where the places are located, the historical background when necessary and commercial activities of that geographical area. For example, the area of the study is Ebonyi State University. At the creation of Ebonyi State in 1996, the Abakaliki campus of the then ESUT was upgraded to Ebonyi State University College by Edict no. 5 of Ebonyi State, 1998 still affiliated to ESUT with Prof. Fidelis Ogah, former ESUT Deputy Vice-Chancellor as the first Rector. In 1997, the Faculty of Applied and Natural Sciences with 8 departments was added to the fledging University, and later in 1998 when the ESUT Pre-Science Programme was relocated to Nsukka, the EBSUC Pre-Degree School commenced lectures in both Science and Arts in replacement of the former. This study focused on the students of the Business Education department in Ebonyi state university.

The population is regarded in research work as the type of people and the group of people under investigation. It has to be specific or specified. For example educational study teachers in Lagos state. Once the population is chosen, the next thing is to choose the samples from the population.

According to Uma (2007), the population is referred to as the totality of items or object which the researcher is interested in. It can also be the total number of people in an area of study. Hence, the population of this study comprised of all the students in the department of Business Education, Ebonyi State University which is made up of year one to four totaling 482. The actual number for the study was ascertained using Yaro-Yamane's formula which stated thus:

n   =        N

N is the Population

1 is constant

e is the error margin

Then, n   =         482

1+482(0.05)2

= 214.35 approximately 214

Sample and sampling technique:

It may not be possible to reach out to the number of people that form the entire population for the study to either interview, observe, or serve them with copies of the questionnaire. To be realistic, the sample should be up to 20% of the total population. Two sampling techniques are popular among all the sampling techniques. These are random and stratified random sampling techniques. (A). in Random Sampling, the writers select any specific number from a place like a school, village, etc. (B). In Stratified Random Sampling, one has to indicate a specific number from a stratum which could be a group of people according to age, qualification, etc. or different groups from different locations and different considerations attached.

Instruments for Data Collection:

This is a device or different devices used in collecting data. Example: interview, questionnaire, checklist, etc. instrument is prepared in sets or subsections, each set should be an entity thus asking questions about a particular variable to be tested after collecting data. The type of instrument used will determine the responses expected. All questions should be well set so as to determine the reliability of the instrument.

This has to do with different measures in order to determine the validity and reliability of the research instrument. For example, presenting the drafted questionnaire to the supervisor for scrutiny. Giving the questionnaire to the supervisor for useful comments and corrections would help to validate the instrument.

The test-retest reliability method is one of the simplest ways of testing the stability and reliability of an instrument over time. The test-retest approach was adopted by the researcher in establishing the reliability of the instrument. In doing this 25 copies of the questionnaire were administered on twenty-five selected respondents. After two weeks another 25 copies of the same questionnaire were re-administered on the same group. Their responses on the two occasions were correlated using Parsons Product Moment Correlation. A co-efficient of 0.81 was gotten and this was high enough to consider the instrument reliable.

Administration of the instruments:

Here, the writer states whether he or she administers the test personally or through an assistant. He also indicates the rate of return of the copies of the questionnaire administered.

Scoring the instruments:

Here items on the questionnaire or any other device used must be assigned numerical values. For example, 4 points to strongly agree, 3 points to agree, 2 points to disagree, and 1 point to strongly disagree.

Table of Analysis

The researcher collected data using the questionnaire. Copies of the questionnaire were administered by the researcher on the respondents. All the respondents were expected to give maximum co-operation, as the information on the questionnaire is all on things that revolve around their study. Hence, enough time was taken to explain how to tick or indicate their opinion on the items stated in the research questionnaire.

In this study, the mean was used to analyze the data collected. A four (4) point Likert scale was used to analyze each of the questionnaire items.

The weighing was as follows:

VGE—————- Very Great Extent (4 points)

GE—————– Great Extent (3 points)

LE—————– Little Extent (2 points)

VLE—————- Very Little Extent (1 point)

SA—————– Strongly Agree (4 points)

A——————- Agree (3 points)

D—————— Disagree (2 points)

SD—————- Strongly Disagree (1 point)

The mean of the scale will then be determined by summing up the points and dividing their number as follows with the formula:

Where; x= mean

f= frequency

X= Nominal value of the option

∑= summation

N= Total Number

Therefore, the mean of the scale is 2.5.

This means that any item statement with a mean of 2.50 and above is considered agreed by the respondents and any item statement below 2.5 is considered disagreed.

EDITORS SOURCE: How To Write Chapter Three Of Your Research Project (Research Methodology)

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A New Chapter for Irish Historians’ ‘Saddest Book’

A globe-spanning research project has turned the catalog of a public archive destroyed in Ireland’s civil war into a model for reconstruction.

By Ed O’Loughlin

Reporting from Dublin

In the first pitched battle of the civil war that shaped a newly independent Ireland, seven centuries of history burned.

On June 30, 1922, forces for and against an accommodation with Britain, Ireland’s former colonial ruler, had been fighting for three days around Dublin’s main court complex. The national Public Record Office was part of the complex, and that day it was caught in a colossal explosion . The blast and the resulting fire destroyed state secrets, church records, property deeds, tax receipts, legal documents, financial data, census returns and much more, dating back to the Middle Ages.

“It was a catastrophe,” said Peter Crooks, a medieval historian at Trinity College Dublin. “This happened just after the First World War, when all over Europe new states like Ireland were emerging from old empires. They were all trying to recover and celebrate their own histories and cultures, and now Ireland had just lost the heart of its own.”

But perhaps it was not lost forever. Over the past seven years, a team of historians, librarians and computer experts based at Trinity has located duplicates for a quarter of a million pages of these lost records in forgotten volumes housed at far-flung libraries and archives, including several in the United States. The team then creates digital copies of any documents that it finds for inclusion in the Virtual Record Treasury of Ireland , an online reconstruction of the archive. Still a work in progress, the project says its website has had more than two million visits in less than two years.

Funded by the Irish government as part of its commemorations of a century of independence, the Virtual Treasury relies in part on modern technologies — virtual imaging, online networks, artificial intelligence language models and the growing digital indexes of archives around the world — but also on dusty printed catalogs and old-school human contacts. Key to the enterprise has been a book, “A Guide to the Records Deposited in the Public Record Office of Ireland,” published three years before the fire by the office’s head archivist, Herbert Wood.

“For a long time, Wood’s catalog was known to Irish historians as the saddest book in the world, because it only showed what was lost in the fire,” Dr. Crooks said. “But now it has become the basis for our model to recreate the national archive. There were 4,500 series of records listed in Wood’s book, and we went out to look for as many of them as we could find.”

A major partner in this hunt was the National Archives in Britain, to which centuries of Irish government records — notably tax receipts — had been sent in duplicate. The Public Record Office of Northern Ireland, which remains part of the United Kingdom, has also been a major partner, contributing records from the centuries before Ireland was partitioned in 1921.

A considerable haul of documents has also been uncovered in the United States. The Library of Congress, for example, dug up dozens of volumes of lost debates from Ireland’s 18th-century Parliament. According to David Brown, who leads the Virtual Treasury’s trawl through domestic and overseas archives, before this trove of political history came into Congress’s possession, one previous owner had tried to sell it as fuel. Serendipity has often played a role in such U.S. discoveries, he said.

“You would have old family records stored away in some gentleman’s library, and he’d move to the colonies, and take the books with him,” Dr. Brown said. “Or else heirs would eventually sell the old library off to collectors, and eventually an American university or library might buy the collection, maybe because they wanted something important in it, and they took everything else that came with it. Archivists may not always know what they have, but they never throw anything out.”

The Huntington Library in California, and libraries of the universities of Kansas, Chicago, Notre Dame, Yale and Harvard are among around a dozen U.S. organizations to respond positively to the hopeful request from the Irish: “Do you have anything there that might be of interest to us?” And in the process of hunting down material that is already on its radar, the Virtual Treasury team is also uncovering, and incorporating, unexpected treasures.

One is a previously unnoticed 1595 letter shown to Dr. Brown late last year while he was visiting Yale’s Lewis Walpole Library to view some other material. In it, Sir Ralph Lane — a founder and survivor of the infamous lost colony of Roanoke, off North Carolina, which had vanished in the decade before this letter was written — petitions Queen Elizabeth I to order the conquest of Ulster, then a Gaelic stronghold in the north of English-ruled Ireland.

Dr. Brown, a specialist in early modern Atlantic history, said the letter — long overlooked because it was bound in a volume with much later documents — showed the close connection between England’s colonial conquests in North America and Ireland, both in the personalities involved and their motivation. The letter suggests conquering Ulster primarily so that the English could seize the inhabitants’ land, and it proposes paying for the war by looting the Ulster chiefs’ cattle. The area was ultimately conquered and colonized in 1609, six years after Lane’s death.

“For the Elizabethan adventurers, colonialism was a branch of piracy. All they wanted was land,” Dr. Brown said. “Roanoke hadn’t worked out for Lane, and Elizabeth had just granted Sir Walter Raleigh 10,000 acres of land in Munster,” in the south of Ireland. “So Lane thought, if Raleigh got 10,000 acres in Munster, why can’t I have 10,000 acres in Ulster?”

Another contribution to the project could be seen in contemporary Northern Ireland, at the Public Record Office in Belfast. The head of conservation, Sarah Graham, was restoring and preserving a collection of records and letters kept by Archbishop John Swayne, who led the church in Ireland in the 15th century. Watching her at work was Lynn Kilgallon, research fellow in medieval history for the Virtual Treasury. Once preserved, its pages will be digitized and added to Dublin’s online archive.

“If you don’t understand the words in a book, it becomes just an object,” Ms. Graham said. “You need someone to read it — medievalists like Lynn here, to bring it to life.”

You do not necessarily need to be a specialist to read the documents in the Virtual Treasury, however. New artificial intelligence models developed for the project allow archivists to turn ancient handwriting into searchable digital text, with modern translations.

The site went online in June 2022, the 100th anniversary of the records office fire, and is aiming for 100 million searchable words by 2025, a target it says it is three-quarters of the way to reaching. Eventually, it hopes to recover 50 to 90 percent of records from some priority areas, such as censuses from before and after Ireland’s Great Famine in the mid-19th century, which are of particular value to historians, and to people of Irish descent tracing their roots. More than half of the details of the first nationwide census of Ireland, a religious head count in 1766, have been retrieved and published.

“Cultural loss is sadly a very prominent theme in the world right now, and I don’t think there is an example like this, where there’s been so much international cooperation in the reconstruction of a lost archive,” Dr. Crooks said. “It shows that the collective culture of many countries can be brought together to achieve a goal. Borders are fluid.”

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Regions & Countries

1. teachers’ job satisfaction.

Only a third of teachers say they’re extremely or very satisfied with their job overall. About half (48%) say they’re somewhat satisfied, while 18% say they are not too or not at all satisfied with their job.

Compared with all U.S. workers (across different industries and occupations), teachers express much lower job satisfaction. In a Center survey conducted in early 2023 , 51% of all employed adults said they were extremely or very satisfied with their job overall.

Teachers’ job satisfaction is fairly consistent across grade levels, though elementary school teachers are somewhat less likely than high school teachers to say they’re extremely or very satisfied (30% vs. 36%). The share among middle school teachers is not significantly different from that of elementary or high school teachers.

Satisfaction with specific aspects of the job

When we asked teachers how satisfied they are with various aspects of their job, we found that teachers get the most satisfaction from their relationship with fellow teachers and the least satisfaction from how much they’re paid.

About seven-in-ten teachers (71%) are extremely or very satisfied with their relationship with other teachers at their school.

Between 45% and 52% are extremely or very satisfied with each of the following:

• Their relationship with administrators at their school (52%)
• How much freedom they have in implementing the curriculum (46%)
• Their relationship with their students’ parents (45%)

Fewer than four-in-ten are extremely or very satisfied with these aspects of their job:

• Access to the resources they need to do their job (36%)
• Opportunities for training or ways to develop new skills (36%)
• Benefits their employer provides (35%)

Only 15% are extremely or very satisfied with how much they are paid. And by far the highest level of dissatisfaction is over salary – 51% of teachers say they are not too or not at all satisfied with how much they are paid.

While views are largely consistent across groups of teachers and types of schools, there are some notable differences.

Differences by school level

Elementary school teachers stand out as being less satisfied than middle and high school teachers with how much freedom they have in implementing curriculum.

About four-in-ten elementary school teachers (39%) say they are extremely or very satisfied with this aspect of their job, compared with 50% of middle school teachers and 53% of high school teachers.

Elementary school teachers are more satisfied than middle and high school teachers when it comes to their relationships with their students’ parents: 55% are highly satisfied, compared with 38% of middle school teachers and 35% of high school teachers.

Differences by poverty level

Teachers in low-poverty schools are more satisfied than those in medium- and high-poverty schools when it comes to their relationship with their students’ parents: 51% are highly satisfied, compared with 39% and 40%, respectively.

And teachers in high-poverty schools are more likely than those in medium- and low-poverty schools to say they are not satisfied with how much freedom they have in implementing curriculum (30% vs. 22% and 17%, respectively, say they are not too or not at all satisfied).

Poverty levels are based on the percentage of students in the school who are eligible for free and reduced-price lunch.

Do teachers feel trusted to do their job well?

Teachers are skeptical overall that the public trusts teachers to do a good job. Only 18% think most Americans trust public K-12 teachers a great deal or a fair amount to do their job well.

We also asked teachers how much trust they think their peers, administrators, students and students’ parents have in them. Majorities think each group trusts them a great deal or a fair amount to do their job well. But they feel the least strongly about this when it comes to their students’ parents.

About six-in-ten teachers (58%) say they think other teachers at their school trust them a great deal to do their job well. Some 53% say the same about their school administrators, and a similar share (52%) say this about their students.

The share saying their students’ parents trust them a great deal to do their job well is significantly lower (30%).

Elementary school teachers are more likely than middle and high school teachers to say their students and their students’ parents trust them a great deal.

For example, 62% of elementary school teachers say they think their students trust them a great deal to do their job well, compared with 45% of middle school teachers and 41% of high school teachers.

Likelihood that teachers will change jobs

We asked teachers to think about the future and assess how likely it is that they will look for a new job this school year. About three-in-ten teachers (29%) say it’s at least somewhat likely they’ll look for a new job, with 11% saying it is extremely or very likely they’ll do this.

About seven-in-ten teachers (71%) say it’s not too or not at all likely they’ll look for a new job this year. (The 2% who say they’re likely to retire or stop working in the next year are not included.)

Among teachers who say they may look for a new job, 40% say they’re most likely to seek a job outside education. Roughly three-in-ten (29%) say they’ll look for a non-teaching job in education, 18% say they’ll look for a teaching job at another public K-12 school, and 2% say they’ll look for a teaching job in a private school.

An additional 10% say it’s most likely they will take some other path.

Would teachers recommend teaching as a profession?

Teachers are about evenly split over whether they would advise a young person starting out today to become a teacher – 48% say they would, and 52% say they would not.

High school teachers are more likely than middle or elementary school teachers to say they’d advise a young person to become a teacher (56% vs. 46% and 43%, respectively).

Teachers who are newer to the job have a different view on this than those who’ve been teaching for over a decade.

Among those who’ve been teaching for less than six years, 57% say they’d recommend teaching as a career. The share is significantly lower among those who’ve been teaching 11 years or more (45%).

For teachers who’ve been in the profession six to 10 years, the share (48%) is not significantly different from that of newer or more experienced teachers.

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Table of contents, ‘back to school’ means anytime from late july to after labor day, depending on where in the u.s. you live, among many u.s. children, reading for fun has become less common, federal data shows, most european students learn english in school, for u.s. teens today, summer means more schooling and less leisure time than in the past, about one-in-six u.s. teachers work second jobs – and not just in the summer, most popular.

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• Research Objectives | Definition & Examples

Research Objectives | Definition & Examples

Published on July 12, 2022 by Eoghan Ryan . Revised on November 20, 2023.

Research objectives describe what your research is trying to achieve and explain why you are pursuing it. They summarize the approach and purpose of your project and help to focus your research.

Your objectives should appear in the introduction of your research paper , at the end of your problem statement . They should:

• Establish the scope and depth of your project
• Contribute to your research design
• Indicate how your project will contribute to existing knowledge

Table of contents

What is a research objective, why are research objectives important, how to write research aims and objectives, smart research objectives, other interesting articles, frequently asked questions about research objectives.

Research objectives describe what your research project intends to accomplish. They should guide every step of the research process , including how you collect data , build your argument , and develop your conclusions .

Your research objectives may evolve slightly as your research progresses, but they should always line up with the research carried out and the actual content of your paper.

Research aims

A distinction is often made between research objectives and research aims.

A research aim typically refers to a broad statement indicating the general purpose of your research project. It should appear at the end of your problem statement, before your research objectives.

Your research objectives are more specific than your research aim and indicate the particular focus and approach of your project. Though you will only have one research aim, you will likely have several research objectives.

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Research objectives are important because they:

• Establish the scope and depth of your project: This helps you avoid unnecessary research. It also means that your research methods and conclusions can easily be evaluated .
• Contribute to your research design: When you know what your objectives are, you have a clearer idea of what methods are most appropriate for your research.
• Indicate how your project will contribute to extant research: They allow you to display your knowledge of up-to-date research, employ or build on current research methods, and attempt to contribute to recent debates.

Once you’ve established a research problem you want to address, you need to decide how you will address it. This is where your research aim and objectives come in.

Step 1: Decide on a general aim

Your research aim should reflect your research problem and should be relatively broad.

Step 2: Decide on specific objectives

Break down your aim into a limited number of steps that will help you resolve your research problem. What specific aspects of the problem do you want to examine or understand?

Step 3: Formulate your aims and objectives

Once you’ve established your research aim and objectives, you need to explain them clearly and concisely to the reader.

You’ll lay out your aims and objectives at the end of your problem statement, which appears in your introduction. Frame them as clear declarative statements, and use appropriate verbs to accurately characterize the work that you will carry out.

The acronym “SMART” is commonly used in relation to research objectives. It states that your objectives should be:

• Specific: Make sure your objectives aren’t overly vague. Your research needs to be clearly defined in order to get useful results.
• Measurable: Know how you’ll measure whether your objectives have been achieved.
• Achievable: Your objectives may be challenging, but they should be feasible. Make sure that relevant groundwork has been done on your topic or that relevant primary or secondary sources exist. Also ensure that you have access to relevant research facilities (labs, library resources , research databases , etc.).
• Relevant: Make sure that they directly address the research problem you want to work on and that they contribute to the current state of research in your field.
• Time-based: Set clear deadlines for objectives to ensure that the project stays on track.

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

Research objectives describe what you intend your research project to accomplish.

They summarize the approach and purpose of the project and help to focus your research.

Your objectives should appear in the introduction of your research paper , at the end of your problem statement .

Your research objectives indicate how you’ll try to address your research problem and should be specific:

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.

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

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

To define your scope of research, consider the following:

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

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