research design doctoral thesis

Research Design 101: Research Methods for Students

Which of the many different types of research design is best for you?

One thing that you will want to consider early in your dissertation process is the design of your research study. By the time you start your dissertation or thesis, you have probably taken graduate and undergraduate courses about research methods; however, it has probably been a while since you have taken these courses, and you may need help sorting through all the different types of research design. Below is a brief refresher on different research designs and methodologies.

General Types of Research Designs

Descriptive: Researchers use descriptive research designs to describe particular phenomena or relationships within a single group sample. Descriptive designs are typically used as either pilot or preliminary studies and generally have rather basic statistical procedures. By nature, descriptive studies do not and cannot be used to explain causation.

Descriptive research designs usually provide researchers with information about a group or phenomenon about which there has been little research (e.g., mating patterns of Martians). However, descriptive studies lack randomization and control and cannot be used to determine causation and other implications; in other words, descriptive research designs can only be used to determine “who” and “what,” not “why.”

Quasi-Experimental: Researchers use quasi-experimental research designs to identify differences between two or more groups in an attempt to explain causation. What keeps these types of experiments from being true experiments is lack of randomization. For example, researchers cannot randomly assign gender to participants; therefore, any study in which researchers are investigating differences between genders is inherently quasi-experimental.

Quasi-experimental designs allow researchers more control to make assumptions about causation and implications of findings. Quasi-experimental designs are also useful when researchers want to study particular groups in which group members cannot be randomly assigned (e.g., persons with depression, single mothers, people from different races or ethnic groups, etc.). A major drawback to using quasi-experimental designs is that quasi-experimental research designs typically have less internal validity than do true experimental designs.

Experimental: Experimental research designs have the most control, and, thus, allow researchers to explain differences between groups. One of the key features of an experimental design is that participants are randomly assigned to groups. Experimental designs can be used to test differences between groups (e.g., treatment a group, treatment b group, and control group) or factorial differences within multiple levels of each group (e.g., a drug group [Xanax or Valium] and a psychotherapy group [Cognitive Behavioral Therapy or Rational Emotive Behavioral Therapy]).

True experimental research designs are understood to be the gold standard of research because experimental research designs are the best designs for researchers to predict causation. However, true experimental designs often require more resources than do other research designs and will not work with all research questions.

Specific Types of Research Designs

Single-Sample Repeated Measures: A design method in which the same group is tested at multiple points in time. Giving students an assessment of knowledge the first day of class and giving the same assessment on the last day of class is an example of a research design based on a single-sample repeated measures.

ABA: A specific single-sample repeated measures design in which participants are measured at baseline (A), after an intervention (B), and again after the intervention has been removed (A).

Between Groups: A design in which researchers compare the scores of two or more groups. Between-group designs can be used as either a single or repeated measure.

Matched Sample: A specific between-groups design in which researchers match participants across groups based on criteria determined by the researchers (e.g., age, IQ, gender, etc.). After matching participants based on the predetermined criteria, researchers examine differences between matched pairs (not between group means).

Browse More on PhDStudent

Everything You Need to Know About References and Citations: Part 1

When you conduct your research, it is important to record the details of all the information you find to provide accurate references, …

How to Write a Proposal: For a Master’s Thesis or Dissertation

Note: Many thanks to fellow PhDStudent blogger Ryan Krone for his contributions and insight to this post. Your thesis/dissertation proposal provides an …

How to Find Free Money for Graduate School Part 2

Getting into graduate school is already a challenge on its own, and funding the program once admitted is even harder. Graduate studies …

How to Find Free Money for Graduate School

You’ve finally earned your Bachelor’s degree and have made it into graduate school. Whether you already have massive student loans from undergrad …

Part 3 of How to Pick Your Defense Committee

  What strategies can a doctoral student employ to maneuver the trials and tribulations of a dissertation committee? In Part 2, we …

Best Dissertation Proofreading and Editing Tips to Make Your Work Spotless

You’ve heard this statement many times before: “the dissertation is the most important project you’ve ever worked on.” That may sound like …

Part 2 of How to Pick Your Defense Committee

Choosing a committee can be a daunting task for a doctoral student.  We’ve already covered two strategies that can help you through this …

Part 1 of How to Pick Your Defense Committee

So you’re ready to pick your committee members; there are a few things to keep in mind first—after all, it is a …

Intro To Series on How to Pick Your Defense Committee

Choosing the right defense committee can potentially be the difference between a smooth transition of receiving your doctoral degree or dodging bullets …

On Babies and Dissertations: Part 3

I recently had the experience of expecting my first baby a month before I graduated. Throughout the process, I accidentally learned several …

On Babies and Dissertations: Part 2

On Babies and Dissertations: Part 1

I recently had the experience of expecting my first baby a month before I graduated and accidentally learned tips on graduating on time with a …

Click here to cancel reply.

You must be logged in to post a comment.

Copyright © 2024 PhDStudent.com. All rights reserved. Designed by Divergent Web Solutions, LLC .

• Research Process
• Manuscript Preparation
• Manuscript Review
• Publication Process
• Publication Recognition
• Language Editing Services
• Translation Services

Know How to Structure Your PhD Thesis

• 4 minute read
• 40.9K views

Table of Contents

In your academic career, few projects are more important than your PhD thesis. Unfortunately, many university professors and advisors assume that their students know how to structure a PhD. Books have literally been written on the subject, but there’s no need to read a book in order to know about PhD thesis paper format and structure. With that said, however, it’s important to understand that your PhD thesis format requirement may not be the same as another student’s. The bottom line is that how to structure a PhD thesis often depends on your university and department guidelines.

But, let’s take a look at a general PhD thesis format. We’ll look at the main sections, and how to connect them to each other. We’ll also examine different hints and tips for each of the sections. As you read through this toolkit, compare it to published PhD theses in your area of study to see how a real-life example looks.

Main Sections of a PhD Thesis

In almost every PhD thesis or dissertation, there are standard sections. Of course, some of these may differ, depending on your university or department requirements, as well as your topic of study, but this will give you a good idea of the basic components of a PhD thesis format.

• Abstract : The abstract is a brief summary that quickly outlines your research, touches on each of the main sections of your thesis, and clearly outlines your contribution to the field by way of your PhD thesis. Even though the abstract is very short, similar to what you’ve seen in published research articles, its impact shouldn’t be underestimated. The abstract is there to answer the most important question to the reviewer. “Why is this important?”
• Introduction : In this section, you help the reviewer understand your entire dissertation, including what your paper is about, why it’s important to the field, a brief description of your methodology, and how your research and the thesis are laid out. Think of your introduction as an expansion of your abstract.
• Literature Review : Within the literature review, you are making a case for your new research by telling the story of the work that’s already been done. You’ll cover a bit about the history of the topic at hand, and how your study fits into the present and future.
• Theory Framework : Here, you explain assumptions related to your study. Here you’re explaining to the review what theoretical concepts you might have used in your research, how it relates to existing knowledge and ideas.
• Methods : This section of a PhD thesis is typically the most detailed and descriptive, depending of course on your research design. Here you’ll discuss the specific techniques you used to get the information you were looking for, in addition to how those methods are relevant and appropriate, as well as how you specifically used each method described.
• Results : Here you present your empirical findings. This section is sometimes also called the “empiracles” chapter. This section is usually pretty straightforward and technical, and full of details. Don’t shortcut this chapter.
• Discussion : This can be a tricky chapter, because it’s where you want to show the reviewer that you know what you’re talking about. You need to speak as a PhD versus a student. The discussion chapter is similar to the empirical/results chapter, but you’re building on those results to push the new information that you learned, prior to making your conclusion.
• Conclusion : Here, you take a step back and reflect on what your original goals and intentions for the research were. You’ll outline them in context of your new findings and expertise.

Tips for your PhD Thesis Format

As you put together your PhD thesis, it’s easy to get a little overwhelmed. Here are some tips that might keep you on track.

• Don’t try to write your PhD as a first-draft. Every great masterwork has typically been edited, and edited, and…edited.
• Work with your thesis supervisor to plan the structure and format of your PhD thesis. Be prepared to rewrite each section, as you work out rough drafts. Don’t get discouraged by this process. It’s typical.
• Make your writing interesting. Academic writing has a reputation of being very dry.
• You don’t have to necessarily work on the chapters and sections outlined above in chronological order. Work on each section as things come up, and while your work on that section is relevant to what you’re doing.
• Don’t rush things. Write a first draft, and leave it for a few days, so you can come back to it with a more critical take. Look at it objectively and carefully grammatical errors, clarity, logic and flow.
• Know what style your references need to be in, and utilize tools out there to organize them in the required format.
• It’s easier to accidentally plagiarize than you think. Make sure you’re referencing appropriately, and check your document for inadvertent plagiarism throughout your writing process.

PhD Thesis Editing Plus

Want some support during your PhD writing process? Our PhD Thesis Editing Plus service includes extensive and detailed editing of your thesis to improve the flow and quality of your writing. Unlimited editing support for guaranteed results. Learn more here , and get started today!

Journal Acceptance Rates: Everything You Need to Know

How to Make a PowerPoint Presentation of Your Research Paper

You may also like.

Submission 101: What format should be used for academic papers?

Page-Turner Articles are More Than Just Good Arguments: Be Mindful of Tone and Structure!

A Must-see for Researchers! How to Ensure Inclusivity in Your Scientific Writing

Make Hook, Line, and Sinker: The Art of Crafting Engaging Introductions

Can Describing Study Limitations Improve the Quality of Your Paper?

A Guide to Crafting Shorter, Impactful Sentences in Academic Writing

6 Steps to Write an Excellent Discussion in Your Manuscript

How to Write Clear and Crisp Civil Engineering Papers? Here are 5 Key Tips to Consider

Input your search keywords and press Enter.

• Section 2: Home
• Developing the Quantitative Research Design
• Qualitative Descriptive Design
• Design and Development Research (DDR) For Instructional Design
• Qualitative Narrative Inquiry Research
• Action Research Resource
• Case Study Design in an Applied Doctorate

Qualitative Research Designs

Case study design, using case study design in the applied doctoral experience (ade), applicability of case study design to applied problem of practice, case study design references.

• SAGE Research Methods
• Research Examples (SAGE) This link opens in a new window
• Dataset Examples (SAGE) This link opens in a new window
• IRB Resource Center This link opens in a new window

The field of qualitative research there are a number of research designs (also referred to as “traditions” or “genres”), including case study, phenomenology, narrative inquiry, action research, ethnography, grounded theory, as well as a number of critical genres including Feminist theory, indigenous research, critical race theory and cultural studies. The choice of research design is directly tied to and must be aligned with your research problem and purpose. As Bloomberg & Volpe (2019) explain:

Choice of research design is directly tied to research problem and purpose. As the researcher, you actively create the link among problem, purpose, and design through a process of reflecting on problem and purpose, focusing on researchable questions, and considering how to best address these questions. Thinking along these lines affords a research study methodological congruence (p. 38).

Case study is an in-depth exploration from multiple perspectives of a bounded social phenomenon, be this a social system such as a program, event, institution, organization, or community (Stake, 1995, 2005; Yin, 2018). Case study is employed across disciplines, including education, health care, social work, sociology, and organizational studies. The purpose is to generate understanding and deep insights to inform professional practice, policy development, and community or social action (Bloomberg 2018).

Yin (2018) and Stake (1995, 2005), two of the key proponents of case study methodology, use different terms to describe case studies. Yin categorizes case studies as exploratory or descriptive . The former is used to explore those situations in which the intervention being evaluated has no clear single set of outcomes. The latter is used to describe an intervention or phenomenon and the real-life context in which it occurred. Stake identifies case studies as intrinsic or instrumental , and he proposes that a primary distinction in designing case studies is between single and multiple (or collective) case study designs. A single case study may be an instrumental case study (research focuses on an issue or concern in one bounded case) or an intrinsic case study (the focus is on the case itself because the case presents a unique situation). A longitudinal case study design is chosen when the researcher seeks to examine the same single case at two or more different points in time or to capture trends over time. A multiple case study design is used when a researcher seeks to determine the prevalence or frequency of a particular phenomenon. This approach is useful when cases are used for purposes of a cross-case analysis in order to compare, contrast, and synthesize perspectives regarding the same issue. The focus is on the analysis of diverse cases to determine how these confirm the findings within or between cases, or call the findings into question.

Case study affords significant interaction with research participants, providing an in-depth picture of the phenomenon (Bloomberg & Volpe, 2019). Research is extensive, drawing on multiple methods of data collection, and involves multiple data sources. Triangulation is critical in attempting to obtain an in-depth understanding of the phenomenon under study and adds rigor, breadth, and depth to the study and provides corroborative evidence of the data obtained. Analysis of data can be holistic or embedded—that is, dealing with the whole or parts of the case (Yin, 2018). With multiple cases the typical analytic strategy is to provide detailed description of themes within each case (within-case analysis), followed by thematic analysis across cases (cross-case analysis), providing insights regarding how individual cases are comparable along important dimensions. Research culminates in the production of a detailed description of a setting and its participants, accompanied by an analysis of the data for themes or patterns (Stake, 1995, 2005; Yin, 2018). In addition to thick, rich description, the researcher’s interpretations, conclusions, and recommendations contribute to the reader’s overall understanding of the case study.

Analysis of findings should show that the researcher has attended to all the data, should address the most significant aspects of the case, and should demonstrate familiarity with the prevailing thinking and discourse about the topic. The goal of case study design (as with all qualitative designs) is not generalizability but rather transferability —that is, how (if at all) and in what ways understanding and knowledge can be applied in similar contexts and settings. The qualitative researcher attempts to address the issue of transferability by way of thick, rich description that will provide the basis for a case or cases to have relevance and potential application across a broader context.

Qualitative research methods ask the questions of "what" and "how" a phenomenon is understood in a real-life context (Bloomberg & Volpe, 2019). In the education field, qualitative research methods uncover educational experiences and practices because qualitative research allows the researcher to reveal new knowledge and understanding. Moreover, qualitative descriptive case studies describe, analyze and interpret events that explain the reasoning behind specific phenomena (Bloomberg, 2018). As such, case study design can be the foundation for a rigorous study within the Applied Doctoral Experience (ADE).

Case study design is an appropriate research design to consider when conceptualizing and conducting a dissertation research study that is based on an applied problem of practice with inherent real-life educational implications. Case study researchers study current, real-life cases that are in progress so that they can gather accurate information that is current. This fits well with the ADE program, as students are typically exploring a problem of practice. Because of the flexibility of the methods used, a descriptive design provides the researcher with the opportunity to choose data collection methods that are best suited to a practice-based research purpose, and can include individual interviews, focus groups, observation, surveys, and critical incident questionnaires. Methods are triangulated to contribute to the study’s trustworthiness. In selecting the set of data collection methods, it is important that the researcher carefully consider the alignment between research questions and the type of data that is needed to address these. Each data source is one piece of the “puzzle,” that contributes to the researcher’s holistic understanding of a phenomenon. The various strands of data are woven together holistically to promote a deeper understanding of the case and its application to an educationally-based problem of practice.

Research studies within the Applied Doctoral Experience (ADE) will be practical in nature and focus on problems and issues that inform educational practice.  Many of the types of studies that fall within the ADE framework are exploratory, and align with case study design. Case study design fits very well with applied problems related to educational practice, as the following set of examples illustrate:

Elementary Bilingual Education Teachers’ Self-Efficacy in Teaching English Language Learners: A Qualitative Case Study

The problem to be addressed in the proposed study is that some elementary bilingual education teachers’ beliefs about their lack of preparedness to teach the English language may negatively impact the language proficiency skills of Hispanic ELLs (Ernst-Slavit & Wenger, 2016; Fuchs et al., 2018; Hoque, 2016). The purpose of the proposed qualitative descriptive case study was to explore the perspectives and experiences of elementary bilingual education teachers regarding their perceived lack of preparedness to teach the English language and how this may impact the language proficiency of Hispanic ELLs.

Exploring Minority Teachers Experiences Pertaining to their Value in Education: A Single Case Study of Teachers in New York City

The problem is that minority K-12 teachers are underrepresented in the United States, with research indicating that school leaders and teachers in schools that are populated mainly by black students, staffed mostly by white teachers who may be unprepared to deal with biases and stereotypes that are ingrained in schools (Egalite, Kisida, & Winters, 2015; Milligan & Howley, 2015). The purpose of this qualitative exploratory single case study was to develop a clearer understanding of minority teachers’ experiences concerning the under-representation of minority K-12 teachers in urban school districts in the United States since there are so few of them.

Exploring the Impact of an Urban Teacher Residency Program on Teachers’ Cultural Intelligence: A Qualitative Case Study

The problem to be addressed by this case study is that teacher candidates often report being unprepared and ill-equipped to effectively educate culturally diverse students (Skepple, 2015; Beutel, 2018). The purpose of this study was to explore and gain an in-depth understanding of the perceived impact of an urban teacher residency program in urban Iowa on teachers’ cultural competence using the cultural intelligence (CQ) framework (Earley & Ang, 2003).

Qualitative Case Study that Explores Self-Efficacy and Mentorship on Women in Academic Administrative Leadership Roles

The problem was that female school-level administrators might be less likely to experience mentorship, thereby potentially decreasing their self-efficacy (Bing & Smith, 2019; Brown, 2020; Grant, 2021). The purpose of this case study was to determine to what extent female school-level administrators in the United States who had a mentor have a sense of self-efficacy and to examine the relationship between mentorship and self-efficacy.

Suburban Teacher and Administrator Perceptions of Culturally Responsive Teaching to Promote Connectedness in Students of Color: A Qualitative Case Study

The problem to be addressed in this study is the racial discrimination experienced by students of color in suburban schools and the resulting negative school experience (Jara & Bloomsbury, 2020; Jones, 2019; Kohli et al., 2017; Wandix-White, 2020). The purpose of this case study is to explore how culturally responsive practices can counteract systemic racism and discrimination in suburban schools thereby meeting the needs of students of color by creating positive learning experiences. 

As you can see, all of these studies were well suited to qualitative case study design. In each of these studies, the applied research problem and research purpose were clearly grounded in educational practice as well as directly aligned with qualitative case study methodology. In the Applied Doctoral Experience (ADE), you will be focused on addressing or resolving an educationally relevant research problem of practice. As such, your case study, with clear boundaries, will be one that centers on a real-life authentic problem in your field of practice that you believe is in need of resolution or improvement, and that the outcome thereof will be educationally valuable.

Bloomberg, L. D. (2018). Case study method. In B. B. Frey (Ed.), The SAGE Encyclopedia of educational research, measurement, and evaluation (pp. 237–239). SAGE. https://go.openathens.net/redirector/nu.edu?url=https%3A%2F%2Fmethods.sagepub.com%2FReference%2Fthe-sage-encyclopedia-of-educational-research-measurement-and-evaluation%2Fi4294.xml

Bloomberg, L. D. & Volpe, M. (2019). Completing your qualitative dissertation: A road map from beginning to end . (4th Ed.). SAGE.

Stake, R. E. (1995). The art of case study research. SAGE.

Stake, R. E. (2005). Qualitative case studies. In N. K. Denzin and Y. S. Lincoln (Eds.), The SAGE handbook of qualitative research (3rd ed., pp. 443–466). SAGE.

Yin, R. (2018). Case study research and applications: Designs and methods. SAGE.

• << Previous: Action Research Resource
• Next: SAGE Research Methods >>
• Last Updated: Jul 28, 2023 8:05 AM
• URL: https://resources.nu.edu/c.php?g=1013605

© Copyright 2024 National University. All Rights Reserved.

Privacy Policy | Consumer Information

Have a language expert improve your writing

Run a free plagiarism check in 10 minutes, automatically generate references for free.

• Knowledge Base
• Methodology

Research Design | Step-by-Step Guide with Examples

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

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

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

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

Table of contents

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

• Introduction

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

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

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

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

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

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

Practical and ethical considerations when designing research

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

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

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

Prevent plagiarism, run a free check.

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

Types of quantitative research designs

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

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

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

Types of qualitative research designs

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

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

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

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

Defining the population

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

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

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

Sampling methods

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

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

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

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

Case selection in qualitative research

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

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

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

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

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

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

Survey methods

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

Observation methods

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

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

Other methods of data collection

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

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

Secondary data

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

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

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

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

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

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

Operationalisation

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

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

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

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

Reliability and validity

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

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

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

Sampling procedures

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

That means making decisions about things like:

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

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

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

Data management

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

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

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

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

Quantitative data analysis

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

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

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

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

Using inferential statistics , you can:

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

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

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

Qualitative data analysis

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

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

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

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

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

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

Operationalisation means turning abstract conceptual ideas into measurable observations.

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

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

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

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

Cite this Scribbr article

If you want to cite this source, you can copy and paste the citation or click the ‘Cite this Scribbr article’ button to automatically add the citation to our free Reference Generator.

McCombes, S. (2023, March 20). Research Design | Step-by-Step Guide with Examples. Scribbr. Retrieved 21 August 2024, from https://www.scribbr.co.uk/research-methods/research-design/

Is this article helpful?

Shona McCombes

How To Write A Research Proposal

A Straightforward How-To Guide (With Examples)

By: Derek Jansen (MBA) | Reviewed By: Dr. Eunice Rautenbach | August 2019 (Updated April 2023)

Writing up a strong research proposal for a dissertation or thesis is much like a marriage proposal. It’s a task that calls on you to win somebody over and persuade them that what you’re planning is a great idea. An idea they’re happy to say ‘yes’ to. This means that your dissertation proposal needs to be   persuasive ,   attractive   and well-planned. In this post, I’ll show you how to write a winning dissertation proposal, from scratch.

Before you start:

– Understand exactly what a research proposal is – Ask yourself these 4 questions

The 5 essential ingredients:

• The title/topic
• The introduction chapter
• The scope/delimitations
• Preliminary literature review
• Design/ methodology
• Practical considerations and risks 

What Is A Research Proposal?

The research proposal is literally that: a written document that communicates what you propose to research, in a concise format. It’s where you put all that stuff that’s spinning around in your head down on to paper, in a logical, convincing fashion.

Convincing   is the keyword here, as your research proposal needs to convince the assessor that your research is   clearly articulated   (i.e., a clear research question) ,   worth doing   (i.e., is unique and valuable enough to justify the effort), and   doable   within the restrictions you’ll face (time limits, budget, skill limits, etc.). If your proposal does not address these three criteria, your research won’t be approved, no matter how “exciting” the research idea might be.

PS – if you’re completely new to proposal writing, we’ve got a detailed walkthrough video covering two successful research proposals here . 

How do I know I’m ready?

Before starting the writing process, you need to   ask yourself 4 important questions .  If you can’t answer them succinctly and confidently, you’re not ready – you need to go back and think more deeply about your dissertation topic .

You should be able to answer the following 4 questions before starting your dissertation or thesis research proposal:

• WHAT is my main research question? (the topic)
• WHO cares and why is this important? (the justification)
• WHAT data would I need to answer this question, and how will I analyse it? (the research design)
• HOW will I manage the completion of this research, within the given timelines? (project and risk management)

If you can’t answer these questions clearly and concisely,   you’re not yet ready   to write your research proposal – revisit our   post on choosing a topic .

If you can, that’s great – it’s time to start writing up your dissertation proposal. Next, I’ll discuss what needs to go into your research proposal, and how to structure it all into an intuitive, convincing document with a linear narrative.

The 5 Essential Ingredients

Research proposals can vary in style between institutions and disciplines, but here I’ll share with you a   handy 5-section structure   you can use. These 5 sections directly address the core questions we spoke about earlier, ensuring that you present a convincing proposal. If your institution already provides a proposal template, there will likely be substantial overlap with this, so you’ll still get value from reading on.

For each section discussed below, make sure you use headers and sub-headers (ideally, numbered headers) to help the reader navigate through your document, and to support them when they need to revisit a previous section. Don’t just present an endless wall of text, paragraph after paragraph after paragraph…

Top Tip:   Use MS Word Styles to format headings. This will allow you to be clear about whether a sub-heading is level 2, 3, or 4. Additionally, you can view your document in ‘outline view’ which will show you only your headings. This makes it much easier to check your structure, shift things around and make decisions about where a section needs to sit. You can also generate a 100% accurate table of contents using Word’s automatic functionality.

Ingredient #1 – Topic/Title Header

Your research proposal’s title should be your main research question in its simplest form, possibly with a sub-heading providing basic details on the specifics of the study. For example:

“Compliance with equality legislation in the charity sector: a study of the ‘reasonable adjustments’ made in three London care homes”

As you can see, this title provides a clear indication of what the research is about, in broad terms. It paints a high-level picture for the first-time reader, which gives them a taste of what to expect.   Always aim for a clear, concise title . Don’t feel the need to capture every detail of your research in your title – your proposal will fill in the gaps.

Need a helping hand?

Ingredient #2 – Introduction

In this section of your research proposal, you’ll expand on what you’ve communicated in the title, by providing a few paragraphs which offer more detail about your research topic. Importantly, the focus here is the   topic   – what will you research and why is that worth researching? This is not the place to discuss methodology, practicalities, etc. – you’ll do that later.

You should cover the following:

• An overview of the   broad area   you’ll be researching – introduce the reader to key concepts and language
• An explanation of the   specific (narrower) area   you’ll be focusing, and why you’ll be focusing there
• Your research   aims   and   objectives
• Your   research question (s) and sub-questions (if applicable)

Importantly, you should aim to use short sentences and plain language – don’t babble on with extensive jargon, acronyms and complex language. Assume that the reader is an intelligent layman – not a subject area specialist (even if they are). Remember that the   best writing is writing that can be easily understood   and digested. Keep it simple.

Note that some universities may want some extra bits and pieces in your introduction section. For example, personal development objectives, a structural outline, etc. Check your brief to see if there are any other details they expect in your proposal, and make sure you find a place for these.

Ingredient #3 – Scope

Next, you’ll need to specify what the scope of your research will be – this is also known as the delimitations . In other words, you need to make it clear what you will be covering and, more importantly, what you won’t be covering in your research. Simply put, this is about ring fencing your research topic so that you have a laser-sharp focus.

All too often, students feel the need to go broad and try to address as many issues as possible, in the interest of producing comprehensive research. Whilst this is admirable, it’s a mistake. By tightly refining your scope, you’ll enable yourself to   go deep   with your research, which is what you need to earn good marks. If your scope is too broad, you’re likely going to land up with superficial research (which won’t earn marks), so don’t be afraid to narrow things down.

Ingredient #4 – Literature Review

In this section of your research proposal, you need to provide a (relatively) brief discussion of the existing literature. Naturally, this will not be as comprehensive as the literature review in your actual dissertation, but it will lay the foundation for that. In fact, if you put in the effort at this stage, you’ll make your life a lot easier when it’s time to write your actual literature review chapter.

There are a few things you need to achieve in this section:

• Demonstrate that you’ve done your reading and are   familiar with the current state of the research   in your topic area.
• Show that   there’s a clear gap   for your specific research – i.e., show that your topic is sufficiently unique and will add value to the existing research.
• Show how the existing research has shaped your thinking regarding   research design . For example, you might use scales or questionnaires from previous studies.

When you write up your literature review, keep these three objectives front of mind, especially number two (revealing the gap in the literature), so that your literature review has a   clear purpose and direction . Everything you write should be contributing towards one (or more) of these objectives in some way. If it doesn’t, you need to ask yourself whether it’s truly needed.

Top Tip:  Don’t fall into the trap of just describing the main pieces of literature, for example, “A says this, B says that, C also says that…” and so on. Merely describing the literature provides no value. Instead, you need to   synthesise   it, and use it to address the three objectives above.

Ingredient #5 – Research Methodology

Now that you’ve clearly explained both your intended research topic (in the introduction) and the existing research it will draw on (in the literature review section), it’s time to get practical and explain exactly how you’ll be carrying out your own research. In other words, your research methodology.

In this section, you’ll need to   answer two critical questions :

• How   will you design your research? I.e., what research methodology will you adopt, what will your sample be, how will you collect data, etc.
• Why   have you chosen this design? I.e., why does this approach suit your specific research aims, objectives and questions?

In other words, this is not just about explaining WHAT you’ll be doing, it’s also about explaining WHY. In fact, the   justification is the most important part , because that justification is how you demonstrate a good understanding of research design (which is what assessors want to see).

Some essential design choices you need to cover in your research proposal include:

• Your intended research philosophy (e.g., positivism, interpretivism or pragmatism )
• What methodological approach you’ll be taking (e.g., qualitative , quantitative or mixed )
• The details of your sample (e.g., sample size, who they are, who they represent, etc.)
• What data you plan to collect (i.e. data about what, in what form?)
• How you plan to collect it (e.g., surveys , interviews , focus groups, etc.)
• How you plan to analyse it (e.g., regression analysis, thematic analysis , etc.)
• Ethical adherence (i.e., does this research satisfy all ethical requirements of your institution, or does it need further approval?)

This list is not exhaustive – these are just some core attributes of research design. Check with your institution what level of detail they expect. The “ research onion ” by Saunders et al (2009) provides a good summary of the various design choices you ultimately need to make – you can   read more about that here .

Don’t forget the practicalities…

In addition to the technical aspects, you will need to address the   practical   side of the project. In other words, you need to explain   what resources you’ll need   (e.g., time, money, access to equipment or software, etc.) and how you intend to secure these resources. You need to show that your project is feasible, so any “make or break” type resources need to already be secured. The success or failure of your project cannot depend on some resource which you’re not yet sure you have access to.

Another part of the practicalities discussion is   project and risk management . In other words, you need to show that you have a clear project plan to tackle your research with. Some key questions to address:

• What are the timelines for each phase of your project?
• Are the time allocations reasonable?
• What happens if something takes longer than anticipated (risk management)?
• What happens if you don’t get the response rate you expect?

A good way to demonstrate that you’ve thought this through is to include a Gantt chart and a risk register (in the appendix if word count is a problem). With these two tools, you can show that you’ve got a clear, feasible plan, and you’ve thought about and accounted for the potential risks.

Tip – Be honest about the potential difficulties – but show that you are anticipating solutions and workarounds. This is much more impressive to an assessor than an unrealistically optimistic proposal which does not anticipate any challenges whatsoever.

Final Touches: Read And Simplify

The final step is to edit and proofread your proposal – very carefully. It sounds obvious, but all too often poor editing and proofreading ruin a good proposal. Nothing is more off-putting for an assessor than a poorly edited, typo-strewn document. It sends the message that you either do not pay attention to detail, or just don’t care. Neither of these are good messages. Put the effort into editing and proofreading your proposal (or pay someone to do it for you) – it will pay dividends.

When you’re editing, watch out for ‘academese’. Many students can speak simply, passionately and clearly about their dissertation topic – but become incomprehensible the moment they turn the laptop on. You are not required to write in any kind of special, formal, complex language when you write academic work. Sure, there may be technical terms, jargon specific to your discipline, shorthand terms and so on. But, apart from those,   keep your written language very close to natural spoken language   – just as you would speak in the classroom. Imagine that you are explaining your project plans to your classmates or a family member. Remember, write for the intelligent layman, not the subject matter experts. Plain-language, concise writing is what wins hearts and minds – and marks!

Let’s Recap: Research Proposal 101

And there you have it – how to write your dissertation or thesis research proposal, from the title page to the final proof. Here’s a quick recap of the key takeaways:

• The purpose of the research proposal is to   convince   – therefore, you need to make a clear, concise argument of why your research is both worth doing and doable.
• Make sure you can ask the critical what, who, and how questions of your research   before   you put pen to paper.
• Title – provides the first taste of your research, in broad terms
• Introduction – explains what you’ll be researching in more detail
• Scope – explains the boundaries of your research
• Literature review – explains how your research fits into the existing research and why it’s unique and valuable
• Research methodology – explains and justifies how you will carry out your own research

Hopefully, this post has helped you better understand how to write up a winning research proposal. If you enjoyed it, be sure to check out the rest of the Grad Coach Blog . If your university doesn’t provide any template for your proposal, you might want to try out our free research proposal template .

Psst… there’s more!

This post is an extract from our bestselling short course, Research Proposal Bootcamp . If you want to work smart, you don't want to miss this .

30 Comments

Thank you so much for the valuable insight that you have given, especially on the research proposal. That is what I have managed to cover. I still need to go back to the other parts as I got disturbed while still listening to Derek’s audio on you-tube. I am inspired. I will definitely continue with Grad-coach guidance on You-tube.

Thanks for the kind words :). All the best with your proposal.

First of all, thanks a lot for making such a wonderful presentation. The video was really useful and gave me a very clear insight of how a research proposal has to be written. I shall try implementing these ideas in my RP.

Once again, I thank you for this content.

I found reading your outline on writing research proposal very beneficial. I wish there was a way of submitting my draft proposal to you guys for critiquing before I submit to the institution.

Hi Bonginkosi

Thank you for the kind words. Yes, we do provide a review service. The best starting point is to have a chat with one of our coaches here: https://gradcoach.com/book/new/ .

Hello team GRADCOACH, may God bless you so much. I was totally green in research. Am so happy for your free superb tutorials and resources. Once again thank you so much Derek and his team.

You’re welcome, Erick. Good luck with your research proposal 🙂

thank you for the information. its precise and on point.

Really a remarkable piece of writing and great source of guidance for the researchers. GOD BLESS YOU for your guidance. Regards

Thanks so much for your guidance. It is easy and comprehensive the way you explain the steps for a winning research proposal.

Thank you guys so much for the rich post. I enjoyed and learn from every word in it. My problem now is how to get into your platform wherein I can always seek help on things related to my research work ? Secondly, I wish to find out if there is a way I can send my tentative proposal to you guys for examination before I take to my supervisor Once again thanks very much for the insights

Thanks for your kind words, Desire.

If you are based in a country where Grad Coach’s paid services are available, you can book a consultation by clicking the “Book” button in the top right.

Best of luck with your studies.

May God bless you team for the wonderful work you are doing,

If I have a topic, Can I submit it to you so that you can draft a proposal for me?? As I am expecting to go for masters degree in the near future.

Thanks for your comment. We definitely cannot draft a proposal for you, as that would constitute academic misconduct. The proposal needs to be your own work. We can coach you through the process, but it needs to be your own work and your own writing.

Best of luck with your research!

I found a lot of many essential concepts from your material. it is real a road map to write a research proposal. so thanks a lot. If there is any update material on your hand on MBA please forward to me.

GradCoach is a professional website that presents support and helps for MBA student like me through the useful online information on the page and with my 1-on-1 online coaching with the amazing and professional PhD Kerryen.

Thank you Kerryen so much for the support and help 🙂

I really recommend dealing with such a reliable services provider like Gradcoah and a coach like Kerryen.

Hi, Am happy for your service and effort to help students and researchers, Please, i have been given an assignment on research for strategic development, the task one is to formulate a research proposal to support the strategic development of a business area, my issue here is how to go about it, especially the topic or title and introduction. Please, i would like to know if you could help me and how much is the charge.

This content is practical, valuable, and just great!

Thank you very much!

Hi Derek, Thank you for the valuable presentation. It is very helpful especially for beginners like me. I am just starting my PhD.

This is quite instructive and research proposal made simple. Can I have a research proposal template?

Great! Thanks for rescuing me, because I had no former knowledge in this topic. But with this piece of information, I am now secured. Thank you once more.

I enjoyed listening to your video on how to write a proposal. I think I will be able to write a winning proposal with your advice. I wish you were to be my supervisor.

Dear Derek Jansen,

Thank you for your great content. I couldn’t learn these topics in MBA, but now I learned from GradCoach. Really appreciate your efforts….

From Afghanistan!

I have got very essential inputs for startup of my dissertation proposal. Well organized properly communicated with video presentation. Thank you for the presentation.

Wow, this is absolutely amazing guys. Thank you so much for the fruitful presentation, you’ve made my research much easier.

this helps me a lot. thank you all so much for impacting in us. may god richly bless you all

How I wish I’d learn about Grad Coach earlier. I’ve been stumbling around writing and rewriting! Now I have concise clear directions on how to put this thing together. Thank you!

Fantastic!! Thank You for this very concise yet comprehensive guidance.

Even if I am poor in English I would like to thank you very much.

Thank you very much, this is very insightful.

Submit a Comment Cancel reply

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

• Print Friendly

How do I formulate the research design for my PhD thesis?

The research design must be done correctly otherwise the dissertation will not be successful. But how do I create a suitable research design for my topic? How can I even know that my approach is appropriate? How can I be sure that I will gain the right insight? Question after question. Here are the answers.

What is the research design anyway and why do I need it?

The research design is a detailed and systematic description of all steps needed to answer the research question. It shows your way of discovering new knowledge and consists of many elements. It helps to have the design handy when you start to organize your project. The more detailed the better and the more concrete your design, the easier it will be to implement.

What belongs in the research design?

• The research question, detailed questions and possibly hypotheses, the design of YOUR research model with relevant variables and factors
• Methods of data collection such as interviews, surveys, observations, documentations, measurements etc.,
• Decisions on the type of data, data sources and description of the samples,
• Tools for data collection such as interview guidelines or questionnaires etc.,
• Methods and tools for data evaluation such as statistical methods, content analysis etc.,
• Timetable for implementation.

When and how do I develop the appropriate research design?

You start with the design already in the proposal. This is your first draft. Prerequisites for the research design are the subject, research question and goal. They are your compass. You also need models on the topic for the classification of your variables and thus of the data. Here is an example: digitization in SMEs. How is digitization evolving inside SMEs? Operationalized research question: Which concepts do SMEs use when digitizing their business processes? You can create case studies and conduct an expert survey. You need models on SMEs, digitization and business processes. These models contain players, data, processes, activities, regulations, IT system and much more. Then you can collect data on the concrete concepts the SMEs studies used for digitization.

How do I check the research design for completeness and correctness?

Your design must meet 3 requirements:

• The methodology must definitely work and it must lead to an insight. A good test is whether the methods have already worked in other studies. Completely new methods are risky.
• The data must be obtainable, in quality and scope.
• The aids must be able to produce good results.

How do I test the research design?

• Simulate your research process. Are these the right detailed questions or sub questions?
• Do the answers to the detailed questions close the gap in research? Have I defined the correct data?
• Does this data match the objects in the detailed questions? Do I have the right data sources?
• Are there perhaps still better sources than the one I already found? Can the methods be used to evaluate the collected data?
• Has anyone ever described this in an article?
• How do I structure and describe the research design in the text?

Describe the research design in the text as a separate chapter in your dissertation.

To do so, you should answer about 20 questions. Here are the first so-called micro questions:

• What exactly is analyzed? Who or what is the focus of the analysis?
• What is the aim of the analysis? What insight will be gained?
• Which methods can be used for the analysis?
• What are the decision criteria for choosing a method?
• Why am I using a particular method?

Additional micro questions can be found in the 200 Days Dissertation Guide. Answer all these questions and your research design will be ready!

What sources do I need for the research design?

The best papers are those that have dealt with a related question. The methods are described there but are usually not comprehensive so you will also need method books. However, maybe an article is good but quite old. Don’t worry because methods are quite timeless. Papers on other issues are also interesting for the design if they have used certain suitable methods.

Method books are useful when it comes to the description. They are also more general and not just focused on one case.

How can I tell that my research design is "complete"?

The design is complete when the questions in the chapter ‘Research Design’ are answered and your supervisor knows the procedure and considers it useful. Actually this question is only finally answered when you have collected and evaluated all the data. Until then, minor changes in your research design are still necessary.

How do I work with the research design?

Just go for it! That's it! Let's go! Good luck writing your text!

Silvio and the Aristolo Team

PS: Check out the PhD Guide for writing a PhD in 200 days .

Methodologies in Doctoral Research in Design: The Role of Research Paradigms

• November 2020
• Conference: Back to the Future [icdhs 10th + 1 Conference]
• This person is not on ResearchGate, or hasn't claimed this research yet.

• University of Porto

• University of Aveiro

Abstract and Figures

Discover the world's research

• 25+ million members
• 160+ million publication pages
• 2.3+ billion citations
• Violeta Clemente

• Elisabeth Maria den Boogert
• Fleur van Aar
• Janneke C. M. Heijne
• DESIGN STUD

• Marie Boas Hall
• Thomas S. Kuhn
• Y.S. Lincoln
• Christopher Frayling

• Victor Margolin
• Nigel Cross
• NEGOTIATION J

• Recruit researchers
• Join for free
• Login Email Tip: Most researchers use their institutional email address as their ResearchGate login Password Forgot password? Keep me logged in Log in or Continue with Google Welcome back! Please log in. Email · Hint Tip: Most researchers use their institutional email address as their ResearchGate login Password Forgot password? Keep me logged in Log in or Continue with Google No account? Sign up

• Harvard Library
• Research Guides
• Harvard Graduate School of Design - Frances Loeb Library

Write and Cite

• Theses and Dissertations
• Academic Integrity
• Using Sources and AI
• Academic Writing
• From Research to Writing
• GSD Writing Services
• Grants and Fellowships
• Reading, Notetaking, and Time Management

What is a thesis?

What is a dissertation, getting started, staying on track.

A thesis is a long-term project that you work on over the course of a semester or a year. Theses have a very wide variety of styles and content, so we encourage you to look at prior examples and work closely with faculty to develop yours. 

Before you begin, make sure that you are familiar with the dissertation genre—what it is for and what it looks like.

Generally speaking, a dissertation’s purpose is to prove that you have the expertise necessary to fulfill your doctoral-degree requirements by showing depth of knowledge and independent thinking.

The form of a dissertation may vary by discipline. Be sure to follow the specific guidelines of your department.

• PhD This site directs candidates to the GSAS website about dissertations , with links to checklists,  planning, formatting, acknowledgments, submission, and publishing options. There is also a link to guidelines for the prospectus . Consult with your committee chair about specific requirements and standards for your dissertation.
• DDES This document covers planning, patent filing, submission guidelines, publishing options, formatting guidelines, sample pages, citation guidelines, and a list of common errors to avoid. There is also a link to guidelines for the prospectus .
• Scholarly Pursuits (GSAS) This searchable booklet from Harvard GSAS is a comprehensive guide to writing dissertations, dissertation-fellowship applications, academic journal articles, and academic job documents.

Finding an original topic can be a daunting and overwhelming task. These key concepts can help you focus and save time.

Finding a topic for your thesis or dissertation should start with a research question that excites or at least interests you. A rigorous, engaging, and original project will require continuous curiosity about your topic, about your own thoughts on the topic, and about what other scholars have said on your topic. Avoid getting boxed in by thinking you know what you want to say from the beginning; let your research and your writing evolve as you explore and fine-tune your focus through constant questioning and exploration.

Get a sense of the broader picture before you narrow your focus and attempt to frame an argument. Read, skim, and otherwise familiarize yourself with what other scholars have done in areas related to your proposed topic. Briefly explore topics tangentially related to yours to broaden your perspective and increase your chance of finding a unique angle to pursue.

Critical Reading

Critical reading is the opposite of passive reading. Instead of merely reading for information to absorb, critical reading also involves careful, sustained thinking about what you are reading. This process may include analyzing the author’s motives and assumptions, asking what might be left out of the discussion, considering what you agree with or disagree with in the author’s statements and why you agree or disagree, and exploring connections or contradictions between scholarly arguments. Here is a resource to help hone your critical-reading skills:

http://writing.umn.edu/sws/assets/pdf/quicktips/criticalread.pdf

Conversation

Your thesis or dissertation will incorporate some ideas from other scholars whose work you researched. By reading critically and following your curiosity, you will develop your own ideas and claims, and these contributions are the core of your project. You will also acknowledge the work of scholars who came before you, and you must accurately and fairly attribute this work and define your place within the larger discussion. Make sure that you know how to quote, summarize, paraphrase ,  integrate , and cite secondary sources to avoid plagiarism and to show the depth and breadth of your knowledge.

A thesis is a long-term, large project that involves both research and writing; it is easy to lose focus, motivation, and momentum. Here are suggestions for achieving the result you want in the time you have.

The dissertation is probably the largest project you have undertaken, and a lot of the work is self-directed. The project can feel daunting or even overwhelming unless you break it down into manageable pieces and create a timeline for completing each smaller task. Be realistic but also challenge yourself, and be forgiving of yourself if you miss a self-imposed deadline here and there.

Your program will also have specific deadlines for different requirements, including establishing a committee, submitting a prospectus, completing the dissertation, defending the dissertation, and submitting your work. Consult your department’s website for these dates and incorporate them into the timeline for your work.

Accountability

Sometimes self-imposed deadlines do not feel urgent unless there is accountability to someone beyond yourself. To increase your motivation to complete tasks on schedule, set dates with your committee chair to submit pre-determined pieces of a chapter. You can also arrange with a fellow doctoral student to check on each other’s progress. Research and writing can be lonely, so it is also nice to share that journey with someone and support each other through the process.

Common Pitfalls

The most common challenges for students writing a dissertation are writer’s block, information-overload, and the compulsion to keep researching forever.

There are many strategies for avoiding writer’s block, such as freewriting, outlining, taking a walk, starting in the middle, and creating an ideal work environment for your particular learning style. Pay attention to what helps you and try different things until you find what works.

Efficient researching techniques are essential to avoiding information-overload. Here are a couple of resources about strategies for finding sources and quickly obtaining essential information from them.

https://owl.purdue.edu/owl/subject_specific_writing/writing_in_literature/writing_in_literature_detailed_discussion/reading_criticism.html

https://students.dartmouth.edu/academic-skills/learning-resources/learning-strategies/reading-techniques

Finally, remember that there is always more to learn and your dissertation cannot incorporate everything. Follow your curiosity but also set limits on the scope of your work. It helps to create a folder entitled “future projects” for topics and sources that interest you but that do not fit neatly into the dissertation. Also remember that future scholars will build off of your work, so leave something for them to do.

Browsing through theses and dissertations of the past can help to get a sense of your options and gain inspiration but be careful to use current guidelines and refer to your committee instead of relying on these examples for form or formatting.

DASH Digital Access to Scholarship at Harvard.

HOLLIS Harvard Library’s catalog provides access to ProQuest Dissertations & Theses Global .

MIT Architecture has a list of their graduates’ dissertations and theses.

Rhode Island School of Design has a list of their graduates’ dissertations and theses.

University of South Florida has a list of their graduates’ dissertations and theses.

Harvard GSD has a list of projects, including theses and professors’ research.

• << Previous: Reading, Notetaking, and Time Management
• Next: Publishing >>
• Last Updated: Aug 20, 2024 4:05 PM
• URL: https://guides.library.harvard.edu/gsd/write

Harvard University Digital Accessibility Policy

How To Structure A PhD Thesis

Nov 21, 2019

Introduction

Universities and supervisors often assume that PhD students know how to structure their PhD theses. But often this assumption is false, which can cause considerable headache and uncertainty.  It can also waste a lot of time and money as you engage in a process of trial and error working out what goes where.

If you go to your university’s library, you’ll find whole shelves of   books on how to structure or write your PhD . Many of these are great, and I highly recommend you check them out, but here I want to present to you a thesis structure 101 lesson.

I’ve read those books,   proofread hundreds of PhDs   and   coached   dozens of students and want to take what I know and run you through a basic introduction to structuring your PhD   thesis .

In what follows, I’ll talk you through the basic outline of a typical thesis. This mirrors and expands upon the   PhD Writing Template   I’ve created. If you haven’t already downloaded it, you can find it   here .  

Now, I want to make an important observation: what I present below is an outline of the   typical   thesis. Yours may differ, whether considerably or just a little. That’s fine. The purpose is to give you an overarching summary so that when you do approach the books and guides that exist, you’ve already got a basic understanding of what goes where and why.

So, in what follows, I’ll walk you through each of the main sections and talk about what the purpose of each is, offer some tips for planning and writing them, and show you how they relate to one another.

At the end, I’ll tell you about an   email based course   I’ve put together that will teach you how to plan, structure and write your thesis. It goes into a lot more detail than I’ve presented here, so check it out if you’d like to learn more. 

How to Structure an Abstract

Your abstract should be a short summary at the beginning of the thesis that sums up the research, summarises the separate sections of the thesis and outlines the contribution.

Above all, your PhD abstract should answer the question: ‘So what?’ In other words, what is the contribution of your thesis to the field?

• What is the reason for writing the thesis?
• What are the current approaches and gaps in the literature?
• What are your research question(s) and aims?
• Which methodology have you used?
• What are the main findings?
• What are the main conclusions and implications?

One thing that should be obvious is that you can’t write your abstract until the study itself has been written. It’ll typically be the last thing you write (alongside the acknowledgements).

The tricky thing about writing a great PhD abstract is that you haven’t got much space to answer the six questions above. There are a few things to consider though that will help to elevate your writing and make your abstract as efficient as possible:

• Give a good first impression by writing in short clear sentences.
• Don’t repeat the title in the abstract.
• Don’t cite references.
• Use keywords from the document.
• Respect the word limit.
• Don’t be vague – the abstract should be a self-contained summary of the research, so don’t introduce ambiguous words or complex terms.
• Focus on just four or five essential points, concepts, or findings. Don’t, for example, try to explain your entire theoretical framework.
• Edit it carefully. Make sure every word is relevant (you haven’t got room for wasted words) and that each sentence has maximum impact.
• Avoid lengthy background information.
• Don’t mention anything that isn’t discussed in the thesis.
• Avoid overstatements.
• Don’t spin your findings, contribution or significance to make your research sound grander or more influential that it actually is.

How to Structure an Introduction

The introduction serves three purposes:

• Establish your territory.
• Establish and justify your niche.
• Explain the significance of your research.

The reader should be able to understand the whole thesis just by reading the introduction. It should tell them all they need to know about:

• What your thesis is about
• Why it is important
• How it was conducted
• How it is laid out

How to Structure a Literature Review

Imagine you’re making a new model of mobile phone. You’d need to look at old models to see how other people are designing them (and so you know how yours will differ) and to see how they are made. You’ll need to look for their flaws, and get an idea of where they can be improved.

That’s because you can’t make something new if you don’t know what the old one looks like.

The literature review is the same. You use it to make the case for your research by surveying the work that’s already been done in your discipline (and sometimes beyond). It’s a bit like a family tree. You use it to trace the lineage of your study. Putting it in its place.

A literature review has three objectives:

• Summarise what has already been discussed in your field, both to demonstrate that you understand your field and to show how your study relates to it.
• Highlight gaps, problems or shortcomings in existing research to show the original contribution that your thesis makes.
• Identify important studies, theories, methods or theoretical frameworks that can be applied in your research.
• Pick a broad topic
• Find the way in
• Who’s saying what and when
• Narrow down the field
• Narrow does the sources
• Think about questions that haven’t been asked
• Write early, write quickly and write relevantly

Your PhD Thesis. On one page.

Use our free PhD Structure Template to quickly visualise every element of your thesis.

How to Structure a Theory Framework Chapter

The theory framework is the scaffolding upon which your thesis is built. When you’re done writing your theory framework chapter or section, your reader should be able to answer these questions:

• What theoretical concepts are used in the research? What hypotheses, if any, are you using?
• Why have you chosen this theory?
• What are the implications of using this theory?
• How does the theory relate to the existing literature, your problem statement and your epistemological and ontological positions? How has this theory has been applied by others in similar contexts? What can you learn from them and how do you differ?
• How do you apply the theory and measure the concepts (with reference to the literature review/problem statement)?
• What is the relationship between the various elements and concepts within the model? Can you depict this visually?

That means that a theory framework can take different forms: 

It can state the theoretical assumptions underpinning the study.

• It can connect the empirical data to existing knowledge.
• It can allow you to come up with propositions, concepts or hypotheses that you can use to answer ‘how’ and ‘why’ questions.

Broadly speaking, a theory framework can be used to either derive certain testable assumptions or as a way of making sense of your data. In both cases, it structures your data collection by focusing your attention on a small subset of concepts.

You can, therefore, think of it as a toolbox. In your literature review, you outlined the problem that needs ‘fixing’. The theory framework is a toolbox stuffed full of concepts, variables, or hypotheses (your tools) that you’ll then use to address the problem and do the fixing.

You can find an   extended guide on creating your theory framework . Check it out if you’re still struggling.

When you discuss theory, you are seeking to provide a background examination of what other researchers think about a phenomenon and how they have conceptualised it. You should discuss the relevance of particular theoretical approaches for your study, and you should take care to consider the dominant theoretical schools in your field. This shows the examiner you have understood the state of the art.

But, you should do so critically, and question the suitability of any theories that exist or that you are creating to your particular study. That means that you should discuss previous applications of theory in order to discuss what implications they have for your own research.

The reason you do this is that your discipline likely has accepted and ’tried and tested’ ways of doing things. In many cases, this is an advantage, because it can serve as inspiration for your choice of concepts, hypotheses or variables, and can influence your choice of methods.

In other cases, it may be that the existing theory is ill-equipped to account for your particular phenomenon. In either case, you need to demonstrate a good understanding of what that theory is discussing, both to demonstrate your skills as a researcher and scholar, but also to justify your own theoretical and methodological position. 

How to Structure a Methods Chapter

The job of a methods chapter is:

• To summarise, explain and recount how you answered your research questions and to explain how this relates to the methods used by other scholars in similar contexts and similar studies
• To discuss – in detail – the techniques you used to collect the data used to answer your research questions 
• To discuss why the techniques are relevant to the study’s aims and objectives
• To explain how you used them

Your reader should be able to answer the following questions when they’re done reading it:

• What did you did do to achieve the research aims?
• Why did you choose this particular approach over others?
• How does it relate to your epistemological and ontological positions?
• What tools did you use to collect data and why? What are the implications?
• When did you collect data, and from whom?
• What tools have you used to analyze the data and why? What are the implications? Are there ethical considerations to take into account?

How to Structure an Empirical Chapter

• What are the results of your investigations?  
• How do the findings relate to previous studies?  
• Was there anything surprising or that didn’t work out as planned?  
• Are there any themes or categories that emerge from the data?   
• Have you explained to the reader why you have reached particular conclusions?
• Have you explained the results?

Having your PhD proofread will save you time and money

Our top-rated PhD proofreaders check your writing, formatting, references and readability. The goal? To make sure your research is written and presented in the most compelling manner possible. 

That way, you’ll have complete peace of mind prior to submission and save yourself months of costly revisions. 

How to Structure a Discussion Chapter 

The discussion chapter is the place in which you discuss your empirics. Many people find it the hardest chapter, primarily because it’s the stage at which you start to flex your academic muscles and speak like a doctor. It is here that you start to push the boundaries of knowledge.

That’s a hard thing to do, largely because you’ve probably never had to do it before. All through your masters and undergraduate work you’ve learnt what other people have found. Now you’re finding out things that no-one else knows.

The difference between a discussion and an empirical chapter is subtle, but I’ve written   a detailed guide   that will clear up any confusion you’ve got.

How to Structure a Conclusion

The job of the conclusion is to:

• Fully and clearly articulate the answer to your research questions
• Discuss how the research is related to your aims and objectives
• Explain the significance of the work
• Outline its shortcomings
• Suggest avenues for future research

It is not the place to introduce new ideas and concepts, or to present new findings.

Your job is to reflect back on your original aims and intentions and discuss them in terms of your findings and new expertise.

Three things to do in a conclusion:

• Own your research by speaking with authority! You’ve earned the right to do that by the time you reach your conclusion 
• See the thesis and not the detail. Drive home the contribution that the thesis has made. Whatever it is, you need to shout about it. Loudly. Like an expert.
• Each chapter is a piece of the puzzle and only when they are all slotted together do you have an entire thesis. That means that a great conclusion is one that shows that the thesis is bigger than the sum of its individual chapters. 
• By the time the reader has finished reading the conclusion, they should be able to answer the following questions:
• Have you briefly recapped the research questions and objectives?
• Have you provided a brief recount of the answer to those questions?
• Have you clearly discussed the significance and implications of those findings?
• Have you discussed the contribution that the study has made?
• Do the claims you are making align with the content of the results and discussion chapters?

Wrapping Up 

There’s clearly a lot more that can be said about how to structure each of these sections. Go to your university library and you’ll find dozens of books on how to write a PhD. Google it and you’ll find thousands of posts. It’s hard to know where to start.

That’s why  I’ve put together an  email based course on How To Write Your Thesis . Over twelve emails you’ll get detailed chapter guides that expand on the above, a ton of templates, checklist and worksheets, and lots of curated videos and external resources to really cement your learning. By the end, you’ll understand what goes where and why and would have saved yourself a bunch of time and energy sifting through all those books and posts.

That way, you can write more, worry less and graduate sooner.

To sign up,   click here . 

Hello, Doctor…

Sounds good, doesn’t it?  Be able to call yourself Doctor sooner with our five-star rated How to Write A PhD email-course. Learn everything your supervisor should have taught you about planning and completing a PhD.

Now half price. Join hundreds of other students and become a better thesis writer, or your money back. 

Share this:

26 comments.

This is seriously and absolutely helpful but some terminologies used may not be understood by most beginners in research methodology. Beginners would better understand the use of chapter1, etc. Thank you.

Thanks for the useful feedback. Enjoy the rest of your day.

Wonderful…. It is really practical to have such tips… Many thanks….

You’re welcome!

Well done Max, very informative post.

Great. Thanks for the kind words.

Cheers Max! Sent it on to many friends starting the journey

Great. Thanks Dean!

Hi Dr Lumpriere,

Thanks for creating this website, it is really helpful to situate oneself – I am really new to this. In your experience, how many hours does one (roughly. – of course depending on the scope of the project) have to dedicate to a PhD weekly on average?

Thanks again, Maureen

Hi Maureen – it really depends on so many factors, including how much familiarity you already have with research and how quickly you want to finish. It’s hard to say! I devoted around 3/4 of full time to mine per week – so roughly 30 hours. But then I had never conducted research before, didn’t have any caregiving responsibilities, and wanted to complete quickly.

Thanks a lot for dedicating your time and effort to helping those who are still struggling with writing up their PhD!

Best, Felix

You’re welcome Felix.

Good job. Thanks for the information here.

You’re welcome! Glad you found it useful.

This is great, I am impressed by the guideline. I shall consult these steps as I work on my Thesis for my PhD.

Thanks for this information keep it up.

Very interesting and useful job!

Well done Dr Max. Quite helpful, thanks

I am really grateful for this tip. God bless the writer in Jesus’ name

Thank you for this guide.

Thank you very much for the information. It’s very useful.

This article is insanely helpful. Especially the questions that should be answered in each part. Even though I was aware of most of it, seeing it all put together so neatly helps a lot. Thank you!

Wow. Such great praise. Thanks!

Submit a Comment Cancel reply

Your email address will not be published. Required fields are marked *

Search The PhD Knowledge Base

Most popular articles from the phd knowlege base.

The PhD Knowledge Base Categories

• Your PhD and Covid
• Mastering your theory and literature review chapters
• How to structure and write every chapter of the PhD
• How to stay motivated and productive
• Techniques to improve your writing and fluency
• Advice on maintaining good mental health
• Resources designed for non-native English speakers
• PhD Writing Template
• Explore our back-catalogue of motivational advice

Writing a Postgraduate or Doctoral Thesis: A Step-by-Step Approach

• First Online: 01 October 2023

Cite this chapter

• Usha Y. Nayak 4 ,
• Praveen Hoogar 5 ,
• Srinivas Mutalik 4 &
• N. Udupa 6  

1159 Accesses

1 Citations

A key characteristic looked after by postgraduate or doctoral students is how they communicate and defend their knowledge. Many candidates believe that there is insufficient instruction on constructing strong arguments. The thesis writing procedure must be meticulously followed to achieve outstanding results. It should be well organized, simple to read, and provide detailed explanations of the core research concepts. Each section in a thesis should be carefully written to make sure that it transitions logically from one to the next in a smooth way and is free of any unclear, cluttered, or redundant elements that make it difficult for the reader to understand what is being tried to convey. In this regard, students must acquire the information and skills to successfully create a strong and effective thesis. A step-by-step description of the thesis/dissertation writing process is provided in this chapter.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save.

• Get 10 units per month
• Download Article/Chapter or eBook
• 1 Unit = 1 Article or 1 Chapter
• Cancel anytime
• Available as PDF
• Read on any device
• Instant download
• Own it forever
• Available as EPUB and PDF
• Durable hardcover edition
• Dispatched in 3 to 5 business days
• Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

What Is a Thesis?

The Process of Scientific Writing: Developing a Research Question, Conducting a Literature Review, and Creating an Outline

Persistent Myths About Dissertation Writing and One Proven Way of Breaking Free of Their Spell

Carter S, Guerin C, Aitchison C (2020) Doctoral writing: practices, processes and pleasures. Springer, Singapore. https://doi.org/10.1007/978-981-15-1808-9

Book   Google Scholar  

Odena O, Burgess H (2017) How doctoral students and graduates describe facilitating experiences and strategies for their thesis writing learning process: a qualitative approach. Stud High Educ 42:572–590. https://doi.org/10.1080/03075079.2015.1063598

Article   Google Scholar  

Stefan R (2022) How to write a good PhD thesis and survive the viva, pp 1–33. http://people.kmi.open.ac.uk/stefan/thesis-writing.pdf

Google Scholar  

Barrett D, Rodriguez A, Smith J (2021) Producing a successful PhD thesis. Evid Based Nurs 24:1–2. https://doi.org/10.1136/ebnurs-2020-103376

Article   PubMed   Google Scholar  

Murray R, Newton M (2009) Writing retreat as structured intervention: margin or mainstream? High Educ Res Dev 28:541–553. https://doi.org/10.1080/07294360903154126

Thompson P (2012) Thesis and dissertation writing. In: Paltridge B, Starfield S (eds) The handbook of english for specific purposes. John Wiley & Sons, Ltd, Hoboken, NJ, pp 283–299. https://doi.org/10.1002/9781118339855.ch15

Chapter   Google Scholar  

Faryadi Q (2018) PhD thesis writing process: a systematic approach—how to write your introduction. Creat Educ 09:2534–2545. https://doi.org/10.4236/ce.2018.915192

Faryadi Q (2019) PhD thesis writing process: a systematic approach—how to write your methodology, results and conclusion. Creat Educ 10:766–783. https://doi.org/10.4236/ce.2019.104057

Fisher CM, Colin M, Buglear J (2010) Researching and writing a dissertation: an essential guide for business students, 3rd edn. Financial Times/Prentice Hall, Harlow, pp 133–164

Ahmad HR (2016) How to write a doctoral thesis. Pak J Med Sci 32:270–273. https://doi.org/10.12669/pjms.322.10181

Article   CAS   PubMed   PubMed Central   Google Scholar  

Gosling P, Noordam LD (2011) Mastering your PhD, 2nd edn. Springer, Berlin, Heidelberg, pp 12–13. https://doi.org/10.1007/978-3-642-15847-6

Cunningham SJ (2004) How to write a thesis. J Orthod 31:144–148. https://doi.org/10.1179/146531204225020445

Article   CAS   PubMed   Google Scholar  

Azadeh F, Vaez R (2013) The accuracy of references in PhD theses: a case study. Health Info Libr J 30:232–240. https://doi.org/10.1111/hir.12026

Williams RB (2011) Citation systems in the biosciences: a history, classification and descriptive terminology. J Doc 67:995–1014. https://doi.org/10.1108/00220411111183564

Bahadoran Z, Mirmiran P, Kashfi K, Ghasemi A (2020) The principles of biomedical scientific writing: citation. Int J Endocrinol Metab 18:e102622. https://doi.org/10.5812/ijem.102622

Article   PubMed   PubMed Central   Google Scholar  

Yaseen NY, Salman HD (2013) Writing scientific thesis/dissertation in biology field: knowledge in reference style writing. Iraqi J Cancer Med Genet 6:5–12

Gorraiz J, Melero-Fuentes D, Gumpenberger C, Valderrama-Zurián J-C (2016) Availability of digital object identifiers (DOIs) in web of science and scopus. J Informet 10:98–109. https://doi.org/10.1016/j.joi.2015.11.008

Khedmatgozar HR, Alipour-Hafezi M, Hanafizadeh P (2015) Digital identifier systems: comparative evaluation. Iran J Inf Process Manag 30:529–552

Kaur S, Dhindsa KS (2017) Comparative study of citation and reference management tools: mendeley, zotero and read cube. In: Sheikh R, Mishra DKJS (eds) Proceeding of 2016 International conference on ICT in business industry & government (ICTBIG). Institute of Electrical and Electronics Engineers, Piscataway, NJ. https://doi.org/10.1109/ICTBIG.2016.7892715

Kratochvíl J (2017) Comparison of the accuracy of bibliographical references generated for medical citation styles by endnote, mendeley, refworks and zotero. J Acad Librariansh 43:57–66. https://doi.org/10.1016/j.acalib.2016.09.001

Zhang Y (2012) Comparison of select reference management tools. Med Ref Serv Q 31:45–60. https://doi.org/10.1080/02763869.2012.641841

Hupe M (2019) EndNote X9. J Electron Resour Med Libr 16:117–119. https://doi.org/10.1080/15424065.2019.1691963

Download references

Author information

Authors and affiliations.

Department of Pharmaceutics, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India

Usha Y. Nayak & Srinivas Mutalik

Centre for Bio Cultural Studies, Directorate of Research, Manipal Academy of Higher Education, Manipal, Karnataka, India

Praveen Hoogar

Shri Dharmasthala Manjunatheshwara University, Dharwad, Karnataka, India

You can also search for this author in PubMed   Google Scholar

Corresponding author

Correspondence to N. Udupa .

Editor information

Editors and affiliations.

Retired Senior Expert Pharmacologist at the Office of Cardiology, Hematology, Endocrinology, and Nephrology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA

Gowraganahalli Jagadeesh

Professor & Director, Research Training and Publications, The Office of Research and Development, Periyar Maniammai Institute of Science & Technology (Deemed to be University), Vallam, Tamil Nadu, India

Pitchai Balakumar

Division Cardiology & Nephrology, Office of Cardiology, Hematology, Endocrinology and Nephrology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA

Fortunato Senatore

Ethics declarations

No conflict of interest exists.

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this chapter

Nayak, U.Y., Hoogar, P., Mutalik, S., Udupa, N. (2023). Writing a Postgraduate or Doctoral Thesis: A Step-by-Step Approach. In: Jagadeesh, G., Balakumar, P., Senatore, F. (eds) The Quintessence of Basic and Clinical Research and Scientific Publishing. Springer, Singapore. https://doi.org/10.1007/978-981-99-1284-1_48

Download citation

DOI : https://doi.org/10.1007/978-981-99-1284-1_48

Published : 01 October 2023

Publisher Name : Springer, Singapore

Print ISBN : 978-981-99-1283-4

Online ISBN : 978-981-99-1284-1

eBook Packages : Biomedical and Life Sciences Biomedical and Life Sciences (R0)

Share this chapter

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

• Publish with us

Policies and ethics

• Find a journal
• Track your research

The value of integrating design processes in action in technology driven product development

Thesis type.

• Thesis (PhD)

Thesis note

Copyright statement, supervisors, usage metrics.

File(s) not publicly available

Linking social protection and resilience to climate change: a case study of the conditional cash transfer programme oportunidades in rural yucatan, mexico, ids item types, copyright holder, usage metrics.

Have a language expert improve your writing

Run a free plagiarism check in 10 minutes, generate accurate citations for free.

• Knowledge Base
• Starting the research process
• How to Write a Research Proposal | Examples & Templates

How to Write a Research Proposal | Examples & Templates

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

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

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

Introduction

Literature review.

• Research design

Reference list

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

Table of contents

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

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

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

Research proposal length

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

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

Download our research proposal template

Here's why students love Scribbr's proofreading services

Discover proofreading & editing

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

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

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

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

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

Your introduction should:

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

To guide your introduction , include information about:

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

Prevent plagiarism. Run a free check.

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

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

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

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

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

For example, your results might have implications for:

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

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

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

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

Download our research schedule template

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

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

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

To determine your budget, think about:

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

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

Methodology

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

 Statistics

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

Research bias

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

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

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

I will compare …

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

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

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

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

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

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

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

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

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

Cite this Scribbr article

If you want to cite this source, you can copy and paste the citation or click the “Cite this Scribbr article” button to automatically add the citation to our free Citation Generator.

McCombes, S. & George, T. (2023, November 21). How to Write a Research Proposal | Examples & Templates. Scribbr. Retrieved August 22, 2024, from https://www.scribbr.com/research-process/research-proposal/

Is this article helpful?

Shona McCombes

Other students also liked, how to write a problem statement | guide & examples, writing strong research questions | criteria & examples, how to write a literature review | guide, examples, & templates, what is your plagiarism score.