is phd thesis hard

How To Write A Dissertation Or Thesis

8 straightforward steps to craft an a-grade dissertation.

By: Derek Jansen (MBA) Expert Reviewed By: Dr Eunice Rautenbach | June 2020

Writing a dissertation or thesis is not a simple task. It takes time, energy and a lot of will power to get you across the finish line. It’s not easy – but it doesn’t necessarily need to be a painful process. If you understand the big-picture process of how to write a dissertation or thesis, your research journey will be a lot smoother.  

In this post, I’m going to outline the big-picture process of how to write a high-quality dissertation or thesis, without losing your mind along the way. If you’re just starting your research, this post is perfect for you. Alternatively, if you’ve already submitted your proposal, this article which covers how to structure a dissertation might be more helpful.

How To Write A Dissertation: 8 Steps

• Clearly understand what a dissertation (or thesis) is
• Find a unique and valuable research topic
• Craft a convincing research proposal
• Write up a strong introduction chapter
• Review the existing literature and compile a literature review
• Design a rigorous research strategy and undertake your own research
• Present the findings of your research
• Draw a conclusion and discuss the implications

Step 1: Understand exactly what a dissertation is

This probably sounds like a no-brainer, but all too often, students come to us for help with their research and the underlying issue is that they don’t fully understand what a dissertation (or thesis) actually is.

So, what is a dissertation?

At its simplest, a dissertation or thesis is a formal piece of research , reflecting the standard research process . But what is the standard research process, you ask? The research process involves 4 key steps:

• Ask a very specific, well-articulated question (s) (your research topic)
• See what other researchers have said about it (if they’ve already answered it)
• If they haven’t answered it adequately, undertake your own data collection and analysis in a scientifically rigorous fashion
• Answer your original question(s), based on your analysis findings

In short, the research process is simply about asking and answering questions in a systematic fashion . This probably sounds pretty obvious, but people often think they’ve done “research”, when in fact what they have done is:

• Started with a vague, poorly articulated question
• Not taken the time to see what research has already been done regarding the question
• Collected data and opinions that support their gut and undertaken a flimsy analysis
• Drawn a shaky conclusion, based on that analysis

If you want to see the perfect example of this in action, look out for the next Facebook post where someone claims they’ve done “research”… All too often, people consider reading a few blog posts to constitute research. Its no surprise then that what they end up with is an opinion piece, not research. Okay, okay – I’ll climb off my soapbox now.

The key takeaway here is that a dissertation (or thesis) is a formal piece of research, reflecting the research process. It’s not an opinion piece , nor a place to push your agenda or try to convince someone of your position. Writing a good dissertation involves asking a question and taking a systematic, rigorous approach to answering it.

If you understand this and are comfortable leaving your opinions or preconceived ideas at the door, you’re already off to a good start!

Step 2: Find a unique, valuable research topic

As we saw, the first step of the research process is to ask a specific, well-articulated question. In other words, you need to find a research topic that asks a specific question or set of questions (these are called research questions ). Sounds easy enough, right? All you’ve got to do is identify a question or two and you’ve got a winning research topic. Well, not quite…

A good dissertation or thesis topic has a few important attributes. Specifically, a solid research topic should be:

Let’s take a closer look at these:

Attribute #1: Clear

Your research topic needs to be crystal clear about what you’re planning to research, what you want to know, and within what context. There shouldn’t be any ambiguity or vagueness about what you’ll research.

Here’s an example of a clearly articulated research topic:

An analysis of consumer-based factors influencing organisational trust in British low-cost online equity brokerage firms.

As you can see in the example, its crystal clear what will be analysed (factors impacting organisational trust), amongst who (consumers) and in what context (British low-cost equity brokerage firms, based online).

Need a helping hand?

Attribute #2:   Unique

Your research should be asking a question(s) that hasn’t been asked before, or that hasn’t been asked in a specific context (for example, in a specific country or industry).

For example, sticking organisational trust topic above, it’s quite likely that organisational trust factors in the UK have been investigated before, but the context (online low-cost equity brokerages) could make this research unique. Therefore, the context makes this research original.

One caveat when using context as the basis for originality – you need to have a good reason to suspect that your findings in this context might be different from the existing research – otherwise, there’s no reason to warrant researching it.

Attribute #3: Important

Simply asking a unique or original question is not enough – the question needs to create value. In other words, successfully answering your research questions should provide some value to the field of research or the industry. You can’t research something just to satisfy your curiosity. It needs to make some form of contribution either to research or industry.

For example, researching the factors influencing consumer trust would create value by enabling businesses to tailor their operations and marketing to leverage factors that promote trust. In other words, it would have a clear benefit to industry.

So, how do you go about finding a unique and valuable research topic? We explain that in detail in this video post – How To Find A Research Topic . Yeah, we’ve got you covered 😊

Step 3: Write a convincing research proposal

Once you’ve pinned down a high-quality research topic, the next step is to convince your university to let you research it. No matter how awesome you think your topic is, it still needs to get the rubber stamp before you can move forward with your research. The research proposal is the tool you’ll use for this job.

So, what’s in a research proposal?

The main “job” of a research proposal is to convince your university, advisor or committee that your research topic is worthy of approval. But convince them of what? Well, this varies from university to university, but generally, they want to see that:

• You have a clearly articulated, unique and important topic (this might sound familiar…)
• You’ve done some initial reading of the existing literature relevant to your topic (i.e. a literature review)
• You have a provisional plan in terms of how you will collect data and analyse it (i.e. a methodology)

At the proposal stage, it’s (generally) not expected that you’ve extensively reviewed the existing literature , but you will need to show that you’ve done enough reading to identify a clear gap for original (unique) research. Similarly, they generally don’t expect that you have a rock-solid research methodology mapped out, but you should have an idea of whether you’ll be undertaking qualitative or quantitative analysis , and how you’ll collect your data (we’ll discuss this in more detail later).

Long story short – don’t stress about having every detail of your research meticulously thought out at the proposal stage – this will develop as you progress through your research. However, you do need to show that you’ve “done your homework” and that your research is worthy of approval .

So, how do you go about crafting a high-quality, convincing proposal? We cover that in detail in this video post – How To Write A Top-Class Research Proposal . We’ve also got a video walkthrough of two proposal examples here .

Step 4: Craft a strong introduction chapter

Once your proposal’s been approved, its time to get writing your actual dissertation or thesis! The good news is that if you put the time into crafting a high-quality proposal, you’ve already got a head start on your first three chapters – introduction, literature review and methodology – as you can use your proposal as the basis for these.

Handy sidenote – our free dissertation & thesis template is a great way to speed up your dissertation writing journey.

What’s the introduction chapter all about?

The purpose of the introduction chapter is to set the scene for your research (dare I say, to introduce it…) so that the reader understands what you’ll be researching and why it’s important. In other words, it covers the same ground as the research proposal in that it justifies your research topic.

What goes into the introduction chapter?

This can vary slightly between universities and degrees, but generally, the introduction chapter will include the following:

• A brief background to the study, explaining the overall area of research
• A problem statement , explaining what the problem is with the current state of research (in other words, where the knowledge gap exists)
• Your research questions – in other words, the specific questions your study will seek to answer (based on the knowledge gap)
• The significance of your study – in other words, why it’s important and how its findings will be useful in the world

As you can see, this all about explaining the “what” and the “why” of your research (as opposed to the “how”). So, your introduction chapter is basically the salesman of your study, “selling” your research to the first-time reader and (hopefully) getting them interested to read more.

How do I write the introduction chapter, you ask? We cover that in detail in this post .

Step 5: Undertake an in-depth literature review

As I mentioned earlier, you’ll need to do some initial review of the literature in Steps 2 and 3 to find your research gap and craft a convincing research proposal – but that’s just scratching the surface. Once you reach the literature review stage of your dissertation or thesis, you need to dig a lot deeper into the existing research and write up a comprehensive literature review chapter.

What’s the literature review all about?

There are two main stages in the literature review process:

Literature Review Step 1: Reading up

The first stage is for you to deep dive into the existing literature (journal articles, textbook chapters, industry reports, etc) to gain an in-depth understanding of the current state of research regarding your topic. While you don’t need to read every single article, you do need to ensure that you cover all literature that is related to your core research questions, and create a comprehensive catalogue of that literature , which you’ll use in the next step.

Reading and digesting all the relevant literature is a time consuming and intellectually demanding process. Many students underestimate just how much work goes into this step, so make sure that you allocate a good amount of time for this when planning out your research. Thankfully, there are ways to fast track the process – be sure to check out this article covering how to read journal articles quickly .

Literature Review Step 2: Writing up

Once you’ve worked through the literature and digested it all, you’ll need to write up your literature review chapter. Many students make the mistake of thinking that the literature review chapter is simply a summary of what other researchers have said. While this is partly true, a literature review is much more than just a summary. To pull off a good literature review chapter, you’ll need to achieve at least 3 things:

• You need to synthesise the existing research , not just summarise it. In other words, you need to show how different pieces of theory fit together, what’s agreed on by researchers, what’s not.
• You need to highlight a research gap that your research is going to fill. In other words, you’ve got to outline the problem so that your research topic can provide a solution.
• You need to use the existing research to inform your methodology and approach to your own research design. For example, you might use questions or Likert scales from previous studies in your your own survey design .

As you can see, a good literature review is more than just a summary of the published research. It’s the foundation on which your own research is built, so it deserves a lot of love and attention. Take the time to craft a comprehensive literature review with a suitable structure .

But, how do I actually write the literature review chapter, you ask? We cover that in detail in this video post .

Step 6: Carry out your own research

Once you’ve completed your literature review and have a sound understanding of the existing research, its time to develop your own research (finally!). You’ll design this research specifically so that you can find the answers to your unique research question.

There are two steps here – designing your research strategy and executing on it:

1 – Design your research strategy

The first step is to design your research strategy and craft a methodology chapter . I won’t get into the technicalities of the methodology chapter here, but in simple terms, this chapter is about explaining the “how” of your research. If you recall, the introduction and literature review chapters discussed the “what” and the “why”, so it makes sense that the next point to cover is the “how” –that’s what the methodology chapter is all about.

In this section, you’ll need to make firm decisions about your research design. This includes things like:

• Your research philosophy (e.g. positivism or interpretivism )
• Your overall methodology (e.g. qualitative , quantitative or mixed methods)
• Your data collection strategy (e.g. interviews , focus groups, surveys)
• Your data analysis strategy (e.g. content analysis , correlation analysis, regression)

If these words have got your head spinning, don’t worry! We’ll explain these in plain language in other posts. It’s not essential that you understand the intricacies of research design (yet!). The key takeaway here is that you’ll need to make decisions about how you’ll design your own research, and you’ll need to describe (and justify) your decisions in your methodology chapter.

2 – Execute: Collect and analyse your data

Once you’ve worked out your research design, you’ll put it into action and start collecting your data. This might mean undertaking interviews, hosting an online survey or any other data collection method. Data collection can take quite a bit of time (especially if you host in-person interviews), so be sure to factor sufficient time into your project plan for this. Oftentimes, things don’t go 100% to plan (for example, you don’t get as many survey responses as you hoped for), so bake a little extra time into your budget here.

Once you’ve collected your data, you’ll need to do some data preparation before you can sink your teeth into the analysis. For example:

• If you carry out interviews or focus groups, you’ll need to transcribe your audio data to text (i.e. a Word document).
• If you collect quantitative survey data, you’ll need to clean up your data and get it into the right format for whichever analysis software you use (for example, SPSS, R or STATA).

Once you’ve completed your data prep, you’ll undertake your analysis, using the techniques that you described in your methodology. Depending on what you find in your analysis, you might also do some additional forms of analysis that you hadn’t planned for. For example, you might see something in the data that raises new questions or that requires clarification with further analysis.

The type(s) of analysis that you’ll use depend entirely on the nature of your research and your research questions. For example:

• If your research if exploratory in nature, you’ll often use qualitative analysis techniques .
• If your research is confirmatory in nature, you’ll often use quantitative analysis techniques
• If your research involves a mix of both, you might use a mixed methods approach

Again, if these words have got your head spinning, don’t worry! We’ll explain these concepts and techniques in other posts. The key takeaway is simply that there’s no “one size fits all” for research design and methodology – it all depends on your topic, your research questions and your data. So, don’t be surprised if your study colleagues take a completely different approach to yours.

Step 7: Present your findings

Once you’ve completed your analysis, it’s time to present your findings (finally!). In a dissertation or thesis, you’ll typically present your findings in two chapters – the results chapter and the discussion chapter .

What’s the difference between the results chapter and the discussion chapter?

While these two chapters are similar, the results chapter generally just presents the processed data neatly and clearly without interpretation, while the discussion chapter explains the story the data are telling  – in other words, it provides your interpretation of the results.

For example, if you were researching the factors that influence consumer trust, you might have used a quantitative approach to identify the relationship between potential factors (e.g. perceived integrity and competence of the organisation) and consumer trust. In this case:

• Your results chapter would just present the results of the statistical tests. For example, correlation results or differences between groups. In other words, the processed numbers.
• Your discussion chapter would explain what the numbers mean in relation to your research question(s). For example, Factor 1 has a weak relationship with consumer trust, while Factor 2 has a strong relationship.

Depending on the university and degree, these two chapters (results and discussion) are sometimes merged into one , so be sure to check with your institution what their preference is. Regardless of the chapter structure, this section is about presenting the findings of your research in a clear, easy to understand fashion.

Importantly, your discussion here needs to link back to your research questions (which you outlined in the introduction or literature review chapter). In other words, it needs to answer the key questions you asked (or at least attempt to answer them).

For example, if we look at the sample research topic:

In this case, the discussion section would clearly outline which factors seem to have a noteworthy influence on organisational trust. By doing so, they are answering the overarching question and fulfilling the purpose of the research .

For more information about the results chapter , check out this post for qualitative studies and this post for quantitative studies .

Step 8: The Final Step Draw a conclusion and discuss the implications

Last but not least, you’ll need to wrap up your research with the conclusion chapter . In this chapter, you’ll bring your research full circle by highlighting the key findings of your study and explaining what the implications of these findings are.

What exactly are key findings? The key findings are those findings which directly relate to your original research questions and overall research objectives (which you discussed in your introduction chapter). The implications, on the other hand, explain what your findings mean for industry, or for research in your area.

Sticking with the consumer trust topic example, the conclusion might look something like this:

Key findings

This study set out to identify which factors influence consumer-based trust in British low-cost online equity brokerage firms. The results suggest that the following factors have a large impact on consumer trust:

While the following factors have a very limited impact on consumer trust:

Notably, within the 25-30 age groups, Factors E had a noticeably larger impact, which may be explained by…

Implications

The findings having noteworthy implications for British low-cost online equity brokers. Specifically:

The large impact of Factors X and Y implies that brokers need to consider….

The limited impact of Factor E implies that brokers need to…

As you can see, the conclusion chapter is basically explaining the “what” (what your study found) and the “so what?” (what the findings mean for the industry or research). This brings the study full circle and closes off the document.

Let’s recap – how to write a dissertation or thesis

You’re still with me? Impressive! I know that this post was a long one, but hopefully you’ve learnt a thing or two about how to write a dissertation or thesis, and are now better equipped to start your own research.

To recap, the 8 steps to writing a quality dissertation (or thesis) are as follows:

• Understand what a dissertation (or thesis) is – a research project that follows the research process.
• Find a unique (original) and important research topic
• Craft a convincing dissertation or thesis research proposal
• Write a clear, compelling introduction chapter
• Undertake a thorough review of the existing research and write up a literature review
• Undertake your own research
• Present and interpret your findings

Once you’ve wrapped up the core chapters, all that’s typically left is the abstract , reference list and appendices. As always, be sure to check with your university if they have any additional requirements in terms of structure or content.  

Psst... there’s more!

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

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20 Comments

thankfull >>>this is very useful

Thank you, it was really helpful

unquestionably, this amazing simplified way of teaching. Really , I couldn’t find in the literature words that fully explicit my great thanks to you. However, I could only say thanks a-lot.

Great to hear that – thanks for the feedback. Good luck writing your dissertation/thesis.

This is the most comprehensive explanation of how to write a dissertation. Many thanks for sharing it free of charge.

Very rich presentation. Thank you

Thanks Derek Jansen|GRADCOACH, I find it very useful guide to arrange my activities and proceed to research!

Thank you so much for such a marvelous teaching .I am so convinced that am going to write a comprehensive and a distinct masters dissertation

It is an amazing comprehensive explanation

This was straightforward. Thank you!

I can say that your explanations are simple and enlightening – understanding what you have done here is easy for me. Could you write more about the different types of research methods specific to the three methodologies: quan, qual and MM. I look forward to interacting with this website more in the future.

Thanks for the feedback and suggestions 🙂

Hello, your write ups is quite educative. However, l have challenges in going about my research questions which is below; *Building the enablers of organisational growth through effective governance and purposeful leadership.*

Very educating.

Just listening to the name of the dissertation makes the student nervous. As writing a top-quality dissertation is a difficult task as it is a lengthy topic, requires a lot of research and understanding and is usually around 10,000 to 15000 words. Sometimes due to studies, unbalanced workload or lack of research and writing skill students look for dissertation submission from professional writers.

Thank you 💕😊 very much. I was confused but your comprehensive explanation has cleared my doubts of ever presenting a good thesis. Thank you.

thank you so much, that was so useful

Hi. Where is the excel spread sheet ark?

could you please help me look at your thesis paper to enable me to do the portion that has to do with the specification

my topic is “the impact of domestic revenue mobilization.

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Finishing your PhD thesis: 15 top tips from those in the know

Trying to complete a PhD thesis in time for the October deadline? We share some advice on getting over that final hurdle

• The key to a successful PhD thesis? Write in your own voice

Many PhD students are now in the final throes of writing their thesis. Turning years of research into a single, coherent piece of work can be tough, so we asked for tips from supervisors and recent PhD graduates. We were inundated with tweets and emails – and @AcademiaObscura helpfully created a Storify of the tweets. Below is a selection of the best tips.

1) Make sure you meet the PhD requirements for your institution “PhD students and their supervisors often presume things without checking. One supervisor told his student that a PhD was about 300 pages long so he wrote 300 pages. Unfortunately the supervisor had meant double-spaced, and the student had written single-spaced. Getting rid of 40,000 extra words with two weeks to go is not recommended.” ( Hannah Farrimond, lecturer in medical sociology, Exeter University)

2) Keep perspective “Everyone wants their thesis to be amazing, their magnum opus. But your most important work will come later. Think of your PhD as an apprenticeship. Your peers are unlikely to read your thesis and judge you on it. They are more likely to read any papers (articles, chapters, books) that result from it.” ( Dean D’Souza, PhD in cognitive neuroscience, Birkbeck, University of London)

3) Write the introduction last “Writing the introduction and conclusion together will help to tie up the thesis together, so save it for the end.” ( Ashish Jaiswal, PhD in business education, University of Oxford)

4) Use apps “ Trello is a project management tool (available as a smartphone app) which allows you to create ‘boards’ on which to pin all of your outstanding tasks, deadlines, and ideas. It allows you to make checklists too so you know that all of your important stuff is listed and to-hand, meaning you can focus on one thing at a time. It’s satisfying to move notes into the ‘done’ column too.” ( Lucy Irving, PhD in psychology, Middlesex University)

5) Address the unanswered questions “There will always be unanswered questions – don’t try to ignore or, even worse, obfuscate them. On the contrary, actively draw attention to them; identify them in your conclusion as areas for further investigation. Your PhD viva will go badly if you’ve attempted to disregard or evade the unresolved issues that your thesis has inevitably opened up.” ( Michael Perfect, PhD in English literature, University of Cambridge)

6) Buy your own laser printer “A basic monochrome laser printer that can print duplex (two-sided) can be bought online for less than £100, with off-brand replacement toners available for about £30 a pop. Repeatedly reprinting and editing draft thesis chapters has two very helpful functions. Firstly, it takes your work off the screen and onto paper, which is usually easier to proof. Secondly, it gives you a legitimate excuse to get away from your desk.” ( James Brown, PhD in architectural education, Queen’s University Belfast)

7) Checking is important “On days when your brain is too tired to write, check quotations, bibliography etc so you’re still making progress.” ( Julia Wright, professor of English at Dalhousie University, Canada)

8) Get feedback on the whole thesis “We often get feedback on individual chapters but plan to get feedback from your supervisor on the PhD as a whole to make sure it all hangs together nicely.” ( Mel Rohse, PhD in peace studies, University of Bradford)

9) Make sure you know when it will end “Sometimes supervisors use optimistic words such as ‘You are nearly there!’ Ask them to be specific. Are you three months away, or do you have six months’ worth of work? Or is it just a month’s load?” ( Rifat Mahbub, PhD in women’s studies, University of York)

10) Prepare for the viva “Don’t just focus on the thesis – the viva is very important too and examiners’ opinions can change following a successful viva. Remember that you are the expert in your specific field, not the examiners, and ask your supervisor to arrange a mock viva if practically possible.” ( Christine Jones , head of school of Welsh and bilingual studies, University of Wales Trinity St David)

11) Develop your own style “Take into account everything your supervisor has said, attend to their suggestions about revisions to your work but also be true to your own style of writing. What I found constructive was paying attention to the work of novelists I enjoy reading. It may seem that their style has nothing to do with your own field of research, but this does not matter. You can still absorb something of how they write and what makes it effective, compelling and believable.” ( Sarah Skyrme, PhD in sociology, Newcastle University)

12) Remember that more is not always better “A PhD thesis is not a race to the highest page count; don’t waste time padding.” ( Francis Woodhouse, PhD in mathematical biology, University of Cambridge)

13) Get a buddy “Find a colleague, your partner, a friend who is willing to support you. Share with them your milestones and goals, and agree to be accountable to them. This doesn’t mean they get to hassle or nag you, it just means someone else knows what you’re up to, and can help to check if your planning is realistic and achievable.” ( Cassandra Steer, PhD in criminology, University of Amsterdam)

14) Don’t pursue perfectionism “Remember that a PhD doesn’t have to be a masterpiece. Nothing more self-crippling than perfectionism.” ( Nathan Waddell, lecturer in modernist literature, Nottingham University )

15) Look after yourself “Go outside. Work outside if you can. Fresh air, trees and sunshine do wonders for what’s left of your sanity.” ( Helen Coverdale, PhD in law, LSE)

Do you have any tips to add? Share your advice in the comments below.

Join the higher education network for more comment, analysis and job opportunities , direct to your inbox. Follow us on Twitter @gdnhighered.

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How to tackle the PhD dissertation

Finding time to write can be a challenge for graduate students who often juggle multiple roles and responsibilities. Mabel Ho provides some tips to make the process less daunting

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Writing helps you share your work with the wider community. Your scholarship is important and you are making a valuable contribution to the field. While it might be intimidating to face a blank screen, remember, your first draft is not your final draft! The difficult part is getting something on the page to begin with. 

As the adage goes, a good dissertation is a done dissertation, and the goal is for you to find balance in your writing and establish the steps you can take to make the process smoother. Here are some practical strategies for tackling the PhD dissertation.

Write daily

This is a time to have honest conversations with yourself about your writing and work habits. Do you tackle the most challenging work in the morning? Or do you usually start with emails? Knowing your work routine will help you set parameters for the writing process, which includes various elements, from brainstorming ideas to setting outlines and editing. Once you are aware of your energy and focus levels, you’ll be ready to dedicate those times to writing.

While it might be tempting to block a substantial chunk of time to write and assume anything shorter is not useful, that is not the case. Writing daily, whether it’s a paragraph or several pages, keeps you in conversation with your writing practice. If you schedule two hours to write, remember to take a break during that time and reset. You can try:

• The Pomodoro Technique: a time management technique that breaks down your work into intervals
• Taking breaks: go outside for a walk or have a snack so you can come back to your writing rejuvenated
• Focus apps: it is easy to get distracted by devices and lose direction. Here are some app suggestions: Focus Bear (no free version); Forest (free version available); Cold Turkey website blocker (free version available) and Serene (no free version). 

This is a valuable opportunity to hone your time management and task prioritisation skills. Find out what works for you and put systems in place to support your practice. 

• Resources on academic writing for higher education professionals
• Stretch your work further by ‘triple writing’
• What is your academic writing temperament?

Create a community

While writing can be an isolating endeavour, there are ways to start forming a community (in-person or virtual) to help you set goals and stay accountable. There might be someone in your cohort who is also at the writing stage with whom you can set up a weekly check-in. Alternatively, explore your university’s resources and centres because there may be units and departments on campus that offer helpful opportunities, such as a writing week or retreat. Taking advantage of these opportunities helps combat isolation, foster accountability and grow networks. They can even lead to collaborations further down the line.

• Check in with your advisers and mentors. Reach out to your networks to find out about other people’s writing processes and additional resources.
• Don’t be afraid to share your work. Writing requires constant revisions and edits and finding people who you trust with feedback will help you grow as a writer. Plus, you can also read their work and help them with their editing process.
• Your community does not have to be just about writing!  If you enjoy going on hikes or trying new coffee shops, make that part of your weekly habit.  Sharing your work in different environments will help clarify your thoughts and ideas.

Address the why

The PhD dissertation writing process is often lengthy and it is sometimes easy to forget why you started. In these moments, it can be helpful to think back to what got you excited about your research and scholarship in the first place. Remember it is not just the work but also the people who propelled you forward. One idea is to start writing your “acknowledgements” section. Here are questions to get you started:

• Do you want to dedicate your work to someone? 
• What ideas sparked your interest in this journey? 
• Who cheered you on? 

This practice can help build momentum, as well as serve as a good reminder to carve out time to spend with your community. 

You got this!

Writing is a process. Give yourself grace, as you might not feel motivated all the time. Be consistent in your approach and reward yourself along the way. There is no single strategy when it comes to writing or maintaining motivation, so experiment and find out what works for you. 

Suggested readings

• Thriving as a Graduate Writer by Rachel Cayley (2023)
• Destination Dissertation by Sonja K. Foss and William Waters (2015)
• The PhD Writing Handbook by Desmond Thomas (2016).

Mabel Ho is director of professional development and student engagement at Dalhousie University.

If you would like advice and insight from academics and university staff delivered direct to your inbox each week,  sign up for the Campus newsletter .

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• What Is a PhD Thesis?
• Doing a PhD

This page will explain what a PhD thesis is and offer advice on how to write a good thesis, from outlining the typical structure to guiding you through the referencing. A summary of this page is as follows:

• A PhD thesis is a concentrated piece of original research which must be carried out by all PhD students in order to successfully earn their doctoral degree.
• The fundamental purpose of a thesis is to explain the conclusion that has been reached as a result of undertaking the research project.
• The typical PhD thesis structure will contain four chapters of original work sandwiched between a literature review chapter and a concluding chapter.
• There is no universal rule for the length of a thesis, but general guidelines set the word count between 70,000 to 100,000 words .

What Is a Thesis?

A thesis is the main output of a PhD as it explains your workflow in reaching the conclusions you have come to in undertaking the research project. As a result, much of the content of your thesis will be based around your chapters of original work.

For your thesis to be successful, it needs to adequately defend your argument and provide a unique or increased insight into your field that was not previously available. As such, you can’t rely on other ideas or results to produce your thesis; it needs to be an original piece of text that belongs to you and you alone.

What Should a Thesis Include?

Although each thesis will be unique, they will all follow the same general format. To demonstrate this, we’ve put together an example structure of a PhD thesis and explained what you should include in each section below.

Acknowledgements

This is a personal section which you may or may not choose to include. The vast majority of students include it, giving both gratitude and recognition to their supervisor, university, sponsor/funder and anyone else who has supported them along the way.

1. Introduction

Provide a brief overview of your reason for carrying out your research project and what you hope to achieve by undertaking it. Following this, explain the structure of your thesis to give the reader context for what he or she is about to read.

2. Literature Review

Set the context of your research by explaining the foundation of what is currently known within your field of research, what recent developments have occurred, and where the gaps in knowledge are. You should conclude the literature review by outlining the overarching aims and objectives of the research project.

3. Main Body

This section focuses on explaining all aspects of your original research and so will form the bulk of your thesis. Typically, this section will contain four chapters covering the below:

• your research/data collection methodologies,
• your results,
• a comprehensive analysis of your results,
• a detailed discussion of your findings.

Depending on your project, each of your chapters may independently contain the structure listed above or in some projects, each chapter could be focussed entirely on one aspect (e.g. a standalone results chapter). Ideally, each of these chapters should be formatted such that they could be translated into papers for submission to peer-reviewed journals. Therefore, following your PhD, you should be able to submit papers for peer-review by reusing content you have already produced.

4. Conclusion

The conclusion will be a summary of your key findings with emphasis placed on the new contributions you have made to your field.

When producing your conclusion, it’s imperative that you relate it back to your original research aims, objectives and hypotheses. Make sure you have answered your original question.

Finding a PhD has never been this easy – search for a PhD by keyword, location or academic area of interest.

How Many Words Is a PhD Thesis?

A common question we receive from students is – “how long should my thesis be?“.

Every university has different guidelines on this matter, therefore, consult with your university to get an understanding of their full requirements. Generally speaking, most supervisors will suggest somewhere between 70,000 and 100,000 words . This usually corresponds to somewhere between 250 – 350 pages .

We must stress that this is flexible, and it is important not to focus solely on the length of your thesis, but rather the quality.

How Do I Format My Thesis?

Although the exact formatting requirements will vary depending on the university, the typical formatting policies adopted by most universities are:

What Happens When I Finish My Thesis?

After you have submitted your thesis, you will attend a viva . A viva is an interview-style examination during which you are required to defend your thesis and answer questions on it. The aim of the viva is to convince your examiners that your work is of the level required for a doctoral degree. It is one of the last steps in the PhD process and arguably one of the most daunting!

For more information on the viva process and for tips on how to confidently pass it, please refer to our in-depth PhD Viva Guide .

How Do I Publish My Thesis?

Unfortunately, you can’t publish your thesis in its entirety in a journal. However, universities can make it available for others to read through their library system.

If you want to submit your work in a journal, you will need to develop it into one or more peer-reviewed papers. This will largely involve reformatting, condensing and tailoring it to meet the standards of the journal you are targeting.

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How to plan, structure and write every chapter in your PhD

In this collection, we’ll walk you through each chapter of your thesis. You’ll learn what goes where and how it fits together. 

The PhD Discussion Chapter: What It Is & How To Write It

  Your PhD discussion chapter is your thesis's intellectual epicenter. Think of it as the scholarly equivalent of a courtroom closing argument, where you summarise the evidence and make your case. Perhaps that’s why it’s so tricky - the skills you need in your...

Everything you wanted to know about structuring your PhD but were too afraid to ask

Understanding how to structure your PhD is tough. It helps to break it down into four distinct sections. In this guide, we explain how.

How to find the thread that runs through your PhD thesis

You probably worry about finding the thread that runs through the PhD thesis. In this guide we walk you through what’s required.

How to edit a PhD thesis (without going mad)

Your thesis takes a lot of time to research, ideate, and write. Here’s how to properly edit a PhD thesis such that you impress your examiners and achieve even greater success.

The 9 most effective ways to achieve PhD success

  Writing a PhD is physically, intellectually and emotionally daunting. You may spend each day doubting yourself, not sure if you’re making the right choices and unsure whether you’ve got what it takes. During my life, I’ve helped thousands of PhD students like...

How To Structure A PhD Thesis

Struggling to understand what goes where? Let us walk you through a non-nonsense guide that’ll teach you how to structure a PhD thesis.

The difference between empirical and discussion chapters (and how to write them)

There is a very important distinction that needs to be made between the empirical and discussion sections/chapters. It is a common misconception that the empirical chapters are the place for your analysis. Often this confuses the reader.

Five tips to improve your PhD thesis

Regardless of what stage of the writing process you are at, there are five overarching tips you need to keep in mind if you want to improve your PhD thesis.

What are you doing and how are you doing it? Articulating your aims and objectives.

How long does it take the person reading your thesis to understand what you’re doing and how you’re doing it? If the answer is anything other than ’in the the opening lines of the thesis’, keep reading.

Learn how to write a PhD proposal that will stand out from the rest

When stripped down to its basic components, the PhD proposal explains the what and the why of your research. What it will be about and why it will be important.

Easily understand how to write a PhD thesis introduction

Get the introduction right and the rest of your dissertation will follow. Mess it up and you’ll be struggling to catch up. The introduction is the place to factually recount what it is you will be discussing in the thesis. Learn more in this detailed guide.

Last impressions count – writing your PhD thesis conclusion

The conclusion is the last thing your examiner will read before they write their viva report. You need to make sure it stands out.

What is a dissertation abstract and how do I write one for my PhD?

Don’t underestimate how hard it is to write a PhD thesis abstract. When I wrote mine I though it’d be straightforward. Far from it. It’s tricky. You have to condense hundred of pages and years of work into a few hundred words.

Russian (dolls) to the rescue – how to structure an argument in your PhD

At the core of the PhD are arguments. Lots of them. Some more important and some very specific. When you understand how to structure an argument, your thesis reads clearly and logically. If you don’t the reader ends up confused and your thesis suffers.

Drowning in a sea of authors – How to be critical in a PhD literature review.

Don’t get lost in a sea of authors when you write your PhD literature review. Instead be critical. In this guide we explain how.

Wrestling an elephant into a cupboard: how to write a PhD literature review in nine easy steps

When I was writing my PhD I hated the literature review. I was scared of it. I thought it would be impossible to grapple. So much so that it used to keep me up at night. Now I know how easy it can be and I’m sharing my top tips with you today.

A Template To Help You Structure Your PhD’s Theoretical Framework Chapter

In this guide, I explain how to use the theory framework template. The focus is on the practical things to consider when you’re working with the template and how you can give your theory framework the rockstar treatment.

How To Structure A PhD With Our PhD Writing Template

Our PhD Writing Template allows you to visualise your PhD on one page. Here we explain how to fill it in and how it can help you structure each chapter.

Eureka! When I learnt how to write a theoretical framework

The theoretical framework is so important, but so misunderstood. Here we explain it is in simple terms: as a toolbox.

Explore Other PhD Knowledge Base Collections

Eight collections of free resources to help you along the phd journey.

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

Explore our back-catalogue of motivational advice

Each week we send out a short, motivational email to over 4,000 students. Here you can sign up and access the archive.

A free one-page PhD structure template

Get science-backed answers as you write with Paperpal's Research feature

How to Write a PhD Thesis: 13 Tips For PhD Thesis Writing 

Completing a successful PhD research thesis is extremely challenging, and how to write a PhD thesis is often a question in students’ minds. Fret not, there are many ways to make the process of PhD thesis writing less bumpy. This article will provide some PhD thesis writing tips to simplify the writing process and help you complete your thesis on time, while keeping your sanity mostly intact. 

Only about 50% of students enrolled in a PhD program ever complete it 1 . They drop out at many different points during the process for many different reasons. Some leave because the course work is too difficult or time consuming. Some leave for personal or financial reasons. One common cause of non-completion, or late completion, is the daunting spectre of PhD thesis writing. 

PhD thesis writing tips: How to overcome the challenge of writing your PhD thesis

First, remember that although writing a PhD thesis is difficult, this can be accomplished. Here are some things to consider that will increase your confidence and make the task of PhD thesis writing a bit less scary. 

• Create an outline before you start writing – The most effective way to keep your work organized is to first create an outline based on the PhD thesis structure required by your university. Using an outline for your PhD paper writing has tremendous benefits. It creates a handy space to keep and organize all the little snippets of information and questions you will have during your preparation. It allows you to effectively plan your work and manage your time and makes the actual writing much easier. A thesis is shaped more than written, and an outline provides it the required PhD thesis structure. 
• Follow all university guides – Be careful to ensure that you are meeting all the requirements of your university. This includes everything from topic selection to structure to writing style. It is extremely frustrating to spend a lot of time and effort on a section only to have to do it over because you didn’t follow the proper guidelines. Read all relevant material from your university over and over until you have it memorized. Then, check it again. 
• Section order – It is usually best not to do your PhD thesis writing in chronological order. For researchers, the easiest parts to write are usually the Method and Results. So, gain some confidence first and write the Introduction and Conclusion last to tie it all together. 
• Work extensively with your supervisor – Don’t forget that in the process of PhD thesis writing, help is right there when you ask for it. Do not hesitate to ask for guidance from your supervisor, advisors, or other committee members when you get stuck. Clear and regular communication with these important resources can save you untold heartache during the PhD research and thesis writing processes. This should not be a solo exercise; they have all been where you are now. 
• Plan carefully, create rough drafts, and refine 2 – This is so important and basic to all academic research that it bears repeating. You will not write the final PhD thesis on your first try. Do not become frustrated, trust the process. 
• Produce quality writing – Make sure your ideas flow easily and are clear and easy to read. This is not a strong skill for most beginning researchers, but it’s a skill that can be learned with a lot of practice. Therefore, edit, edit, and edit some more. If you need it, there are many places to get PhD thesis writing help and assistance. 
• Details matter – Pay attention to the small things, especially with the document formatting. If you start out using the proper format, you will be saving a tremendous amount of time and grief later. 
• Avoid plagiarism – Quote accurately, otherwise paraphrase. There is no excuse for being a lazy writer. Consider using a smart tool or service to check for plagiarism during your PhD thesis editing process to make sure you did not unintentionally copy any material. 
• Rein in the references – Use a database, such as EndNote or Mendeley, to keep them organized and under control; check and double check citations and references with the bibliography to ensure they all match. Don’t forget to use the PhD thesis style required by your university. 
• Keep it simple – Remember, this is only the start of your career, not your ultimate work 3 ; perfectionism can be a disaster. 
• Make consistent progress – Try to write at least a little every day; check quotations and references when writing seems too difficult. 3  
• Keep your reader in mind – As with all writing, your PhD thesis is meant to be read, so be considerate of those who read it; be concise, include all necessary data/information to support your argument but nothing extra. Strive to be understood and avoid unnecessary words. 
• Be persistent and eager – Writing a doctoral thesis becomes easier if you are consistent and dedicated. All other things being equal, your attitude will ultimately determine your success. Have patience and work hard. Create work you will be proud of for a lifetime. 
• Cassuto, L. Ph.D. attrition: How much is too much? The Chronicle of Higher Education.    https://www.chronicle.com/article/ph-d-attrition-how-much-is-too-much/?cid=gen_sign_in [Accessed 20 July 2022]
• Curl, I. 10 tips for writing a PhD thesis. Times Higher Education. https://www.timeshighereducation.com/blog/10-tips-writing-phd-thesis [Accessed 20 July 2022]
• Thomas, K. Finishing your PhD thesis: 15 top tips from those in the know. The Guardian. https://www.theguardian.com/higher-education-network/blog/2014/aug/27/finishing-phd-thesis-top-tips-experts-advice [Accessed 20 July 2022]

A PhD thesis includes several key components, that are essential for the work to be considered seriously. These may vary depending on the research field and specific requirements of the institution, but generally include: ·         an introduction that presents the research question and context, ·         a literature review that surveys existing knowledge and research, ·         a methodology section describing the research design and methods employed, ·         a presentation of findings or results, ·         a discussion section interpreting the results and their implications, and ·         a conclusion that summarizes the main findings and contributions. Additionally, appendices may contain supplementary materials such as data, charts, or technical details.  

The time required for writing a PhD thesis can vary significantly depending on factors such as the research topic, the individual’s research progress, the specific requirements of the institution, and the researcher’s writing process. On average, it can take several months to a few years to complete a PhD thesis. The research, data collection, and analysis stages can span several years, with the PhD thesis writing phase itself often lasting several months. Here, AI writing assistants like Paperpal, designed for academics, can help you write better. Explore Paperpal and see the difference for yourself!

To select a suitable topic for your PhD thesis, start by identifying your research interests and areas of expertise. Consider the gaps or unresolved questions in your field of study and explore potential research avenues and read extensively in your area of interest. Consult with your advisor or mentors, who can offer guidance and help narrow down your options. Once you have a tentative topic, conduct a literature review to ensure its novelty and feasibility. It’s important to choose a topic that aligns with your passion, has potential for meaningful contribution, and is feasible given available resources and time constraints.

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

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

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

Steps in Constructing a Thesis

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

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

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

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

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

Some Caveats and Some Examples

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

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

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

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

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

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

The Savvy Scientist

Experiences of a London PhD student and beyond

How Hard is a PhD?

Amongst the general population, having a PhD is often seen as the pinnacle of academic achievements but how hard is it to achieve?

Having passed my PhD viva yesterday I now feel I’m in a position to really judge how difficult a PhD is!

Congratulations to Jeff @savvy_scientist who passed his PhD viva today, remotely! Now we're having a celebration – remotely! #StayHome pic.twitter.com/4rI0ZiCF5z — ImperialBiomechanics (@ICBiomechanics) March 25, 2020

A dive into the unknown

Any time we don’t have experience in something, the element of the unknown can make it hard to evaluate how hard it is.

Coming from your previous qualifications you may extrapolate and think that since your undergraduate degree was a step up from high school in work and difficulty, a PhD must be another step change in difficulty.

With PhDs it’s not helped by the fact that a lot of the time only the most academically capable students are interested in them, which may make you think you have to be really clever to do one. Plus, as they’re not that common it’s not always easy to find people with experience to speak to.

Growing up I didn’t know anyone who had done a PhD degree, heck none of my immediate family had been to university, so I appreciate that gaining an insight about PhDs isn’t available to everyone.

So how hard is a PhD?

The reality is that a PhD can be difficult, but mostly it’s just different .

How hard you might find certain aspects of a PhD really depend on your own working style and to a lesser extent personality. Let’s discuss the factors one by one.

How hard is it to manage the PhD workload?

During a PhD there will be times you have to stay late, or work weekends (every so often) but it’s nothing like undergraduate degrees, with relentless deadlines and all-nighters being a regular occurrence for a lot of us.

Something that studying for a PhD does have in common with undergrad is that there is always more work that you can get on with, which can be disconcerting. Though unlike undergrad this feeling doesn’t stop after exams where you can enjoy a long study-free summer, because there are no term times for a PhD. I’ve previously shared how much holiday I’ve taken as a PhD student .

You need to find a way to switch off, otherwise your mental health will suffer.

Prior to starting my PhD I worked as a research assistant for three years and I found it helpful to view my PhD as a full time job. Even all the way through to submitting my thesis, working consistently 9-5ish every day was enough. I do hear of people working every hour of the week but these are the exception rather than the norm.

For a deeper insight into my typical working schedule check out the post below where I shared my calendar.

How Much Work is a PhD?

PhD depth and breadth of study

If you’ve been in higher education for a while, you’ll have probably got used to learning a wide amount of topics in a short time. Topics are covered at a fast pace, sometimes in not much detail, without much time to build your understanding.

I can’t have been the only person who during undergrad was effectively have to fight fires, not having much time to concentrate and fully understand each topic before having to move on to the next one.

PhDs provide a step-change, where you focus in on a single topic to a much greater depth.

For most PhDs there will be a certain amount of knowledge you’re expected to have picked up from your previous degree(s), but the pace of a PhD is undoubtedly much more slow. The reality is that the breadth of a PhD topic is really quite limited, though it can often span several disciplines. It’s common for your project to involve topics you’re not completely comfortable with.

You have a lot of time to focus on just one topic and you’re expected and required to know the topic inside out. The good news is that you’re given more than adequate time to learn the ropes.

As a PhD student there is nothing wrong with refreshing your knowledge of basic topics, especially if it’s something you haven’t studied in years. I still look things up on YouTube and Wikipedia and there is no shame in doing so: you’re in this position to learn and produce scientific outputs, so it’s much better that you’re comfortable with the topic.

I would suggest that for most people a PhD is generally more relaxed than an undergraduate degree. That’s not to say there isn’t work involved, but the pace gives you breathing room to understand the topic comprehensively.

If there’s one key message I’d like to get across, it’s please don’t ever be scared to ask your supervisor questions. You’re not on your own.

That’s assuming your supervisor is interested in supervising, which sadly isn’t always the case. Lack of supervisor support is one of the main difficulties I’ve seen students face (in other research groups I should add!). I wrote some tips here for choosing projects and supervisors .

How to Choose a PhD Project & Supervisor

Essentially as long as you are willing to learn, I wouldn’t worry too much about this aspect of a PhD.

Is a PhD intellectually difficult?

You’ve probably heard the metaphor about standing on the shoulders of giants, and it’s true that as a PhD student you’re building on previous work carried out in the field.

However there usually isn’t an expectation to make massive intellectual strides forwards. In reality you’ll probably be giving a small nudge forwards to a small area of the field. For some people this can be a relief and make the idea of doing original research much more obtainable, whereas for others it may belittle the entire idea of doing research!

The reality of the situation is that PhD students may be seen as a cost effective source of labour to advance science. Although we’re often working on projects with complicated lofty descriptions such as “ nanoparticles impregnated with silver ions for cancer treatment ” or “ biphasic lubrication mechanics of soft engineering materials ” in reality the practical side of them does not require genius level intellect.

Oftentimes you’ll be doing pretty menial things behind these grand topic titles. These tasks require you to know what you’re doing, but rarely will you have devised the whole thing yourself.

Fun fact: at my first job after undergrad, working at one of the most prestigious universities in the world, my boss would sometimes bring in her gardener to pick up any slack, doing the same work as me and some of the post-docs.

A full house for @trayanovalab at the @ImperialBioeng annual lecture. Amazing work & images! #ComputationalCardiology pic.twitter.com/R2dxE7csbg — Jeff Clark (@savvy_scientist) June 18, 2018

Of course you need to be able to understand the concepts behind what you’re doing, but I wouldn’t worry too much if you’re worried that you have to be a genius to complete a PhD.

So is a PhD easy?

In terms of workload and difficulty a PhD isn’t necessarily as difficult as you might think, so don’t be scared off. That’s not to say it’s not without challenges which we’ll now go on to discuss.

How a PhD can be hard

Of course there are differences between projects, supervisors and universities but I’d say generally the main things which can make a PhD hard are:

Self motivation

Looking after yourself, dealing with isolation.

• Your ability to problem solve
• Fear of public speaking

Prior to studying for a PhD, your studies will likely have been structured by a timetable of contact hours, coursework deadlines and exams. Working towards a PhD is the first time you’re likely to experience fully independent working for extended periods of time. It will also involve work where no one, not even your supervisors, know all the answers. This can be daunting and I think this is where difficulties may stem from for many students.

A PhD is a long-term commitment so you need dedication to reach the end of a PhD.

By the end of your PhD you’ll have to demonstrate that you’ve contributed to your field with a thesis and/or peer-reviewed publications. This can be a challenge and without the regular undergraduate format of deadlines and exams, you may quickly lose focus. Regaining that focus and dedication is key to seeing your PhD through.

If this is something you struggle with check out my post on maintaining motivation during your PhD .

At Imperial we have two progress points throughout the PhD: one at 9-12 months (Early Stage Assessment) and another at 18-24 months (Late Stage Review). These formal progression checkpoints help by giving deadlines and a structure to work towards.

Solution: I believe one of the best ways to keep up productivity, and ensure you’re on the right track, is to meet regularly with the supervisor. I suggest meeting at least a few times per month. I do know some people who meet much less regularly and this can work for some people. However, I personally find myself chatting with my supervisor about far more than the types of things I’d want to ask in an email and this is where the mentorship aspect of a PhD can be made or broken.

In summary, working closely with your supervisor can make your PhD a lot less difficult.

It’s very easy to develop bad habits during your PhD such as:

• Eating badly and drinking too much coffee
• Getting stressed and working long hours
• Not getting exercise and sleeping poorly

From not cycling at all I've now cycled 1k+ miles in London, mostly commuting to @imperialcollege . Great way to get around with so many benefits. Started because of a free course by @RBKC & @Bikeworksuk w/ a refurbished bike! Few words about my experience: https://t.co/rGwSqomikD pic.twitter.com/joyVftxuVn — Jeff Clark (@savvy_scientist) August 30, 2019

Solution: Remember that working longer hours won’t necessarily help your productivity. Instead take time out of your day for breaks and go for walks. Dedicate time to look after yourself. If you’re looking for ways to stay efficient, think of doing things like commuting by walking or cycling. I’d also highly recommend cooking your own meals to stay healthy (and save money ).

When I say isolation I really mean a few different things:

Owning your own project

Every PhD project is different, you may collaborate with friends or colleagues for bits of your work but you are the only person driving forwards your project.

This means that you may face problems other people in the research group or department haven’t encountered. Not only could this be isolating but it may also set your project back if you don’t mitigate the risks.

Solution: Firstly, don’t be afraid to ask people for help. Maybe someone from your group doesn’t have the answer to your problems but they may offer useful advice or know someone else in the department who may help. Coffee breaks offer an opportunity to informally chat with colleagues, which can both be fruitful for your work and your mental health: here is a nice Science article about the positives of coffee breaks.

Imposter Syndrome

As every project is unique it can be very difficult to tell how you measure up to other people. At times you may struggle to understand what other people in your group are working on, but this doesn’t mean you’re not cut out for it! Supervisors have a good idea of what’s required for a project when you’re applying: if you’re accepted you’ll more than likely be fine in this regard.

Solution: Don’t compare yourself to others. This is fruitless, especially when every project is different anyway. Make sure you understand your own project well and you’ll be fine. Having a chat with other students can be a good way to reassure you that everyone goes through difficult times.

Staying social

If I asked you to close your eyes and picture a PhD student, what would you see? Personally I used to conjure up an image of a fatigued student wearing goggles and trapped in a lab, rarely seeing daylight.

That’s not always a hundred miles away from the truth, but it doesn’t have to be the case. We’ve already covered how working such long hours can be counterproductive, but also putting yourself in a solitary position like this can be both demoralising and awful for your mental wellbeing. Please don’t!

Solution: Take frequent breaks, get involved with activities your lab-mates or department are organising: or organise something yourself. Find something you enjoy and can look forward to going along to, you can still join clubs and societies as a postgrad. Being isolated can make a PhD so much more mentally difficult: it doesn’t need to be!

Solving problems

You hear people saying that to be a good researcher you have to be inquisitive and questioning everything. These are certainly good traits to have which can make the work more meaningful, but at the level of a PhD student I believe it’s much more important to work smart.

To me this includes the ability to:

• Think on your feet
• Don’t be afraid to ask your supervisor questions
• Be forward thinking and catch problems early

Solution: Set up a framework to overcome problems and always think of ways to mitigate risks by having a Plan B. For example I work with people who’ve waited six months for consumables to arrive: if you don’t consider risks like this you immediately set yourself up for a less productive and more stressful experience. As before, I really do recommend meeting with your supervisor frequently.

Public speaking

I’m not sure whether presenting your work is a requirement for every PhD but it’s certainly an expectation for most. If nothing else you’ll likely have to present in your viva.

A fear of public speaking is very common and as such it’s a common PhD difficulty to tackle.

It’s completely natural to be nervous with the idea of presenting, however that’s not a reason to avoid public speaking completely. On the contrary you’ll only get comfortable with it by practicing. We’re fortunate as researchers to get regular opportunities to try public speaking.

I certainly still get nervous myself but would rather face the fear than shy away from it: plus you feel great afterwards.

Solution: Take opportunities to give presentations, whether it be at lab meetings, departmental events or conferences. The great thing with being a PhD student is that you get to practice with no expectations that you’ll be perfect. It’s much better to face it now than push the problem back later in to your career. I’ve written some tips for how to keep your presentation interesting.

Presentation Skills for Students: How to Stay On Topic and Keep Audience Attention

Some example issues you might have to overcome as a PhD student

Common phd challenges.

Now that we’ve covered the categories of common PhD difficulties here are some common day to day challenges:

• You need to use a technique or piece of old lab equipment and there’s no one to teach you how to use it
• You’re scared to ask for help because you think you should already know the answer
• You’re not getting the results from an experiment you’re expecting to see
• You need to write a code to do something and have never coded before
• You’re struggling to understand a concept
• You’re bored of reading or are losing interest in the topic
• You feel lonely
• You’re stuck waiting for something to arrive
• You need to create nice looking diagrams
• You need to build a rig or piece of equipment from scratch
• You’re worried about giving a presentation
• Your supervisor isn’t providing support
• You’ve no idea what statistical analysis to use
• You’re facing funding limitations, meaning you can’t do all the experiments you ideally would
• You’re struggling to motivate yourself to write a 100+ page thesis!

I’ve written a separate post covering a range of challenges I faced during my own PhD and you can find that post here: Overcoming Academic Challenges and Failure During a PhD .

Overcoming PhD challenges

It’s normal to face problems during a PhD. It’s how you tackle these problems that will be the defining factor in how difficult you find the PhD.

Part of the joy in completing a PhD is knowing that you’ve managed to overcome these difficulties.

In all these scenarios having a chat with other people will help. Even if other students or staff can’t directly provide assistance, most people are very friendly and supportive which will boost your morale.

I can’t overstate how useful scheduling regular meetings with your supervisor is. It’s so much better to face problems early rather than awkwardly have to deal with it six months later. I meet with my primary supervisor every week and we work together to set short-term deadlines for my work which tie in with the larger targets.

For problems outside of your supervisor’s remit lots of universities provide additional support. For example the graduate school at Imperial lays on courses for PhD students covering how to code, using reference managers, statistics etc.

Plus there are usually facilities for dealing with things such as stress and anxiety via counselling, student support and chaplaincies. Don’t make the PhD more difficult than it needs to be, these facilities are put in place to help you.

Has my PhD been hard?

I’ve been surprised by how manageable the PhD has been. I wouldn’t say that any of the research work was particularly difficult, it has simply required dedication.

Good time management and taking my mental health seriously have helped a lot, as has considering it a full time job. Slow and steady wins the race. Simple steps like always having a backup plan to mitigate the chance of getting stuck if things go wrong has served me well.

I’ve never been a fan of presenting but have learned to expose myself to it in an effort for self improvement. Of the five conference presentations I gave during my PhD, I won prizes for two.

Remember that you may lack self confidence but how you come across to other people may not be how you perceive yourself: this can be very uplifting. If I can do it so can you!

Thesis-writing

I’m currently in the process of writing up a separate post dedicated to my experience of writing a thesis. In summary, for me personally, it wasn’t anything like as stressful as I was thinking it would be.

I gave myself approximately six weeks to write most of it. Mine was 190 pages in total which may sound daunting but I actually only had about 120 pages of proper content and it’s all with 1.5 line spacing. Each chapter was only about 20 pages which sounds much more manageable and really isn’t much for 3 years work!

Things which helped me included:

• Having already written up some results.
• Using figures I’d made for presentations.
• Not expecting it to be perfect.
• Setting myself tight deadlines. I gave myself two weeks to write the introduction, literature review and discussion chapters.

Some of us PhD students make things more difficult than they need to be, trying to make everything perfect. I’ve heard some staff say “good enough is good enough” which I’ve found a useful mantra.

I recommend not spending too long on the thesis because:

• Papers are what count, put your energy into them instead.
• There is no point trying to second-guess what your examiners may want to see, you could spend months deliberating and they’ll still potentially have corrections to suggest.

I was a bit nervous before my viva, which is normal. I was confident in the work I had done for the PhD, but was actually more concerned about being asked any theoretical or technical questions you’d be more likely to encounter in an undergraduate course.

Although it lasted more than five hours, mine was a supportive environment, mostly a discussion to give feedback to improve the thesis and publications. Remember to be honest and be reassured that you know your work better than anyone else.

In summary, how hard is a PhD?

• Most PhDs are not intellectually difficult but they do present other challenges
• How hard you may find a PhD depends on your ability to self motivate, look after yourself, deal with isolation, problem solve and master public speaking
• Everyone experiences challenges during their PhD but it’s how you confront those challenges that matters
• Make the most of your supervisor for support and guidance

If you’d like personalised help with your PhD application I am now starting to offer a small number of one-to-one sessions. Please contact me to find out more or click here to book a call.

If you’re interested in doing a PhD but are scared of the difficulty, please don’t be put off.

As long as you’re willing to learn and are dedicated I am sure you can succeed.

Finally, remember to enjoy the experience!

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10 Comments on “How Hard is a PhD?”

I have really been struggling on whether to apply for a PhD. This post has given me the realistic picture I needed. Thank you

Yay, I’m so pleased you found it useful, Ankita! If you can think of any other questions you’d like answered be sure to let me know. Best wishes

Thanks for sharing your experiences and insights, Jeff 🙂 I find this post really helpful in terms of being aware of what’s to come as I start my PhD journey – and more importantly, what I can do to overcome these potential obstacles!

Hey Julie, I’m pleased you’ve found it useful. Best of luck with your PhD!

Jeff, Thank you very much for putting this together. Im a second year PhD student who regularly finds themselves in crisis of confidence. This article really helps to give me a little perspective, empowering me to plough on regardless of nagging doubts!

Thanks very much for your comment, Callum. I’m really glad the article has helped. Best of luck with the rest of your project: you’ve got this!!

I am currently a full time MBA student who will graduate in December. My professor in Leadership actually approached me about whether I would consider becoming a higher ed professor and researcher. She noticed qualities in my writing and research that she said the job would suit me perfectly. I have been back and forth on the idea and your site has truly been a great boost for me in getting the confidence I need to apply for my PhD, so thank you :)!

Hey Sarah. Yay! I’m so glad the website has been useful for you, thanks so much for your comment. Do let me know if you have any other questions or suggestions for other content which would help. Best of luck with the end of your MBA and future PhD application! Best wishes, Jeff.

Jeff, Thank you for taking the time to put this together. I am entering my final term of my MS in Cybersecurity and graduate in May 21 and I was curious on the level of effort for a PhD. When my wife saw me looking at PhD programs however she lovingly made me close the browser so it may not be in the cards right now. Granted I do have 2 young children under 5, a full time job and am an Army Reservist so she isn’t wrong 🙂 However, I do really appreciate you putting this together to help other students interested in PhD programs. This has given me great insight into what to expect and what it will take. Thanks again! George

Hi George, Thanks so much for your kind comment, I’m glad it has been useful for you. In terms of how much effort a PhD is: anecdotally I did mine keeping pretty strictly to normal office hours of roughly 9-5 Monday-Friday and had the official letter confirming my PhD within 3.5 years of the day I started. Admittedly this is in the UK, I expect in the US it would take a little longer overall but the weekly workload doesn’t need to be overwhelming. I think my peers on average worked similar hours. The nice thing about research is that, assuming you have a reasonable supervisor, you are typically much more in control of your hours than in a traditional job. As long as you get the work done a good PhD supervisor doesn’t tend to care how you schedule your time so could fit quite nicely around other commitments such as childcare. Sometimes people think the flexible hours can only go badly for them: being expected to work longer hours than normal, but I don’t think this needs to be the case. Of course chucking endless hours at a task isn’t always useful, better to work smart! Sure some projects may involve intense sets of experiments but these are either usually few and far between or limited to fields like biology with cell experiments. In my experience anything based on a computer tends to be more flexible so you’re good. Basically the level of effort doesn’t need to be any more intense than a normal job. I hope this helps. Let me know if you have any other questions or I’d be happy to jump on a quick call if that’d help. Best of luck! Jeff.

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Tip 1: Break it into such small, discrete goals that you almost feel silly writing them down individually.

This is by far the most important skill on this list. I only started developing this skill while writing my thesis but have since honed it while working in industrial R&D.   Subscribe to our newsletter at the bottom of this page   for the next blog post “Why I left academia in search of self-development”.

The value of this skill cannot be understated and luckily can be easily learned by anyone. Here’s how I make it work: Set aside 15 minutes for planning out your next 10-20 hours of work on a project. Create a large to-do list for each project (there are a lot of great Excel templates online). You can list some big milestones further out but keep the tiny details within range of tasks you could finish in the next few days. Every morning, review your tasks, add new discrete tasks that are now within range. Add a number (1-10) to every task to denote the order you’re going to work through them for this specific day. Stick to the list and avoid jumping to topics off-list that pop up. If something important   and   urgent pops up, add it to your list and give it a number.

Some examples for your shortlist if you were writing a thesis:

• Send email to professor about feedback from Chapter 4
• Re-format figure captions from Chapter 4
• Write two paragraphs about results from experiments on October 4 th -12 th
• Create summary plot for above experiments
• Import and reformat data from experiments October 19 th -27 th
• Write rough outline for rest of Chapter 5
• Send outline of Chapter 5 to professor
• Review feedback from professor on Chapter 4
• Make list of changes in Chapter 4 based on professor’s feedback this morning

Are you the type of person that writes “Make List” on your to-do list just so you have something to cross off? Do you write down tasks you just finished just to cross them off?

If you are, you have a head start on this method! Creating and working through a list in this much discretized detail has a lot of secondary effects. You’ll be forced to plan out your work in greater detail (and prioritize better). You’ll be more likely to use small chunks of time effectively to make progress and free up more time for yourself. Most importantly,   you’ll finish your day with a sense of accomplishment and forward momentum because you got things done , instead of the feeling that you moved the needle from 23% to 24% complete after 10 hours of work. As ridiculous as this list may sound, I’ve found it has a profound psychological effect on my motivation and momentum for the rest of the day. The key is to have the discipline to spend those first 15 minutes of your day planning instead of reacting to every thought or email that comes in. Try it out for one week straight and make modifications based on what is working for you.

Tip 2: Write everything that comes to mind, then trim and re-organize later.

If it’s flowing in your mind, get it into the whitespace of your document   somewhere . I’ve found that most technical writing blocks come when a person doesn’t know how exactly to write the next thing or isn’t sure what exactly should come next, even though they have ideas and words in their head for later sections. Your brain can get stuck running in circles testing out different ways to present the information and become paralyzed by the endless possibilities coupled with the lack of a clear path.

How can you put a puzzle together if you don’t know what the pieces look like?

It’s much easier to decide on the best idea flow   after   you’ve put the bulk of each idea onto the paper. When you have all the information in place and pseudo-organized, pick through it with a fine-tooth comb to trim down superfluous sentences and smooth out the transitions between paragraphs. Then, send the section to your adviser and group members for feedback. Continue writing other sections while waiting for their feedback.

Tip 3: Recognize that you don’t have to close every single loose end.

The point of your thesis is to document your discoveries and progress so that a new person can carry the torch forward without starting from scratch. If you found something interesting but can’t explain it, just present the data and state the questions still to be answered. Include your ideas about what could be done next to get closer to the answers. If you’ve spent more than three hours banging your head against the table staring at one plot, it’s time to move on to the next section. You’ll be surprised how working on other parts can stimulate ideas that can help close the difficult section off later.

Tip 4: Set up your formatting correctly immediately when starting.

Hopefully you’re proficient in LaTeX. If not (I wasn’t), learn how to properly assign section and sub-section headings in Word and to keep consistent formatting between them. This will be critical for auto-updating your table of contents. It will also help you collapse sections and jump around in your 200+ page document from the sidebar “Navigation Pane”. Create actual captions for your figures and tables using the built-in functionality and link references in the text to those captions. Now, when you add a new image earlier in the document, the figure and all its references will be updated automatically. Make sure to also set up your citation editor right away using the recommended format and make sure it can auto-generate the reference list. You may have gotten away with manually formatting these for short journal article submissions, but you will have untold headaches clicking through the text and re-numbering each reference if you don’t do this from the start. Check with your Graduate Studies department to see if they have a pre-formatted document you can use.

Tip 5: Remember that this is a struggle for   everyone .

If you find yourself getting lost in self-deprecation, re-frame your thinking. Instead of “Why can’t I focus on this?” ask yourself “What factors are causing me to lose focus and how can I limit these or mitigate their effects?” Instead of asking “Why can’t I make sense of this data?”, re-frame it as “How can I present this data factually while pointing out the unknowns?”

Tip 6: Put your phone on airplane mode and out of arms’ reach.

You already know that your phone is the #1 distraction you have. Make the distraction less of a willpower issue and more of a practicality issue by putting your phone on airplane mode and putting it somewhere on the other side of the room, in a box, in another room, etc. The further away, the better. Now you’ll have to weigh the hassle of getting up and retrieving it to quickly check it for notifications.

Tip 7: Use an auto-responder on your email or put it in Do Not Disturb mode.

Once your phone is hidden, it’s time to take care of distractions on your computer. Both Gmail and Outlook have functions to turn off notifications or stop retrieving messages altogether for set periods of time. For instance, you could set your send/receive interval to once every 4 hours. Another trick is to turn on your auto-responder to say something along the lines of “Thanks for your message. In order to focus on my writing, I’m currently only checking email at noon and 6pm. I will get back to you as soon as possible.” Others will pick up on this and email you less often and only about real issues.

Tip 8: Set a visible timer for focused work periods.

I found it much easier to sustain a 45-minute focused session if I knew I had a planned break coming up soon. There are several apps available for setting timers and some that can also mute your notifications while running. If you schedule your breaks (and actually give yourself a break when the timer runs out), you’ll be less likely to want a break at the first sign of frustration.

Tip 9: Build in a short 5-10 minute exercise routine for your breaks.

After a few good hours of focus my biggest hurdle was feeling anxious or restless. Some nights I would decide it was a “workout” night and every 30 minutes or so, I would get on the floor and do a few minutes pushups, crunches, bicycle kicks, leg lifts or planks. After a few minutes of this I’d be tired enough that I would   want   to sit back down and settle in. The big advantage was getting my blood flowing, which can stimulate your brain and give a small energy boost.

Tip 10: Work in an environment around other people who are focused (leverage social pressure).

Do you feel like exercising at high intensity more in an empty gym or one where there are dozens of others giving it their all? For me, it’s the latter. There’s a subconscious social pressure I feel to not stick out as slacking. I found the same effect in the library or coffee shop.

For some ridiculous reason, I felt like people behind me would judge me if I had Facebook up on my screen or was playing a game on my phone.

Even if that judgement was an illusion, I harnessed it to stay on-task. I found this especially helpful after 11pm or so to know that there were others doing the same thing. If all your friends are going out to the bar, do you get FOMO (fear of missing out) more at a coffee shop around others who are studying or staying home in the dark by yourself?

Tip 11: Change scenery regularly until you find your ideal spots.

My favorite part about thesis writing is that   I could work from anywhere . This is a novelty you may never have again in your life, depending on your field. Take advantage of this and find those magical hangouts where you can find your flow and blaze through your work.

In three months of writing, I visited at least eight different coffee shops plus every library on campus.

There were two or three that really worked for me, depending on the time of day. Even after a half-day at one of your favorite spots, it can be reinvigorating to move to another later in the day.

Tip 12: Find your best writing jams and don’t listen to them unless you’re ready to get in the zone.

This is a proven psychological trick. Do you still have a throwback song you associate with middle school or high school sports? Something your team listened to in the locker room to get pumped up? You can manufacture these associations in your brain in a similar way. Find your best playlists, and make sure to pause them while you’re taking breaks or if you find yourself distracted. When the music is on, it’s time to work. Listening to your best playlists while doing other things will dilute the association in your brain, so stay disciplined with this one!

Tip 13: Take a mid-day break with some form of exercise or activity.

The most productive day you can hope for is 10-12 hours of focused effort. If you deprive yourself of breaks early in the day you’re likely to grind to a halt in the evening and lose the equivalent of your would-be break time in procrastination and distraction. Be proactive about scheduling in your down time to elevate your productivity later in the day. For me personally, my best days included several short breaks evenly spread throughout the day plus one mid-day break of ~2 hours. This larger break was usually some combination of exercise, cooking, eating or cleaning. Experiment and find what works best for you!

Tip 14: Set aside 10 minutes in the morning to honestly review what went well and what didn’t work the previous day.

An honest self-assessment will do wonders for improving your methods each day. Approach it like an athlete watching game tape to identify weaknesses. Where did your distractions come from? How did you feel throughout the day?

When was your most productive time and what factors lead to that productivity?

Make changes in your strategy for the upcoming day, and review again the following day to see if it was an improvement.

Tip 15: Add an expected time of completion (ETC) to every item on your to-do list for that day.

This follows Tip #1 to break down projects into tiny discrete and definitely conquerable tasks. Make a reasonable guess of how long each thing should take if it goes smoothly. If you do well and get ahead of schedule, reward yourself with an extra break. If you get behind schedule, you’ll start to feel a sense of urgency that will motivate you to catch up.

The alternative is giving yourself 3 months to complete thousands of micro-tasks, at which point you’ll always feel overwhelmed and unsure of your pace to completion.

Tip 16: Take care of your body.

This is a marathon, not a sprint. Monitor your caffeine intake, your hours of sleep, your periods of exercise and the types of foods you eat. Keep it balanced day-to-day with only the occasional late night push when you're really in the zone. 

Tip 17: Dedicate time to being social!

If you’re writing your thesis you are likely approaching the end of your time at your school. This may be the last few months you have to spend with all of the friends and colleagues you’ve made along your journey. Don’t forget to dedicate a few hours a week to be social and relish in the time you have left to all be together. This is a time of your life you’ll remember forever, so better mix in some great memories!

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• Manuscript Preparation

Know How to Structure Your PhD Thesis

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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.

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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!

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Defending Your Dissertation: A Guide

Written by Luke Wink-Moran | Photo by insta_photos

Dissertation defenses are daunting, and no wonder; it’s not a “dissertation discussion,” or a “dissertation dialogue.” The name alone implies that the dissertation you’ve spent the last x number of years working on is subject to attack. And if you don’t feel trepidation for semantic reasons, you might be nervous because you don’t know what to expect. Our imaginations are great at making The Unknown scarier than reality. The good news is that you’ll find in this newsletter article experts who can shed light on what dissertations defenses are really like, and what you can do to prepare for them.

The first thing you should know is that your defense has already begun. It started the minute you began working on your dissertation— maybe even in some of the classes you took beforehand that helped you formulate your ideas. This, according to Dr. Celeste Atkins, is why it’s so important to identify a good mentor early in graduate school.

“To me,” noted Dr. Atkins, who wrote her dissertation on how sociology faculty from traditionally marginalized backgrounds teach about privilege and inequality, “the most important part of the doctoral journey was finding an advisor who understood and supported what I wanted from my education and who was willing to challenge me and push me, while not delaying me.  I would encourage future PhDs to really take the time to get to know the faculty before choosing an advisor and to make sure that the members of their committee work well together.”

Your advisor will be the one who helps you refine arguments and strengthen your work so that by the time it reaches your dissertation committee, it’s ready. Next comes the writing process, which many students have said was the hardest part of their PhD. I’ve included this section on the writing process because this is where you’ll create all the material you’ll present during your defense, so it’s important to navigate it successfully. The writing process is intellectually grueling, it eats time and energy, and it’s where many students find themselves paddling frantically to avoid languishing in the “All-But-Dissertation” doldrums. The writing process is also likely to encroach on other parts of your life. For instance, Dr. Cynthia Trejo wrote her dissertation on college preparation for Latin American students while caring for a twelve-year-old, two adult children, and her aging parents—in the middle of a pandemic. When I asked Dr. Trejo how she did this, she replied:

“I don’t take the privilege of education for granted. My son knew I got up at 4:00 a.m. every morning, even on weekends, even on holidays; and it’s a blessing that he’s seen that work ethic and that dedication and the end result.”

Importantly, Dr. Trejo also exercised regularly and joined several online writing groups at UArizona. She mobilized her support network— her partner, parents, and even friends from high school to help care for her son.

The challenges you face during the writing process can vary by discipline. Jessika Iwanski is an MD/PhD student who in 2022 defended her dissertation on genetic mutations in sarcomeric proteins that lead to severe, neonatal dilated cardiomyopathy. She described her writing experience as “an intricate process of balancing many things at once with a deadline (defense day) that seems to be creeping up faster and faster— finishing up experiments, drafting the dissertation, preparing your presentation, filling out all the necessary documents for your defense and also, for MD/PhD students, beginning to reintegrate into the clinical world (reviewing your clinical knowledge and skill sets)!”

But no matter what your unique challenges are, writing a dissertation can take a toll on your mental health. Almost every student I spoke with said they saw a therapist and found their sessions enormously helpful. They also looked to the people in their lives for support. Dr. Betsy Labiner, who wrote her dissertation on Interiority, Truth, and Violence in Early Modern Drama, recommended, “Keep your loved ones close! This is so hard – the dissertation lends itself to isolation, especially in the final stages. Plus, a huge number of your family and friends simply won’t understand what you’re going through. But they love you and want to help and are great for getting you out of your head and into a space where you can enjoy life even when you feel like your dissertation is a flaming heap of trash.”

While you might sometimes feel like your dissertation is a flaming heap of trash, remember: a) no it’s not, you brilliant scholar, and b) the best dissertations aren’t necessarily perfect dissertations. According to Dr. Trejo, “The best dissertation is a done dissertation.” So don’t get hung up on perfecting every detail of your work. Think of your dissertation as a long-form assignment that you need to finish in order to move onto the next stage of your career. Many students continue revising after graduation and submit their work for publication or other professional objectives.

When you do finish writing your dissertation, it’s time to schedule your defense and invite friends and family to the part of the exam that’s open to the public. When that moment comes, how do you prepare to present your work and field questions about it?

“I reread my dissertation in full in one sitting,” said Dr. Labiner. “During all my time writing it, I’d never read more than one complete chapter at a time! It was a huge confidence boost to read my work in full and realize that I had produced a compelling, engaging, original argument.”

There are many other ways to prepare: create presentation slides and practice presenting them to friends or alone; think of questions you might be asked and answer them; think about what you want to wear or where you might want to sit (if you’re presenting on Zoom) that might give you a confidence boost. Iwanksi practiced presenting with her mentor and reviewed current papers to anticipate what questions her committee might ask.  If you want to really get in the zone, you can emulate Dr. Labiner and do a full dress rehearsal on Zoom the day before your defense.

But no matter what you do, you’ll still be nervous:

“I had a sense of the logistics, the timing, and so on, but I didn’t really have clear expectations outside of the structure. It was a sort of nebulous three hours in which I expected to be nauseatingly terrified,” recalled Dr. Labiner.

“I expected it to be terrifying, with lots of difficult questions and constructive criticism/comments given,” agreed Iwanski.

“I expected it to be very scary,” said Dr. Trejo.

“I expected it to be like I was on trial, and I’d have to defend myself and prove I deserved a PhD,” said Dr Atkins.

And, eventually, inexorably, it will be time to present.  

“It was actually very enjoyable” said Iwanski. “It was more of a celebration of years of work put into this project—not only by me but by my mentor, colleagues, lab members and collaborators! I felt very supported by all my committee members and, rather than it being a rapid fire of questions, it was more of a scientific discussion amongst colleagues who are passionate about heart disease and muscle biology.”

“I was anxious right when I logged on to the Zoom call for it,” said Dr. Labiner, “but I was blown away by the number of family and friends that showed up to support me. I had invited a lot of people who I didn’t at all think would come, but every single person I invited was there! Having about 40 guests – many of them joining from different states and several from different countries! – made me feel so loved and celebrated that my nerves were steadied very quickly. It also helped me go into ‘teaching mode’ about my work, so it felt like getting to lead a seminar on my most favorite literature.”

“In reality, my dissertation defense was similar to presenting at an academic conference,” said Dr. Atkins. “I went over my research in a practiced and organized way, and I fielded questions from the audience.

“It was a celebration and an important benchmark for me,” said Dr. Trejo. “It was a pretty happy day. Like the punctuation at the end of your sentence: this sentence is done; this journey is done. You can start the next sentence.”

If you want to learn more about dissertations in your own discipline, don’t hesitate to reach out to graduates from your program and ask them about their experiences. If you’d like to avail yourself of some of the resources that helped students in this article while they wrote and defended their dissertations, check out these links:

The Graduate Writing Lab

https://thinktank.arizona.edu/writing-center/graduate-writing-lab

The Writing Skills Improvement Program

https://wsip.arizona.edu

Campus Health Counseling and Psych Services

https://caps.arizona.edu

https://www.scribbr.com/

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Pandemic proved to be a revelatory time for PhD student

Shannon whittaker, phd ’24 (social and behavioral sciences, public health).

If you think writing a dissertation is hard, try doing it during a pandemic.

Shannon Whittaker, who is graduating from the Yale School of Public Health this spring with a PhD in social and behavioral sciences and public health, started her dissertation while COVID-19 had shut down most of the world. She calls it the most revelatory point of her time at YSPH. It was as much a self-revelation as a scholarly one.

“I learned to rely on and trust myself and my instincts, which fostered a sense of self-reliance,” she said.

“I also learned how to compartmentalize research and my personal life,” she added. “Instead of working around the clock, since I was working from home, I treated my PhD like a 9-to-5 job – sometimes a 9-to-2, even – which allowed me to take care of myself mentally while also increasing productivity. Even as the world returns to ‘normal,’ I’ve retained this change to achieve work-life balance.”

Whittaker earned her MPH from Brown University in 2015 after receiving her BA in public health there the previous year. She came to YSPH in 2018, interested in researching the intersection of race, health, and history, and how social, structural, and political processes impact the health of marginalized communities, especially Black communities.

YSPH, she said, has profoundly shaped her development as a scholar. During her time here, she has earned two competitive grants: the National Institutes of Health’s Ruth L. Kirschstein Predoctoral Individual National Research Service Award (a/k/a the F31) , and the Robert Wood Johnson Foundation Health Policy Research Scholars Fellowship . She has also collaborated with researchers from various disciplines on three first-authored published manuscripts.

In addition, Whittaker helps other students acclimate to YSPH as a diversity fellow with the Office of Student Development and Diversity. This is where she said her most significant contribution to YSPH took place: helping create a space for underrepresented students and advocating for them.

“It was here that I learned what type of scholar I wanted to be,” she said. “I came to understand that while the path to impactful science often involves challenges, the privilege of contributing to knowledge production is one I deeply appreciate.”

Whittaker said that every professor she’s had at YSPH has helped shape her, Three in particular stand out. Danya Keene , associate professor of social and behavioral sciences, was Whittaker’s advisor and guided her through the intricacies of research. Trace Kershaw , SBS department chair and Susan Dwight Bliss Professor of Public Health (Social and Behavioral Sciences), “consistently offered unwavering support” in her six years here. Carolyn Roberts , assistant professor of history of medicine and science of medicine, and of African American studies, was a valued mentor. “Her guidance emphasized the importance of exploring beyond the boundaries of my discipline,” Whittaker said.

Whittaker is exploring all the options available to her after graduation, but that journey will begin with a postdoctoral fellowship at the Center for Innovation in Social Science at Boston University. She said she will miss having as much access to “my YSPH family,” but that she’s looking forward to experiencing life “beyond the PhD bubble.”

Whittaker leaves YSPH with one important piece of advice for the students following her: “Resist being molded.”

“Academia takes a one-size-fits all approach, which does not always work because we all exist within our own context,” she said. “Who do you want to be? What kind of research do you want to do? I think before starting a program you should ask yourself those questions and make sure to check in with yourself as often as possible to stay grounded and remain true to who you are. Also, surround yourself with people who will always bring you back to you.”

• Diversity and Inclusion

• Open access
• Published: 08 May 2024

Measurement and analysis of change in research scholars’ knowledge and attitudes toward statistics after PhD coursework

• Mariyamma Philip 1  

BMC Medical Education volume  24 , Article number:  512 ( 2024 ) Cite this article

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Metrics details

Knowledge of statistics is highly important for research scholars, as they are expected to submit a thesis based on original research as part of a PhD program. As statistics play a major role in the analysis and interpretation of scientific data, intensive training at the beginning of a PhD programme is essential. PhD coursework is mandatory in universities and higher education institutes in India. This study aimed to compare the scores of knowledge in statistics and attitudes towards statistics among the research scholars of an institute of medical higher education in South India at different time points of their PhD (i.e., before, soon after and 2–3 years after the coursework) to determine whether intensive training programs such as PhD coursework can change their knowledge or attitudes toward statistics.

One hundred and thirty research scholars who had completed PhD coursework in the last three years were invited by e-mail to be part of the study. Knowledge and attitudes toward statistics before and soon after the coursework were already assessed as part of the coursework module. Knowledge and attitudes towards statistics 2–3 years after the coursework were assessed using Google forms. Participation was voluntary, and informed consent was also sought.

Knowledge and attitude scores improved significantly subsequent to the coursework (i.e., soon after, percentage of change: 77%, 43% respectively). However, there was significant reduction in knowledge and attitude scores 2–3 years after coursework compared to the scores soon after coursework; knowledge and attitude scores have decreased by 10%, 37% respectively.

The study concluded that the coursework program was beneficial for improving research scholars’ knowledge and attitudes toward statistics. A refresher program 2–3 years after the coursework would greatly benefit the research scholars. Statistics educators must be empathetic to understanding scholars’ anxiety and attitudes toward statistics and its influence on learning outcomes.

Peer Review reports

A PhD degree is a research degree, and research scholars submit a thesis based on original research in their chosen field. Doctor of Philosophy (PhD) degrees are awarded in a wide range of academic disciplines, and the PhD students are usually referred as research scholars. A comprehensive understanding of statistics allows research scholars to add rigour to their research. This approach helps them evaluate the current practices and draw informed conclusions from studies that were undertaken to generate their own hypotheses and to design, analyse and interpret complex clinical decisions. Therefore, intensive training at the beginning of the PhD journey is essential, as intensive training in research methodology and statistics in the early stages of research helps scholars design and plan their studies efficiently.

The University Grants Commission of India has taken various initiatives to introduce academic reforms to higher education institutions in India and mandated in 2009 that coursework be treated as a prerequisite for PhD preparation and that a minimum of four credits be assigned to one or more courses on research methodology, which could cover areas such as quantitative methods, computer applications, and research ethics. UGC also clearly states that all candidates admitted to PhD programmes shall be required to complete the prescribed coursework during the initial two semesters [ 1 ]. National Institute of Mental Health and Neurosciences (NIMHANS) at Bangalore, a tertiary care hospital and medical higher education institute in South India, that trains students in higher education in clinical fields, also introduced coursework in the PhD program for research scholars from various backgrounds, such as basic, behavioral and neurosciences, as per the UGC mandate. Research scholars undertake coursework programs soon after admission, which consist of several modules that include research methodology and statistical software training, among others.

Most scholars approach a course in statistics with the prejudice that statistics is uninteresting, demanding, complex or involve much mathematics and, most importantly, it is not relevant to their career goals. They approach statistics with considerable apprehension and negative attitudes, probably because of their inability to grasp the relevance of the application of the methods in their fields of study. This could be resolved by providing sufficient and relevant examples of the application of statistical techniques from various fields of medical research and by providing hands-on experience to learn how these techniques are applied and interpreted on real data. Hence, research methodology and statistical methods and the application of statistical methods using software have been given much importance and are taught as two modules, named Research Methodology and Statistics and Statistical Software Training, at this institute of medical higher education that trains research scholars in fields as diverse as basic, behavioural and neurosciences. Approximately 50% of the coursework curriculum focused on these two modules. Research scholars were thus given an opportunity to understand the theoretical aspects of the research methodology and statistical methods. They were also given hands-on training on statistical software to analyse the data using these methods and to interpret the findings. The coursework program was designed in this specific manner, as this intensive training would enable the research scholars to design their research studies more effectively and analyse their data in a better manner.

It is important to study attitudes toward statistics because attitudes are known to impact the learning process. Also, most importantly, these scholars are expected to utilize the skills in statistics and research methods to design research projects or guide postgraduate students and research scholars in the near future. Several authors have assessed attitudes toward statistics among various students and examined how attitudes affect academic achievement, how attitudes are correlated with knowledge in statistics and how attitudes change after a training program. There are studies on attitudes toward statistics among graduate [ 2 , 3 , 4 ] and postgraduate [ 5 ] medical students, politics, sociology, ( 6 – 7 ) psychology [ 8 , 9 , 10 ], social work [ 11 ], and management students [ 12 ]. However, there is a dearth of related literature on research scholars, and there are only two studies on the attitudes of research scholars. In their study of doctoral students in education-related fields, Cook & Catanzaro (2022) investigated the factors that contribute to statistics anxiety and attitudes toward statistics and how anxiety, attitudes and plans for future research use are connected among doctoral students [ 13 ]. Another study by Sohrabi et al. (2018) on research scholars assessed the change in knowledge and attitude towards teaching and educational design of basic science PhD students at a Medical University after a two-day workshop on empowerment and familiarity with the teaching and learning principles [ 14 ]. There were no studies that assessed changes in the attitudes or knowledge of research scholars across the PhD training period or after intensive training programmes such as PhD coursework. Even though PhD coursework has been established in institutes of higher education in India for more than a decade, there are no published research on the effectiveness of coursework from Indian universities or institutes of higher education.

This study aimed to determine the effectiveness of PhD coursework and whether intensive training programs such as PhD coursework can influence the knowledge and attitudes toward statistics of research scholars. Additionally, it would be interesting to know if the acquired knowledge could be retained longer, especially 2–3 years after the coursework, the crucial time of PhD data analysis. Hence, this study compares the scores of knowledge in statistics and attitude toward statistics of the research scholars at different time points of their PhD training, i.e., before, soon after and 2–3 years after the coursework.

Participants

This is an observational study of single group with repeated assessments. The institute offers a three-month coursework program consisting of seven modules, the first module is ethics; the fifth is research methodology and statistics; and the last is neurosciences. The study was conducted in January 2020. All research scholars of the institute who had completed PhD coursework in the last three years were considered for this study ( n  = 130). Knowledge and attitudes toward statistics before and soon after the coursework module were assessed as part of the coursework program. They were collected on the first and last day of the program respectively. The author who was also the coordinator of the research methodology and statistics module of the coursework have obtained the necessary permission to use the data for this study. The scholars invited to be part of the study by e-mail. Knowledge and attitude towards statistics 2–3 years after the coursework were assessed online using Google forms. They were also administered a semi structured questionnaire to elicit details about the usefulness of coursework. Participation was voluntary, and consent was also sought online. The confidentiality of the data was assured. Data were not collected from research scholars of Biostatistics or from research scholars who had more than a decade of experience or who had been working in the institute as faculty, assuming that their scores could be higher and could bias the findings. This non funded study was reviewed and approved by the Institute Ethics Committee.

Instruments

Knowledge in Statistics was assessed by a questionnaire prepared by the author and was used as part of the coursework evaluation. The survey included 25 questions that assessed the knowledge of statistics on areas such as descriptive statistics, sampling methods, study design, parametric and nonparametric tests and multivariate analyses. Right answers were assigned a score of 1, and wrong answers were assigned a score of 0. Total scores ranged from 0 to 25. Statistics attitudes were assessed by the Survey of Attitudes toward Statistics (SATS) scale. The SATS is a 36-item scale that measures 6 domains of attitudes towards statistics. The possible range of scores for each item is between 1 and 7. The total score was calculated by dividing the summed score by the number of items. Higher scores indicate more positive attitudes. The SAT-36 is a copyrighted scale, and researchers are allowed to use it only with prior permission. ( 15 – 16 ) The author obtained permission for use in the coursework evaluation and this study. A semi structured questionnaire was also used to elicit details about the usefulness of coursework.

Statistical analysis

Descriptive statistics such as mean, standard deviation, number and percentages were used to describe the socio-demographic data. General Linear Model Repeated Measures of Analysis of variance was used to compare knowledge and attitude scores across assessments. Categorical data from the semi structured questionnaire are presented as percentages. All the statistical tests were two-tailed, and a p value < 0.05 was set a priori as the threshold for statistical significance. IBM SPSS (28.0) was used to analyse the data.

One hundred and thirty research scholars who had completed coursework (CW) in the last 2–3 years were considered for the study. These scholars were sent Google forms to assess their knowledge and attitudes 2–3 years after coursework. 81 scholars responded (62%), and 4 scholars did not consent to participate in the study. The data of 77 scholars were merged with the data obtained during the coursework program (before and soon after CW). Socio-demographic characteristics of the scholars are presented in Table  1 .

The age of the respondents ranged from 23 to 36 years, with an average of 28.7 years (3.01), and the majority of the respondents were females (65%). Years of experience (i.e., after masters) before joining a PhD programme ranged from 0.5 to 9 years, and half of them had less than three years of experience before joining the PhD programme (median-3). More than half of those who responded were research scholars from the behavioural sciences (55%), while approximately 30% were from the basic sciences (29%).

General Linear Model Repeated Measures of Analysis of variance was used to compare the knowledge and attitude scores of scholars before, soon after and 2–3 after the coursework (will now be referred as “later the CW”), and the results are presented below (Table  2 ; Fig.  1 ).

Comparison of knowledge and attitude scores across the assessments. Later the CW – 2–3 years after the coursework

The scores for knowledge and attitude differed significantly across time. Scores of knowledge and attitude increased soon after the coursework; the percentage of change was 77% and 43% respectively. However, significant reductions in knowledge and attitude scores were observed 2–3 years after the coursework compared to scores soon after the coursework. The reduction was higher for attitude scores; knowledge and attitude scores have decreased by 10% and 37% respectively. The change in scores across assessments is evident from the graph, and clearly the effect size is higher for attitude than knowledge.

The scores of knowledge or attitude before the coursework did not significantly differ with respect to gender or age or were not correlated with years of experience. Hence, they were not considered as covariates in the above analysis.

A semi structured questionnaire with open ended questions was also administered to elicit in-depth information about the usefulness of the coursework programme, in which they were also asked to self- rate their knowledge. The data were mostly categorical or narratives. Research scholars’ self-rated knowledge scores (on a scale of 0–10) also showed similar changes; knowledge improved significantly and was retained even after the training (Fig.  2 ).

Self-rated knowledge scores of research scholars over time. Later the CW – 2–3 years after the coursework

The response to the question “ How has coursework changed your attitude toward statistics?”, is presented in Fig.  3 . The responses were Yes, positively, Yes - Negatively, No change – still apprehensive, No change – still appreciate, No change – still hate statistics. The majority of the scholars (70%) reported a positive change in their attitude toward statistics. Moreover, none of the scholars reported negative changes. Approximately 9% of the scholars reported that they were still apprehensive about statistics or hate statistics after the coursework.

How has coursework changed your attitude toward statistics?

Those scholars who reported that they were apprehensive about statistics or hate statistics noted the complexity of the subject, lack of clarity, improper instructions and fear of mathematics as major reasons for their attitude. Some responses are listed below.

“The statistical concepts were not taught in an understandable manner from the UG level” , “I am weak in mathematical concepts. The equations and formulae in statistics scare me”. “Lack of knowledge about the importance of statistics and fear of mathematical equations”. “The preconceived notion that Statistics is difficult to learn” . “In most of the places, it is not taught properly and conceptual clarity is not focused on, and because of this an avoidance builds up, which might be a reason for the negative attitude”.

Majority of the scholars (92%) felt that coursework has helped them in their PhD, and they were happy to recommend it for other research scholars (97%). The responses of the scholars to the question “ How was coursework helpful in your PhD journey ?”, are listed below.

“Course work gave a fair idea on various things related to research as well as statistics” . “Creating the best design while planning methodology, which is learnt form course work, will increase efficiency in completing the thesis, thereby making it faster”. “Course work give better idea of how to proceed in many areas like literature search, referencing, choosing statistical methods, and learning about research procedures”. “Course work gave a good idea of research methodology, biostatistics and ethics. This would help in writing a better protocol and a better thesis”. “It helps us to plan our research well and to formulate, collect and plan for analysis”. “It makes people to plan their statistical analysis well in advance” .

This study evaluated the effectiveness of the existing coursework programme in an institution of higher medical education, and investigated whether the coursework programme benefits research scholars by improving their knowledge of statistics and attitudes towards statistics. The study concluded that the coursework program was beneficial for improving scholars’ knowledge about statistics and attitudes toward statistics.

Unlike other studies that have assessed attitudes toward statistics, the study participants in this study were research scholars. Research scholars need extensive training in statistics, as they need to apply statistical tests and use statistical reasoning in their research thesis, and in their profession to design research projects or their future student dissertations. Notably, no studies have assessed the attitudes or knowledge of research scholars in statistics either across the PhD training period or after intensive statistics training programs. However, the findings of this study are consistent with the findings of a study that compared the knowledge and attitudes toward teaching and education design of PhD students after a two-day educational course and instructional design workshop [ 14 ].

Statistics educators need not only impart knowledge but they should also motivate the learners to appreciate the role of statistics and to continue to learn the quantitative skills that is needed in their professional lives. Therefore, the role of learners’ attitudes toward statistics requires special attention. Since PhD coursework is possibly a major contributor to creating a statistically literate research community, scholars’ attitudes toward statistics need to be considered important and given special attention. Passionate and engaging statistics educators who have adequate experience in illustrating relatable examples could help scholars feel less anxious and build competence and better attitudes toward statistics. Statistics educators should be aware of scholars’ anxiety, fears and attitudes toward statistics and about its influence on learning outcomes and further interest in the subject.

Strengths and limitations

Analysis of changes in knowledge and attitudes scores across various time points of PhD training is the major strength of the study. Additionally, this study evaluates the effectiveness of intensive statistical courses for research scholars in terms of changes in knowledge and attitudes. This study has its own limitations: the data were collected through online platforms, and the nonresponse rate was about 38%. Ability in mathematics or prior learning experience in statistics, interest in the subject, statistics anxiety or performance in coursework were not assessed; hence, their influence could not be studied. The reliability and validity of the knowledge questionnaire have not been established at the time of this study. However, author who had prepared the questionnaire had ensured questions from different areas of statistics that were covered during the coursework, it has also been used as part of the coursework evaluation. Despite these limitations, this study highlights the changes in attitudes and knowledge following an intensive training program. Future research could investigate the roles of age, sex, mathematical ability, achievement or performance outcomes and statistics anxiety.

The study concluded that a rigorous and intensive training program such as PhD coursework was beneficial for improving knowledge about statistics and attitudes toward statistics. However, the significant reduction in attitude and knowledge scores after 2–3 years of coursework indicates that a refresher program might be helpful for research scholars as they approach the analysis stage of their thesis. Statistics educators must develop innovative methods to teach research scholars from nonstatistical backgrounds. They also must be empathetic to understanding scholars’ anxiety, fears and attitudes toward statistics and to understand its influence on learning outcomes and further interest in the subject.

Data availability

The data that support the findings of this study are available from the corresponding author upon request.

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Acknowledgements

The author would like to thank the participants of the study and peers and experts who examined the content of the questionnaire for their time and effort.

This research did not receive any grants from funding agencies in the public, commercial, or not-for-profit sectors.

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This study used data already collected data (before and soon after coursework). The data pertaining to knowledge and attitude towards statistics 2–3 years after coursework were collected from research scholars through the online survey platform Google forms. The participants were invited to participate in the survey through e-mail. The study was explained in detail, and participation in the study was completely voluntary. Informed consent was obtained online in the form of a statement of consent. The confidentiality of the data was assured, even though identifiable personal information was not collected. This non-funded study was reviewed and approved by NIMHANS Institute Ethics Committee (No. NIMHANS/21st IEC (BS&NS Div.)

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Philip, M. Measurement and analysis of change in research scholars’ knowledge and attitudes toward statistics after PhD coursework. BMC Med Educ 24 , 512 (2024). https://doi.org/10.1186/s12909-024-05487-y

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Two Penn Ph.D. candidates awarded 2024 Newcombe Doctoral Dissertation Fellowship

The school of arts & sciences awardees are arielle xena alterwaite, who is pursuing a ph.d. in history, and katherine scahill, who is pursuing a ph.d. in music..

Two University of Pennsylvania Ph.D. candidates in the School of Arts & Sciences have been named to the 2024 class of the Charlotte W. Newcombe Doctoral Dissertation Fellowship , administered by the Institute for Citizens & Scholars .

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Scahill’s dissertation, “The gendered politics of religious authority in Thai Buddhism: Voice, embodiment, and sonic efficacy in the movement for female monastic ordination,” is based upon ethnographic fieldwork with three communities of female Buddhist monks (bhikkhunīs) in Thailand. Drawing on the fields of religious studies and music studies, her dissertation investigates the sonic practices bhikkhunīs employ to establish alternate channels of recognition, given that women’s ordination is not accepted at a national level.

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Timothy Rommen, chair of the music department, says he’s unsurprised that Scahill’s “excellent” work continues to be recognized. 

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March 19, 2024

Congratulations Dr. Warner!

On March 12, 2024, Elisa Warner defended her dissertation titled "Advancing Clinical Outcome Prediction through Innovative Multimodal and Domain-Generalized AI that Accommodates Limited Data." Her mentor was Arvind Rao, PhD, an associate professor in DCMB and in Radiation Oncology.

Warner's main research topic is about multimodal and multidomain AI for clinical decision support under the constraints of limited data. Clinical decision support systems are computer-based systems developed with the goal of assisting health care providers in arduous clinical tasks or improving decision-making. In routine clinical care, medical practices tend to be dynamic and must account for diversity of data. In this dissertation, Warner focused on developing innovative multimodal and multidomain AI models for clinical decision support, with an emphasis on applications with limited data availability. Her research addressed questions regarding constructing machine-learning-based models that mimic real-world mental models and bridge domain gaps in cases of limited data. She presented three case studies as examples of informed models that accommodate diverse data types, as real-world clinical practice is intrinsically multimodal and multidomain. The intent is that these models provide inspiration for additional models outside of the provided use cases and assert that methodologies can be combined and adapted as needed.

Brief Q&A with Warner:

What does particularly interest you about your research? One thing that really interests me about this work is that in real-world clinical decisions, we understand that health care professionals take in a diverse range of data. However, many models don't account for this diversity and instead rely on single modalities or domains of data such as an image from a single source to arrive at a classification. We also understand that there are limitations to obtaining data, where for example only certain patients can qualify for specialized imaging or lab tests. This means that models developed for real-world clinical settings need to take these limitations into account.

How did you come up with this topic? I joined DCMB with a real interest in translational medicine and clinical decision support models because I believe in the potential of what automated decision support systems can do to improve patient health when done right. Given the projects and data presented to me, I then further tweaked the thesis question to involve workarounds for limited data.

What drew you to U-M computational medicine and bioinformatics in the first place? Of all the bioinformatics programs that I explored during the application process, I found U-M DCMB to be the most developed and diverse. Unlike many bioinformatics programs, DCMB had a solid roster of professors working on clinical decision support and digital medicine, which was a huge factor for my decision. I also find the city of Ann Arbor to be a perfect place for college students to thrive.

What was your most exciting moment during your PhD training? I absolutely loved my conference travels and I was so lucky that Dr. Rao and Dr. Cevidanes were willing to fund that. Visiting Singapore was like meeting a long lost love -- I just fell in love with the city. I was so fortunate to have visited Scotland and Australia on conference travel as well.

What are your career plans and how did your training prepare you for these? I am moving to Austin to pursue a career as a Staff ML Scientist at Visa Inc. Although I'm working on fraud prevention, the challenges with the data are the same kind of challenges I faced here and the targets are similar to the targets I had in my dissertation. The PhD program helped me understand all the diverse problems I can meet working with imperfect data and how to troubleshoot them.

What advice do you have for upcoming students? I believe that every student who has been accepted to the program has what it takes to succeed. I always tell younger students that the only difference between a person who graduates and a person who quits the program is that the person who graduated didn't quit. Everybody here is smart enough.

What do you like to do outside the lab? The things I like the most are making my mom happy because I love her more than anything and spending time with other family and friends. True to my Filipino roots, I also love singing and I use my karaoke machine every day (to my neighbors' dismay). I love going outside and traveling to learn about different kinds of people and cultures. I like going to museums and classical music concerts or musicals. Lastly, I've most recently gotten into crochet and knitting and I'm looking forward to finishing my Gryffindor lion Wooble.

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