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PhD Research Methodology

Jan 23, 2012

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PhD Research Methodology. Outline of Research Process. Phase 1: essential first steps Phase 2: data collection Phase 3: analysis and interpretation. Phase 1. Clarify the issue to be researched and select research method(s).

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Outline of Research Process • Phase 1: essential first steps • Phase 2: data collection • Phase 3: analysis and interpretation

Phase 1 • Clarify the issue to be researched and select research method(s). • Essential because a question that is unclear or too broad cannot be answered. • The research method allows the research to be conducted according to a plan or design.

Phase 1 cont. • Clarifying the question and method enables the researcher to be clearer about the data that is needed • Therefore to make a decision about what sample size, or the amount of data, is needed.

Cyborgs: • Interviews : I identified four categories of people to interview: • performers working in the field of cyborg performance art; • disabled people whose bodies had been modified; • scientists making prosthetics; • and the main funders of technological research – the military.

Performers • The first category was relatively easy – I knew people who could put me in touch with these performers, and I quickly secured interviews with two of the leading figures in the field – • Stelarc • Eduardo Kac.

Disabled People • The second category was the most difficult, in many ways, not least because of the ethical dimension of undertaking such interviews. • As it turned out, approaches to the prosthetic department in the university for assistance in identifying potential interviewees went unanswered. • However, one disabled person, Ju Gosling, author of the website “My Not So Secret Life as a Cyborg”, attending a Performance Research conference and giving a paper about her experiences, gladly agreed to give me an interview, and from her experience and awareness of the issues gave me probably a far more insightful interview than I might otherwise have been able to achieve.

Scientists • For the third category I simply made a search on the internet. • Most of the cutting edge prostheticians seemed to be based in the US. • Of particular interest were the very small number of neuro-prostheticians, and the celebrated Utah Array – a tiny chipset that, once implanted in the brain, can both read and transmit signals between brain and computer. • Fascinated, I wrote to its inventor, Professor Richard Norman, in Salt Lake City, and he agreed to give me an interview.

The Military • None of the other scientists I approached was able to grant me an interview at the time but one of them wrote to me to tell me about the forthcoming conference, in Washington DC, run by the US Department of Defence, entitled “Exoskeletons for Human Performance Augmentation.” • This would be perfect for the fourth category. • Having read Ballard’s “Crash” (Ballard 1995) I was already interested in how the car forms an inorganic skin to a specific and very modern role played out by huge numbers of us in the west every time we sit behind the wheel. How much more so would the inorganic skin of a military exoskeleton – a high tech suit of armour - make its impact upon our personalities!?

Phase 2 • Collecting the data • surveys, interviews, literature review, participant observation, etc….. • I undertook the interviews I had arranged, recording them, then transcribing the recordings • I attended the EHPA conference and made copious notes throughout • Summarising and organising the data • Excerpts from and summaries of transcripts • Thoughts arising from notes on conference

Phase 3 • Analysis, interpretation • Relating the data to the research question • Drawing conclusions • Assessing the limitations of the study

Reporting and Writing up • Writing up occurs after the research is done • Not everything that is done is reported • Have to leave some stuff out!! • The research report summarises the activities in such a way that they are clear to the reader, and so the reader could repeat the research.

A Research Report • A Research Report should generally include: • Statement of problem • review of relevant literature • statement of hypothesis or research objectives • description of research design • selection and operationalization of variables • description of sample selection procedure • description of how data was collected • data presented and summarised in words • conclusion, limitations, and implications • bibliography or references cited • appendices

Cyborgs Research Report • The Cyborgs Research Report included: • Statement of problem • statement of research objectives • description of research design • description of how data was collected • review of relevant literature • collected data, presented and summarised in words • conclusion, limitations, and implications • bibliography and references cited • appendices - the interview transcripts and the complete notes from the EHPA conference

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Research Tips and Infromation

Ph.D. Proposal Presentation Template

A Ph.D. proposal presentation template is a pre-designed set of slides that can be used as a starting point for creating a presentation for your Ph.D. proposal Registration. It includes a series of suggested slides, which you can customize to your specific needs. This template can be used by Ph.D. candidates from various fields who are preparing for their Ph.D. registration.

Slide 1: Title Slide

• Title of the work
• Candidate’s name and affiliation
• Supervisor’s name and affiliation

Slide 2: Introduction

• Briefly introduce the topic
• Explain why the topic is important and relevant
• Provide a brief overview of what the presentation will cover

Slide 3: Literature Review

• Summarize the key findings of relevant literature
• Identify gaps and limitations in the existing research
• Explain how your work will contribute to filling these gaps

Slide 4: Motivation and Research Problem

• Explain the motivation behind your work
• Clearly state the research problem you are addressing

Slide 5: Research Question and Objectives

• State your research question
• Clearly articulate your research objectives

Slide 6: Study Design and Methods

• Explain your study design and why you chose it
• Describe your data collection methods and measures

Slide 7: Predicted Outcomes

• Present your predicted outcomes if everything goes according to plan
• Explain how these outcomes will contribute to the field

Slide 8: Resources

• Identify the resources you will need to complete your work
• Explain how you will obtain these resources

Slide 9: Societal Impact

• Describe the potential societal impact of your work
• Explain how your work will benefit society

Slide 10: Gantt Chart

• Present a Gantt chart representing the timetable of the activities planned
• Explain how you will manage your time to complete your work on schedule

Slide 11: Potential Challenges

• Identify potential challenges you may encounter during your research
• Explain how you plan to address these challenges

Slide 12: Conclusion

• Summarize the key points of your presentation
• Conclude by emphasizing the significance of your work and its potential impact

Slide 13: Questions

• Encourage the audience to ask questions
• Thank the audience for their attention

Remember to keep your presentation simple, well-structured, and effective. Use clear and concise language, and make sure your presentation is visually engaging. Good luck with your PhD proposal presentation!

• Title of the work: “A Comparative Study of Deep Learning Techniques for Image Recognition in Medical Imaging”
• Candidate’s name and affiliation: Sarah Johnson, Department of Computer Science, University of ABC
• Supervisor’s name and affiliation: Dr. Robert Lee, Department of Computer Science, University of ABC

In this slide, you have to include the title of your work, your name and affiliation as the PhD candidate, and your supervisor’s name and affiliation. The title should be concise and descriptive, conveying the essence of your research.

• Briefly introduce the topic: Deep Learning Techniques for Image Recognition in Medical Imaging
• Explain why the topic is important and relevant: Accurate and efficient image recognition in medical imaging is crucial for diagnosis, treatment planning, and monitoring of patient progress. However, the current state-of-the-art algorithms still have limitations in handling the complexities of medical images, such as noise, variation in size and shape, and variation in imaging protocols.
• Provide a brief overview of what the presentation will cover: In this presentation, I will introduce my proposed research on a comparative study of deep learning techniques for image recognition in medical imaging. I will briefly cover the literature review, the research problem and goals, the study design, and the expected outcomes of the research.

In this slide, you have to provide an introduction to your research topic, explaining its importance and relevance in the field. The introduction should set the context for your research and explain why it matters.

• Summarize the key findings of relevant literature: Previous research has shown that deep learning techniques, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs), have achieved state-of-the-art results in various image recognition tasks, including medical image recognition. However, the performance of these techniques can be affected by factors such as the size and complexity of the dataset, the selection of hyperparameters, and the choice of architecture.
• Identify gaps and limitations in the existing research: While previous studies have compared the performance of different deep learning techniques for image recognition in general, there is a lack of research that compares and evaluates the performance of these techniques specifically in medical imaging. Additionally, there is a need for research that investigates the effectiveness of transfer learning, data augmentation, and other techniques for improving the performance of deep learning models in medical image recognition tasks.
• Explain how your work will contribute to filling these gaps: The proposed research aims to contribute to filling these gaps by conducting a comparative study of various deep learning techniques for image recognition in medical imaging. The study will also investigate the effectiveness of transfer learning, data augmentation, and other techniques for improving the performance of these techniques in medical image recognition tasks. The results of this study will provide valuable insights into the strengths and limitations of different deep-learning techniques in medical imaging, and help inform the development of more accurate and efficient algorithms in the future.

In this slide, you have to summarize the key findings of relevant literature in your research area, identify gaps and limitations in the existing research, and explain how your work will contribute to filling these gaps.

In this format, the information is organized into three sections: key findings, gaps and limitations, and contribution of proposed work. Each section is presented as a bullet point, with the main idea in bold, followed by a brief explanation. This format can be useful for presenting information in a clear and concise manner, while still providing enough detail to convey the main points.

In this format, the motivation and research problem are presented as two separate sections, with each section consisting of bullet points. The motivation section explains why the topic is important and why the proposed research is needed, while the research problem section clearly states the specific questions that the research will address. This format can help ensure that the motivation and research problem are clearly articulated and easy to understand.

In this format, the research question and research objectives are presented as two separate sections, with each section consisting of bullet points. The research question clearly states the specific problem that the research will address, while the research objectives explain the specific goals that the research aims to achieve in order to answer the research question. This format can help ensure that the research question and objectives are clearly articulated and easy to understand.

In this format, the study design and data collection methods are presented as two separate sections, with each section consisting of bullet points. The study design section provides an overview of the design of the study, including the specific groups being compared and the methods used to control for confounding factors. The data collection methods section describes the datasets and measures being used, as well as the specific methods being employed to train and test the deep learning models. This format can help ensure that the study design and methods are clearly explained and easy to understand.

In this format, the predicted outcomes are presented as bullet points, along with an explanation of how they will contribute to the field. The predicted outcomes are based on the study design and methods described in previous slides and can help to demonstrate the potential impact of the proposed research.

This slide presents the resources needed to complete the work, along with an explanation of how these resources will be obtained. This can help to demonstrate that the necessary resources have been identified and that a plan is in place to obtain them.

This slide presents the potential societal impact of the work and how it will benefit society. This can help to demonstrate the broader implications and significance of the research.

Gnatt chart representing the timetable of the activities planned

You have to create a Gantt chart to represent the activities that are planned for completing this research work within the given time frame. The time frame can change depending on the Univesity’s stipulated guidelines for full-time and part-time Ph.D. programs.

The chart is divided into five different stages, which are:

• Completion of the Course Work: You need to complete the coursework papers as per University Guidelines. This stage is expected to take 12 months.
• Literature review: In this stage, we will review and analyze the existing literature to identify gaps and limitations in the research. This stage is expected to take 06 months.
• Data collection: In this stage, we will collect the required data by conducting experiments and surveys. This stage is expected to take 06 months.
• Data analysis: In this stage, we will analyze the collected data to draw meaningful insights and conclusions. This stage is expected to take 3 months.
• Model development: In this stage, we will develop the proposed model and implement it. This stage is expected to take 12 months.
• Results and Analysis: In this stage, we will gather the results from various dimensions of the proposed model and analyze them. This stage is expected to take 03 months.
• Writing and submission: In this stage, we will write and submit the final research report and the thesis. This stage is expected to take 06 months.

You have to allocate appropriate time for each stage to complete the work on schedule. You have to keep track of the progress regularly and make necessary adjustments to the plan to ensure the timely completion of the research work.

In this section, you have to discuss some potential challenges which you may encounter during your research and how you plan to address them.

Potential Challenges:

• Access to data: Since we are planning to collect data from several sources, it may be challenging to obtain access to all the necessary data.
• Time constraints: We have a strict timeline to follow, and any delays could affect the overall success of the project.
• Technical difficulties: There is always a risk of encountering technical difficulties during data collection or analysis.

Addressing the Challenges:

• Data access: We will communicate with the relevant authorities and request access to the data needed for our research. We will also explore alternative sources of data if necessary.
• Time constraints: We will break down our research into smaller, more manageable tasks and allocate sufficient time for each. We will also build in extra time in case of unexpected delays.
• Technical difficulties: We will test our data collection and analysis tools thoroughly beforehand to minimize the risk of technical difficulties. We will also have contingency plans in place in case of any issues that may arise.

By identifying potential challenges and having a plan in place to address them, you can ensure that your research progresses smoothly and efficiently.

In conclusion, this presentation has outlined a research proposal for a comparative study of deep learning techniques for image recognition in medical imaging. The key points covered in this presentation are:

• The importance of developing accurate and efficient image recognition techniques for medical imaging, which can assist in the diagnosis and treatment of various medical conditions
• A review of the relevant literature in this field has identified the need for further research to compare the performance of different deep-learning techniques for image recognition in medical imaging
• The research problem, objectives, and research question, aim to address this need by comparing the performance of different deep-learning techniques for image recognition in medical imaging
• The study design and methods, which will involve collecting and analyzing medical imaging data using various deep-learning techniques
• The predicted outcomes of the study, which could contribute to improving the accuracy and efficiency of image recognition in medical imaging
• The resources required to complete the study, including access to medical imaging data and computational resources
• The potential societal impact of the study, which could benefit patients and healthcare providers by improving the accuracy and efficiency of medical imaging
• The timetable of activities, which has been represented in a Gantt chart to ensure that the study is completed on schedule
• The potential challenges that may be encountered during the research, and the strategies that will be used to address these challenges.

Overall, this research proposal has the potential to contribute to the field of medical imaging by providing valuable insights into the performance of different deep-learning techniques for image recognition. By improving the accuracy and efficiency of image recognition in medical imaging, this research could ultimately benefit patients and healthcare providers.

Download the PhD Proposal Presentation Template here:

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Education Standards

Radford university.

Learning Domain: Social Work

Standard: Basic Research Methodology

Lesson 10: Sampling in Qualitative Research

Lesson 11: qualitative measurement & rigor, lesson 12: qualitative design & data gathering, lesson 1: introduction to research, lesson 2: getting started with your research project, lesson 3: critical information literacy, lesson 4: paradigm, theory, and causality, lesson 5: research questions, lesson 6: ethics, lesson 7: measurement in quantitative research, lesson 8: sampling in quantitative research, lesson 9: quantitative research designs, powerpoint slides: sowk 621.01: research i: basic research methodology.

The twelve lessons for SOWK 621.01: Research I: Basic Research Methodology as previously taught by Dr. Matthew DeCarlo at Radford University. Dr. DeCarlo and his team developed a complete package of materials that includes a textbook, ancillary materials, and a student workbook as part of a VIVA Open Course Grant.

The PowerPoint slides associated with the twelve lessons of the course, SOWK 621.01: Research I: Basic Research Methodology, as previously taught by Dr. Matthew DeCarlo at Radford University. 

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Slides for a brief presentation at a PhD Interview

I am soon attending a PhD Interview (Condensed matter Theory). The interview is divided in two steps: a first interview with a selection comitee, where I have to prepeare a presentation 6 minutes long, and a second, 1.30 hours long interview with possible PIs.

The short (6' - 5 slides) presentation is supposed to deal with:

• Academic Background
• Previous Research Experience
• Presentation of Master Project/Thesis
• Motivations for this application
• Career goals in your future

Slides are explicitly required.

My questions are:

• I do not feel confident prepearing a slide on "Motivations for pursuing a PhD" or even future goals. I have very strong reasons, but writing those down seem... childish/stupid to me. Should I just not make slides about those things, but nevertheless talk about them? (The field use a very flexible framework that can be applied to many other problems. This means that even if I focus on one problem I can always talk about much more... I was a RA for the last 6 months and lived with other PhD students, so I know a bit already what it is like...)
• I want to do 1 slide on my B.Sc. Thesis and one on my M.Sc. thesis. Of course I will be briefly presenting the kind of work I did, and tools I used, but what should I put along a short list in the slide? The fancy graphic from my thesis that I'll have no time to explain? The hamiltonian that I was studying? Or a nice drawing giving a divulgative, simplistic picture of the process I was studying? Or make them smaller and all of those 3? (they would fit)

About 2.: Since I will have almost no time to explain much about the details of my previous work, intuition tells me I would be better dropping drawings/graphs out. Yet, since I am trying to "sell myself" to the comitee, those things might be fancy and nice to add.

Any suggestion would be very welcome.

• 1 The presentation is a chance to make a personal connection. Don't fill it up with details that can easily be read from your application/CV. Personally I think your motivations and career goals are the most important to this. This is your chance to show your passion and dedication. –  user24098 Commented May 16, 2016 at 11:49
• If asked for specific things by people who can do something for you, provide those specific things in a way that makes them identifiable as such. You were given five slide headings; use them! –  Bob Brown Commented May 16, 2016 at 14:42

1) Remember working on a PhD is a commitment and there will be times when you will want to give up so the question is "What will keep you going?"

Motivation is a key factor in whether or not we stick to a task. This is the reason why they are asking you for this slide in particular. As an interviewer, I would like to know first if your motivation is intrinsic or extrinsic and then what specifically moves you to progress through a task or pursue this field.

2) Presenting in front of an audience when "something is at stake" can be nerve-racking. Your slides should be a way to quickly remind you what you need to discuss in case you block out. However, for the viewer the slides must be engaging and informative but not overwhelming. Even your thesis slides don't need to be overly technical because the interviewers are interested in whether you can present your findings to both technical and non-technical audiences, alike. I would recommend providing a high level overview first sprinkled with some technical terms but no details then as time permits elaborate increasing the technical level and vocabulary as you progress.

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PhD Dissertation Defense Slides Design: Example slides

• Tips for designing the slides
• Presentation checklist
• Example slides
• Additional Resources

Acknowledgments

Thank all ph.d.s for sharing their presentations. if you are interested in sharing your slides, please contact julie chen ([email protected])., civil and environmental engineering.

• Carl Malings (2017)
• Irem Velibeyoglu (2018)
• Chelsea Kolb (2018)
• I. Daniel Posen (2016)
• Kerim Dickson (2018)
• Lauren M. Cook (2018)
• Xiaoju Chen (2017)
• Wei Ma (2019)
• Miranda Gorman (2019)
• Tim Bartholomew (2019)
• << Previous: Presentation checklist
• Next: Additional Resources >>
• Last Updated: Jan 9, 2024 11:18 AM
• URL: https://guides.library.cmu.edu/c.php?g=883178

• The PhD Journey - Stages of a Doctoral Degree

The PhD Journey

Written by Mark Bennett

A PhD typically involves between three and four years of full-time study, culminating in a thesis which makes an original contribution to your field.

The process of getting a PhD is made up of quite a few components and milestones, from the literature review and writing up your dissertation right through to the viva examination at the end.

This section is a guide on how to do a PhD, providing in-depth advice and information on some of the main challenges and opportunities you’ll meet along the way!.

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7 stages of the PhD journey

A PhD has a few landmark milestones along the way. The three to four year you'll spend doing a PhD can be divided into these seven stages.

• Preparing a research proposal
• Carrying out a literature review
• Conducting research and collecting results
• Completing the MPhil to PhD upgrade
• Participating in PhD teaching, conferences and publications
• Writing your thesis
• Defending your PhD results at a viva voce

We've expanded on what you can expect from each stage below.

1. Preparing a research proposal

Strictly speaking, your research proposal isn’t part of your PhD. Instead it’s normally part of the PhD application process.

The research proposal sets out the aims and objectives for your PhD: the original topic you plan to study and / or the questions you’ll set out to answer.

It also explains why your work is worthwhile and why it fits with the expertise and objectives of your university.

Finally, a PhD proposal explains how you plan to go about completing your doctorate. This involves identifying the existing scholarship your work will be in dialogue with and the methods you plan to use in your research.

All of this means that, even though the proposal precedes the PhD itself, it plays a vital role in shaping your project and signposting the work you’ll be doing over the next three or more years.

2. Carrying out a literature review

The literature review is normally the first thing you’ll tackle after beginning your PhD and having an initial meeting with your supervisor.

It’s a thorough survey of work in your field (the current scholarly ‘literature’) that relates to your project or to related topics.

Your supervisor will offer some advice and direction, after which you’ll identify, examine and evaluate existing data and scholarship.

In most cases the literature review will actually form part of your final PhD dissertation – usually setting up the context for the project, before you begin to explain and demonstrate your own thesis.

Sometimes a literature review can also be evaluated as part of your MPhil upgrade .

Research vs scholarship

Research and scholarship are both important parts of a PhD. But they aren't the same thing - and it's helpful to know the difference. Research is the original work you produce with your thesis. Scholarship is the expert understanding of your subject area that enables you to conduct valuable research.

3. Conducting research and collecting results

Once you’ve carried out your literature review, you’ll move from scholarship to research .

This doesn’t mean you’ll never read another academic article or consult someone else’s data again. Far from it. You’ll stay up to date with any new developments in your field and incorporate these into your literature review as necessary.

But, from here on in, your primary focus in your PhD process is going to be investigating your own research question. This means carrying out organised research and producing results upon which to base your conclusions.

Types of PhD research

The research process and the type of results you collect will depend upon your subject area:

• In Science, Technology, Engineering and Mathematics (STEM) subjects you’ll focus on designing experiments, before recording and analysing their outcomes. This often means assembling and managing complex numerical datasets – sometimes in collaboration with the rest of your laboratory or workshop.
• In Social Science subjects you’ll be more focussed on designing surveys or conducting case studies. These will produce quantitative or qualitative data, depending on the nature of your work.
• In Arts and Humanities subjects you’ll often have less raw data, but that doesn’t mean you won’t be working with ‘hard’ factual information. You’ll analyse texts, sources and other materials according to an accepted methodology and reflect upon the significance of your findings.

Whatever subject you’re in, this research work will account for the greater part of your PhD results. You’ll have regular meetings with your supervisor, but the day-to-day management of your project and its progress will be your own responsibility.

In some fields it’s common to begin writing up your findings as you collect them, developing your thesis and completing the accompanying dissertation chapter-by-chapter. In other cases you’ll wait until you have a full dataset before reviewing and recording your conclusions.

4. Completing an MPhil to PhD upgrade

At UK universities it’s common to register new PhD students for an MPhil before ‘ upgrading ’ them to ‘full’ doctoral candidates. This usually takes place after one year of full-time study (or its part-time equivalent).

Forcing you to register for a ‘lesser’ degree may seem strange, but it’s actually an important part of the training and development a PhD offers:

• As an MPhil student you’re able to comprehend your field and produce new research.
• As a PhD student you’re able to go that crucial step further and produce the significant original contribution to knowledge that defines a doctorate.

The MPhil upgrade is when you take the step from the former to the latter.

The MPhil upgrade exam

Upgrading from MPhil to PhD registration usually involves a form of oral exam – similar to the viva voce that concludes a PhD. But, unlike a full viva, the MPhil upgrade is less formal and only covers part of your thesis.

In most cases you’ll submit a small amount of the material you’ve produced so far. This could be a draft of your first chapter (or part of it) and / or your literature review. You could also be asked to reflect on your progress in general.

You’ll then sit down with your supervisor and someone else from your department (familiar with your field, but unrelated to your project). They’ll offer feedback on the quality of your work and ask questions about your findings.

The aim of the process won’t be to examine your drafts so much as to confirm that your project has the potential to justify a PhD – and that you’re on track to complete it on time.

‘Failing’ a PhD upgrade is actually quite rare. Your university may ask you to repeat the procedure if they are concerned that you haven’t made sufficient progress or established a viable plan for the rest of your project.

What is an MPhil?

The MPhil (Master of Philosophy) is also a research degree, but its scope is more limited than a PhD (Doctor of Philosophy). And no, just like a PhD, an MPhil isn’t necessarily a Philosophy qualification. Our guide covers all you need to know about the difference between a MPhil and PhD .

5. PhD teaching, conferences and publications

During the PhD process, you’ll have lots of opportunities to take part in extra-curricular activities, such as teaching, academic conferences and publications.

Although it isn’t usually compulsory to participate in these, they can be an incredibly rewarding experience and will look great on your CV.

Teaching during a PhD normally involves hosting undergraduate seminars or supervising students in the lab, as well as marking work and providing feedback.

Academic conferences are an excellent way to network with like-minded colleagues and find out the latest developments in your field. You might even be able to present your own work to your peers at one of these events.

Publishing during a PhD will help you increase your academic profile, as well as give you experience of the peer review process. It’s not normally a requisite of your PhD, but publications will certainly help if you plan on applying for postdoc positions.

6. Writing your thesis

As the culmination of three or more years of hard work, the thesis (or dissertation) is the most important part of the procedure to get your PhD, presenting you with the opportunity to make an original scholarly contribution to your discipline.

Our guide to writing your thesis covers everything you need to know about this lengthy research project, from structure and word count to writing up and submission.

We’ve also written a guide to the PhD dissertation abstract , which is an important part of any thesis.

7. Defending your PhD results at a viva voce

Unlike other degrees, a PhD isn’t normally marked as a piece of written work. Instead your dissertation will be submitted for an oral examination known as a viva voce (Latin for ‘living voice’).

This is a formal procedure, during which you ‘defend’ your thesis in front of appointed examiners, each of whom will have read your dissertation thoroughly in advance.

Examiners at a viva voce

A PhD is normally examined by two academic experts:

• One will be an internal examiner, usually appointed from elsewhere in your faculty and department. They won’t be directly associated with your project, but will have sufficient expertise to assess your findings.
• The other will be an external examiner. They will be a recognised expert in the area you are researching, with a record of relevant research and publication. Most universities in the UK allow you to invite an external examiner of your choice, provided there is no existing conflict of interest.

Your supervisor will help you prepare for the viva and will offer advice on choosing an external examiner. However, they will not normally be present during the examination.

The PhD timeline

Ready to take the next step?

There's lots more information about how to get a PhD in our advice section . Or, if you're ready to start looking at different projects, why not check out one of the thousands of current PhD opportunities in our database?

Not sure how PhD study will differ from a Masters? In this guide, we take a look at how the two qualifications compare, including applications, course structure, assessment and more.

Every student will need to write an abstract for their PhD dissertation. Here's everything you need to know about what an academic abstract is and how to write one.

What can you expect from a PhD? What's life actually like as a postgraduate student? Read our guides to the doctoral research experience.

The viva voce is the final oral exam at the end of a PhD degree. Our guide explains the usual viva format, covers common questions and explains how to prepare.

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Ph.D. Coursework: Advice to My Younger Self

By  Natascha Chtena

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Natascha Chtena is a PhD student in Information Studies at the University of California, Los Angeles. You can follow her on Twitter @nataschachtena .

Coursework is an essential part of any doctoral program, and it sets the stage for the dissertation phase. How essential it is I’m only realizing now—just when I’m about to be done with it.

As I’m approaching the end of my PhD coursework, I’m finding myself in a “coulda woulda shoulda” situation, reflecting on the many things I could have done differently and, ultimately, better on my road to the written qualifying exams.

What advice I would give to new PhD students (and my younger self)?

Learn how to speed-read. It might take a lot of effort at first, but it will save you time and frustration . New PhD students are treated like experts in “how to be a student.” Knowing how to read is assumed to be part of that. But many of us don’t. I mean, not really. During my first few quarters I was really trying to read everything that was assigned in my classes, until I realized (too late) that the point wasn’t to literally read everything . The point was to familiarize myself with authors and arguments and situate them within broader contexts, and for that I didn’t have to read 500+ pages a week line-by-line. While over the years I’ve become a faster reader, I wish I had invested time and effort in speed reading training at the beginning of my PhD.  

It’s never too early to get started with citation management tools . For the first year at least I took notes all over the place, misplaced some, and lost others. It took me more or less a year to develop a note-taking system that works for me and that is sustainable. It took me another year on top of that to start using citation management software. Looking back, there’s so much information that got lost along the way. Today I keep everything (including notes and annotated PDFs) on Zotero, but I can’t help fantasizing about the repository I would have built if I’d started in my first quarter (yeah, wishful thinking).

There’s no such thing as a useless methods course. There’s no such thing as too many methods courses. Therefore, if given the choice, choose a methods course . When I started out, everyone insisted that as part of my dissertation preparation I take as many methods courses as possible. Familiarity with a breadth of methods was supposed to make me a better researcher and more attractive on the job market, and to open up opportunities for collaborative, interdisciplinary research. I wasn’t sold. And so I largely ignored them, until I realized that methods training is not just about me and my dissertation or the kind of job I want after I graduate. It’s also about developing the ability to understand and critically evaluate other people’s research, ask the right kind of questions at conferences, peer review manuscripts, and offer constructive feedback to my colleagues. And that’s an essential part of being an academic (granted, if that’s what you want).

Research Apprenticeship Courses (RACs) are at least as useful as “regular” classes . As a first-year without a clearly defined research topic or a polished scholarly identity, the idea of joining a RAC (your university might have a slightly different term) or an informal research group terrified me. But as I progressed through the program, I realized how few opportunities there were to present my work and get substantial feedback. In “regular” classes, one is asked to respond to specific readings and to produce assignments that relate to the objectives of a specific course, defined by an instructor (as opposed to the student). In research groups, members have to carve out an academic identity for themselves, which is more challenging, but also, perhaps, more important.

Be selfish. Make course assignments about you. It’s ok. Treating every single assignment as a potential dissertation chapter is, I think, an ambitious plan that only a handful of prospective PhDs realize. But every end-of-term assignment should somehow contribute to your larger project. If you can pilot research projects in your classes towards what you want to do your dissertation on, do it. If you can work on different aspects of the same project in different classes, do it. If you can rework older work to develop something presentable at a conference, do it. If you’re taking a course that feels irrelevant to your work, write a literature review or do an annotated bibliography. If your professor fights you, try (politely) fighting back. Don’t write random analytical papers you will never use or develop further just to please some professor.

Stay open-minded. What you think is useful or relevant will (probably) keep changing for a while. Everyone is, at some point during their PhD, forced to take some class they really don’t want to take. Over the past few years I walked into quite a few classes thinking they would be irrelevant or even useless. But I shouldn’t have been so quick to judge (and I really should have taken better notes!). Sure, there are classes whose value I still have to figure out (and maybe never will), but there are also classes that surprised me and others whose relevance became apparent many months after I delivered that final paper.

Oh, and keep the syllabi on file . They are incredible resources full of cherry-picked readings in areas you will want to revisit, whether for your qualifying exams, articles, dissertation or, further down the line, your own classes.

What advice would you share with students starting out with their PhD coursework? Are there things you wish you had done differently? Share your thoughts in the comments below!

[Photo courtesy of Flickr user tommmmmmmmm and used under a Creative Commons license.]

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A COURSE IN RESEARCH METHODOLOGY 2018.pptx

This teaching paper is an introdcution to the field of research methodology as it enables beginners (students) to understand basic things about research, research techniques , research design and research procedure. The general aim behind this teaching paper is to facilitate the task of students to tackle this complicated field with confidence and ease.It covers a lot of courses and it can be taught to different levels of students: BA, MA and even PHd students.

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Wafae Barkani

Xochitl Ortiz

The authors felt during their several years of teaching experience that students fail to understand the books written on Research Methodology because generally they are written in technical language. Since this course is not taught before the Master’s degree, the students are not familiar with its vocabulary, methodology and course contents. The authors have made an attempt to write it in very non- technical language. It has been attempted that students who try to understand the research methodology through self-learning may also find it easy. The chapters are written with that approach. Even those students who intend to attain high level of knowledge of the research methodology in social sciences will find this book very helpful in understanding the basic concepts before they read any book on research methodology. This book is useful those students who offer the Research Methodology at Post Graduation and M.Phil. Level. This book is also very useful for Ph.D. Course Work examinations.

Anil Jharotia

Research is an important activity of any nation and societies for generating the information to its developments. Robust collection of qualitative information helps in the development of the any nations. Research & Development is an important tool for acquiring new knowledge in any field of human survival. Various type of problems and questions need to use research methodology depend on the rationale of researchers. How to use the research for finding answers of any research questions/problems.

https://www.ijrrjournal.com/IJRR_Vol.6_Issue.3_March2019/Abstract_IJRR0011.html

International Journal of Research & Review (IJRR)

Research methodology is a way to systematically solve the research problem. It may be understood as a science of studying how research is done scientifically. In it we study the various steps that are generally adopted by a researcher in studying his research problem along with the logic behind them. It is necessary for the researcher to know not only the research methods/techniques but also the methodology. Researchers not only need to know how to develop certain indices or tests, how to calculate the mean, the mode, the median or the standard deviation or chi-square, how to apply particular research techniques, but they also need to know which of these methods or techniques, are relevant and which are not, and what would they mean and indicate and why. Researchers also need to understand the assumptions underlying various techniques and they need to know the criteria by which they can decide that certain techniques and procedures will be applicable to certain problems and others will not. All this means that it is necessary for the researcher to design his methodology for his problem as the same may differ from problem to problem.

Scholarly Communication and the Publish or Perish Pressures of Academia A volume in the Advances in Knowledge Acquisition, Transfer, and Management (AKATM) Book Series

Dr. Naresh A . Babariya , Alka V. Gohel

The most important of research methodology in research study it is necessary for a researcher to design a methodology for the problem chosen and systematically solves the problem. Formulation of the research problem is to decide on a broad subject area on which has thorough knowledge and second important responsibility in research is to compare findings, it is literature review plays an extremely important role. The literature review is part of the research process and makes a valuable contribution to almost every operational step. A good research design provides information concerning with the selection of the sample population treatments and controls to be imposed and research work cannot be undertaken without sampling. Collecting the data and create data structure as organizing the data, analyzing the data help of different statistical method, summarizing the analysis, and using these results for making judgments, decisions and predictions. Keywords: Research Problem, Economical Plan, Developing Ideas, Research Strategy, Sampling Design, Theoretical Procedures, Experimental Studies, Numerical Schemes, Statistical Techniques.

Hafizi Saari

Dr. Moses Gweyi

This book is the outcome of more than four decades of experience of the author in teaching and research field. Research is a creative process and the topic of research methodology is complex and varied. The basic premise for writing this book is that research methods can be taught and learnt. The emphasis is on developing a research outlook and a frame of mind for carrying out research. The book presents current methodological techniques used in interdisciplinary research along with illustrated and worked out examples. This book is well equipped with fundamentals of research and research designs. All efforts have been made to present Research, its meaning, intention and usefulness. Focussed in designing of research programme, selection of variables, collection of data and their analysis to interpret the data are discussed extensively. Statistical tools are complemented with examples, making the complicated subject like statistics simplest usable form. The importance of software, like MS Excel, SPSS, for statistical analyses is included. Written in a simple language, it covers all aspects of management of data with details of statistical tools required for analysis in a research work. Complete with a glossary of key terms and guides to further reading, this book is an essential text for anyone coming to research for the first time and is widely relevant across the disciplines of sciences. This book is designed to introduce Masters, and doctoral students to the process of conducting scientific research in the life sciences, social sciences, education, public health, and related scientific disciplines. It conforms to the core syllabus of many universities and institutes. The target audience for this book includes those are going to start research as graduate students, junior researchers, and professors teaching courses on research methods. The book entitled “A guide to Research Methodology for Beginners” is succinct and compact by design focusing only on essential concepts rather than burden students with a voluminous text on top of their assigned readings. The book is structured into the following nine chapters. Chapter-1: What is Scientific Research? Chapter-2: Literature Review Chapter-3: How to develop a Research Questions & Hypotheses Chapter-4: Research Methods and the Research Design Chapter-5: Concept of Variables, Levels and Scales of Measurements for Data collection Chapter-6: Data Analysis, Management and Presentation Chapter-7: Tips for Writing Research Report Chapter-8: Glossary Related to Research Methodology Chapter-9: References It is a comprehensive and compact source for basic concepts in research and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. The target audience for this book includes those are going to start research as graduate students, junior researchers, and professors teaching courses on research methods.

Yuanita Damayanti

Khamis S Moh'd

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