how many research questions should a phd thesis have

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How many research questions is enough for a quality dissertation.

• The Research question is the Primary organizing principle guiding you to analyze further.
• A study should have a minimum of 3 questions and a maximum of 6 queries. Once the research question is determined, the researcher should plan what the method suitable is.
• The research question In a dissertation is entirely relying on the nature of the Topic and the Method It is necessary to have one major question followed by the number of minor queries related to the study.

PhD Dissertation Writing is academic writing based on your research. A thesis is an explanation of the scholarly method. New researchers are expected to do more and better reading and research to talk about their idea. It means that your research should be accurate and novel in its investigation and discussion of a subject. It means that your design will give evidence of critical analysis of the study. There are a lot more new terms and policies to consider before writing the research question. It is difficult for students and new researchers to accept all the criteria and give a quality research question, our experts in PhD Dissertation Writing Help assist you in writing a good research question.

PhD Dissertation Writing Services experts know the importance of the research question to carry out the research. They help you to pinpoint what you find in your research and explain the purpose of the study. The research question is a handy tool for defining what the researcher is trying to tell the readers. Research questions will help you to decide the research area effectively and develop an idea.

PhD Writing Services – Experts in Thesis Help you to write various types of research questions, three common types of research questions are,

• Descriptive: This type of study carries a primary purpose to report what is going on or what is already exists. Public opinion that used only to describe the proportion of people who hold various views are descriptive. To represent the opinion or explain the facts that already exist is a descriptive type research question.
• Relational: This type of study to concentrate on the relationships between two or more variables that exist. It is the comparison of the old version and new updated version and describing by picking the one by explaining their advantages and disadvantages.
• Causal:  Explaining their concept and choosing the thing based on the cause and effect. Why the change happened to study the reason for every problem, causal type research question states the cause and effect of one or more variables.

Steps in writing a research question:

Dissertation writing services expert mentor you to find the topic that interests you and help you in finding a research topic and gives the result that adds purpose to take Quality Dissertation Writing Services.

• Find the general area of interest and choose a topic.
• Do some primary research about the topic to make yourself familiar with the current research on the subject.
• Consider your audience and check whether it is suitable for your audience.
• Brainstorm your ideas and ask a question to yourself by thinking from the audience point of view.
• Search for extensive information about the topic. Gain in-depth knowledge.
• Expert PhD Thesis Writing Service identifies the specific topic of interest and finds the research gaps that need research.
• Begin your research after you come up with a research question.

The research question in the quality outcome:

PhD Dissertation Assistance helps to find question depends on the quality approach. PhD Thesis Writing Help your research to initiate with just one research question, then increases the question when the research development. The more the question need for analysis is more, and it is impossible to manage too many inquiries in a short period.

The research question helps to frame a hypothesis that contributes to research without committing any errors during the study. Research question helps to get an outcome without doing any rework on particular research which is helpful to make a standardized outcome. It is the question that allows the writer to make the audience understand the research. Best Custom Dissertation Writing Service focuses on a single problem that will help to address the issue.

• Doctoral Dissertation Help   you find a novel research question and address the problem relevant to your field.
• The research question you choose that focuses on the issue or problem should be in the format to answer—this knowledge gained by reading scholarly articles and the research work of other researchers.
• The way of question should address the issue, not the opinion of whether the research is good or bad.
• The quality of the dissertation completely depends on the question, so give the research question answerable within the practical constraints.
• Use specific and well-defined meaning for the concept to answer the question.
• The research question should not contain easy facts and figure found on the internet.
• Press books. (2020). The Purpose of Research Questions.
• USC Libraries. (2020). Research Guides.
• William M.K. Trochim. (2020). Types of Research Questions.

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Tips for writing a PhD dissertation: FAQs answered

From how to choose a topic to writing the abstract and managing work-life balance through the years it takes to complete a doctorate, here we collect expert advice to get you through the PhD writing process

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Embarking on a PhD is “probably the most challenging task that a young scholar attempts to do”, write Mark Stephan Felix and Ian Smith in their practical guide to dissertation and thesis writing. After years of reading and research to answer a specific question or proposition, the candidate will submit about 80,000 words that explain their methods and results and demonstrate their unique contribution to knowledge. Here are the answers to frequently asked questions about writing a doctoral thesis or dissertation.

What’s the difference between a dissertation and a thesis?

Whatever the genre of the doctorate, a PhD must offer an original contribution to knowledge. The terms “dissertation” and “thesis” both refer to the long-form piece of work produced at the end of a research project and are often used interchangeably. Which one is used might depend on the country, discipline or university. In the UK, “thesis” is generally used for the work done for a PhD, while a “dissertation” is written for a master’s degree. The US did the same until the 1960s, says Oxbridge Essays, when the convention switched, and references appeared to a “master’s thesis” and “doctoral dissertation”. To complicate matters further, undergraduate long essays are also sometimes referred to as a thesis or dissertation.

The Oxford English Dictionary defines “thesis” as “a dissertation, especially by a candidate for a degree” and “dissertation” as “a detailed discourse on a subject, especially one submitted in partial fulfilment of the requirements of a degree or diploma”.

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The title “doctor of philosophy”, incidentally, comes from the degree’s origins, write Dr Felix, an associate professor at Mahidol University in Thailand, and Dr Smith, retired associate professor of education at the University of Sydney , whose co-authored guide focuses on the social sciences. The PhD was first awarded in the 19th century by the philosophy departments of German universities, which at that time taught science, social science and liberal arts.

How long should a PhD thesis be?

A PhD thesis (or dissertation) is typically 60,000 to 120,000 words ( 100 to 300 pages in length ) organised into chapters, divisions and subdivisions (with roughly 10,000 words per chapter) – from introduction (with clear aims and objectives) to conclusion.

The structure of a dissertation will vary depending on discipline (humanities, social sciences and STEM all have their own conventions), location and institution. Examples and guides to structure proliferate online. The University of Salford , for example, lists: title page, declaration, acknowledgements, abstract, table of contents, lists of figures, tables and abbreviations (where needed), chapters, appendices and references.

A scientific-style thesis will likely need: introduction, literature review, materials and methods, results, discussion, bibliography and references.

As well as checking the overall criteria and expectations of your institution for your research, consult your school handbook for the required length and format (font, layout conventions and so on) for your dissertation.

A PhD takes three to four years to complete; this might extend to six to eight years for a part-time doctorate.

What are the steps for completing a PhD?

Before you get started in earnest , you’ll likely have found a potential supervisor, who will guide your PhD journey, and done a research proposal (which outlines what you plan to research and how) as part of your application, as well as a literature review of existing scholarship in the field, which may form part of your final submission.

In the UK, PhD candidates undertake original research and write the results in a thesis or dissertation, says author and vlogger Simon Clark , who posted videos to YouTube throughout his own PhD journey . Then they submit the thesis in hard copy and attend the viva voce (which is Latin for “living voice” and is also called an oral defence or doctoral defence) to convince the examiners that their work is original, understood and all their own. Afterwards, if necessary, they make changes and resubmit. If the changes are approved, the degree is awarded.

The steps are similar in Australia , although candidates are mostly assessed on their thesis only; some universities may include taught courses, and some use a viva voce. A PhD in Australia usually takes three years full time.

In the US, the PhD process begins with taught classes (similar to a taught master’s) and a comprehensive exam (called a “field exam” or “dissertation qualifying exam”) before the candidate embarks on their original research. The whole journey takes four to six years.

A PhD candidate will need three skills and attitudes to get through their doctoral studies, says Tara Brabazon , professor of cultural studies at Flinders University in Australia who has written extensively about the PhD journey :

• master the academic foundational skills (research, writing, ability to navigate different modalities)
• time-management skills and the ability to focus on reading and writing
• determined motivation to do a PhD.

How do I choose the topic for my PhD dissertation or thesis?

It’s important to find a topic that will sustain your interest for the years it will take to complete a PhD. “Finding a sustainable topic is the most important thing you [as a PhD student] would do,” says Dr Brabazon in a video for Times Higher Education . “Write down on a big piece of paper all the topics, all the ideas, all the questions that really interest you, and start to cross out all the ones that might just be a passing interest.” Also, she says, impose the “Who cares? Who gives a damn?” question to decide if the topic will be useful in a future academic career.

The availability of funding and scholarships is also often an important factor in this decision, says veteran PhD supervisor Richard Godwin, from Harper Adams University .

Define a gap in knowledge – and one that can be questioned, explored, researched and written about in the time available to you, says Gina Wisker, head of the Centre for Learning and Teaching at the University of Brighton. “Set some boundaries,” she advises. “Don’t try to ask everything related to your topic in every way.”

James Hartley, research professor in psychology at Keele University, says it can also be useful to think about topics that spark general interest. If you do pick something that taps into the zeitgeist, your findings are more likely to be noticed.

You also need to find someone else who is interested in it, too. For STEM candidates , this will probably be a case of joining a team of people working in a similar area where, ideally, scholarship funding is available. A centre for doctoral training (CDT) or doctoral training partnership (DTP) will advertise research projects. For those in the liberal arts and social sciences, it will be a matter of identifying a suitable supervisor .

Avoid topics that are too broad (hunger across a whole country, for example) or too narrow (hunger in a single street) to yield useful solutions of academic significance, write Mark Stephan Felix and Ian Smith. And ensure that you’re not repeating previous research or trying to solve a problem that has already been answered. A PhD thesis must be original.

What is a thesis proposal?

After you have read widely to refine your topic and ensure that it and your research methods are original, and discussed your project with a (potential) supervisor, you’re ready to write a thesis proposal , a document of 1,500 to 3,000 words that sets out the proposed direction of your research. In the UK, a research proposal is usually part of the application process for admission to a research degree. As with the final dissertation itself, format varies among disciplines, institutions and countries but will usually contain title page, aims, literature review, methodology, timetable and bibliography. Examples of research proposals are available online.

How to write an abstract for a dissertation or thesis

The abstract presents your thesis to the wider world – and as such may be its most important element , says the NUI Galway writing guide. It outlines the why, how, what and so what of the thesis . Unlike the introduction, which provides background but not research findings, the abstract summarises all sections of the dissertation in a concise, thorough, focused way and demonstrates how well the writer understands their material. Check word-length limits with your university – and stick to them. About 300 to 500 words is a rough guide ­– but it can be up to 1,000 words.

The abstract is also important for selection and indexing of your thesis, according to the University of Melbourne guide , so be sure to include searchable keywords.

It is the first thing to be read but the last element you should write. However, Pat Thomson , professor of education at the University of Nottingham , advises that it is not something to be tackled at the last minute.

How to write a stellar conclusion

As well as chapter conclusions, a thesis often has an overall conclusion to draw together the key points covered and to reflect on the unique contribution to knowledge. It can comment on future implications of the research and open up new ideas emanating from the work. It is shorter and more general than the discussion chapter , says online editing site Scribbr, and reiterates how the work answers the main question posed at the beginning of the thesis. The conclusion chapter also often discusses the limitations of the research (time, scope, word limit, access) in a constructive manner.

It can be useful to keep a collection of ideas as you go – in the online forum DoctoralWriting SIG , academic developer Claire Aitchison, of the University of South Australia , suggests using a “conclusions bank” for themes and inspirations, and using free-writing to keep this final section fresh. (Just when you feel you’ve run out of steam.) Avoid aggrandising or exaggerating the impact of your work. It should remind the reader what has been done, and why it matters.

How to format a bibliography (or where to find a reliable model)

Most universities use a preferred style of references , writes THE associate editor Ingrid Curl. Make sure you know what this is and follow it. “One of the most common errors in academic writing is to cite papers in the text that do not then appear in the bibliography. All references in your thesis need to be cross-checked with the bibliography before submission. Using a database during your research can save a great deal of time in the writing-up process.”

A bibliography contains not only works cited explicitly but also those that have informed or contributed to the research – and as such illustrates its scope; works are not limited to written publications but include sources such as film or visual art.

Examiners can start marking from the back of the script, writes Dr Brabazon. “Just as cooks are judged by their ingredients and implements, we judge doctoral students by the calibre of their sources,” she advises. She also says that candidates should be prepared to speak in an oral examination of the PhD about any texts included in their bibliography, especially if there is a disconnect between the thesis and the texts listed.

Can I use informal language in my PhD?

Don’t write like a stereotypical academic , say Kevin Haggerty, professor of sociology at the University of Alberta , and Aaron Doyle, associate professor in sociology at Carleton University , in their tongue-in-cheek guide to the PhD journey. “If you cannot write clearly and persuasively, everything about PhD study becomes harder.” Avoid jargon, exotic words, passive voice and long, convoluted sentences – and work on it consistently. “Writing is like playing guitar; it can improve only through consistent, concerted effort.”

Be deliberate and take care with your writing . “Write your first draft, leave it and then come back to it with a critical eye. Look objectively at the writing and read it closely for style and sense,” advises THE ’s Ms Curl. “Look out for common errors such as dangling modifiers, subject-verb disagreement and inconsistency. If you are too involved with the text to be able to take a step back and do this, then ask a friend or colleague to read it with a critical eye. Remember Hemingway’s advice: ‘Prose is architecture, not interior decoration.’ Clarity is key.”

How often should a PhD candidate meet with their supervisor?

Since the PhD supervisor provides a range of support and advice – including on research techniques, planning and submission – regular formal supervisions are essential, as is establishing a line of contact such as email if the candidate needs help or advice outside arranged times. The frequency varies according to university, discipline and individual scholars.

Once a week is ideal, says Dr Brabazon. She also advocates a two-hour initial meeting to establish the foundations of the candidate-supervisor relationship .

The University of Edinburgh guide to writing a thesis suggests that creating a timetable of supervisor meetings right at the beginning of the research process will allow candidates to ensure that their work stays on track throughout. The meetings are also the place to get regular feedback on draft chapters.

“A clear structure and a solid framework are vital for research,” writes Dr Godwin on THE Campus . Use your supervisor to establish this and provide a realistic view of what can be achieved. “It is vital to help students identify the true scientific merit, the practical significance of their work and its value to society.”

How to proofread your dissertation (what to look for)

Proofreading is the final step before printing and submission. Give yourself time to ensure that your work is the best it can be . Don’t leave proofreading to the last minute; ideally, break it up into a few close-reading sessions. Find a quiet place without distractions. A checklist can help ensure that all aspects are covered.

Proofing is often helped by a change of format – so it can be easier to read a printout rather than working off the screen – or by reading sections out of order. Fresh eyes are better at spotting typographical errors and inconsistencies, so leave time between writing and proofreading. Check with your university’s policies before asking another person to proofread your thesis for you.

As well as close details such as spelling and grammar, check that all sections are complete, all required elements are included , and nothing is repeated or redundant. Don’t forget to check headings and subheadings. Does the text flow from one section to another? Is the structure clear? Is the work a coherent whole with a clear line throughout?

Ensure consistency in, for example, UK v US spellings, capitalisation, format, numbers (digits or words, commas, units of measurement), contractions, italics and hyphenation. Spellchecks and online plagiarism checkers are also your friend.

How do you manage your time to complete a PhD dissertation?

Treat your PhD like a full-time job, that is, with an eight-hour working day. Within that, you’ll need to plan your time in a way that gives a sense of progress . Setbacks and periods where it feels as if you are treading water are all but inevitable, so keeping track of small wins is important, writes A Happy PhD blogger Luis P. Prieto.

Be specific with your goals – use the SMART acronym (specific, measurable, attainable, relevant and timely).

And it’s never too soon to start writing – even if early drafts are overwritten and discarded.

“ Write little and write often . Many of us make the mistake of taking to writing as one would take to a sprint, in other words, with relatively short bursts of intense activity. Whilst this can prove productive, generally speaking it is not sustainable…In addition to sustaining your activity, writing little bits on a frequent basis ensures that you progress with your thinking. The comfort of remaining in abstract thought is common; writing forces us to concretise our thinking,” says Christian Gilliam, AHSS researcher developer at the University of Cambridge ’s Centre for Teaching and Learning.

Make time to write. “If you are more alert early in the day, find times that suit you in the morning; if you are a ‘night person’, block out some writing sessions in the evenings,” advises NUI Galway’s Dermot Burns, a lecturer in English and creative arts. Set targets, keep daily notes of experiment details that you will need in your thesis, don’t confuse writing with editing or revising – and always back up your work.

What work-life balance tips should I follow to complete my dissertation?

During your PhD programme, you may have opportunities to take part in professional development activities, such as teaching, attending academic conferences and publishing your work. Your research may include residencies, field trips or archive visits. This will require time-management skills as well as prioritising where you devote your energy and factoring in rest and relaxation. Organise your routine to suit your needs , and plan for steady and regular progress.

How to deal with setbacks while writing a thesis or dissertation

Have a contingency plan for delays or roadblocks such as unexpected results.

Accept that writing is messy, first drafts are imperfect, and writer’s block is inevitable, says Dr Burns. His tips for breaking it include relaxation to free your mind from clutter, writing a plan and drawing a mind map of key points for clarity. He also advises feedback, reflection and revision: “Progressing from a rough version of your thoughts to a superior and workable text takes time, effort, different perspectives and some expertise.”

“Academia can be a relentlessly brutal merry-go-round of rejection, rebuttal and failure,” writes Lorraine Hope , professor of applied cognitive psychology at the University of Portsmouth, on THE Campus. Resilience is important. Ensure that you and your supervisor have a relationship that supports open, frank, judgement-free communication.

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 .

Authoring a PhD Thesis: How to Plan, Draft, Write and Finish a Doctoral Dissertation (2003), by Patrick Dunleavy

Writing Your Dissertation in Fifteen Minutes a Day: A Guide to Starting, Revising, and Finishing Your Doctoral Thesis (1998), by Joan Balker

Challenges in Writing Your Dissertation: Coping with the Emotional, Interpersonal, and Spiritual Struggles (2015), by Noelle Sterne

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Research Question 101 📖

Everything you need to know to write a high-quality research question

By: Derek Jansen (MBA) | Reviewed By: Dr. Eunice Rautenbach | October 2023

If you’ve landed on this page, you’re probably asking yourself, “ What is a research question? ”. Well, you’ve come to the right place. In this post, we’ll explain what a research question is , how it’s differen t from a research aim, and how to craft a high-quality research question that sets you up for success.

Research Question 101

What is a research question.

• Research questions vs research aims
• The 4 types of research questions
• How to write a research question
• Frequently asked questions
• Examples of research questions

As the name suggests, the research question is the core question (or set of questions) that your study will (attempt to) answer .

In many ways, a research question is akin to a target in archery . Without a clear target, you won’t know where to concentrate your efforts and focus. Essentially, your research question acts as the guiding light throughout your project and informs every choice you make along the way.

Let’s look at some examples:

What impact does social media usage have on the mental health of teenagers in New York?

How does the introduction of a minimum wage affect employment levels in small businesses in outer London?

How does the portrayal of women in 19th-century American literature reflect the societal attitudes of the time?

What are the long-term effects of intermittent fasting on heart health in adults?

As you can see in these examples, research questions are clear, specific questions that can be feasibly answered within a study. These are important attributes and we’ll discuss each of them in more detail a little later . If you’d like to see more examples of research questions, you can find our RQ mega-list here .

Research Questions vs Research Aims

At this point, you might be asking yourself, “ How is a research question different from a research aim? ”. Within any given study, the research aim and research question (or questions) are tightly intertwined , but they are separate things . Let’s unpack that a little.

A research aim is typically broader in nature and outlines what you hope to achieve with your research. It doesn’t ask a specific question but rather gives a summary of what you intend to explore.

The research question, on the other hand, is much more focused . It’s the specific query you’re setting out to answer. It narrows down the research aim into a detailed, researchable question that will guide your study’s methods and analysis.

Let’s look at an example:

Research Aim: To explore the effects of climate change on marine life in Southern Africa.

Research Question: How does ocean acidification caused by climate change affect the reproduction rates of coral reefs?

As you can see, the research aim gives you a general focus , while the research question details exactly what you want to find out.

Need a helping hand?

Types of research questions

Now that we’ve defined what a research question is, let’s look at the different types of research questions that you might come across. Broadly speaking, there are (at least) four different types of research questions – descriptive , comparative , relational , and explanatory . 

Descriptive questions ask what is happening. In other words, they seek to describe a phenomena or situation . An example of a descriptive research question could be something like “What types of exercise do high-performing UK executives engage in?”. This would likely be a bit too basic to form an interesting study, but as you can see, the research question is just focused on the what – in other words, it just describes the situation.

Comparative research questions , on the other hand, look to understand the way in which two or more things differ , or how they’re similar. An example of a comparative research question might be something like “How do exercise preferences vary between middle-aged men across three American cities?”. As you can see, this question seeks to compare the differences (or similarities) in behaviour between different groups.

Next up, we’ve got exploratory research questions , which ask why or how is something happening. While the other types of questions we looked at focused on the what, exploratory research questions are interested in the why and how . As an example, an exploratory research question might ask something like “Why have bee populations declined in Germany over the last 5 years?”. As you can, this question is aimed squarely at the why, rather than the what.

Last but not least, we have relational research questions . As the name suggests, these types of research questions seek to explore the relationships between variables . Here, an example could be something like “What is the relationship between X and Y” or “Does A have an impact on B”. As you can see, these types of research questions are interested in understanding how constructs or variables are connected , and perhaps, whether one thing causes another.

Of course, depending on how fine-grained you want to get, you can argue that there are many more types of research questions , but these four categories give you a broad idea of the different flavours that exist out there. It’s also worth pointing out that a research question doesn’t need to fit perfectly into one category – in many cases, a research question might overlap into more than just one category and that’s okay.

The key takeaway here is that research questions can take many different forms , and it’s useful to understand the nature of your research question so that you can align your research methodology accordingly.

How To Write A Research Question

As we alluded earlier, a well-crafted research question needs to possess very specific attributes, including focus , clarity and feasibility . But that’s not all – a rock-solid research question also needs to be rooted and aligned . Let’s look at each of these.

A strong research question typically has a single focus. So, don’t try to cram multiple questions into one research question; rather split them up into separate questions (or even subquestions), each with their own specific focus. As a rule of thumb, narrow beats broad when it comes to research questions.

Clear and specific

A good research question is clear and specific, not vague and broad. State clearly exactly what you want to find out so that any reader can quickly understand what you’re looking to achieve with your study. Along the same vein, try to avoid using bulky language and jargon – aim for clarity.

Unfortunately, even a super tantalising and thought-provoking research question has little value if you cannot feasibly answer it. So, think about the methodological implications of your research question while you’re crafting it. Most importantly, make sure that you know exactly what data you’ll need (primary or secondary) and how you’ll analyse that data.

A good research question (and a research topic, more broadly) should be rooted in a clear research gap and research problem . Without a well-defined research gap, you risk wasting your effort pursuing a question that’s already been adequately answered (and agreed upon) by the research community. A well-argued research gap lays at the heart of a valuable study, so make sure you have your gap clearly articulated and that your research question directly links to it.

As we mentioned earlier, your research aim and research question are (or at least, should be) tightly linked. So, make sure that your research question (or set of questions) aligns with your research aim . If not, you’ll need to revise one of the two to achieve this.

FAQ: Research Questions

Research question faqs, how many research questions should i have, what should i avoid when writing a research question, can a research question be a statement.

Typically, a research question is phrased as a question, not a statement. A question clearly indicates what you’re setting out to discover.

Can a research question be too broad or too narrow?

Yes. A question that’s too broad makes your research unfocused, while a question that’s too narrow limits the scope of your study.

Here’s an example of a research question that’s too broad:

“Why is mental health important?”

Conversely, here’s an example of a research question that’s likely too narrow:

“What is the impact of sleep deprivation on the exam scores of 19-year-old males in London studying maths at The Open University?”

Can I change my research question during the research process?

How do i know if my research question is good.

A good research question is focused, specific, practical, rooted in a research gap, and aligned with the research aim. If your question meets these criteria, it’s likely a strong question.

Is a research question similar to a hypothesis?

Not quite. A hypothesis is a testable statement that predicts an outcome, while a research question is a query that you’re trying to answer through your study. Naturally, there can be linkages between a study’s research questions and hypothesis, but they serve different functions.

How are research questions and research objectives related?

The research question is a focused and specific query that your study aims to answer. It’s the central issue you’re investigating. The research objective, on the other hand, outlines the steps you’ll take to answer your research question. Research objectives are often more action-oriented and can be broken down into smaller tasks that guide your research process. In a sense, they’re something of a roadmap that helps you answer your research question.

Need some inspiration?

If you’d like to see more examples of research questions, check out our research question mega list here .  Alternatively, if you’d like 1-on-1 help developing a high-quality research question, consider our private coaching service .

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For PhD students - how to formulate a research question

Different students enter the PhD program with different backgrounds. Some students take research-oriented modules (courses in US) at undergraduate level. Some other do a research masters before doing a PhD. However, the kind of research questions we address in a PhD are very new and requires a long period of deeper investigation. Therefore, it is important to know how to find a good question that gets you excited.

Direct encounter : Usually, a good question comes from an experience. In my case, I experienced how hard it is to derive the dynamics of a robot with high degrees of freedom (DoF). I actually tried to manually derive dynamics of a 4-DoF manipulator called Mark-II from Yasakawa Corporation, and then ran a Mathematica program to do a symbolic derivation for a 7-DoF robot manipulator called PA-10. I experienced how long the equations grew and thought how the brain might be dealing with a body of about 37 DoFs for model based predictive control. This direct encounter with the problem is very important, because it gives you a cause to work towards.

Look around : After finding a problem worthy of addressing, look around to see how others have approached to solve it. This is where you will see different schools of thought. Be careful. There are glaring band-waggons out there. It is so tempting to get in one of them. Don’t blindly follow them unless you have a good reason. Usually following is tiring. Think carefully trying out simple derivations and doing simulations or even doing simple physical experiments to see what kind of approaches get you excited. Some approaches appear very exciting, but direct usage will prove to be not so effective. At this point, it is very important to consult your supervisor. The supervisor may have a favorite approach. Most experienced supervisors are open for change and a good reasoned discussion will help you to benefit from their experience to polish up your research question and the method you want to address it. You should always check if there are quantifiable methods to address your research question. For instance, if you want to test whether there is a particular class of mechanisms available to minimise the size of collision force when a robot is dropped from a height, you should think about testing methods, candidate mechanisms, and the range of design paramaters to assess the scope of analysis. Sometimes, your laboratory may not have the full capacity to help you. This is where you can look for collaborations. Try to reach this level of planning logistics within the first 4-6 months in your PhD.

First experiment is important : Once you know your cause for the PhD and once the approach and collaborations are established, break your approach down to smaller steps. Don’t worry too much about how the last experiment will be done. Worry about your first experiment. Distill out a refined research question that needs a novel answer that you can reach in about 6 months. This is important to boost confidence. Temptations will be high to find the ultimate answer to bring your field to a conclusion, but even in that case, it is important to make a first firm step. In this first step, master the tools and techniques involved in your field. In my lab, students take this time to master robot design and fabrication skills, coding skills, data analysis skills, and cool math you can use to solve difficult problems. Develop the habit of reading at least one paper a week that empowers you with powerful tools to solve problems.

Documentation : It is important to develop the habit of keeping things in a well sorted file structure. Open a folder for each project. Have sub-folders for data, reports, codes, papers you read (using a repository like Madeley is also great), designs, and other resources. This is going to save time when you write a paper at some point. Now you have cloud resources like Box and Onedrive. Back up everything securely.

Writing the first paper : If everything works out, after about one year into the PhD, you will have some new results worthy of publishing. Sometimes, the first attempt doesn’t work out. But all failed attempts teach us lessons. Don’t get discouraged if the first experiment doesn’t work out. Develop the resilience to come back with a different approach or to formulate the question in a different way. Then when you write the first paper, you will have comparative results. The importance of reading papers at least one per week is that in 6 months, you would have read at least 25 papers. This is enough to write your first paper. Start writing why the question you addressed is new and important, and back it up with papers you read. Write down your methods very clearly keeping in mind that somebody should be able to read your paper and be able to replicate it for independent verification. Results and interpretations need to be as sharp and consistent as possible. Plan to go through several rounds of revisions with your supervisor and lab mates before any submission deadlines. I ask my PhD students to have the paper in a reasonable level for revision at least one month before the deadline. Have this as a ballpark period for revision in your first paper. This is the time where you develop the skills of articulating a concept clearly, present it to an audience, receive criticisms, and develop good habits of critical reflection.

Completing the cycle : You will of course get review feedback. Some suggestions I have  given in this note can be useful to go the rest of the journey. Once you get your first paper published, you will have your next research questions coming up easily. The advantage of taking an approach you are passionate about to serve the cause you selected is that it will naturally line up the next set of questions and methods you should be pursuing. My advise is to go through this full cycle of raising a question to publishing results at least 3 times during your PhD. It will give you a seasoned experience of the art of formulating good research questions.

• Aims and Objectives – A Guide for Academic Writing
• Doing a PhD

One of the most important aspects of a thesis, dissertation or research paper is the correct formulation of the aims and objectives. This is because your aims and objectives will establish the scope, depth and direction that your research will ultimately take. An effective set of aims and objectives will give your research focus and your reader clarity, with your aims indicating what is to be achieved, and your objectives indicating how it will be achieved.

Introduction

There is no getting away from the importance of the aims and objectives in determining the success of your research project. Unfortunately, however, it is an aspect that many students struggle with, and ultimately end up doing poorly. Given their importance, if you suspect that there is even the smallest possibility that you belong to this group of students, we strongly recommend you read this page in full.

This page describes what research aims and objectives are, how they differ from each other, how to write them correctly, and the common mistakes students make and how to avoid them. An example of a good aim and objectives from a past thesis has also been deconstructed to help your understanding.

What Are Aims and Objectives?

Research aims.

A research aim describes the main goal or the overarching purpose of your research project.

In doing so, it acts as a focal point for your research and provides your readers with clarity as to what your study is all about. Because of this, research aims are almost always located within its own subsection under the introduction section of a research document, regardless of whether it’s a thesis , a dissertation, or a research paper .

A research aim is usually formulated as a broad statement of the main goal of the research and can range in length from a single sentence to a short paragraph. Although the exact format may vary according to preference, they should all describe why your research is needed (i.e. the context), what it sets out to accomplish (the actual aim) and, briefly, how it intends to accomplish it (overview of your objectives).

To give an example, we have extracted the following research aim from a real PhD thesis:

Example of a Research Aim

The role of diametrical cup deformation as a factor to unsatisfactory implant performance has not been widely reported. The aim of this thesis was to gain an understanding of the diametrical deformation behaviour of acetabular cups and shells following impaction into the reamed acetabulum. The influence of a range of factors on deformation was investigated to ascertain if cup and shell deformation may be high enough to potentially contribute to early failure and high wear rates in metal-on-metal implants.

Note: Extracted with permission from thesis titled “T he Impact And Deformation Of Press-Fit Metal Acetabular Components ” produced by Dr H Hothi of previously Queen Mary University of London.

Research Objectives

Where a research aim specifies what your study will answer, research objectives specify how your study will answer it.

They divide your research aim into several smaller parts, each of which represents a key section of your research project. As a result, almost all research objectives take the form of a numbered list, with each item usually receiving its own chapter in a dissertation or thesis.

Following the example of the research aim shared above, here are it’s real research objectives as an example:

Example of a Research Objective

• Develop finite element models using explicit dynamics to mimic mallet blows during cup/shell insertion, initially using simplified experimentally validated foam models to represent the acetabulum.
• Investigate the number, velocity and position of impacts needed to insert a cup.
• Determine the relationship between the size of interference between the cup and cavity and deformation for different cup types.
• Investigate the influence of non-uniform cup support and varying the orientation of the component in the cavity on deformation.
• Examine the influence of errors during reaming of the acetabulum which introduce ovality to the cavity.
• Determine the relationship between changes in the geometry of the component and deformation for different cup designs.
• Develop three dimensional pelvis models with non-uniform bone material properties from a range of patients with varying bone quality.
• Use the key parameters that influence deformation, as identified in the foam models to determine the range of deformations that may occur clinically using the anatomic models and if these deformations are clinically significant.

It’s worth noting that researchers sometimes use research questions instead of research objectives, or in other cases both. From a high-level perspective, research questions and research objectives make the same statements, but just in different formats.

Taking the first three research objectives as an example, they can be restructured into research questions as follows:

Restructuring Research Objectives as Research Questions

• Can finite element models using simplified experimentally validated foam models to represent the acetabulum together with explicit dynamics be used to mimic mallet blows during cup/shell insertion?
• What is the number, velocity and position of impacts needed to insert a cup?
• What is the relationship between the size of interference between the cup and cavity and deformation for different cup types?

Difference Between Aims and Objectives

Hopefully the above explanations make clear the differences between aims and objectives, but to clarify:

• The research aim focus on what the research project is intended to achieve; research objectives focus on how the aim will be achieved.
• Research aims are relatively broad; research objectives are specific.
• Research aims focus on a project’s long-term outcomes; research objectives focus on its immediate, short-term outcomes.
• A research aim can be written in a single sentence or short paragraph; research objectives should be written as a numbered list.

How to Write Aims and Objectives

Before we discuss how to write a clear set of research aims and objectives, we should make it clear that there is no single way they must be written. Each researcher will approach their aims and objectives slightly differently, and often your supervisor will influence the formulation of yours on the basis of their own preferences.

Regardless, there are some basic principles that you should observe for good practice; these principles are described below.

Your aim should be made up of three parts that answer the below questions:

• Why is this research required?
• What is this research about?
• How are you going to do it?

The easiest way to achieve this would be to address each question in its own sentence, although it does not matter whether you combine them or write multiple sentences for each, the key is to address each one.

The first question, why , provides context to your research project, the second question, what , describes the aim of your research, and the last question, how , acts as an introduction to your objectives which will immediately follow.

Scroll through the image set below to see the ‘why, what and how’ associated with our research aim example.

Note: Your research aims need not be limited to one. Some individuals per to define one broad ‘overarching aim’ of a project and then adopt two or three specific research aims for their thesis or dissertation. Remember, however, that in order for your assessors to consider your research project complete, you will need to prove you have fulfilled all of the aims you set out to achieve. Therefore, while having more than one research aim is not necessarily disadvantageous, consider whether a single overarching one will do.

Research Objectives

Each of your research objectives should be SMART :

• Specific – is there any ambiguity in the action you are going to undertake, or is it focused and well-defined?
• Measurable – how will you measure progress and determine when you have achieved the action?
• Achievable – do you have the support, resources and facilities required to carry out the action?
• Relevant – is the action essential to the achievement of your research aim?
• Timebound – can you realistically complete the action in the available time alongside your other research tasks?

In addition to being SMART, your research objectives should start with a verb that helps communicate your intent. Common research verbs include:

Table of Research Verbs to Use in Aims and Objectives

Last, format your objectives into a numbered list. This is because when you write your thesis or dissertation, you will at times need to make reference to a specific research objective; structuring your research objectives in a numbered list will provide a clear way of doing this.

To bring all this together, let’s compare the first research objective in the previous example with the above guidance:

Checking Research Objective Example Against Recommended Approach

Research Objective:

1. Develop finite element models using explicit dynamics to mimic mallet blows during cup/shell insertion, initially using simplified experimentally validated foam models to represent the acetabulum.

Checking Against Recommended Approach:

Q: Is it specific? A: Yes, it is clear what the student intends to do (produce a finite element model), why they intend to do it (mimic cup/shell blows) and their parameters have been well-defined ( using simplified experimentally validated foam models to represent the acetabulum ).

Q: Is it measurable? A: Yes, it is clear that the research objective will be achieved once the finite element model is complete.

Q: Is it achievable? A: Yes, provided the student has access to a computer lab, modelling software and laboratory data.

Q: Is it relevant? A: Yes, mimicking impacts to a cup/shell is fundamental to the overall aim of understanding how they deform when impacted upon.

Q: Is it timebound? A: Yes, it is possible to create a limited-scope finite element model in a relatively short time, especially if you already have experience in modelling.

Q: Does it start with a verb? A: Yes, it starts with ‘develop’, which makes the intent of the objective immediately clear.

Q: Is it a numbered list? A: Yes, it is the first research objective in a list of eight.

Mistakes in Writing Research Aims and Objectives

1. making your research aim too broad.

Having a research aim too broad becomes very difficult to achieve. Normally, this occurs when a student develops their research aim before they have a good understanding of what they want to research. Remember that at the end of your project and during your viva defence , you will have to prove that you have achieved your research aims; if they are too broad, this will be an almost impossible task. In the early stages of your research project, your priority should be to narrow your study to a specific area. A good way to do this is to take the time to study existing literature, question their current approaches, findings and limitations, and consider whether there are any recurring gaps that could be investigated .

Note: Achieving a set of aims does not necessarily mean proving or disproving a theory or hypothesis, even if your research aim was to, but having done enough work to provide a useful and original insight into the principles that underlie your research aim.

2. Making Your Research Objectives Too Ambitious

Be realistic about what you can achieve in the time you have available. It is natural to want to set ambitious research objectives that require sophisticated data collection and analysis, but only completing this with six months before the end of your PhD registration period is not a worthwhile trade-off.

3. Formulating Repetitive Research Objectives

Each research objective should have its own purpose and distinct measurable outcome. To this effect, a common mistake is to form research objectives which have large amounts of overlap. This makes it difficult to determine when an objective is truly complete, and also presents challenges in estimating the duration of objectives when creating your project timeline. It also makes it difficult to structure your thesis into unique chapters, making it more challenging for you to write and for your audience to read.

Fortunately, this oversight can be easily avoided by using SMART objectives.

Hopefully, you now have a good idea of how to create an effective set of aims and objectives for your research project, whether it be a thesis, dissertation or research paper. While it may be tempting to dive directly into your research, spending time on getting your aims and objectives right will give your research clear direction. This won’t only reduce the likelihood of problems arising later down the line, but will also lead to a more thorough and coherent research project.

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Dissertations & projects: Research questions

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“The central question that you ask or hypothesis you frame drives your research: it defines your purpose.” Bryan Greetham, How to Write Your Undergraduate Dissertation

This page gives some help and guidance in developing a realistic research question. It also considers the role of sub-questions and how these can influence your methodological choices. 

Choosing your research topic

You may have been provided with a list of potential topics or even specific questions to choose from. It is more common for you to have to come up with your own ideas and then refine them with the help of your tutor. This is a crucial decision as you will be immersing yourself in it for a long time.

Some students struggle to find a topic that is sufficiently significant and yet researchable within the limitations of an undergraduate project. You may feel overwhelmed by the freedom to choose your own topic but you could get ideas by considering the following:

Choose a topic that you find interesting . This may seem obvious but a lot of students go for what they think will be easy over what they think will be interesting - and regret it when they realise nothing is particularly easy and they are bored by the work. Think back over your lectures or talks from visiting speakers - was there anything you really enjoyed? Was there anything that left you with questions?

Choose something distinct . Whilst at undergraduate level you do not have to find something completely unique, if you find something a bit different you have more opportunity to come to some interesting conclusions. Have you some unique experiences that you can bring: personal biography, placements, study abroad etc?

Don't make your topic too wide . If your topic is too wide, it will be harder to develop research questions that you can actually answer in the context of a small research project.

Don't make your work too narrow . If your topic is too narrow, you will not be able to expand on the ideas sufficiently and make useful conclusions. You may also struggle to find enough literature to support it.

Scope out the field before deciding your topic . This is especially important if you have a few different options and are not sure which to pick. Spend a little time researching each one to get a feel for the amount of literature that exists and any particular avenues that could be worth exploring.

Think about your future . Some topics may fit better than others with your future plans, be they for further study or employment. Becoming more expert in something that you may have to be interviewed about is never a bad thing!

Once you have an idea (or even a few), speak to your tutor. They will advise on whether it is the right sort of topic for a dissertation or independent study. They have a lot of experience and will know if it is too much to take on, has enough material to build on etc.

Developing a research question or hypothesis

Research question vs hypothesis.

First, it may be useful to explain the difference between a research question and a hypothesis. A research question is simply a question that your research will address and hopefully answer (or give an explanation of why you couldn't answer it). A hypothesis is a statement that suggests how you expect something to function or behave (and which you would test to see if it actually happens or not).

Research question examples

• How significant is league table position when students choose their university?
• What impact can a diagnosis of depression have on physical health?

Note that these are open questions - i.e. they cannot be answered with a simple 'yes' or 'no'. This is the best form of question.

Hypotheses examples

• Students primarily choose their university based on league table position.
• A diagnosis of depression can impact physical health.

Note that these are things that you can test to see if they are true or false. This makes them more definite then research questions - but you can still answer them more fully than 'no they don't' or 'yes it does'. For example, in the above examples you would look to see how relevant other factors were when choosing universities and in what ways physical health may be impacted.

For more examples of the same topic formulated as hypotheses, research questions and paper titles see those given at the bottom of this document from Oakland University: Formulation of Research Hypothesis

Which do you need?

Generally, research questions are more common in the humanities, social sciences and business, whereas hypotheses are more common in the sciences. This is not a hard rule though, talk things through with your supervisor to see which they are expecting or which they think fits best with your topic.

What makes a good research question or hypothesis?

Unless you are undertaking a systematic review as your research method, you will develop your research question  as a result of reviewing the literature on your broader topic. After all, it is only by seeing what research has already been done (or not) that you can justify the need for your question or your approach to answering it. At the end of that process, you should be able to come up with a question or hypothesis that is:

• Clear (easily understandable)
• Focused (specific not vague or huge)
• Answerable (the data is available and analysable in the time frame)
• Relevant (to your area of study)
• Significant (it is worth answering)

You can try a few out, using a table like this (yours would all be in the same discipline):

A similar, though different table is available from the University of California: What makes a good research topic?   The completed table has some supervisor comments which may also be helpful.

Ultimately, your final research question will be mutually agreed between yourself and your supervisor - but you should always bring your own ideas to the conversation.

The role of sub-questions

Your main research question will probably still be too big to answer easily. This is where sub-questions come in. They are specific, narrower questions that you can answer directly from your data.

So, looking at the question " How much do online users know and care about how their self-images can be used by Apple, Google, Microsoft and Facebook? " from the table above, the sub-questions could be:

• What rights do the terms and conditions of signing up for Apple, Google, Microsoft and Facebook accounts give those companies regarding the use of self-images?
• What proportion of users read the terms and conditions when creating accounts with these companies?
• How aware are users of the rights they are giving away regarding their self-images when creating accounts with these companies?
• How comfortable are users with giving away these rights?

Together, the answers to your sub-questions should enable you to answer the overarching research question.

How do you answer your sub-questions?

Depending on the type of dissertation/project your are undertaking, some (or all) the questions may be answered with information collected from the literature and some (or none) may be answered by analysing data directly collected as part of your primary empirical research .

In the above example, the first question would be answered by documentary analysis of the relevant terms and conditions, the second by a mixture of reviewing the literature and analysing survey responses from participants and the last two also by analysing survey responses. Different projects will require different approaches.

Some sub-questions could be answered by reviewing the literature and others from empirical study.

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• GETTING STARTED
• Introduction
• FUNDAMENTALS
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You are trying to address too many research questions and/or hypotheses

Setting a single research question can also mean that your dissertation will be too open because the goals you have set yourself are too ambitious . However, even when you create research questions that are considered reasonable , it is still possible to simply have too many research questions and/or hypotheses to answer. Supervisors will often look at the number of research questions and/or hypotheses you have set yourself and say: ?You have three possible dissertations there. Just choose one!? One of the reasons you may have too many research questions is because you are trying to address too many concepts, theories and/or variables in your dissertation. We discuss this next.

You have included too many concepts, theories, and/or variables

As discussed earlier in the article, your dissertation will need to build on or draw from established concepts or theories when choosing a topic and conducting your research.

This is a particularly challenging process when choosing a topic because unless you are building on a particular interest you have developed over the course of your degree programme, it is unlikely that you will know the literature well at this early stage. As a result, it is possible that you will try to include too many theories and concepts when coming up with a possible topic.

However, the extent to which this is a problem will vary depending on whether you are using a quantitative , qualitative or mixed methods research design . For example, since quantitative research designs generally aim to build on and/or test theory , you need to be more precise from the outset when it comes to choosing theories and variables that you will examine. By contrast, with qualitative research designs, there may be more room to manoeuvre when it comes to concepts and theories, largely because such dissertations tend to draw on these concepts and theories, focusing more on the data being collected (as opposed to building on and/or testing theory). However, this does not mean you can be loose with your choice of concepts and theories when using qualitative research designs. You still need to select concepts and theories to include in your dissertation topic using your best academic judgement .

Irrespective of the research design choice you have made, trying to address too many concepts, theories and/or variables is problematic for a number of reasons:

Theoretical problems

Theory building, irrespective of the research design used, is a balance between parsimony and completeness. Simply put, you need to make sure that your dissertation covers the relevant theories and concepts, without missing any out, whilst ensuring that you do not try to solve the world all at once. The idea of building grand theories that explain everything (which is something of an exaggeration) is largely recognised to be unrealistic for a variety of reasons. Instead, creating micro theories is more sensible, which tackle a smaller aspect of some phenomenon. If you are trying to solve the world with your dissertation topic, it will likely be considered to be too broad .

Practical challenges

It is generally unrealistic to attempt dissertation topics that try and incorporate a particularly wide range of concepts and theories. For the most part, the time it would take to review the literature in such cases would be excessive. As a result, your supervisor may consider your dissertation topic to be too broad .

The population you are interested in is too broad to target effectively

Academics know what it takes to perform research in terms of the costs involved and the time required to contact organisations, sample a population effectively, and collect sufficient data from that sample. This is the case whether you are performing primary or secondary research. It is the case whether the sample you are interested are organisations, people, objects, data, or something else.

At the undergraduate and master's level, your supervisor knows what you can probably achieve (and otherwise) in a period of 6 and 9 months (give or take a few months) to do your dissertation. Indeed, probably around half of the time will be involve in data collection. This places severe limits of what data can be collected, whether this is through primary or secondary research; whether you choose to use qualitative methods (e.g., interviews, focus groups, observation) or quantitative methods (e.g., a survey).

Imagine you were doing a dissertation on the career choices of university students. If you had chosen to use a quantitative research design to address your research questions, your goal would likely be to make generalisations (i.e., statistical inferences) from a sample of university students to the population; in this case, all university students. However, to achieve this, you would need to get a representative sample of university students across all countries, year groups, ages, genders, and so forth. Clearly, this would be impossible at the undergraduate and master's level in the time you have available. Therefore, when setting your research topic, it would make more sense to state that you were going to do a dissertation on the career choices of a particular sub-set of this population. Perhaps you are only going to focus on university students in the United States. Or to reduce the sampling burden further, just final-year undergraduate students in the United States.

The important point is that if the population you are interested in studying is too broad (e.g., university students globally vs. final-year undergraduate university students in the United States), it is unlikely that you will be able to target your population effectively or use a strong sampling strategy. Therefore, your dissertation topic may be considered to be too broad if the population you are interested in is too broad to target effectively.

There is no identifiable outcome to your dissertation

Research questions, whether qualitative , quantitative or mixed methods in nature, should point either to clearly identifiable outcomes or a range of possible outcomes :

Clearly identifiable outcomes:

With quantitative research questions, the outcome of the research is clearly identifiable. This is because quantitative research questions highlight the nature of the research question (i.e., descriptive , comparative or relationship -based), the variables that are to be measured, manipulated and/or controlled, and the relationship between these variables (i.e., your independent , dependent , control and/or moderating variables) [see the section on Quantitative research questions ]. Because of this clarity, the intended outcomes of the research are clearly identified.

A range of possible outcomes:

With qualitative research questions, the research outcome may not be so clearly identifiable at the outset, especially if the researcher is using a qualitative research design, but a range of possible outcomes should be identifiable if the qualitative research question has been structured and written with precision. There could be a number of reasons for this, such as a lack of precision in the way that your research questions have been written or a failure to illustrate the problem you are tackling; that is, a failure to illustrate the significance of your dissertation.

If your dissertation topic and your research questions, in particular, have no identifiable outcome (i.e., it is unclear what is being addressed/solved), your supervisor may well argue that it is too broad .

Identifying whether your dissertation topic is too broad

Without wanting to repeat what we have already discussed in the article so far, we simply suggest that you ask yourself the following questions when trying to identify whether your dissertation topic is going to be too broad:

Are your research questions precise and theoretically-grounded , whilst also showing that you have realistic goals ?

Are you research questions either so open or numerous that you are really trying to take one two or three dissertations, not just one?

Can you clearly identify the concepts and/or theories that your research will build on or draw from ? If YES , are you confident that you are not trying to include too many concepts, theories and/or variables in your dissertation?

Can you devise a research plan from the start, which realistically takes into account the time and resources you will need to gain access to your sample, collect data, and analyse your findings?

In addition to showing why your research is significant ; that is, worth doing; can you identify the potential outcome(s) of your dissertation to show what your goals are and how you will achieve them?

If you are still unsure whether your topic is achievable, we can recommend the following article: How do I know whether my dissertation topic is achievable? If you are still thinking about what topic you should choose, you may find the following two articles helpful: Our top tip for finding a dissertation topic and Turning a research limitation or future research idea into a potential topic idea .