You can use the free APA Reference Generator to automatically create and store your references.
APA Reference Generator
The words ‘ dissertation ’ and ‘thesis’ both refer to a large written research project undertaken to complete a degree, but they are used differently depending on the country:
The main difference is in terms of scale – a dissertation is usually much longer than the other essays you complete during your degree.
Another key difference is that you are given much more independence when working on a dissertation. You choose your own dissertation topic , and you have to conduct the research and write the dissertation yourself (with some assistance from your supervisor).
Dissertation word counts vary widely across different fields, institutions, and levels of education:
However, none of these are strict guidelines – your word count may be lower or higher than the numbers stated here. Always check the guidelines provided by your university to determine how long your own dissertation should be.
At the bachelor’s and master’s levels, the dissertation is usually the main focus of your final year. You might work on it (alongside other classes) for the entirety of the final year, or for the last six months. This includes formulating an idea, doing the research, and writing up.
A PhD thesis takes a longer time, as the thesis is the main focus of the degree. A PhD thesis might be being formulated and worked on for the whole four years of the degree program. The writing process alone can take around 18 months.
If you want to cite this source, you can copy and paste the citation or click the ‘Cite this Scribbr article’ button to automatically add the citation to our free Reference Generator.
Caulfield, J. (2022, May 05). What Is a Dissertation? | 5 Essential Questions to Get Started. Scribbr. Retrieved 3 September 2024, from https://www.scribbr.co.uk/thesis-dissertation/what-is-a-dissertation/
Other students also liked, how to choose a dissertation topic | 8 steps to follow, how to write a dissertation proposal | a step-by-step guide, what is a literature review | guide, template, & examples.
What is a dissertation, getting started, staying on track.
A thesis is a long-term project that you work on over the course of a semester or a year. Theses have a very wide variety of styles and content, so we encourage you to look at prior examples and work closely with faculty to develop yours.
Before you begin, make sure that you are familiar with the dissertation genre—what it is for and what it looks like.
Generally speaking, a dissertation’s purpose is to prove that you have the expertise necessary to fulfill your doctoral-degree requirements by showing depth of knowledge and independent thinking.
The form of a dissertation may vary by discipline. Be sure to follow the specific guidelines of your department.
Finding a topic for your thesis or dissertation should start with a research question that excites or at least interests you. A rigorous, engaging, and original project will require continuous curiosity about your topic, about your own thoughts on the topic, and about what other scholars have said on your topic. Avoid getting boxed in by thinking you know what you want to say from the beginning; let your research and your writing evolve as you explore and fine-tune your focus through constant questioning and exploration.
Get a sense of the broader picture before you narrow your focus and attempt to frame an argument. Read, skim, and otherwise familiarize yourself with what other scholars have done in areas related to your proposed topic. Briefly explore topics tangentially related to yours to broaden your perspective and increase your chance of finding a unique angle to pursue.
Critical Reading
Critical reading is the opposite of passive reading. Instead of merely reading for information to absorb, critical reading also involves careful, sustained thinking about what you are reading. This process may include analyzing the author’s motives and assumptions, asking what might be left out of the discussion, considering what you agree with or disagree with in the author’s statements and why you agree or disagree, and exploring connections or contradictions between scholarly arguments. Here is a resource to help hone your critical-reading skills:
http://writing.umn.edu/sws/assets/pdf/quicktips/criticalread.pdf
Conversation
Your thesis or dissertation will incorporate some ideas from other scholars whose work you researched. By reading critically and following your curiosity, you will develop your own ideas and claims, and these contributions are the core of your project. You will also acknowledge the work of scholars who came before you, and you must accurately and fairly attribute this work and define your place within the larger discussion. Make sure that you know how to quote, summarize, paraphrase , integrate , and cite secondary sources to avoid plagiarism and to show the depth and breadth of your knowledge.
A thesis is a long-term, large project that involves both research and writing; it is easy to lose focus, motivation, and momentum. Here are suggestions for achieving the result you want in the time you have.
The dissertation is probably the largest project you have undertaken, and a lot of the work is self-directed. The project can feel daunting or even overwhelming unless you break it down into manageable pieces and create a timeline for completing each smaller task. Be realistic but also challenge yourself, and be forgiving of yourself if you miss a self-imposed deadline here and there.
Your program will also have specific deadlines for different requirements, including establishing a committee, submitting a prospectus, completing the dissertation, defending the dissertation, and submitting your work. Consult your department’s website for these dates and incorporate them into the timeline for your work.
Accountability
Sometimes self-imposed deadlines do not feel urgent unless there is accountability to someone beyond yourself. To increase your motivation to complete tasks on schedule, set dates with your committee chair to submit pre-determined pieces of a chapter. You can also arrange with a fellow doctoral student to check on each other’s progress. Research and writing can be lonely, so it is also nice to share that journey with someone and support each other through the process.
Common Pitfalls
The most common challenges for students writing a dissertation are writer’s block, information-overload, and the compulsion to keep researching forever.
There are many strategies for avoiding writer’s block, such as freewriting, outlining, taking a walk, starting in the middle, and creating an ideal work environment for your particular learning style. Pay attention to what helps you and try different things until you find what works.
Efficient researching techniques are essential to avoiding information-overload. Here are a couple of resources about strategies for finding sources and quickly obtaining essential information from them.
https://owl.purdue.edu/owl/subject_specific_writing/writing_in_literature/writing_in_literature_detailed_discussion/reading_criticism.html
https://students.dartmouth.edu/academic-skills/learning-resources/learning-strategies/reading-techniques
Finally, remember that there is always more to learn and your dissertation cannot incorporate everything. Follow your curiosity but also set limits on the scope of your work. It helps to create a folder entitled “future projects” for topics and sources that interest you but that do not fit neatly into the dissertation. Also remember that future scholars will build off of your work, so leave something for them to do.
Browsing through theses and dissertations of the past can help to get a sense of your options and gain inspiration but be careful to use current guidelines and refer to your committee instead of relying on these examples for form or formatting.
DASH Digital Access to Scholarship at Harvard.
HOLLIS Harvard Library’s catalog provides access to ProQuest Dissertations & Theses Global .
MIT Architecture has a list of their graduates’ dissertations and theses.
Rhode Island School of Design has a list of their graduates’ dissertations and theses.
University of South Florida has a list of their graduates’ dissertations and theses.
Harvard GSD has a list of projects, including theses and professors’ research.
Harvard University Digital Accessibility Policy
Are you preparing for your doctoral dissertation? Then you’ll agree that it requires serious perseverance. You spent many years on the journey of your professional development and studies. From the sleepless nights to the labor-intensive research and all of the hard work. Everything can be super difficult and daunting. Even with the most outstanding base knowledge, starting a dissertation can be really daunting.
One of the first things that you should understand is that there are different types of dissertations, and this article will focus on three of the main types of dissertations that you should know, especially for a doctoral degree.
This is the first type that you should know, and it basically mirrors qualitative research that a student will help people throughout their academic journey. The research utilizes non-number-based data collection that is done through focus groups, participant observations, and interviews. Also, the data you collect is the main factor that determines whether you model your dissertation according to the qualitative method.
Another key thing to note is that there are different aspects of the qualitative dissertation, and this includes the following:
As mentioned earlier, a qualitative dissertation does not involve numerical data, so the method of collecting data is usually based on participant observation, focus groups, and unstructured interviews. However, the researcher will also need rubrics to help them assess the quality of their findings.
This type of dissertation focuses on numbers, and it uses quantitative research methods to aggregate data so that they can be analyzed and categorized. Apart from the conventional statistical analysis, it’s important to note that quantitative research also uses key strategies that depend on the type of questions asked. This type of dissertation can also employ the use of replication-based studies, data-driven dissertations, and theory-driven research.
When performing this type of research, candidates can utilize quantitative measures that allow them to test different theories, even as they try to make their approach original. Another thing worth noting is that quantitative dissertations focus on post-positivist and positivist research paradigms. The focus is also on experimental, relationship-based, or descriptive designs.
Surveys, data sets, structured interviews and observations, questionnaire, and lab-based testing methods do data collection. In addition, qualitative researchers also measure results based on criteria like construct validity, internal validity, external validity, and reliability.
The hybrid method is also a strategy that is commonly used by most researchers. This is a mix of both the qualitative and quantitative dissertation methods mentioned above. However, this is a relatively new option, and it’s still gaining popularity. The main benefit of this approach is that it offers more credibility and versatility. Also, it’s a more comprehensive approach that makes it possible for researchers to obtain a wider array of information and a larger range of optimization.
Most candidates prefer to collect data first with quantitative methods and categorize the data. After that, they proceed to collect data using qualitative methods and analyze the collected data. With that, they can start drawing meaningful conclusions about the collected data.
The mixed-method approach allows candidates to collect and analyze more data. With this, they can easily increase the scope of their dissertation and reach a more sustainable and succinct conclusion. If you’re using this form of dissertation, one of the most important things you’ll need to do is to make an outline of your research goals and strategy, and this should be as early as possible, especially at the beginning of the dissertation process. With that, you can easily capture only the data that you need.
8 straightforward steps to craft an a-grade dissertation.
By: Derek Jansen (MBA) Expert Reviewed By: Dr Eunice Rautenbach | June 2020
Writing a dissertation or thesis is not a simple task. It takes time, energy and a lot of will power to get you across the finish line. It’s not easy – but it doesn’t necessarily need to be a painful process. If you understand the big-picture process of how to write a dissertation or thesis, your research journey will be a lot smoother.
In this post, I’m going to outline the big-picture process of how to write a high-quality dissertation or thesis, without losing your mind along the way. If you’re just starting your research, this post is perfect for you. Alternatively, if you’ve already submitted your proposal, this article which covers how to structure a dissertation might be more helpful.
This probably sounds like a no-brainer, but all too often, students come to us for help with their research and the underlying issue is that they don’t fully understand what a dissertation (or thesis) actually is.
So, what is a dissertation?
At its simplest, a dissertation or thesis is a formal piece of research , reflecting the standard research process . But what is the standard research process, you ask? The research process involves 4 key steps:
In short, the research process is simply about asking and answering questions in a systematic fashion . This probably sounds pretty obvious, but people often think they’ve done “research”, when in fact what they have done is:
If you want to see the perfect example of this in action, look out for the next Facebook post where someone claims they’ve done “research”… All too often, people consider reading a few blog posts to constitute research. Its no surprise then that what they end up with is an opinion piece, not research. Okay, okay – I’ll climb off my soapbox now.
The key takeaway here is that a dissertation (or thesis) is a formal piece of research, reflecting the research process. It’s not an opinion piece , nor a place to push your agenda or try to convince someone of your position. Writing a good dissertation involves asking a question and taking a systematic, rigorous approach to answering it.
If you understand this and are comfortable leaving your opinions or preconceived ideas at the door, you’re already off to a good start!
As we saw, the first step of the research process is to ask a specific, well-articulated question. In other words, you need to find a research topic that asks a specific question or set of questions (these are called research questions ). Sounds easy enough, right? All you’ve got to do is identify a question or two and you’ve got a winning research topic. Well, not quite…
A good dissertation or thesis topic has a few important attributes. Specifically, a solid research topic should be:
Let’s take a closer look at these:
Attribute #1: Clear
Your research topic needs to be crystal clear about what you’re planning to research, what you want to know, and within what context. There shouldn’t be any ambiguity or vagueness about what you’ll research.
Here’s an example of a clearly articulated research topic:
An analysis of consumer-based factors influencing organisational trust in British low-cost online equity brokerage firms.
As you can see in the example, its crystal clear what will be analysed (factors impacting organisational trust), amongst who (consumers) and in what context (British low-cost equity brokerage firms, based online).
Attribute #2: Unique
Your research should be asking a question(s) that hasn’t been asked before, or that hasn’t been asked in a specific context (for example, in a specific country or industry).
For example, sticking organisational trust topic above, it’s quite likely that organisational trust factors in the UK have been investigated before, but the context (online low-cost equity brokerages) could make this research unique. Therefore, the context makes this research original.
One caveat when using context as the basis for originality – you need to have a good reason to suspect that your findings in this context might be different from the existing research – otherwise, there’s no reason to warrant researching it.
Attribute #3: Important
Simply asking a unique or original question is not enough – the question needs to create value. In other words, successfully answering your research questions should provide some value to the field of research or the industry. You can’t research something just to satisfy your curiosity. It needs to make some form of contribution either to research or industry.
For example, researching the factors influencing consumer trust would create value by enabling businesses to tailor their operations and marketing to leverage factors that promote trust. In other words, it would have a clear benefit to industry.
So, how do you go about finding a unique and valuable research topic? We explain that in detail in this video post – How To Find A Research Topic . Yeah, we’ve got you covered 😊
Once you’ve pinned down a high-quality research topic, the next step is to convince your university to let you research it. No matter how awesome you think your topic is, it still needs to get the rubber stamp before you can move forward with your research. The research proposal is the tool you’ll use for this job.
So, what’s in a research proposal?
The main “job” of a research proposal is to convince your university, advisor or committee that your research topic is worthy of approval. But convince them of what? Well, this varies from university to university, but generally, they want to see that:
At the proposal stage, it’s (generally) not expected that you’ve extensively reviewed the existing literature , but you will need to show that you’ve done enough reading to identify a clear gap for original (unique) research. Similarly, they generally don’t expect that you have a rock-solid research methodology mapped out, but you should have an idea of whether you’ll be undertaking qualitative or quantitative analysis , and how you’ll collect your data (we’ll discuss this in more detail later).
Long story short – don’t stress about having every detail of your research meticulously thought out at the proposal stage – this will develop as you progress through your research. However, you do need to show that you’ve “done your homework” and that your research is worthy of approval .
So, how do you go about crafting a high-quality, convincing proposal? We cover that in detail in this video post – How To Write A Top-Class Research Proposal . We’ve also got a video walkthrough of two proposal examples here .
Once your proposal’s been approved, its time to get writing your actual dissertation or thesis! The good news is that if you put the time into crafting a high-quality proposal, you’ve already got a head start on your first three chapters – introduction, literature review and methodology – as you can use your proposal as the basis for these.
Handy sidenote – our free dissertation & thesis template is a great way to speed up your dissertation writing journey.
What’s the introduction chapter all about?
The purpose of the introduction chapter is to set the scene for your research (dare I say, to introduce it…) so that the reader understands what you’ll be researching and why it’s important. In other words, it covers the same ground as the research proposal in that it justifies your research topic.
What goes into the introduction chapter?
This can vary slightly between universities and degrees, but generally, the introduction chapter will include the following:
As you can see, this all about explaining the “what” and the “why” of your research (as opposed to the “how”). So, your introduction chapter is basically the salesman of your study, “selling” your research to the first-time reader and (hopefully) getting them interested to read more.
How do I write the introduction chapter, you ask? We cover that in detail in this post .
As I mentioned earlier, you’ll need to do some initial review of the literature in Steps 2 and 3 to find your research gap and craft a convincing research proposal – but that’s just scratching the surface. Once you reach the literature review stage of your dissertation or thesis, you need to dig a lot deeper into the existing research and write up a comprehensive literature review chapter.
What’s the literature review all about?
There are two main stages in the literature review process:
The first stage is for you to deep dive into the existing literature (journal articles, textbook chapters, industry reports, etc) to gain an in-depth understanding of the current state of research regarding your topic. While you don’t need to read every single article, you do need to ensure that you cover all literature that is related to your core research questions, and create a comprehensive catalogue of that literature , which you’ll use in the next step.
Reading and digesting all the relevant literature is a time consuming and intellectually demanding process. Many students underestimate just how much work goes into this step, so make sure that you allocate a good amount of time for this when planning out your research. Thankfully, there are ways to fast track the process – be sure to check out this article covering how to read journal articles quickly .
Once you’ve worked through the literature and digested it all, you’ll need to write up your literature review chapter. Many students make the mistake of thinking that the literature review chapter is simply a summary of what other researchers have said. While this is partly true, a literature review is much more than just a summary. To pull off a good literature review chapter, you’ll need to achieve at least 3 things:
As you can see, a good literature review is more than just a summary of the published research. It’s the foundation on which your own research is built, so it deserves a lot of love and attention. Take the time to craft a comprehensive literature review with a suitable structure .
But, how do I actually write the literature review chapter, you ask? We cover that in detail in this video post .
Once you’ve completed your literature review and have a sound understanding of the existing research, its time to develop your own research (finally!). You’ll design this research specifically so that you can find the answers to your unique research question.
There are two steps here – designing your research strategy and executing on it:
The first step is to design your research strategy and craft a methodology chapter . I won’t get into the technicalities of the methodology chapter here, but in simple terms, this chapter is about explaining the “how” of your research. If you recall, the introduction and literature review chapters discussed the “what” and the “why”, so it makes sense that the next point to cover is the “how” –that’s what the methodology chapter is all about.
In this section, you’ll need to make firm decisions about your research design. This includes things like:
If these words have got your head spinning, don’t worry! We’ll explain these in plain language in other posts. It’s not essential that you understand the intricacies of research design (yet!). The key takeaway here is that you’ll need to make decisions about how you’ll design your own research, and you’ll need to describe (and justify) your decisions in your methodology chapter.
Once you’ve worked out your research design, you’ll put it into action and start collecting your data. This might mean undertaking interviews, hosting an online survey or any other data collection method. Data collection can take quite a bit of time (especially if you host in-person interviews), so be sure to factor sufficient time into your project plan for this. Oftentimes, things don’t go 100% to plan (for example, you don’t get as many survey responses as you hoped for), so bake a little extra time into your budget here.
Once you’ve collected your data, you’ll need to do some data preparation before you can sink your teeth into the analysis. For example:
Once you’ve completed your data prep, you’ll undertake your analysis, using the techniques that you described in your methodology. Depending on what you find in your analysis, you might also do some additional forms of analysis that you hadn’t planned for. For example, you might see something in the data that raises new questions or that requires clarification with further analysis.
The type(s) of analysis that you’ll use depend entirely on the nature of your research and your research questions. For example:
Again, if these words have got your head spinning, don’t worry! We’ll explain these concepts and techniques in other posts. The key takeaway is simply that there’s no “one size fits all” for research design and methodology – it all depends on your topic, your research questions and your data. So, don’t be surprised if your study colleagues take a completely different approach to yours.
Once you’ve completed your analysis, it’s time to present your findings (finally!). In a dissertation or thesis, you’ll typically present your findings in two chapters – the results chapter and the discussion chapter .
What’s the difference between the results chapter and the discussion chapter?
While these two chapters are similar, the results chapter generally just presents the processed data neatly and clearly without interpretation, while the discussion chapter explains the story the data are telling – in other words, it provides your interpretation of the results.
For example, if you were researching the factors that influence consumer trust, you might have used a quantitative approach to identify the relationship between potential factors (e.g. perceived integrity and competence of the organisation) and consumer trust. In this case:
Depending on the university and degree, these two chapters (results and discussion) are sometimes merged into one , so be sure to check with your institution what their preference is. Regardless of the chapter structure, this section is about presenting the findings of your research in a clear, easy to understand fashion.
Importantly, your discussion here needs to link back to your research questions (which you outlined in the introduction or literature review chapter). In other words, it needs to answer the key questions you asked (or at least attempt to answer them).
For example, if we look at the sample research topic:
In this case, the discussion section would clearly outline which factors seem to have a noteworthy influence on organisational trust. By doing so, they are answering the overarching question and fulfilling the purpose of the research .
For more information about the results chapter , check out this post for qualitative studies and this post for quantitative studies .
Last but not least, you’ll need to wrap up your research with the conclusion chapter . In this chapter, you’ll bring your research full circle by highlighting the key findings of your study and explaining what the implications of these findings are.
What exactly are key findings? The key findings are those findings which directly relate to your original research questions and overall research objectives (which you discussed in your introduction chapter). The implications, on the other hand, explain what your findings mean for industry, or for research in your area.
Sticking with the consumer trust topic example, the conclusion might look something like this:
Key findings
This study set out to identify which factors influence consumer-based trust in British low-cost online equity brokerage firms. The results suggest that the following factors have a large impact on consumer trust:
While the following factors have a very limited impact on consumer trust:
Notably, within the 25-30 age groups, Factors E had a noticeably larger impact, which may be explained by…
Implications
The findings having noteworthy implications for British low-cost online equity brokers. Specifically:
The large impact of Factors X and Y implies that brokers need to consider….
The limited impact of Factor E implies that brokers need to…
As you can see, the conclusion chapter is basically explaining the “what” (what your study found) and the “so what?” (what the findings mean for the industry or research). This brings the study full circle and closes off the document.
You’re still with me? Impressive! I know that this post was a long one, but hopefully you’ve learnt a thing or two about how to write a dissertation or thesis, and are now better equipped to start your own research.
To recap, the 8 steps to writing a quality dissertation (or thesis) are as follows:
Once you’ve wrapped up the core chapters, all that’s typically left is the abstract , reference list and appendices. As always, be sure to check with your university if they have any additional requirements in terms of structure or content.
This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...
thankfull >>>this is very useful
Thank you, it was really helpful
unquestionably, this amazing simplified way of teaching. Really , I couldn’t find in the literature words that fully explicit my great thanks to you. However, I could only say thanks a-lot.
Great to hear that – thanks for the feedback. Good luck writing your dissertation/thesis.
This is the most comprehensive explanation of how to write a dissertation. Many thanks for sharing it free of charge.
Very rich presentation. Thank you
Thanks Derek Jansen|GRADCOACH, I find it very useful guide to arrange my activities and proceed to research!
Thank you so much for such a marvelous teaching .I am so convinced that am going to write a comprehensive and a distinct masters dissertation
It is an amazing comprehensive explanation
This was straightforward. Thank you!
I can say that your explanations are simple and enlightening – understanding what you have done here is easy for me. Could you write more about the different types of research methods specific to the three methodologies: quan, qual and MM. I look forward to interacting with this website more in the future.
Thanks for the feedback and suggestions 🙂
Hello, your write ups is quite educative. However, l have challenges in going about my research questions which is below; *Building the enablers of organisational growth through effective governance and purposeful leadership.*
Very educating.
Just listening to the name of the dissertation makes the student nervous. As writing a top-quality dissertation is a difficult task as it is a lengthy topic, requires a lot of research and understanding and is usually around 10,000 to 15000 words. Sometimes due to studies, unbalanced workload or lack of research and writing skill students look for dissertation submission from professional writers.
Thank you 💕😊 very much. I was confused but your comprehensive explanation has cleared my doubts of ever presenting a good thesis. Thank you.
thank you so much, that was so useful
Hi. Where is the excel spread sheet ark?
could you please help me look at your thesis paper to enable me to do the portion that has to do with the specification
my topic is “the impact of domestic revenue mobilization.
Your email address will not be published. Required fields are marked *
Save my name, email, and website in this browser for the next time I comment.
There are a number of reasons why you may choose one type of dissertation over another. Some are more academic in nature, whilst others tend to be more personal or practical . Academic justifications are important because the person marking your dissertation will expect to see such academic justifications in your final product. Personal and practical justifications are similarly important, not because these are something that a marker is looking for, but because the dissertation process can be tough. As a result, many of the decisions you make throughout the dissertation process (e.g., the choice of sampling strategy or data analysis techniques) will be influenced by factors such as cost, ease, convenience, and what skills you have or can learn in time. We briefly discuss these considerations below, and explain how they may influence the particular choice of dissertation type; after all, the academic, personal and practical justifications for a quantitative dissertation are different for qualitative or mixed methods dissertations.
You'll almost always been able to find an academic justification for your choice of dissertation, whether qualitative, quantitative or mixed methods. These academic justifications include factors that are generally philosophical or theoretical , or which refer to a particular research problem or idea .
The reasons that act as a justification for your dissertation will often become clear when you decide on the route you will follow within one of these three types of dissertation (i.e., a qualitative, quantitative or mixed methods dissertation). We have chosen not to go into any more detail about such academic justifications now because they are so specific to the route that you choose. However, you'll learn about these justifications in detail in the Quantitative Dissertations part of Lærd Dissertation, where you can choose between one of three routes (i.e., Route #1: Replication-based dissertations , Route #2: Data-driven dissertations , and Route #3: Theory-driven dissertations ).
One of the major challenges of doing a dissertation, especially if you are an undergraduate, is uncertainty : Can I plan out the dissertation process from the start? Will I be able to finish on time? Can I get my head around the research paradigms and research designs that guide my choice of dissertation (i.e., qualitative, quantitative or mixed methods)? Do I have the right skills to analyse qualitative or quantitative data? What software packages will I have to learn to do this, if any?
Dissertations are often worth a good proportion of your final year mark, if not the grade of your entire degree, so how tolerant you are to uncertainty matters. On this basis, think about the following:
Am I a bit of a planning freak?
If you are, you may prefer to take on a quantitative dissertation rather than qualitative dissertation . One of the broad advantages of quantitative dissertations is that they tend to be more sequential in nature, such that you can often set out, right from the start of the dissertation process, the various stages you will need to go through in order to answer your research questions or hypotheses. This is because in quantitative dissertations, it is far less common to change major components of the research process (e.g., your research questions or hypotheses, or research design), after you've decided what these are going to be, which you typically do at the very start of the dissertation process. Not only does this make it possible to plan what you will be doing from month-to-month, but it also reduces the uncertainty through the dissertation process. You'll see in the Quantitative Dissertations section how we have been able to provide comprehensive, step-by-step guides to walk you through the dissertation process, as well as chapter-by-chapter guides to show you how to write up.
By contrast, qualitative dissertations are not sequential, but reflexive and emergent in nature, which means that what you planned to do at the start of the dissertation process is more likely to have to be modified. Such modification takes place because one of the tenets of qualitative research is flexibility to allow for things that are learnt during the research process to be integrated (e.g., initial interviews may suggest that you need to add or omit a particular research question). Whilst such changes may only happen a few times, and may be minor in many cases, they do add an element of uncertainty. At a basic level, imagine the difference between knowing how many participants you need to have to fill in your questionnaire, and therefore, roughly how long this will take (i.e., a quantitative dissertation ), as opposed to being quite uncertain how many interviews you need to arrange to collect sufficient data to answer your research questions (i.e., a qualitative dissertation ). Whilst these might sound like small points, it can mean having to put aside another month to collect sufficient interview data in a qualitative dissertation compared with a quantitative one.
What are my strong points?
Whilst qualitative and quantitative dissertations are more than just the use of qualitative or qualitative research methods and data, there is no escaping the fact that qualitative dissertations use qualitative research methods and collect qualitative data (i.e., from unstructured interviews, focus groups, participant observation, etc.), and quantitative dissertations use quantitative research methods, collecting quantitative data (i.e., from data sets, surveys, structured interviews, structured observation, etc.). If you've spent your degree working with quantitative research designs (e.g., randomized control trials, pre- and post-test designs, relationship-based designs, etc.), as well as quantitative research methods and data, the logical choice might be to take on a quantitative dissertation . The same can be said for qualitative dissertations , since in both cases, the learning curve will be a lot higher if you're completely unaccustomed to the components that make up these different types of dissertation.
What am I interested in?
At the end of the day, the dissertation process is a long one, lasting around 6 months (in most cases). If you're not interested in experimental research, you prefer working with more unstructured research methods (e.g., depth interviews, unstructured observation, etc.), or you hate quantitative data analysis (i.e., any form of statistics), taking on a quantitative dissertation may not be a good idea. The same can be said for qualitative dissertations , which require a lot of perseverance and dedication, especially during the data collection process, which can be time consuming and requires a lot of toeing-and-froing. Choose a type of dissertation that is going to keep you interested, and which you will not find boring or demoralizing.
If you're taking on a qualitative dissertation , we wish you good luck (although you will still be able to learn a little about appropriate research methods and sampling techniques in the Fundamentals section of Lærd Dissertation). However, if you're taking on a quantitative dissertation (or a mixed methods dissertation that is mainly quantitative in its focus), go to the Quantitative Dissertations part of Lærd Dissertation now. We have extensive guides to help you through the process.
[email protected]
We may have qualitative, quantitative, and mixed methods in dissertations. This blog will elaborate on quantitative dissertations, qualitative dissertations, and mixed methods dissertations by addressing their similarities and differences.
We may have qualitative, quantitative, and mixed methods in dissertations. Therefore, this blog will elaborate on quantitative dissertations, qualitative dissertations, and mixed methods dissertations by addressing their similarities and differences.
Using the word quantitative does not mean that the dissertation must have quantitative research methods or statistical analysis techniques. Quantitative research deals with addressing research questions, hypotheses, or both. This research type relates to establishing a research strategy, concluding results, and making inferences. Classic investigations involve replication-based studies, theory-driven research, and data-driven dissertations. Nonetheless, many core characteristics pertain to quantitative dissertations regardless of the particular route you adopt on a quantitative dissertation.
They build on or test theories. These may include adopting an original or comprehensive approach with replication or modification.
They address quantitative research questions and test research hypotheses by rejecting or failure to reject the null hypothesis.
Positivist or post-positivist research paradigms affect them heavily.
They can have descriptive, experimental, quasi-experimental, or relationship-based research designs.
They resort to utilizing probability sampling techniques, generalizing from the sample to a broader population. In contrast, they may have to apply non-probability sampling techniques.
Research methods produce quantitative data (e.g., data sets, laboratory-based methods, questionnaires/surveys, structured interviews, and structured observation).
They depend on statistical analysis techniques while examining the data collected, irrespective of their descriptive or inferential structure.
They check the findings’ reliability and internal and external validity and may provide confidence intervals for the population parameters.
Statements, data, tables, and graphs are used to report their findings addressing each research question, hypothesis, or both.
Conclusions align with the findings, research questions, hypotheses, or both, and theories test or expand on extant ideas or provide insight for future approaches.
Qualitative dissertations involve qualitative research methods such as unstructured interviews, focus groups, and participant observation. As they use research methods not employed in quantitative dissertations, qualitative research is beyond a choice between research methods. Qualitative research regards the research process differently by establishing research questions, developing and utilizing theory, choosing a research strategy, and presenting and discussing research findings in a substantially unique way. Thus, qualitative dissertations will have a distinct approach, relying on the specific route you adopt (for example, case study research compared to ethnographies). The traditional ways are autoethnography, case study, ethnographies, grounded theory, narrative, and phenomenological research . Nonetheless, whatever path you pursue, many broad characteristics relate to qualitative dissertations:
They are considered emergent designs, implying that the research process, and sometimes even the qualitative research questions you handle, often develop during the dissertation process.
They employ many ways to tackle the theory - sometimes capitalizing on theory to assist the research process; in other times, utilizing it to develop new theoretical insights. They sometimes use both techniques. However, the goal is seldom to test a particular theory from the outset.
Many research paradigms support them, including interpretivism, constructivism, and critical theory.
They pursue research designs that radically affect your choices during the research process and the analysis and discussion of findings. Such research designs substantially vary based on the approach taken, whether autoethnography, case study research, ethnography, grounded theory, narrative research, and phenomenological research.
They employ theoretical sampling - non-probability sampling techniques – to explore cases most fit to address their research questions.
They study people in their natural settings by using multiple research methods. This process generates qualitative data involving unstructured interviews, focus groups, and participant observation.
They interpret the qualitative data from the researcher’s perspective and employ an inductive method to specific themes or abstractions, establishing a holistic/gestalt picture of the study.
They assess their findings’ quality concerning their dependability, confirmability, conformability, and transferability.
They elaborate on their findings primarily using personal accounts, case studies, and narratives. Moreover, they employ other means of describing themes or abstracts, processes, observations, and contradictions to address research questions.
They deliberate the theoretical mainly from the findings via the research questions and deduce tentative conclusions.
Many reasons exist to include mixed methods in thesis and dissertations . Mixed methods dissertations use both qualitative and quantitative approaches in research. Although they are increasingly used with a more profound legitimacy, their components have not been adequately addressed. One can better tackle a research question by gathering qualitative and quantitative data, analyzing or interpreting them individually or in combination, and conducting multiple research phases. Thus, it is critical to perform qualitative research to investigate an issue and unearth primary themes before employing quantitative analysis to assess the relationships between them.
Mixed methods often confront challenges because qualitative and quantitative research substantially vary structure-wise. They may even be said to oppose. Hence, when having a mixed methods dissertation, you should be careful about the goals of your research and must decide whether the qualitative or quantitative components are more crucial in philosophical, theoretical, and practical terms and whether they can be combined or kept separate.
Editing and proofreading your dissertation is exceedingly crucial . A professional editing and proofreading service has trained, experienced experts with PhD in their fields and will edit your work without prejudice. Their suggestions will make the dissertation or thesis more legible and practical. Another set of eyes can check your dissertation much better than you as they can readily find mistakes or areas that need fine-tuning. In academic writing, editing and proofreading ensure the credibility of the content. Many mistakes concerning grammar, punctuation, syntax, sentence construction and other minor errors are amended. An expert who will amend such mistakes will save time and ensure consistency and error-free writing for your thesis or dissertation.
How to Structure a Dissertation: A Brief Guide
Dissertation Submission Checklist: 5 Important Tips
How to Layout and Format a Dissertation: 10 Tips
How to Choose a Dissertation Editor in 3 Steps
A Step-by-Step Guide on Writing and Structuring Your Dissertation
Visit our order page if you want our subject-area editors or language experts to work on your manuscript to improve its tone and style and give it a perfect academic tone and style through proper editing and proofreading. The process of submitting a paper is very easy and quick. Click here to find out how it works.
Our pricing is based on the type of service you avail of here, be it editing or proofreading. We charge on the basis of the word count of your manuscript that you submit for editing and proofreading and the turnaround time it takes to get it done. If you want to get an instant price quote for your project, copy and paste your document or enter your word count into our pricing calculator.
Contact us to get support with academic editing and proofreading. We have a 24/7 active live chat mode to offer you direct support along with qualified editors to refine and furbish your manuscript.
Follow us on Twitter, LinkedIn, Facebook, Instagram, and Medium .
For more posts, click here.
This brief guide elaborates on quantitative dissertations, qualitative dissertations, and mixed methods dissertations by addressing their similarities and differences. To give you an opportunity to practice proofreading, we have left a few spelling, punctuation, or grammatical errors in the text. See if you can spot them! If you spot the errors correctly, you will be entitled to a 10% discount.
How to Determine Variability in a Dataset
How to Determine Central Tendency
How to Specify Study Variables in Research Papers?
Population vs Sample | Sampling Methods for a Dissertation
7 Issues to Avoid That may Dent the Quality of Thesis Writing
How to Ensure the Quality of Academic Writing in a Thesis and Dissertation?
How to Define Population and Sample in a Dissertation?
ANOVA vs MANOVA: Which Method to Use in Dissertations?
Some students find it difficult to understand and write error-free coursework papers. So, it requires pouring multiple skills, attention, and energy to frame impressive coursework. Here we present few such tips for flawless coursework.
Discussion chapter of a PhD thesis focuses on explaining and analyzing what you have researched, presenting how it is associated with the existing literature. It is also a place for argument supporting your entire discussion. We often find that people seek thesis writing help from experienced editing and proofreading services to prepare a flawless PhD discussion chapter. However, following 9 essential tips can help you design a perfect PhD thesis with an excellent discussion chapter.
When you enter the academic field or just begin writing a thesis, a dissertation, or an article for e peer-review journal, you will fumble upon countless new writing styles, fonts, formats, and citation styles. Academic writing differs from other forms of writing because it often follows a set of structures and involves the use of formal language, grammar, and words. Thus, you need to write in a particular style that carries its own rules and regulations. This article discusses the details and main rules of the Chicago Style Citation.
Maintaining parallel structure prevents writers from making grammatically incorrect sentences and helps them to improve their writing styles. Although lack of parallelism is not always strictly incorrect, sentences with the parallel structure are easier to read and add a sense of balance to your academic writing. In this article, we will focus on what is parallel structure and how to use parallel structure in academic writing.
Your thesis or dissertation ends with the conclusion. Its primary purposes include addressing the main research question, summarizing and echoing the study, presenting future studies recommendations, and depicting your contribution's novel knowledge.
LET US HELP
Welcome to Capella
Select your program and we'll help guide you through important information as you prepare for the application process.
FIND YOUR PROGRAM
Connect with us
A team of dedicated enrollment counselors is standing by, ready to answer your questions and help you get started.
August 16, 2023
Reading time: 3â4 minutes
Doctoral research is the cornerstone of a PhD program .
In order to write a dissertation, you must complete extensive, detailed research. Depending on your area of study, different types of research methods will be appropriate to complete your work.
âThe choice of research method depends on the questions you hope to answer with your research,â says Curtis Brant, PhD, Capella University dean of research and scholarship.
Once youâve identified your research problem, youâll employ the methodology best suited for solving the problem.
There are two primary dissertation research methods: qualitative and quantitative.
Qualitative research focuses on examining the topic via cultural phenomena, human behavior or belief systems. This type of research uses interviews, open-ended questions or focus groups to gain insight into peopleâs thoughts and beliefs around certain behaviors and systems.
Dr. Brant says there are several approaches to qualitative inquiry. The three most routinely used include:
Generic qualitative inquiry. The researcher focuses on peopleâs experiences or perceptions in the real world. This often includes, but is not limited to, subjective opinions, attitudes and beliefs .
Case study. The researcher performs an in-depth exploration of a program, event, activity or process with an emphasis on the experience of one or more individuals. The focus of this kind of inquiry must be defined and often includes more than one set of data, such as interviews and field notes, observations or other qualitative data.
Phenomenological. The researcher identifies lived experiences associated with how an individual encounters and engages with the real world .
Qualitative research questions seek to discover:
Quantitative research involves the empirical investigation of observable and measurable variables. It is used for theory testing, predicting outcomes or determining relationships between and among variables using statistical analysis.
According to Dr. Brant, there are two primary data sources for quantitative research.
Surveys: Surveys involve asking people a set of questions, usually testing for linear relationships, statistical differences or statistical independence. This approach is common in correlation research designs.
Archival research (secondary data analysis). Archival research involves using preexisting data to answer research questions instead of collecting data from active human participants.
Quantitative research questions seek to address:
Which method should you choose?
Choosing a qualitative or quantitative methodology for your research will be based on the nature of the questions you ask, the preferred method in your field, the feasibility of the approach and other factors. Many programs offer doctoral mentors and support teams that can help guide you throughout the process.
Capella University offers PhD and professional doctorate degree programs ranging from business to education and health to technology. Learn more about Capella doctoral programs and doctoral support.
January 8, 2020
December 11, 2019
November 25, 2019
Get started on your journey now by connecting with an enrollment counselor. See how Capella may be a good fit for you, and start the application process.
Your internet browser is in private browsing mode. Please turn off private browsing mode if you wish to use this site.
Published by Carmen Troy at August 13th, 2021 , Revised On June 14, 2023
“Research methods for a dissertation refer to the specific approaches, procedures, and techniques employed by researchers to investigate and gather data for their dissertation projects.”
These methods provide a systematic and structured framework for conducting research, ensuring the reliability, validity, and rigour of the study.
What are the different research methods for the dissertation, and which one should I use?
Choosing the right research method for a dissertation is a grinding and perplexing aspect of the dissertation research process. A well-defined research methodology helps you conduct your research in the right direction, validates the results of your research, and makes sure that the study you’re conducting answers the set research questions .
The research title, research questions, hypothesis , objectives, and study area generally determine the best research method in the dissertation.
This post’s primary purpose is to highlight what these different types of research methods involve and how you should decide which type of research fits the bill. As you read through this article, think about which one of these research methods will be the most appropriate for your research.
The practical, personal, and academic reasons for choosing any particular method of research are also analysed. You will find our explanation of experimental , descriptive , historical , quantitative , qualitative , and mixed research methods useful regardless of your field of study.
While choosing the right method of research for your own research, you need to:
A well-defined research methodology helps you conduct your research in the right direction, validates the results of your research, and makes sure that the study you are conducting answers the set research questions .
Research methods are the techniques and procedures used for conducting research. Choosing the right research method for your writing is an important aspect of the research process .
You need to either collect data or talk to the people while conducting any research. The research methods can be classified based on this distinction.
Proposal and dissertation orders completed by our expert writers are
Research methods are broadly divided into six main categories.
Descriptive research methods, historical research methods, quantitative research methods, qualitative research methods, mixed methods of research.
Experimental research includes the experiments conducted in the laboratory or observation under controlled conditions. Researchers try to study human behavior by performing various experiments. Experiments can vary from personal and informal natural comparisons. It includes three types of variables;
Laboratory experiments
The experiments were conducted in the laboratory. Researchers have control over the variables of the experiment.
Field experiment
The experiments were conducted in the open field and environment of the participants by incorporating a few artificial changes. Researchers do not have control over variables under measurement. Participants know that they are taking part in the experiment.
Natural experiments
The experiment is conducted in the natural environment of the participants. The participants are generally not informed about the experiment being conducted on them.
Example : Estimating the health condition of the population.
Quasi-experiments
A quasi-experiment is an experiment that takes advantage of natural occurrences. Researchers cannot assign random participants to groups.
Example: Comparing the academic performance of the two schools.
1. | 2. Methods of Analysing Data |
---|---|
Descriptive research aims at collecting the information to answer the current affairs. It follows the Ex post facto research, which predicts the possible reasons behind the situation that has already occurred. It aims to answer questions like how, what, when, where, and what rather than ‘why.’
1. | 2. Methods of Analysing Data |
---|---|
It studies the tables containing the groups’ means to compare and distinguish between the categorised and independent variables. It includes the tables containing the data of the participant groups and sub-groups of survey respondents. It is also known as paired testing, where two people are assigned specific identities and qualifications to compare and study types of discrimination. |
In historical research , an investigator collects, analyses the information to understand, describe, and explain the events that occurred in the past. Researchers try to find out what happened exactly during a certain period of time as accurately and as closely as possible. It does not allow any manipulation or control of variables.
1. | 2. Methods of Analysing Data |
---|---|
Researchers use multiple theories to explain specific phenomena, situations, and types of behavior. It takes a long to go through the textual data. Coding is a way of tagging the data and organising it into a sequence of symbols, numbers, and letters to highlight the relevant points. Quantitative data is used to validate interpretations of historical events or incidents. |
Quantitative research is associated with numerical data or data that can be measured. It is used to study a large group of population. The information is gathered by performing statistical, mathematical, or computational techniques.
Quantitative research isn’t simply based on statistical analysis or quantitative techniques but rather uses a certain approach to theory to address research hypotheses or research questions, establish an appropriate research methodology, and draw findings & conclusions .
Some most commonly employed quantitative research strategies include data-driven dissertations, theory-driven studies, and reflection-driven research. Regardless of the chosen approach, there are some common quantitative research features as listed below.
1. | 2. Methods of Analysing Data |
---|---|
It is a method of collecting, analysing, and interpreting ample data to discover underlying patterns and details. Statistics are used in every field to make better decisions. The correlational analysis is carried out to discover the interrelationship between the two or more aspects of a situation. It distributes values around some central value, such an average. Example: the distance separating the highest from the lowest value. It counts the maximum and a minimum number of responses to a question or the occurrence of a specific phenomenon. It determines the nature of social problems, such as ethnic or gender discrimination. It explains the relationship between one dependent binary variable and one or more independent variables. This parametric technique is used while comparing two populations or samples. |
We hear you.
At ResearchProspect, our expert writers can help you with your quantitative dissertation whether you are a sports science student, medical or biological science, education or business, psychology, social sciences, engineering, project management, or any other science-based degree. We guarantee 100% commitment, 100% Plagiarism-free work, 100% Confidentiality and 100% Satisfaction
It is a type of scientific research where a researcher collects evidence to seek answers to a question . It is associated with studying human behaviour from an informative perspective. It aims at obtaining in-depth details of the problem.
As the term suggests, qualitative research is based on qualitative research methods, including participants’ observations, focus groups, and unstructured interviews.
Qualitative research is very different in nature when compared to quantitative research. It takes an established path towards the research process , how research questions are set up, how existing theories are built upon, what research methods are employed, and how the findings are unveiled to the readers.
You may adopt conventional methods, including phenomenological research, narrative-based research, grounded theory research, ethnographies , case studies , and auto-ethnographies.
Again, regardless of the chosen approach to qualitative research, your dissertation will have unique key features as listed below.
Now that you know the unique differences between quantitative and qualitative research methods, you may want to learn a bit about primary and secondary research methods.
Here is an article that will help you distinguish between primary and secondary research and decide whether you need to use quantitative and/or qualitative primary research methods in your dissertation.
Alternatively, you can base your dissertation on secondary research, which is descriptive and explanatory in essence.
Action research
Action research aims at finding an immediate solution to a problem. The researchers can also act as the participants of the research. It is used in the educational field.
A case study includes data collection from multiple sources over time. It is widely used in social sciences to study the underlying information, organisation, community, or event. It does not provide any solution to the problem. Researchers cannot act as the participants of the research.
Ethnography
In this type of research, the researcher examines the people in their natural environment. Ethnographers spend time with people to study people and their culture closely. They can consult the literature before conducting the study.
1. | 2. Methods of Analysing Data |
---|---|
with open-ended questions | It is a method of studying and retrieving meaningful information from documents. It aims at identifying patterns of themes in the collected information, such as face-to-face interviews, texts, and transcripts. , field observations, and interviews. It is a study of how language is used in texts and contexts. |
When you combine quantitative and qualitative methods of research, the resulting approach becomes mixed methods of research.
Over the last few decades, much of the research in academia has been conducted using mixed methods because of the greater legitimacy this particular technique has gained for several reasons including the feeling that combining the two types of research can provide holistic and more dependable results.
Here is what mixed methods of research involve:
Note: However, this method has one prominent limitation, which is, as previously mentioned, combining qualitative and quantitative research can be difficult because they both are different in terms of design and approach. In many ways, they are contrasting styles of research, and so care must be exercised when basing your dissertation on mixed methods of research.
When choosing a research method for your own dissertation, it would make sense to carefully think about your research topic , research questions , and research objectives to make an intelligent decision in terms of the philosophy of research design .
Dissertations based on mixed methods of research can be the hardest to tackle even for PhD students.
Our writers have years of experience in writing flawless and to the point mixed methods-based dissertations to be confident that the dissertation they write for you will be according to the technical requirements and the formatting guidelines.
Read our guarantees to learn more about how you can improve your grades with our dissertation services.
Please Find Below an Example of Research Methods Section in a Dissertation or Thesis.
Diversity management became prominent in the late twentieth century, with foundations in America. Historically homogeneous or nondiverse nations, such as Finland, have not yet experienced the issues associated with rising cultural and ethnic diversity in the workforce. Regardless of the environment, workforce diversity garners greater attention and is characterised by its expanding relevance due to globalised and international companies, global and national worker mobility, demographic shifts, or enhancing productivity.
As a result, challenges of diversity management have been handled through legal, financial, and moral pressures (Hayes et al., 2020). The evolving structure of the working population in terms of language, ethnic background, maturity level, faith, or ethnocultural history is said to pose a challenge to human resource management (HRM) in utilising diversity: the understanding, abilities, and expertise prospects of the entire workforce to deal with possible developments.
The European approach to diversity management is regarded as growing. However, it is found to emphasise the relationship to business and lack competence in diversity management problems. Mass immigration concentrates variety, sometimes treated as cultural minority issues, implying the normalisation of anti-discrimination actions (Yadav and Lenka, 2020).
These causes, in turn, have provided the basis of comprehensive diversity research, which has generated different theories, frameworks, concepts, and guidelines from interdisciplinary viewpoints, such as industrial and organisational psychology and behaviour (OB), cultural studies, anthropology, migration, economics, postcolonialism, and so on. And in the form of international, social and cultural, organisational, group, and individual scale diversity analysis. This dissertation focuses on diversity concerns from impression management, specifically from HRM as an executive-level phenomenon (Seliverstova, 2021).
As conceptual frameworks, organisational structures concentrating on the production of diversity and social psychology, notably social identity theory with diverse ‘identities’ of persons or intergroup connections, are primarily employed. The study’s primary goal in the workplace is to discover inequities or examine the effects of diversity on workplace outcomes.
Individual study interests include behaviours, emotions, intelligence, intercultural skills or competencies, while group research interests include group dynamics, intergroup interactions, effectiveness, and cooperation or collaboration. Organisational studies address themes such as workforce composition, workplace equality, and diversity challenges and how they may be managed accordingly. Domestic diversity, omitting national distinctions, or global diversity, about diverse country cultures, might be studied further (AYDIN and ÖZEREN, 2018).
Diversity is a context-dependent, particular, comparative, complicated, plural phrase or idea with varying interpretations in different organisations and cultures and no unified definition. As a result, in addition to many internal and external elements, diversity may be managed, individuals taught, and organisations have grown in various ways. This dissertation considers diversity in an organisational environment as a construct of ‘differences’ to be handled (Cummings, 2018).
Various management systems have grown in stages, bringing diverse diversity management concepts. Equality/equal opportunities (EO) legislation and diversity management are the two conventional approaches and primary streams with differing theoretical foundations for managing and dealing with workforce diversity challenges (DM).
These approaches relate to whether diversity is handled by increasing sameness by legal pressures or by voluntarily respecting people’s differences, which shows an organisation’s responsiveness and proactivity toward managing diversity. But most of the literature in this area has avoided the impression management theories (Coad and Guenther, 2014). Therefore, this study will add a new dimension in this area by introducing impression management analysis.
This research aims to analyse the impact of organisational structure on human resources diversification from the viewpoint of impression managerial theory. It has the following objectives:
This research will answer the following questions:
The organisational structure significantly impacts the recruitment of diverse human resources.
According to Staniec and Zakrzewska-Bielawska (2010), considering strategy-oriented activities and organisational components are the critical foundation in the organisational structure required to align structure strategy. Each company’s internal organisation is somewhat distinctive, resulting from various corporate initiatives and historical conditions.
Furthermore, each design is based on essential success elements and vital tasks inherent in the firm plan. This article offers empirical research on unique organisational structure elements in Polish firms in the context of concentration and diversification tactics. And companies that adopted concentration techniques mainly used functional organisational structures.
Tasks were primarily classified and categorised based on functions and phases of the technical process, with coordination based on hierarchy. Jobs were also highly centralised and formalised. Organisational structures of an active type were also prevalent in many firms. Only a handful of the evaluated organisations possessed flexible contemporary divisional or matrix structures appropriate to differentiation. However, it appears that even such organisations should adjust their organisational solutions to perform successfully in an immensely complex and chaotic environment.
Similarly, according to Yang and Konrad (2011), diversity management techniques are the institutionalised methods created and applied by organisations to manage diversity among all organisational shareholders. They examined the existing research on the causes and significance of diversity management approaches.
They construct a research model indicating many potential routes for future study using institutional and resource-based theories. They also offer prospective avenues for study on diversity management techniques to further the two theoretical viewpoints. The findings indicate that research on diverse management practises might provide perceptions into the two ideologies. Diversity management provides a method for reconciling the agency vs structure issue for institutional concept.
Furthermore, diversity management is a suitable framework for studying how institutional pressures are translated into organisational action and the relationship between complying with institutional mandates and attaining high performance. Research on diversity management raises the importance of environmental normative elements in resource-based reasoning.
It allows for exploring essential resource sources and the co-evolution of diversity resources and management capacities, potentially developing dynamic resource-based theory. Furthermore, a review of the existing research on diversity management practices reveals that research in this field has nearly entirely concentrated on employee-related activities.
However, in establishing the idea of diversity management practises, we included the practises that companies put in place to manage diversity across all stakeholder groups on purpose. Management techniques for engaging with consumers, dealers, supervisors, board directors, and community members are critical for meeting institutional theory’s social and normative commitments.
Moreover, according to Sippola (2014), this research looks at diversity management from the standpoint of HRM. The study aims to discover the effects of expanding workforce diversity on HRM inside firms. This goal will be accomplished through four papers examining diversity management’s impacts on HRM from various viewpoints and mostly in longitudinal contexts.
The purpose of the first article, as a pilot survey, is to determine the reasons, advantages, and problems of rising cultural diversity and the consequences for HRM to get a preliminary grasp of the issue in the specific setting. According to the report, diversity is vital for productivity but is not often emphasised in HRM strategy.
The key areas that were changed were acquisition, development, and growth. The second article examines how different diversity management paradigms recognised in businesses affect HRM. It offers an experimentally verified typology that explains reactive or proactive strategic and operational level HRM activities in light of four alternative diversity management perspectives.
The third essay will examine how a ‘working culture bridge group’ strategy fosters and enhances workplace diversity. The research looks into how development goals are defined, what training and development techniques are used, and the consequences and causal factors when an analysis measures the training and development approach.
The primary goal of article four is to establish which components of diversity management design are globally integrated into multinational corporations (MNCs) and which integrating (delivery) methods are employed to facilitate it. Another goal is to identify the institutional problems faced by the Finnish national diversity setting during the integration process.
The findings show that the example organisation achieved more excellent global uniformity at the level of diversification concept through effective use of multiple frameworks but was forced to rely on a more multinational approach to implementing diversification policies and procedures. The difficulties faced emphasised the distinctiveness of Finland’s cognitive and normative institutional setting for diversity.
Furthermore, according to Guillaume et al. (2017), to compensate for the dual-edged character of demographic workplace diversity impacts on social inclusion, competence, and well-being-related factors, research has shifted away from straightforward main effect methods and begun to investigate factors that moderate these effects.
While there is no shortage of primary research on the circumstances that lead to favourable or poor results, it is unknown which contextual elements make it work. Using the Classification framework as a theoretical lens, they examine variables that moderate the impacts of workplace diversity on social integration, performance, and well-being outcomes, emphasising characteristics that organisations and managers can influence.
They suggest future study directions and end with practical applications. They concluded that faultlines, cross-categorisation, and status variations across demographic groupings highlight variety. Cross-categorisation has been proven to reduce intergroup prejudice while promoting social inclusion, competence, and well-being. Whether faultlines and subgroup status inequalities promote negative or good intergroup interactions and hinder social integration, performance, and well-being depends on whether situational factors encourage negative or positive intergroup connections. The impacts were not mitigated by team size or diversity type.
Furthermore, our data demonstrate that task characteristics are essential for workgroup diversity. Any demographic diversity in workgroups can promote creativity, but only when combined with task-relevant expertise improves the performance of teams undertaking complicated tasks. The type of team and the industrial context do not appear to play an effect. It is unclear if these findings apply to relational demography and organisational diversity impacts. There is some evidence that, under some settings, relational demography may increase creativity, and, as previously said, demographic variety may help firms function in growth-oriented strategy contexts.
Likewise, according to Ali, Tawfeq, and Dler (2020), diversity management refers to organisational strategies that strive to increase the integration of people from diverse backgrounds into the framework of corporate goals. Organisations should develop productive ways to implement diversity management (DM) policies to establish a creative enterprise that can enhance their operations, goods, and services.
Furthermore, human resource management HRM is a clever tool for any firm to manage resources within the company. As a result, this article explores the link between DM, HR policies, and workers’ creative work-related behaviours in firms in Kurdistan’s Fayoum city. According to the questionnaire, two hypotheses were tested: the influence of HRM on diversity management, HRM on innovation, and the impact of diversity management on innovation.
The first premise is that workplace diversity changes the nature of working relationships, how supervisors and managers connect, and how workers respond to one another. It also addresses human resource functions such as record-keeping, training, recruiting, and employee competence needs. The last premise on the influence of diversity management on innovation is that workplace diversity assists a business in hiring a diverse range of personnel.
In other words, a vibrant population need individuals of varied personalities. Workplace diversity refers to a company’s workforce consisting of employees of various genders, ages, faiths, races, ethnicities, cultural backgrounds, religions, dialects, training, capabilities, etc. According to the study’s findings, human resource management strategies have a substantial influence on diversity management.
Second, diversity management was found to have a considerable impact on creativity. Finally, human resource management techniques influenced innovation significantly. Based on the findings, it was discovered that diversity management had a more significant influence on creation than human resource management.
Lastly, according to Li et al. (2021), the universal trend of rising workplace age diversity has increased the study focus on the organisational effects of age-diverse workforces. Prior research has mainly concentrated on the statistical association between age diversity and organisational success rather than experimentally examining the probable processes behind this relationship.
They argue that age diversity influences organisational performance through human and social capital using an intellectual capital paradigm. Moreover, they investigate workplace functional diversity and age-inclusive management as two confounding factors affecting the benefits of age diversity on physical and human capital.
Their hypotheses were evaluated using data from the Association for Human Resource Management’s major manager-reported workplace survey. Age diversity was favourably linked with organisational performance via the mediation of higher human and social capital. Furthermore, functional diversity and age-inclusive management exacerbated the favourable benefits of age variety on human and social capital. Their study gives insight into how age-diverse workforces might generate value by nurturing knowledge-based organisational resources.
Although there is a vast body of research in diversity in the human resource management area, many researchers explored various dimensions. But no study explicitly discovers the impact of organisational culture on human resource diversification. Moreover, no researchers examined the scope of impression management in this context.
Therefore, this research will fill this considerable literature gap by finding the direct impact of organisational structure on human resource diversification. Secondly, by introducing a new dimension of impression management theory. It will open new avenues for research in this area, and it will help HR managers to formulate better policies for a more inclusive organisational structure.
It will be mixed quantitative and qualitative research based on the secondary data collected through different research journals and case studies of various companies. Firstly, the quantitative analysis will be conducted through a regression analysis to show the organisational structure’s impact on human resource diversification.
The dummy variable will be used to show organisational structure, and diversification will be captured through the ethnic backgrounds of the employees. Moreover, different variables will be added to the model, such as competency, social inclusion, etc. It will fulfil the objective of identifying various factors which affect the management decision to recruit diverse human resources. Secondly, a systematic review of the literature will be conducted for qualitative analysis to add the impression management dimension to the research. Google Scholar, JSTOR, Scopus, etc., will be used to search keywords such as human resource diversity, impression management, and organisation structure.
Although research offers a comprehensive empirical analysis on the relationship under consideration due to lack of resources, the study is limited to secondary data. It would be better if the research would’ve been conducted on the primary data collected through the organisations. That would’ve captured the actual views of the working professionals. It would’ve increased the validity of the research.
Ali, M., Tawfeq, A., & Dler, S. (2020). Relationship between Diversity Management and Human Resource Management: Their Effects on Employee Innovation in the Organizations. Black Sea Journal of Management and Marketing, 1 (2), 36-44.
AYDIN, E., & ÖZEREN, E. (2018). Rethinking workforce diversity research through critical perspectives: emerging patterns and research agenda. Business & Management Studies: An International Journal, 6 (3), 650-670.
Coad, A., & Guenther, C. (2014). Processes of firm growth and diversification: theory and evidence. Small Business Economics, 43 (4), 857-871.
Cummings, V. (2018). Economic Diversification and Empowerment of Local Human Resources: Could Singapore Be a Model for the GCC Countries?. In. Economic Diversification in the Gulf Region, II , 241-260.
Guillaume, Y., Dawson, J., Otaye‐Ebede, L., Woods, S., & West, M. (2017). Harnessing demographic differences in organizations: What moderates the effects of workplace diversity? Journal of Organizational Behavior, 38 (2), 276-303.
Hayes, T., Oltman, K., Kaylor, L., & Belgudri, A. (2020). How leaders can become more committed to diversity management. Consulting Psychology Journal: Practice and Research, 72 (4), 247.
Li, Y., Gong, Y., Burmeister, A., Wang, M., Alterman, V., Alonso, A., & Robinson, S. (2021). Leveraging age diversity for organizational performance: An intellectual capital perspective. Journal of Applied Psychology, 106 (1), 71.
Seliverstova, Y. (2021). Workforce diversity management: a systematic literature review. Strategic Management, 26 (2), 3-11.
Sippola, A. (2014). Essays on human resource management perspectives on diversity management. Vaasan yliopisto.
Staniec, I., & Zakrzewska-Bielawska, A. (2010). Organizational structure in the view of single business concentration and diversification strategies—empirical study results. Recent advances in management, marketing, finances. WSEAS Press, Penang, Malaysia .
Yadav, S., & Lenka, U. (2020). Diversity management: a systematic review. Equality, Diversity and Inclusion: An International Journal .
Yang, Y., & Konrad, A. (2011). Understanding diversity management practices: Implications of institutional theory and resource-based theory. Group & Organization Management, 36 (1), 6-38.
What is the difference between research methodology and research methods.
Research methodology helps you conduct your research in the right direction, validates the results of your research and makes sure that the study you are conducting answers the set research questions.
Research methods are the techniques and procedures used for conducting research. Choosing the right research method for your writing is an important aspect of the research process.
The types of research methods include:
Quantitative research is associated with numerical data or data that can be measured. It is used to study a large group of population. The information is gathered by performing statistical, mathematical, or computational techniques.
It is a type of scientific research where a researcher collects evidence to seek answers to a question . It is associated with studying human behavior from an informative perspective. It aims at obtaining in-depth details of the problem.
Mixed methods of research involve:
Thematic analysis is commonly used for qualitative data. Researchers give preference to thematic analysis when analysing audio or video transcripts.
You can transcribe an interview by converting a conversation into a written format including question-answer recording sessions between two or more people.
This post provides the key disadvantages of secondary research so you know the limitations of secondary research before making a decision.
USEFUL LINKS
LEARNING RESOURCES
COMPANY DETAILS
Keep up-to-date on postgraduate related issues with our quick reads written by students, postdocs, professors and industry leaders.
Research is about using established methods to investigate a problem or question in detail with the aim of generating new knowledge about it.
It is a vital tool for scientific advancement because it allows researchers to prove or refute hypotheses based on clearly defined parameters, environments and assumptions. Due to this, it enables us to confidently contribute to knowledge as it allows research to be verified and replicated.
Knowing the types of research and what each of them focuses on will allow you to better plan your project, utilises the most appropriate methodologies and techniques and better communicate your findings to other researchers and supervisors.
There are various types of research that are classified according to their objective, depth of study, analysed data, time required to study the phenomenon and other factors. It’s important to note that a research project will not be limited to one type of research, but will likely use several.
Theoretical research.
Theoretical research, also referred to as pure or basic research, focuses on generating knowledge , regardless of its practical application. Here, data collection is used to generate new general concepts for a better understanding of a particular field or to answer a theoretical research question.
Results of this kind are usually oriented towards the formulation of theories and are usually based on documentary analysis, the development of mathematical formulas and the reflection of high-level researchers.
Here, the goal is to find strategies that can be used to address a specific research problem. Applied research draws on theory to generate practical scientific knowledge, and its use is very common in STEM fields such as engineering, computer science and medicine.
This type of research is subdivided into two types:
Exploratory research.
Exploratory research is used for the preliminary investigation of a subject that is not yet well understood or sufficiently researched. It serves to establish a frame of reference and a hypothesis from which an in-depth study can be developed that will enable conclusive results to be generated.
Because exploratory research is based on the study of little-studied phenomena, it relies less on theory and more on the collection of data to identify patterns that explain these phenomena.
The primary objective of descriptive research is to define the characteristics of a particular phenomenon without necessarily investigating the causes that produce it.
In this type of research, the researcher must take particular care not to intervene in the observed object or phenomenon, as its behaviour may change if an external factor is involved.
Explanatory research is the most common type of research method and is responsible for establishing cause-and-effect relationships that allow generalisations to be extended to similar realities. It is closely related to descriptive research, although it provides additional information about the observed object and its interactions with the environment.
The purpose of this type of scientific research is to identify the relationship between two or more variables. A correlational study aims to determine whether a variable changes, how much the other elements of the observed system change.
Qualitative research.
Qualitative methods are often used in the social sciences to collect, compare and interpret information, has a linguistic-semiotic basis and is used in techniques such as discourse analysis, interviews, surveys, records and participant observations.
In order to use statistical methods to validate their results, the observations collected must be evaluated numerically. Qualitative research, however, tends to be subjective, since not all data can be fully controlled. Therefore, this type of research design is better suited to extracting meaning from an event or phenomenon (the ‘why’) than its cause (the ‘how’).
Quantitative research study delves into a phenomena through quantitative data collection and using mathematical, statistical and computer-aided tools to measure them . This allows generalised conclusions to be projected over time.
Experimental research.
It is about designing or replicating a phenomenon whose variables are manipulated under strictly controlled conditions in order to identify or discover its effect on another independent variable or object. The phenomenon to be studied is measured through study and control groups, and according to the guidelines of the scientific method.
Also known as an observational study, it focuses on the analysis of a phenomenon in its natural context. As such, the researcher does not intervene directly, but limits their involvement to measuring the variables required for the study. Due to its observational nature, it is often used in descriptive research.
It controls only some variables of the phenomenon under investigation and is therefore not entirely experimental. In this case, the study and the focus group cannot be randomly selected, but are chosen from existing groups or populations . This is to ensure the collected data is relevant and that the knowledge, perspectives and opinions of the population can be incorporated into the study.
Deductive investigation.
In this type of research, reality is explained by general laws that point to certain conclusions; conclusions are expected to be part of the premise of the research problem and considered correct if the premise is valid and the inductive method is applied correctly.
In this type of research, knowledge is generated from an observation to achieve a generalisation. It is based on the collection of specific data to develop new theories.
It is based on observing reality to make a hypothesis, then use deduction to obtain a conclusion and finally verify or reject it through experience.
Longitudinal study (also referred to as diachronic research).
It is the monitoring of the same event, individual or group over a defined period of time. It aims to track changes in a number of variables and see how they evolve over time. It is often used in medical, psychological and social areas .
Cross-sectional research design is used to observe phenomena, an individual or a group of research subjects at a given time.
Primary research.
This fundamental research type is defined by the fact that the data is collected directly from the source, that is, it consists of primary, first-hand information.
Unlike primary research, secondary research is developed with information from secondary sources, which are generally based on scientific literature and other documents compiled by another researcher.
Documentary (cabinet).
Documentary research, or secondary sources, is based on a systematic review of existing sources of information on a particular subject. This type of scientific research is commonly used when undertaking literature reviews or producing a case study.
Field research study involves the direct collection of information at the location where the observed phenomenon occurs.
Laboratory research is carried out in a controlled environment in order to isolate a dependent variable and establish its relationship with other variables through scientific methods.
Mixed research methodologies combine results from both secondary (documentary) sources and primary sources through field or laboratory research.
The answer is simple: there is no age limit for doing a PhD; in fact, the oldest known person to have gained a PhD in the UK was 95 years old.
The purpose of research is to enhance society by advancing knowledge through developing scientific theories, concepts and ideas – find out more on what this involves.
In Finland, all new PhD holders are given a traditional Doctoral Hat and Doctoral Sword during a Conferment Ceremony, symbolising the freedom of research.
Join thousands of other students and stay up to date with the latest PhD programmes, funding opportunities and advice.
Find out the different dissertation and thesis binding options, which is best, advantages and disadvantages, typical costs, popular services and more.
You’ll come across many academics with PhD, some using the title of Doctor and others using Professor. This blog post helps you understand the differences.
Dr Hothi gained his PhD in Orthopaedic Engineering from Queen Mary University of London in 2012. He is now the Implant Science Fellow at the Royal National Orthopaedic Hospital, researching how to improve knee, hip and spine implants.
Freija is half way through her PhD at the Energy and Environment Institute, University of Hull, researching the transport of microplastics through the Mekong River and to the South China Sea.
Run a free plagiarism check in 10 minutes, generate accurate citations for free.
Methodology
Research methods are specific procedures for collecting and analyzing data. Developing your research methods is an integral part of your research design . When planning your methods, there are two key decisions you will make.
First, decide how you will collect data . Your methods depend on what type of data you need to answer your research question :
Second, decide how you will analyze the data .
Methods for collecting data, examples of data collection methods, methods for analyzing data, examples of data analysis methods, other interesting articles, frequently asked questions about research methods.
Data is the information that you collect for the purposes of answering your research question . The type of data you need depends on the aims of your research.
Your choice of qualitative or quantitative data collection depends on the type of knowledge you want to develop.
For questions about ideas, experiences and meanings, or to study something that can’t be described numerically, collect qualitative data .
If you want to develop a more mechanistic understanding of a topic, or your research involves hypothesis testing , collect quantitative data .
Qualitative | to broader populations. . | |
---|---|---|
Quantitative | . |
You can also take a mixed methods approach , where you use both qualitative and quantitative research methods.
Primary research is any original data that you collect yourself for the purposes of answering your research question (e.g. through surveys , observations and experiments ). Secondary research is data that has already been collected by other researchers (e.g. in a government census or previous scientific studies).
If you are exploring a novel research question, you’ll probably need to collect primary data . But if you want to synthesize existing knowledge, analyze historical trends, or identify patterns on a large scale, secondary data might be a better choice.
Primary | . | methods. |
---|---|---|
Secondary |
In descriptive research , you collect data about your study subject without intervening. The validity of your research will depend on your sampling method .
In experimental research , you systematically intervene in a process and measure the outcome. The validity of your research will depend on your experimental design .
To conduct an experiment, you need to be able to vary your independent variable , precisely measure your dependent variable, and control for confounding variables . If it’s practically and ethically possible, this method is the best choice for answering questions about cause and effect.
Descriptive | . . | |
---|---|---|
Experimental |
Professional editors proofread and edit your paper by focusing on:
See an example
Research method | Primary or secondary? | Qualitative or quantitative? | When to use |
---|---|---|---|
Primary | Quantitative | To test cause-and-effect relationships. | |
Primary | Quantitative | To understand general characteristics of a population. | |
Interview/focus group | Primary | Qualitative | To gain more in-depth understanding of a topic. |
Observation | Primary | Either | To understand how something occurs in its natural setting. |
Secondary | Either | To situate your research in an existing body of work, or to evaluate trends within a research topic. | |
Either | Either | To gain an in-depth understanding of a specific group or context, or when you don’t have the resources for a large study. |
Your data analysis methods will depend on the type of data you collect and how you prepare it for analysis.
Data can often be analyzed both quantitatively and qualitatively. For example, survey responses could be analyzed qualitatively by studying the meanings of responses or quantitatively by studying the frequencies of responses.
Qualitative analysis is used to understand words, ideas, and experiences. You can use it to interpret data that was collected:
Qualitative analysis tends to be quite flexible and relies on the researcher’s judgement, so you have to reflect carefully on your choices and assumptions and be careful to avoid research bias .
Quantitative analysis uses numbers and statistics to understand frequencies, averages and correlations (in descriptive studies) or cause-and-effect relationships (in experiments).
You can use quantitative analysis to interpret data that was collected either:
Because the data is collected and analyzed in a statistically valid way, the results of quantitative analysis can be easily standardized and shared among researchers.
Research method | Qualitative or quantitative? | When to use |
---|---|---|
Quantitative | To analyze data collected in a statistically valid manner (e.g. from experiments, surveys, and observations). | |
Meta-analysis | Quantitative | To statistically analyze the results of a large collection of studies. Can only be applied to studies that collected data in a statistically valid manner. |
Qualitative | To analyze data collected from interviews, , or textual sources. To understand general themes in the data and how they are communicated. | |
Either | To analyze large volumes of textual or visual data collected from surveys, literature reviews, or other sources. Can be quantitative (i.e. frequencies of words) or qualitative (i.e. meanings of words). |
Discover proofreading & editing
If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.
Research bias
Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.
Quantitative methods allow you to systematically measure variables and test hypotheses . Qualitative methods allow you to explore concepts and experiences in more detail.
In mixed methods research , you use both qualitative and quantitative data collection and analysis methods to answer your research question .
A sample is a subset of individuals from a larger population . Sampling means selecting the group that you will actually collect data from in your research. For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.
In statistics, sampling allows you to test a hypothesis about the characteristics of a population.
The research methods you use depend on the type of data you need to answer your research question .
Methodology refers to the overarching strategy and rationale of your research project . It involves studying the methods used in your field and the theories or principles behind them, in order to develop an approach that matches your objectives.
Methods are the specific tools and procedures you use to collect and analyze data (for example, experiments, surveys , and statistical tests ).
In shorter scientific papers, where the aim is to report the findings of a specific study, you might simply describe what you did in a methods section .
In a longer or more complex research project, such as a thesis or dissertation , you will probably include a methodology section , where you explain your approach to answering the research questions and cite relevant sources to support your choice of methods.
Other students also liked, writing strong research questions | criteria & examples.
I've been using Scribbr for years now and I know it's a service that won't disappoint. It does a good job spotting mistakes”
Introduction to dissertation: a brief explanation, types of dissertation, introduction to research, different types of dissertation research, how to choose right dissertation research method, facing issue in structuring your dissertation ask experts.
A dissertation is an academic task that provides the student's opportunity to write a substantial piece on an interesting topic, or students can also choose from different types of dissertation . This is one of the chances that the students can produce the work of the scholarship using the other academic skills they have developed. When it comes to preparing the doctoral dissertation, then it takes extreme perseverance. Master's or Ph.D. students must submit their dissertation to get their doctoral degrees. So after the sleepless nights and the labor-intensive research, you are ready to present the culmination of your hard work.
For this reason, having a solid knowledge base can be tricky, even though sometimes deciding where to begin and what to write is daunting. University and college students are worried about completing their dissertation writing task and completing their master's or Ph.D. write-up. Also, they must be aware of the things associated with writing the dissertation. One of them is the types of dissertation and how to conduct the research for the dissertation types. So in this blog, we will provide information about the different types of dissertation .
Need Personalised Assistance from Our Experts?
Share Your Requirements via Whatsapp!
Dissertation, whenever students hear this word, they say it is a long piece of the academic write-up. It is based on the original research that the students conducted during the time of the writing task. A dissertation is the final step to finishing the Ph.D. program. For the students, the dissertation is one of the most extended pieces of academic writing they have ever completed. While writing the dissertation requires research, writing, and analysis, skills, and it can be intimidating to know where to start or begin with the write-up. The dissertation has three types, so let's learn about the different types of dissertation .
When it comes to the types of the dissertation, then there are three main types of the dissertation. They are qualitative, quantitative, and mixed methods in the dissertation types. Therefore this blog will elaborate on the different types of dissertation by addressing their similarities and differences.
Several students need clarification when they read or hear the word quantitative and types of methodology in dissertation . Here the word quantitative does not mean that the whole dissertation should be a quantitative research method or the usage of statistical analysis techniques. Instead, it addresses the research questions, hypotheses, or both. This is the type of research that helps to relate to establish the research strategy, conclude results, and make inferences.
This is the second type of dissertation involving qualitative research methods. These methods are judged in the form of unstructured interviews, focus groups, and participant observation. Although several students use the research methods not employed in the quantitative dissertations, qualitative research is beyond the choice between the research methods. Stuck on how to write dissertation methodology , then consult experts. On the other hand, the research process is differently done by establishing the research questions, developing and utilizing the theoretical methods, and much more in a unique way.
This is the last or third type of dissertation that is mixed methods. There are several reasons why students need to include mixed methods in the form of the thesis and the dissertations with various types of research dissertation . In this type of dissertation, students use both qualitative and quantitative approaches during the research. These types of dissertations are increasingly used with more profound legitimacy, and their components need to be adequately addressed.
Those mentioned above are the three types of dissertation. However, while writing the dissertation, research also plays a vital role. So know what research is and how to use different research methods for dissertation introduction writing .
Also Read: What to Do If I Fail My Dissertation? What is the Solution?
Need an Informative and Error-Free Dissertation
Choose Us for Assistance and Get an Excellent Submission On-Time
Selecting the correct research method for the dissertation is one of the most frustrating tasks for students. However, a student with a well-defined research methodology helps them conduct the research in the right direction. Also, it allows them to validate the results and ensures that the study that students are working on answers the hard research questions to plan your dissertation .
Several things come under the research title, and the research title, questions, hypothesis, objectives, and all the study areas are generally helpful in determining the best research methods. So what are you waiting for? Your professor assigned you the dissertation writing task then it is the right time to choose the type of dissertations research to make your job easier for you.
Below mentioned are the different types of dissertation methodology that students can conduct while conducting it.
Numerical data or data that may be quantified are linked to quantitative research. It is employed to research a sizable population. Statistical, mathematical, or computational methods are used to collect the data.
It is a scientific investigation in which a researcher gathers data to find solutions to a problem. It has to do with learning about human behavior through research. It seeks to understand all the pertinent information about the issue.
Mixed research methods result from combining quantitative and qualitative research methodologies. Much academic research has been undertaken utilising mixed methods over the previous few decades due to the increased legitimacy this specific strategy has earned. It includes the idea that combining the two types of study can produce comprehensive and more reliable results.
Laboratory experiments and observational studies under controlled settings are considered experimental research. Various experiments are carried out to understand human behavior better. Investigations range from simple natural comparisons to personal observations, which helps to prepare a perfect dissertation .
In historical research, a researcher gathers and examines data to comprehend, characterise, and justify previous occurrences. Researchers attempt to ascertain precisely and closely what occurred during a specific historical period. It forbids any variable manipulation or control.
The goal of descriptive research is to gather data to address contemporary issues. It is based on Ex post facto research, which hypothesises potential causes for an already-occurring phenomenon. Instead of managing "why," it seeks to address questions like "how," "what," "when," "where," and "what."
With the help of the above-mentioned details, students can know how many types of research for dissertation are, and they can make the perfect dissertation structure . But some students need help choosing what type of research is best for them and for their write-up. So with the below-mentioned section, you will know how to select the suitable research method for your dissertation.
Also Read: How to Write a Dissertation Conclusion to Make a Perfect Ending?
Some students need clarification after getting the information about the different dissertation types and research types. But why? They still need clarification on choosing the dissertation research type that is perfect for them. Every student needs to discern what they hope for their doctoral program. At the same time, consider the right dissertation research method. There are a couple of things that need to be considered. So they are:
Still, have doubts? If you do not get the correct answer, then do not worry. This is the right time to consult expert writers.
Need Help with Dissertation?
Get a 100% Original Dissertation Written by EXPERTS
When it comes to writing the dissertation then it is a lengthy task. While writing the dissertation, several things arise in the student's life, so experts are here to help them improve writing skills . Assignmentdesk.co.uk experts have vast knowledge in the field of academic writing services. Several students face issues in drafting or structuring their dissertation, so they consult our experts. Professionals will provide fantastic work from scratch. As a result, you can able to secure high academic grades. With the help of the dissertation writing services students are able to get their every query solved. Therefore, shed off all academic worries by getting a reliable consultation with us. On the other hand, several students need help to choose dissertation topic for the write-up they can ask for the experts to use.
Try Before You Buy !
Get Free PDF Link Directly to your WhatsApp !
Great!! Sumsa Free PDF Template has been delivered on your WhatsApp Number.
Get A+ Within Your Budget!
Price Calculator
Offers & Benefits
Get upto 55% OFF on Your First Order !
Extra 25% OFF on Your First Order !
Coupon Code
Get all these features for
USD 80.67 FREE
Professional assignment writers.
Choose a writer for your task among hundreds of professionals
Please rotate your device
We don't support landscape mode yet. Please go back to portrait mode for the best experience
We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you are happy with it. Know more
Professional Academic Help at Pocket-Friendly Prices!
Estimated Price
Limited Time Offer
Exclusive Library Membership + FREE Wallet Balance
1 Month Access !
5000 Student Samples
10,000 Answers by Experts
Get $300 Now
Types Of Thesis Statements
Published on: Sep 3, 2024
Last updated on: Sep 3, 2024
People also read
If you’ve come to this, You might be asking yourself, "How many types of thesis statements are there?"
Well, there are different types of thesis statements, each designed for a specific kind of essay. If you’re looking to inform, persuade, or analyze, picking the right type of thesis statement is key.
We’ll explore the main types and even some you might not be familiar with, giving you clear examples to guide you along the way.
By the end of this blog, you'll know all about the different types of thesis statements in essays and how to use them in your writing.
Let's get started and make your essays more structured and impactful!
A thesis statement is a single sentence that tells the main idea or point of your essay. A good thesis statement clearly explains what your essay is about and what you’re trying to show or argue.
Depending on the nature and the type of paper you’re writing, thesis statements can be divided into three primary types.
An explanatory or expository thesis statement is all about giving information and explaining something. When you use this type, you’re setting up your essay to provide details, describe a process, or clarify a concept. Your goal is to inform the reader rather than to argue or analyze.
Example: “The process of photosynthesis involves the conversion of sunlight into energy, which plants use to grow and produce oxygen.”
In this example, the thesis statement clearly indicates that the essay will explain how photosynthesis works. It doesn’t try to persuade the reader or analyze different aspects; it simply provides information on a topic.
In this example, the thesis statement clearly indicates that the argumentative essay will explain how photosynthesis works. It doesn’t try to persuade the reader or analyze different aspects; it simply provides information on a topic.
Example: “Implementing a four-day workweek would increase productivity and improve employee well-being, making it a beneficial change for modern businesses.”
Here, the thesis statement makes a clear argument that the four-day workweek is a positive change. The essay will then focus on providing evidence and reasons to support this point of view, as well as addressing any opposing views.
An analytical thesis statement breaks down a topic into its components and examines them. It’s used when you want to analyze how something works or evaluate different parts of a subject. This type of thesis statement is great for essays that involve analyzing literature, processes, or events.
Example: “In Shakespeare’s Hamlet , the use of soliloquies reveals the internal conflicts of the characters, illustrating their struggles with morality and action.”
This thesis statement sets up an essay that will analyze how soliloquies in Hamlet reflect the characters’ inner conflicts. It shows that the essay will dissect the use of these soliloquies and explain their significance.
Besides the major types of thesis statements, there are several others that you might come across. Each type serves a different purpose and helps shape your essay in specific ways. Here’s a quick look at some commonly used kinds of thesis statements:
Persuasive Thesis Statement
Narrative Thesis Statement
Descriptive Thesis Statement
Comparative Thesis Statement
Cause and Effect Thesis Statement
Evaluative Thesis Statement
Open Thesis Statement:
Closed Thesis Statement:
Choosing the right thesis statement is essential for guiding your essay in the right direction. To find the best fit, consider the following steps:
In Summary,
So, what’s the takeaway from all these different types of thesis statements? Understanding and choosing the right one can make a huge difference in how you communicate your ideas. Each type has its own role in shaping your essay.
If you need a helping hand with writing thesis statements, don’t worry—there’s help available. Try using the thesis statement generator from MyEssayWriter.ai . It’s a powerful tool that can guide you in creating a strong, clear thesis statement tailored to your essay’s needs.
Give our essay writer a try and take the guesswork out of your writing process!
What is the 3 parts of a thesis statement.
A theme statement is a sentence that shows the main message or big idea of a story. Instead of just summarizing what happens, it explains what the author wants to say about life, society, or people through the story.
Its types are:
Caleb S. (Mass Literature and Linguistics, Masters)
Caleb S. is an accomplished author with over five years of experience and a Master's degree from Oxford University. He excels in various writing forms, including articles, press releases, blog posts, and whitepapers. As a valued author at MyEssayWriter.ai, Caleb assists students and professionals by providing practical tips on research, citation, sentence structure, and style enhancement.
On This Page On This Page
Get Access to Advanced Features with our Affordable Plans
Complimentary Trial
Continue for FREE
OFFER ENDS Today
Signup for Free Access
Access to all Tools
No Credit Card needed
Quota: 1500 Words (6 pages)
Offer ends in: 03hr 19m 8s
Already a user? Login instead
For Monthly Usage
$ 9.99 /month
Up to 2500 words/month
Access to all features
AI Essay Writer
AI Essay Outliner
Go Big Monthly!
$ 14.99 /month
Up to 100,000 words/month
Access to all existing tools
50% off on custom essay orders
500 credits for plagiarism check
Top Annual Savings!
Advanced (4 Months FREE )
$ 99.99 /year
OFFER ENDS Soon
Unlimited essays
12 Months for the price of 8
Access to all upcoming tools
Get started for free
Please enter a valid Name
Please enter a valid email address
Please enter a valid Phone Number
Please enter atleast five characters
Please enter a valid Password
Show Password
Already have an account? Sign In here.
Please enter your email address
Forgot Password?
Don’t have an account? Sign Up
Verify Your Account
Enter the verification codes to confirm your identity.
Code sent to [email protected]
Send again in seconds
Code sent to +1 302 385 6690
Claim Free Essay
Your first custom essay order on our website is FREE!
IMAGES
VIDEO
COMMENTS
Different fields favor different types of dissertations, so understanding what is expected and respected in your area of study is crucial. Next, think about your own strengths and interests. Choose a dissertation type that not only meets academic criteria but also excites you and plays to your strengths, whether they lie in empirical research ...
Some choose to include case studies, personal findings, narratives, observations and abstracts. Their presentation focuses on theoretical insights based on relevant data points. 2. Quantitative. Quantitative dissertation research, on the other hand, focuses on the numbers.
A dissertation is a long-form piece of academic writing based on original research conducted by you. It is usually submitted as the final step in order to finish a PhD program. Your dissertation is probably the longest piece of writing you've ever completed. It requires solid research, writing, and analysis skills, and it can be intimidating ...
Narrative dissertations. You're more than likely to choose doing an empirical or a non-empirical dissertation. However, in other disciplines you may come across different methods of producing a dissertation. Dissertations in many science subjects include or even focus around a laboratory report describing all the aspects of setting up ...
Beyond the differences between the PhD and EdD dissertation, within the EdD, itself, several approaches to the problem solving dissertation are emerging: (a) the traditional inquiry approach; (b) the evaluation approach; and (c) the problem-solving approach. The traditional inquiry approach includes the case study and best practice types of ...
While the format may slightly vary, here's a look at one way to format your dissertation: 1. Title page: This is the first page which includes: title, your name, department, degree program, institution, and submission date. Your program may specify exactly how and what they want you to include on the title page. 2.
Revised on 5 May 2022. A dissertation is a large research project undertaken at the end of a degree. It involves in-depth consideration of a problem or question chosen by the student. It is usually the largest (and final) piece of written work produced during a degree. The length and structure of a dissertation vary widely depending on the ...
A thesis is a long-term, large project that involves both research and writing; it is easy to lose focus, motivation, and momentum. Here are suggestions for achieving the result you want in the time you have. The dissertation is probably the largest project you have undertaken, and a lot of the work is self-directed.
Another key thing to note is that there are different aspects of the qualitative dissertation, and this includes the following: Grounded theory. Narrative research. Autoethnographic. Case study research. As mentioned earlier, a qualitative dissertation does not involve numerical data, so the method of collecting data is usually based on ...
Types of dissertation. Whilst we describe the main characteristics of qualitative, quantitative and mixed methods dissertations, the Lærd Dissertation site currently focuses on helping guide you through quantitative dissertations, whether you are a student of the social sciences, psychology, education or business, or are studying medical or biological sciences, sports science, or another ...
Topic 1: Types of Dissertations. Just as problems at work take different forms, the problem solving process, codified through a dissertation, can take several forms. USC Rossier uses 3 primary forms of a dissertation, although your chair may have you use some other form. These forms - the case study, the evaluation, and the problem-solving ...
A dissertation is a paper explaining the individual research that a student has conducted to earn a degree. It usually consists of several sections or chapters and follows the rules of formal academic writing. The degree candidate chooses the research topic. In the United States, a graduate student writes a dissertation to earn a doctorate degree.
Time to recap…. And there you have it - the traditional dissertation structure and layout, from A-Z. To recap, the core structure for a dissertation or thesis is (typically) as follows: Title page. Acknowledgments page. Abstract (or executive summary) Table of contents, list of figures and tables.
Craft a convincing dissertation or thesis research proposal. Write a clear, compelling introduction chapter. Undertake a thorough review of the existing research and write up a literature review. Undertake your own research. Present and interpret your findings. Draw a conclusion and discuss the implications.
However, you'll learn about these justifications in detail in the Quantitative Dissertations part of Lærd Dissertation, where you can choose between one of three routes (i.e., Route #1: Replication-based dissertations, Route #2: Data-driven dissertations, and Route #3: Theory-driven dissertations).
Revised on April 16, 2024. A thesis is a type of research paper based on your original research. It is usually submitted as the final step of a master's program or a capstone to a bachelor's degree. Writing a thesis can be a daunting experience. Other than a dissertation, it is one of the longest pieces of writing students typically complete.
3 Main Types of Dissertations: Differences and Similarities. Dissertation types. We may have qualitative, quantitative, and mixed methods in dissertations. Therefore, this blog will elaborate on quantitative dissertations, qualitative dissertations, and mixed methods dissertations by addressing their similarities and differences. Quantitative ...
Reading time: 3-4 minutes Doctoral research is the cornerstone of a PhD program.. In order to write a dissertation, you must complete extensive, detailed research. Depending on your area of study, different types of research methods will be appropriate to complete your work.
Types of Research Designs Compared | Guide & Examples. Published on June 20, 2019 by Shona McCombes.Revised on June 22, 2023. When you start planning a research project, developing research questions and creating a research design, you will have to make various decisions about the type of research you want to do.. There are many ways to categorize different types of research.
You may adopt conventional methods, including phenomenological research, narrative-based research, grounded theory research, ethnographies, case studies, and auto-ethnographies. Again, regardless of the chosen approach to qualitative research, your dissertation will have unique key features as listed below.
This type of research is subdivided into two types: Technological applied research: looks towards improving efficiency in a particular productive sector through the improvement of processes or machinery related to said productive processes. Scientific applied research: has predictive purposes. Through this type of research design, we can ...
Research methods are specific procedures for collecting and analyzing data. Developing your research methods is an integral part of your research design. When planning your methods, there are two key decisions you will make. First, decide how you will collect data. Your methods depend on what type of data you need to answer your research question:
When it comes to the types of the dissertation, then there are three main types of the dissertation. They are qualitative, quantitative, and mixed methods in the dissertation types. Therefore this blog will elaborate on the different types of dissertation by addressing their similarities and differences. 1.
Well, there are different types of thesis statements, each designed for a specific kind of essay. If you're looking to inform, persuade, or analyze, picking the right type of thesis statement is key. We'll explore the main types and even some you might not be familiar with, giving you clear examples to guide you along the way.