You should also ensure that you relate the rationale for your method explicitly to your research problem; it should be very clear to your reader that the methodology you've chosen is a thoughtful and tailored response to the questions you're trying to answer. The best postgraduate dissertations are those that convince at every level — that are based on a rigorous engagement with the field, that develop reproducible frameworks for engaging with that field, and that supply high-quality and convincing results and conclusions. blog writing service hourly rate You've come to the right place.
If you're completing a postgraduate dissertation , the chances are you already have a broad awareness of the different theoretical positions and schools of thought in your field, and you may well have a good idea of the schools of thought with which you most closely identify and, just as importantly, those you don't identify with. Your literature review and methodology will therefore develop in tandem with each other. thesis topics for information technology students Key to justifying your methodology is demonstrating that it is fit for the purpose of answering the research problem or questions you posed at the start.
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Even if you decided on your methodology early on in your research process, it should appear rhetorically as the result of a careful weighing of competing factors, before you decided on the most logical choice. In an undergraduate dissertation, you therefore need to show a capacity to engage with a broad field of research, to synthesise diverse and even opposing approaches to a problem, and to distil this down into a design for a research project that will address your research questions with the appropriate level of scholarly level. The answer to this question depends in part upon whether you're writing an undergraduate or postgraduate dissertation.
An evaluation of your choice of method, and a statement of its limitations. The ability to synthesise what you've learned from scholars in your discipline, and to shape that into a methodology that you can use to shed light on your research question, is therefore key to a successful undergraduate dissertation. If you're introducing a new type of statistical model, your reader should be able to apply this model to their own data set after reading your methodology section. Remember that a scholar might use any single part of your methodology as a departure point for their own work; they might follow your experiment design but choose a different model for analysing the results, or vice versa!
Your methodology needs to establish a clear relationship between your research question, the existing scholarship in your field that you have surveyed as part of your literature review, and the means by which you'll come to your conclusions. A scientific study The methodology section for a scientific study needs to emphasise rigour and reproducibility above all else. The Moves That Matter in Academic Writing , Gerald Graff and Cathy Birkenstein discuss what they call the art of metacommentary, "a way of commenting on your claims and telling others how — and how not — to think about them". The background and rationale for your design choice. This will draw in part from your literature review , presenting your choices as informed and rooted in sound scholarship, while ideally also displaying innovation and creativity.
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Defining your own terms If you don't define your own measures for success and failure, readers can infer from the overall structure of your argument the terms on which it was trying to succeed, and judge it accordingly. You should not only include the necessary information about your equipment, lab setup, and procedure to allow another researcher to reproduce your method; you should also demonstrate that you've factored any variables that are likely to distort your data for example, by introducing false positives into your design , and that you have a plan to handle these either in collecting, analysing, or drawing conclusions from your data. press release writing service gordon food In particular, it's vitally important that your dissertation methodology shows an appreciation of the historical and cultural contexts of the theoretical frameworks you use, especially where there's fundamental disagreement between theorists. An extensive review of methodologies. But you should resist the temptation to include the following in your dissertation methodology, even if they seem to belong there quite naturally:.
However, this is not the place for an exhaustive review of methodologies you're not using — that work belongs in your literature review chapter , and you should refer back to that chapter for context on why you're taking or not taking a particular approach. If you're introducing a new type of statistical model, your reader should be able to apply this model to their own data set after reading your methodology section. special educational needs dissertation topics Again, you can place such information in an appendix and refer to it. For this reason it can be tempting to gloss over the methodology section in an arts or humanities dissertation, and move more or less seamlessly from literature review into analysis. Up until the point of writing your methodology, you will have defined your research question and conducted a detailed review of what other scholars in the field have to say about your topic.
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Be honest and upfront — but not apologetic — about the limitations of your chosen method, and be ready to justify why it's the best approach for your purposes. Therefore, no matter what subject area you're working in, your methodology section will include the following: Your methods must appear robust to the reader, with no obvious flaws in the design or execution. This will draw in part from your literature review , presenting your choices as informed and rooted in sound scholarship, while ideally also displaying innovation and creativity.
This is the heart of the methodology but is not, by itself, a methodology. However, if you're writing an arts or humanities dissertation the way in which you convey this rigour — and convince your audience of it - is a little different. Be honest and upfront — but not apologetic — about the limitations of your chosen method, and be ready to justify why it's the best approach for your purposes. Or will you avoid doing your own research with human subjects at all, and base your research on documentary evidence or a pre-existing data set?