After all, the main journal article is unlikely to discuss the different research methods that could have been used, and in some cases, even fully justify the choice of research methods that were used. Structured interviews Similar to a self-completion questionnaire, except that the questions that are asked by an interviewer to the interviewee. masters thesis writer outlines Empirical studies — These are field based studies during which the research collects primary data. Other people may have to look at the design to ascertain whether there are ethical issues that affect your research. Desk Reviews — These are non-filed based studies during which the researcher analyses and synthesises secondary data to articulate new findings.
It is important that students do not expose themselves or others to dangers or risks when conducting research. Does your project have clear links between theory and practice? Therefore, in terms of research methods, it would make sense that your dissertation and the main journal article used the same research methods e. help with paraphrasing grendel Research design is vital to conducting a good piece of work.
Your name Your friend's e-mail Message Note: STEP THREE Research methods The quantitative research method s that you set in your dissertation will depend on a the goals of your research, b the research design that you have set, c the route you are following, and the approach within that route, and d the relative advantages and disadvantages of the different research methods available to you. Summary Quantitative or qualitative?
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The reason for this is that the questions dissertations usually address take the following form: Once you have decided upon your approach, you can write out a research design, i. The topic or issue you are interested in. Questionnaires need to have clear questions, an easy to follow design, and not be too long.
Such comparisons are easiest and clearer when you can compare like-for-like results , which also requires you to collect like-for-like data. Once you have decided upon your approach, you can write out a research design, i. This is because one of the principals of replication-based dissertations i. You and your supervisor will discuss your design and decide whether the research is 'do-able'. Collecting you own data - primary research Quantitative data may also result from non-participant observations or other measurements e.
However, irrespective of the particular route that you adopt when taking on a quantitative dissertation, there are a number of core characteristics to quantitative dissertations:. However, a theoretical study brings its own challenges, and you may be called upon to compare theories in terms of their applicability. Bryman would be a useful starting point.
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Will you be a participant or non participant observer? They interpret the qualitative data through the eyes and biases of the researcher , going back-and-forth through the data i. Not all methods can be applied to all research questions: Even though you are likely to use just a single quantitative research method in your dissertation, it is important to understand the other research methods that could have been available to you.
Summary Quantitative or qualitative? Summary Writing process Writing process Lesson 1: The proposed outcome of this research in your case, a dissertation and the form it will take.
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With other essays you can rush them if you have to Such comparisons are easiest and clearer when you can compare like-for-like results , which also requires you to collect like-for-like data. Even though you are likely to use just a single quantitative research method in your dissertation, it is important to understand the other research methods that could have been available to you. Whilst you read through each section, try and think about your own dissertation, and whether you think that one of these types of dissertation might be right for you.
In other words, you usually have to analyse data that you have either collected yourself or data that is already available. Mixed methods dissertations combine qualitative and quantitative approaches to research. For example, if you were interested in examining the relationship between study time and exam performance , the differences in the scores on the dependent variable i. You will be able to work with much larger datasets than you could have collected yourself.