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posted from 29 September 2009
The chapter Methodology serves as a keystone of its dissertation, mainly due to this true: a feasible methodology ensures that you have a feasible study. If you meet your methodology chapter in a specific recipe in a cookbook, there is another way to think about it: You must describe all ingredients to help you prepare and cook everything in the right steps, so that others replicate the same results How to describe it in the end. If researchers forget the true function of this key chapter, the scientific world ends with a flood of tested but non-replicable studies. (In fact, a late this type of studies have recently made the news.) As such, if you write your methodology, here are a few things you should consider.
Research issues : The point can not be emphasized enough: clearly, certain research questions is the key to successfully write a methodology chapter and execute the study. If you perform your research with this method, make sure that you can clearly support you to support or not support the research questions or hypotheses. This clear statement believes that they have follow-up research questions with operationalized constructs.
Participants : Although this is obvious, they must completely describe the characteristics of their study participants so that they can call access to this specific population. However, there are very simple that there are many possible reasons why researchers do not get access to access (eg the organization changed the mind, IRB said, No, etc.). Therefore, select a population or data sources with which you can definitely get access in good time.
You also want to properly describe the inventory for generalization purposes. Back in the old times, a large part of the research was carried out with only men, and the researchers could not generalize the findings of the study to women. An analogous lack of generalizability applies to different ages, cultures, educational status, etc.
sampling method : You should clearly describe how to set a sample from your population. Most doctoral students use a convenience test or snowball sampling. Strategy - that's absolutely fine. While dissertations must respond to the theme of generalizability, do not worry so much to worry about how their self-financed project is actually generalized.
Materials or instruments : Above all, researchers need to use reliable and valid instruments in their studies. Fortunately, past research has already generated a variety of instruments for reliability and validity already evaluated by tests such as Chronbach's alpha and design validity. Use these metrics in your instrument section. In addition, we urgently recommend to your own survey, as your committee or your IRB will probably ask how you plan to confirm your survey, and you can even ask you to test your instrument who extends your time completion.
Procedure : The procedure you use must be so clear that your next neighbor can replicate your study to create the same findings. Make sure that you specify as much as necessary to enable this replicability process. To borrow from the recipe analogy earlier if your stew meat needs the dice, enter this fact; If the dice Вј inch or 1 inches are thick, this information contains. If you feel that someone needs to know something to replicate your study, write it up.
Data analysis plan : This piece explains your methodology as you want to analyze your data. Just go through the steps for quantitative analyzes.In general, these steps are likely to include something to guide descriptive statistics about all their data before then the indication for each hypothesis, as evaluating all assumptions for each analysis, evaluate the analysis, as an analysis behavior and interpret and create tables, and then Creating characters to illustrate your results.
For qualitative analyzes, most studies strive for the thematic data. (For reference, see Lincoln and Guba's evaluative criteria .) Be sure to tackle the questions of credibility, transferability, reliability and confirmation of confirmation. With regard to the number of researchers, a general rule of thumb is that the researchers involved in the process are the better. Finally, do not forget to talk to the interrater reliability that you can assess with a Kappa coefficient.
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