Get statistics help before you have begun the empirical research.
It has to be formal, it has to rely on the statistical methods which are most efficient for your problem.
Use appropriate statistical tests.
Usually a guide of this nature focuses on the actual implementationof the research. This is not the focus of this guide. Instead of examiningsuch aspects as identifying appropriate sample size, field testing theinstrument and selecting appropriate statistical tests, this guide looksat many of the quasi-political aspects of the process. Such topics as howto select a supportive committee, making a compelling presentation of yourresearch outcomes and strategies for actually getting the paper writtenare discussed.
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You may have an idea about the statistical model and the estimation approach, or you may be completely lost.
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They will encourage your getting statistical assistance from outside because that means they will have less work to do.
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In the intermediate case, they will approve an expert statistician helping you out with the data analysis.
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Either way you need quality control by a statistics expert before the committee members hear anything important from you.
The truth is the following: even if you think that you've got a portfolio of reasonable statistical ideas, you may be slightly off the track.
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Get in touch with your advisers now and get a sense of how much freedom they are willing to give you.
If you are stuck and not sure how to do the analysis, you spend weeks trying to read more statistics, learn statistical software and identify potential pitfalls in your data to see if more data are necessary.
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Regardless of your field and topic of study, research questions, hypotheses, and methods, I am confident that I can assist you in your study. My confidence is the result of years of experience as a statistical consultant and statistician, having used a wide variety of statistical software programs and having performed many different types of statistical tests and models.
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Moreover, once you have performed the analysis, you have to be prepared to talk about all kinds of diagnostics, statistical assumptions and limitations which would justify the chosen modeling approach in the eyes of the thesis committee.
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b. Choose your methodology wisely. Don't be too quick in running awayfrom using a quantitative methodology because you fear the use of statistics.A qualitative approach to research can yield new and exciting understandings,but it should not be undertaken because of a fear of quantitative research.A well designed quantitative research study can often be accomplished invery clear and direct ways. A similar study of a qualitative nature usuallyrequires considerably more time and a tremendous burden to create new pathsfor analysis where previously no path had existed. Choose your methodologywisely!
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