A critical component to theses' and dissertations' method section is the data analysis section or data analysis plan. The data analysis plan clearly identifies the specific statistical techniques (i.e., statistical tests) used to examine the research questions. Often, students get stuck in data analysis, or data analysis plan, because selecting the statistics can vary between parametric and non-parametric statistics. the data analysis plan describes not only the statistics, but the assumptions associated with these statistics. The data analysis plan can be a bit tricky: the specific statistics have to take into consideration the research questions and the type of data that the researcher is collecting(e.g., nominal data, interval data, etc.). A portion of the data analysis plan is to justify why these statistics selected are appropriate for a researcher's hypotheses and research questions. To give you an example for a data analysis plan, a researcher examining differences on an interval level variable (e.g., depression symptom) by gender, an independent sample t-test would be the appropriate statistical technique.
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