A Research Plan Example has been provided with each assignment for your reference.
INSTRUCTIONS
For this assignment, complete the Data Analysis section of the Research Plan Template using the same template file to build upon your previous submissions’ content.
In the Data Analysis section, the type of each statistical analysis technique(s) must be identified (e.g., t-test, ANOVA, ANCOVA, etc.). A concise rationale for the type of statistical analysis must also be provided. The rationale needs to be supported by the textbook. The chosen statistical procedures must be consistent with the research questions, hypotheses, and data collection type (in other words, why is the chosen analysis the most appropriate technique to test the hypothesis?).
For each identified statistical analysis technique, all assumption tests and how they will be tested must be addressed. For example: “Assumption testing included examining Levene’s test for homogeneity of variances, creating scatterplots to test for linearity, etc…” The alpha level for each statistical analysis technique must also be stated. Lastly, the effect size and the convention used to report it should be explained. Example: Eta square interpreted based on Cohen’s d.
In this section, there must also be an identified statistical procedure for each hypothesis. Thus, each section should be organized according to the research hypotheses.
The recommended length for the Data Analysis section is 100–200 words for each hypothesis.
In addition, provide references at the bottom of the template for all sources cited. All references must be formatted according to current APA formatting guidelines.
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