Statistics Application Evaluation Criteria

Use this rubric for the following Applications: Factorial ANOVA (Week 3), ANOVA with Repeated Measures (Week 4), ANCOVA (Week 5), Multiple Regression (Week 6), Linear Multiple Regression (Week 7), Odds Ratio (Week 8), Logistic Regression (Week 9), Cronbach's Alpha (Week 11).    

During several weeks of the term, you will be required to run statistics problems using SPSS. The website of the primary textbook author provides answers to most questions to help guide you as you work. However, you will be required to document your work and submit it as a package to your instructor. Please use this document as guidance for submitting your PASW weekly applications. Note that each assignment is worth 50 points; point assignments are indicated next to each indicator.

       Create a master MS Word document (you should only be submitting ONE document each week). Label it in accordance with the convention described in your syllabus. Inside of this document, include the following information.

1. State the underlying assumptions for the statistical test.
2. State whether the assumptions have been met.  If the assumptions were not met (either in actuality or hypothetically), state what alternatives you have available to you.
3. State the null and alternative (research) hypotheses.
4. Copy your syntax file and paste it into your MS Word Document.
5. For your output file: Select all à Copy all objects à Paste into your MS word document. This will ensure that your output is in a form that your instructor can read.
6. Create a results table consistent with requirements from the APA style manual.
7. Report the results using correct APA format.
   1. For ANOVA, ANCOVA, and Repeated Measures ANOVA models, ensure that you provide interpretations for the main effects and interactions as well as any post-hoc tests.
   2. For Multiple and Logistic Regression models, ensure that you include appropriate measures of model fit as well as the specific procedure used (e.g., Hierarchical, Enter, Stepwise, Forward, Backward).
8. Describe how you would compute the sample size to achieve 80% power, alpha = .05, and the appropriate effect size.