× The factorial MANOVA will combine what you have learned previously about Post hoc tests when you have more than two groups on an IV (one-way ANOVA), Main effects and interactions (factorial ANOVA), and Working with multivariate analyses of multiple DVs (one-way MANOVA). Using the SPSS data file for Module 6 (located in Topic Materials), answer the following questions: What are the independent variables in this study? What are the dependent variables? Why is a factorial MANOVA appropriate to use for this research design? Did you find any errors that the researcher made when setting up the SPSS data file (don’t forget to check the variable view)? If so, what did you find? How did you correct it? HINT: Yes, there are coding errors for Measures. Perform Initial Data Screening. What did you find regarding missing values, univariate outliers, multivariate outliers, normality? HINT: Revisit instructions from last module’s readings on how to compute Mahalanobis distance and then analyze for multivariate outliers. Perform a factorial MANOVA on the data. Before interpreting the multivariate results of the MANOVA, check outcomes that test other assumptions for this statistic: equality of covariance matrices (see Box’s Test) and sufficient correlation among the DVs (see Bartlett’s Test of Sphericity). Also check the
results of the Levene’s Test of Equality of Error Variances to evaluate that assumption for the univariate ANOVAs that are run and show in the Tests of Between-Subjects Effects output. What have you found about whether the data meet these additional assumptions for the MANOVA and follow-up ANOVAs? Explain. HINTS: Once in the Options box, remember to check box for “Residual SSCP matrix” to get results for the Bartlett’s test. Also, remember to ask for post hoc tests for Treatment because there are more than two conditions. Profile plots also help with visualizing interactions. Use Pillai’s trace if there are problems with heterogeneity of variance-covariance matrices for the DVs. Otherwise, Wilks’ lambda is fine. Eta squared cannot be calculated from the information provided in the multivariate tests results. Citing the results of your statistical analyses, what is the conclusion you can draw (and support) regarding research question that was posed in this research (see problem statement)? HINT: Use the sample results write-up in the textbook to see what you should report and how to say it. Just substitute the correct language and values for the analyses you have done for this problem. Purchase the answer to view it Purchase the answer to view it Purchase the answer to view it Purchase the answer to view it