MANOVA

MANOVA

Overview

In this assignment, you will use IBM SPSS to conduct a MANOVA using the .sav file provided. You will use the five quiz scores and year as the variables to determine if quiz scores differ with respect to the year of the student. Run the Bonferroni and Tukey post hoc comparison tests. Also include descriptive statistics, estimates of effect size, observed power, parameter estimates, and the appropriate tests of the assumptions. 

Instructions

· Step 1. Provide a context for the data set in the supplied .sav file. Include a definition of the specified variables, levels of each factor, and the outcome variable. Define the corresponding scales of measurement for each variable. Specify the sample size of the data set.

· Step 2. Specify the research questions related to the MANOVA. Articulate the null hypotheses and alternative hypotheses for main effects and interactions. Specify the alpha level.

· Step 3. Analyze the assumptions of the MANOVA. Paste the SPSS histogram output for the quiz scores and discuss your visual interpretations. Paste SPSS descriptive statistics output showing skewness and kurtosis values for quiz scores and interpret them (that is, values of 0 are perfectly normal; values between +/- 1 are ideal; values +/- 2 are acceptable; values beyond +/- 2 are a potential violation). Report the results of the Shapiro-Wilk tests and Levene tests and interpret them. Summarize whether or not the assumptions of the MANOVA are met.

· Step 4. 

. To provide context, begin by reporting the descriptive statistics for quiz scores by each year. You should also report and discuss them in the narrative.

. Next, provide a visual interpretation of the results.

. Then paste the SPSS output for the MANOVA. Report the F, degrees of freedom, the F value, the p value, a calculation of effect size, and interpretation of the effect size (calculate and report simple eta squared; do not use partial eta squared from SPSS output).

. For each factor, also report SPSS calculations of observed power and interpret them in terms of type II error.

. Finally, for each factor interpret the results against the null hypotheses articulated in step 2.

· Step 5. Discuss the conclusions of the MANOVA as it relates to the research questions. Conclude with an analysis of the strengths and limitations of the MANOVA. and a statement about why this test would or would not be better than a simple ANOVA for analyzing this data set.