The "Activity 6a.sav" file contains a dataset of a high school teacher interested in determining whether his students' test scores increase over the course of a 12 week period. In the dataset, you will find the following variables:
Participant: unique identifier
Gender: Male (M) or Female (F)
Score_0 - score on the initial course pre-test (first day of class)
Score_2 - score at the end of week 2
Score_4 - score at the end of week 4
Score_6 - score at the end of week 6
Score_8 - score at the end of week 8
Score_10 - score at the end of week 10
Score_12 - score at the end of the course (week 12)
2. Repeated Measures ANOVA. Perform a repeated measures ANOVA using the "Activity 6.sav" data set. You will use Score_0 through Score_12 as your repeated measure (7 levels), and gender as a fixed factor.
a. Is the assumption of sphericity violated? How can you tell? What does this mean in the context of interpreting the results?
b. Is there a main effect of gender? If so, explain the effect. Use post hoc tests when necessary (or explain why they are not required in this specific case).
c. Is there a main effect time (i.e., an increase in scores from Week 0 to Week 12)? If so, explain the effect. Use post hoc tests when necessary (or explain why they are not required in this specific case). Examine the output carefully, and give as much detail as possible in your findings.
d. Write up the results and interpret them. Be sure that you discuss both main effects and the presence/absence of an interaction between the two.
This solution is comprised of a detailed explanation of Repeated Measures ANOVA using SPSS. In this solution, step-by-step explanation of this complicated topic provides students with a clear perspective of Repeated Measures ANOVA using SPSS.