Exam 10: Two-Way Factorial Independent Anova

When interpreting the SPSS output for independent measures factorial ANOVA we need to ensure that the homogeneity of variance assumption has been met, as we want to be confident that the dispersion of scores within each condition is roughly similar. Which test would you use to evaluate this assumption that and what result would you expect if the assumption has been met?

When running your two-way independent measures factorial ANOVA in SPSS you select: Analyse > GLM > Univariate… Which variables would you allocate in the fixed factor(s) box?

When you decide to run a two-way factorial ANOVA how many hypotheses will you need to develop?

In the worksheet exercise, what is the significance of the interaction?

In the worksheet exercise, what are the correct degrees of freedom to report for the "game type" IV?

Your independent ANOVA experiment has a significant main effect. Your independent variable (IV) has three conditions and your hypothesis is one-tailed. What further analysis do you need to do?

Which of the following statements is correct?

When you use t tests to break down any significant interaction effect you need to correct alpha level that you use to determine the significance. Which correction method do you need to use?

What is the difference between main effect and interaction effect?

In the worksheet exercise, what is the F ratio for the main effect of group (low, mid, high)?

In your factorial ANOVA, when you discover that your main effect is not significant, what should you do next?

In the worksheet exercise, how would you describe the type of analysis used?

In the worksheet exercise, has the assumption of homogeneity of variance been met, and how did you come to this conclusion?

In your factorial ANOVA, when you discover that the interaction effect is not significant, what should you do next?

Which of the following sentences is correct?