After reading this chapter, you should be able to:

1. Describe how the complexity of the two-way ANOVA differs from that of the t tests and one-way ANOVAs.
2. List the three types of factorial designs for the two-way ANOVA.
3. Define and explain the following terms: cell, main effect, and interaction.
4. Identify the assumptions and list the order of interpretation for outcomes in the two-way between-subjects ANOVA.
5. Calculate the degrees of freedom for the two-way between-subjects ANOVA and locate critical values in the F table.
6. Compute the two-way between-subjects ANOVA and interpret the results.
7. Identify when it is appropriate to compute simple main effect tests and analyze a significant interaction.
8. Compute and interpret proportion of variance for the two-way between-subjects ANOVA.
9. Summarize the results of the two-way between-subjects ANOVA in APA format.
10. Compute the two-way between-subjects ANOVA using SPSS.