Statistics for the Behavioral Sciences
Second Edition
Learning Objectives
- Describe how the complexity of the two-way ANOVA differs from that of the t tests and the one-way ANOVAs.
- List the three types of research designs for the two-way ANOVA.
- Define and explain the following terms: cells, main effect, and interaction.
- Identify the assumptions and list the order of interpretation for outcomes in the two-way between-subjects ANOVA.
- Calculate the degrees of freedom for the two-way between-subjects ANOVA and locate critical values in the F table.
- Compute the two-way between-subjects ANOVA and interpret the results.
- Identify when it is appropriate to compute simple main effect tests and analyze a significant interaction.
- Compute proportion of variance for the two-way between-subjects ANOVA.
- Summarize the results of the two-way between-subjects ANOVA in APA format.
- Compute the two-way between-subjects ANOVA using SPSS.