An Introduction to Statistics: An Active Learning Approach
Second Edition
Learning Objectives
After reading this chapter, you should be able to do the following:
- Identify when to use an independent samples ANOVA
- Explain the logic of the ANOVA F ratio
- Explain how measurement error, individual differences, and treatment effects influence then numerator and the denominator of the F ratio
- Write null and research hypotheses using symbols and words
- Complete an ANOVA summary table by computing the degrees of freedom, SSs, MSs, and F ratio
- Define a critical region and determine if you should reject or fail to reject the null hypothesis
- Compute effect sizes and describe them
- Explain when and why post hoc tests are necessary
- Summarize the results of an independent samples ANOVA using American Psychological Association (APA) style
- Use SPSS to compute an independent samples ANOVA, including post hoc tests
- Interpret the SPSS output for an independent samples ANOVA