Statistical power analysis: a simple and general model for traditional and modern hypothesis tests

1. Power of Statistical Tests

2. Simple and General Model for Power Analysis

3. Using Power Analyses

4. Multi-Factor ANOVA and Repeated-Measures Studies

5. Illustrative Examples

6. Implications of Power Analyses

App. A. Working With the Noncentral F Distribution

App. B. One-Stop F Table

App. C. One-Stop PV Table

App. D. df Needed for Power = .80([alpha]=.05) in Tests of Traditional Null Hypothesis

App. E. df Needed for Power = .80([alpha]=.05) in Tests of the Hypothesis That Treatments Account for 1% or Less of the Variance in Outcomes.