Applied Power Analysis for the Behavioral Sciences is a practical "how-to" guide to conducting statistical power analyses for psychology and related fields. The book provides a guide to conducting analyses that is appropriate for researchers and students, including those with limited quantitative backgrounds. With practical use in mind, the text provides detailed coverage of topics such as how to estimate expected effect sizes and power analyses for complex designs. The topical coverage of the text, an applied approach, in-depth coverage of popular statistical procedures, and a focus on conducting analyses using R make the text a unique contribution to the power literature. To facilitate application and usability, the text includes ready-to-use R code developed for the text. An accompanying R package called pwr2ppl (available at https://github.com/chrisaberson/pwr2ppl) provides tools for conducting power analyses across each topic covered in the text.
Table of Contents
1. What is Power? Why is Power Important? 2. Chi-Square and Tests for Proportions 3. Independent Samples and Paired t-tests 4. Correlations and Differences Between Correlations 5. Between Subjects ANOVA (One and Two Factors) 6. Within-Subjects Designs with ANOVA and Linear Mixed Models 7. Mixed Model ANOVA and Multivariate ANOVA 8. Multiple Regression 9. Analysis of Covariance, Moderated Regression, Logistic Regression, and Mediation 10. Precision Analysis for Confidence Intervals 11. Additional Issues and Resources
Chris Aberson is Professor of Psychology at Humboldt State University. His research interests in in social psychology include prejudice, racism, and attitudes toward affirmative action. His quantitative interests focus on statistical power. He serves as Editor-in-Chief for Analyses of Social Issues and Public Policy.