ABSTRACT
This chapter presents power analyses for R 2 Model, R 2 Change, and regression coefficients in designs using multiple predictors. In addition, the chapter includes tests that examine differences between independent and dependent predictors as well as tests comparing R 2 across independent samples. The chapter also addresses power for detecting multiple effects, how this form of power differs from power to detect individual effects, and the importance of considering the distinction in sample size planning. The additional issues section discusses the influence of reliability on power. For each analysis, the chapter presents examples using R functions from the pwr2ppl package.
