Applied Power Analysis for the Social and Behavioral Sciences
The power analysis course addresses determination of adequate sample size for detecting effects across a wide range of research designs. The course begins with a discussion of basic theoretical issues such as why power is important and factors impacting power. The course moves on to examine and demonstrate power analysis approaches for designs including t-tests, Chi-square, multiple regression, covariate analyses, regression interactions, logistic regression, ANOVA (between, within, and mixed designs), and accuracy in parameter estimation. For each topic, there is a focus on "how-to" examples for conducting analyses using several software programs (e.g., SPSS, STATA, G*Power, R) with a particular focus on SPSS syntax developed by the course instructor for complex analyses. The course includes a focus on determination of meaningful effect sizes for analyses and special issues such as power for multiple regression coefficients and multiple comparison tests. Each day of the course includes a hands-on lab session allowing participants to practice analyses. A basic understanding of power, effect size, and the analyses listed above consistent with the coverage in most intermediate-level statistics courses will be helpful.
Fee: Members = $1300; Non-members = $2600
Tags: power analysis,