This book provides a comprehensive introduction to many of the statistical procedures most common in social
science research today. We describe these statistical procedures in detail and list the mathematical assumptions
underpinning these statistical procedures. Moreover, we progress step-to-step through detailed examples,
provide the code and output, and interpret the results. We also provide examples that show how to summarize
and describe study findings for written research reports.

What’s New in This Edition
In this second edition, we include an extended discussion of statistical power analyses and sample size
requirements for path analyses, confirmatory factor analyses (CFA), and SEM. More precisely, we provide an
easy-to-use table to help users determine sample size requirements for path analyses. With latent variable
models (e.g., CFA and SEM), we provide SAS code to estimate statistical power. We also provide SAS code to
calculate sample size requirements when planning your research to ensure that you will have sufficient
statistical power when later conducting these analyses.