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"This book is written for behavioral scientists who want to consider adding R to their existing set of statistical tools, or want to switch to R as their main computation tool. The authors aim primarily to help practitioners of behavioral research make the transition to R. The focus is to provide practical advice on some of the widely-used statistical methods in behavioral research, using a set of notes and annotated examples. The book will also help beginners learn more about statistics and behavioral research. These are statistical techniques used by psychologists who do research on human subjects, but of course they are also relevant to researchers in others fields that do similar kinds of research. The authors emphasize practical data analytic skills so that they can be quickly incorporated into readers’ own research."

"Summary: This collection of articles from Stata Journal and Stata Technical Bulletin provide a detailed description of a range of meta-analytic methods. They show how to conduct and interpret meta-analysis; how to produce flexible graphical displays; how to use meta-regression; how to examine bias, and how to conduct multivariate mea-analysis."