Offering pragmatic guidance for planning and conducting a meta-analytic
review, this book is written in an engaging, nontechnical style that
makes it ideal for graduate course use or self-study. The author shows
how to identify questions that can be answered using meta-analysis,
retrieve both published and unpublished studies, create a coding manual,
use traditional and unique effect size indices, and write a
meta-analytic review. An ongoing example illustrates meta-analytic
techniques. In addition to the fundamentals, the book discusses more
advanced topics, such as artifact correction, random- and mixed-effects
models, structural equation representations, and multivariate
procedures. User-friendly features include annotated equations;
discussions of alternative approaches; and "Practical Matters" sections
that give advice on topics not often discussed in other books, such as
linking meta-analytic results with theory and the utility of
meta-analysis software programs.