Meta-Analysis shows concisely, yet comprehensively, how to apply statistical methods to achieve a literature review of a common research domain. It demonstrates the use of combined tests and measures of effect size to synthesize quantitatively the results of independent studies for both group differences and correlations. Strengths and weaknesses of alternative approaches, as well as of meta-analysis in general, are presented.Wolf shows how to interpret and apply results and how to make the appropriate calculations. He also looks at selection of a common metric; potential mediating effects; examination and reduction of bias; and issues of non-independence, validity, and reliability. The inclusion of an introduction to non-parametric analysis and some practical guidelines make this an ideal primer for students and practitioners in the social and behavioral sciences.