The first edition of Introduction to Meta-Analysis has become the standard by which all books on meta-analysis are judged. From the date of its publication through today, it consistently shows up first on Amazon in a search for "Meta-Analysis" in Books. It has consistently sold more copies than any other book on the topic. It consistently gets five-star ratings from readers, who invariably cite the clarity of the presentation. It has been widely adopted as a text for classes in meta-analysis.

The book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. This second edition reflects recent developments in the field, while maintaining the clarity that has made the first edition so successful. In particular, the following topics are expanded or newly addressed:
* Developments in the area of various statistical models. How to choose a statistical model and problems with each model.
* Developments in the area of how to report heterogeneity in effects
* Common mistakes in meta-analysis, and how to avoid them
* How to report a meta-analysis
* How to use CMA for meta-analysis, and how to interpret the results

This second edition also a collaboration between the same authors who have continued to work together on a series of projects and papers over the past decade and whose new findings richly serve this new edition. Each of them brings a unique perspective to the book, and they have developed an easy way of working together, so that the collaborative effect is more than the sum of its parts.