"CMA is a formidable tool for conducting sophisticated meta‐analyses in the domain of cognitive and behavioral sciences. As an early adapter of CMA I am still amazed about its flexibility in data storing, data processing, and its many options for validity checks of meta‐analytic outcomes such as trim‐and‐fill and other state‐of‐the‐art ways to test the influence of unpublished papers. The flexibility of CMA to exchange data with Excel, SPSS, and other statistical software is a major asset. I also taught courses on meta‐analysis with the student version of CMA available for the graduate students, and it has been a real success as CMA makes meta‐analysis transparent as well as motivating for students with a basic training in statistics."

Marinus H. van IJzendoorn - Centre for Child and Family Studies, Rommert Casimir Institute of Developmental Psychopathology, Institute of Education and Child Studies, Leiden University, The Netherlands

"One of the hardest things for non‐statisticians conducting meta‐analyses is to figure out how to combine data when the data are in different forms. Using continuous outcome as an example, one study might report before‐and‐after scores, and another might report change scores. Comprehensive Meta‐Analysis allows one to take data in any form and seamlessly converts it so that all the data can be included, or tells the meta‐analyst what additional information is necessary to complete the process. This one aspect of the program can save hours of time for non‐statisticians who are not used to converting data from one format to another."

Ian Shrier - McGill University, Canada