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Comprehensive Meta-Analysis

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Comprehensive Meta-Analysis (CMA) is a powerful computer program for meta-analysis. The program combines ease of use with a wide array of computational options and sophisticated graphics.


"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checks of meta‐analytic outcomes such as trim‐and‐fill and other state‐of‐the‐art ways to test the influence of unpublished papers.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


"Comprehensive Meta‐Analysis is, in my view, the best meta‐analysis software on the market and a "must have" for any meta‐analyst. Before I used this software, I was convinced that specialized metaanalysis software was not necessary at all. At that time, I used my own Excel spreadsheets and SPSS to run meta‐analysis. In fact, I only tried CMA because I needed a way to make forest plots. Once I tried it, however, I was sold. I could not believe how user friendly it was and how much it could do. Suddenly not only was meta‐analysis more efficient, but, more importantly, I could run all types of analyses that previously were not available with the software I had been using. I have since used the program to conduct and publish several meta‐analyses. Given how great the program is, I require it when I teach my graduate meta‐analysis seminar. Students always seem surprised when they see how easy it is to use, as this is certainly not the norm in statistical software. Thus, our graduate students seem to greatly value CMA as a key resource for conducting meta‐analysis."

Seth M. Noar, Ph.D. - Professor, Hussman School of Journalism and Media, University of North Carolina at Chapel Hill