Version 2 software

Important: Version 2 Users

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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.


"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


"(1) Working with your staff and the software itself made computer installation and start up incredibly easy. (2) Instructing my students (seniors in a capstone research intensive course) on how to use the software was also remarkably easy. They did far more with the software than I had expected and made some elegant looking figures for their senior presentations. (3) Meta‐analysis was a new technique for our whole department (PUI institution), and the oral presentations by my students using the CMA software and graphics impressed faculty immensely."

Susan B. Chaplin - Department of Biology, University of St. Thomas, St. Paul, MN