Version 2 software

Important: Version 2 Users

If you own V2 and need to reinstall it on a new machine,
send us a note at [email protected] and we'll send a link to V2.

Join our E-mail Newsletter

Valid e-mail is required.
Learn about new meta-analysis workshops & software features, and receive special tools to help with your research.

Comprehensive Meta-Analysis

software image

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.


"I have used Comprehensive Meta‐Analysis II for the last 6 years to assist with a number of published meta‐analytic studies in the behavioral sciences. I have found the program to be flexible and powerful. I have also used CMA II in two graduate seminars focused on meta‐analysis. The students are able to learn the program quickly and appreciate how it structures their data sets and prevents some common mistakes made in meta‐analysis."

Alan J. Hawkins, Ph.D. - Professor of Family Life, Brigham Young University, Provo, UT


"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