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'm a graduate student at NC State University, and recently I tried out CMA for my lab. For the record, it is awesome. My lab, Meta World, is specifically focused on meta‐analysis, so we've used a lot of programs both good and bad. CMA is by far the best we've tried in terms of ease of use. It is simple enough for a first time meta‐analyst to use, but the best part is the diversity of options for the more advanced user. It is amazingly easy to switch effects models and other aspects, to the point that it's fun to fiddle around with things to see the difference they make. The options for output are everything you'd need for publication, and they look a good sight better than what I would have come up with without CMA. It is the only software that had all the functionality I needed for my thesis, and without it I would be stuck writing my own code."

Jennifer London - Doctoral Student in I/O Psychology, NC State University


"I am an advanced graduate student in clinical psychology, and CMA software was integrated into a meta‐analysis course I recently took. I feel very fortunate to have been trained in meta‐analyses at a time when we have this software because CMA is easy and, I dare say, fun to use. Rather than spending countless hours computing my own effect sizes and creating syntax, the program did it for me, which allowed me to spend my time really looking at the data, both graphically and numerically. I bought CMA for myself and would recommend it to anyone looking to learn the art of meta‐analysis."

Rachel Hershenberg