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.


"We perform a variety of meta‐analyses for academic, regulatory, and international clients. Each presents a different set of challenges regarding study design and outcome measurement. We have found CMA to be invaluable in this work. The ability of the software to capture a variety of data elements (study design, multiple outcomes, covariates/confounders) and present details of computations is important in the credibility of our work. The ease of use and ability to produce graphics in a variety of formats aids in preparation of the report. In many instances, we are required to replicate the results of CMA in another package (e.g., SAS). We have always found the support staff at CMA very helpful in these replications and the results of CMA have been replicated in every instance. CMA is a great tool in the scientific credibility of our meta‐analytic studies."

Donna F. Stroup, PhD, MSc - Data for Solutions, Inc.


"Comprehensive Meta‐Analysis (CMA) is a must‐have tool for academic instructors, researchers, and statisticians alike. Developed by a strong team of highly recognized experts in the field, CMA meets all of your meta‐analysis needs and is easy to teach and easy to use. I would not attempt to ever conduct another meta‐analysis without using the CMA program, for the difference is between heaven and earth!"

Guili Zhang, Ph.D. - Asst. Professor of Research Methodology, Department of Curriculum and Instruction Editor, Journal of Curriculum and Instruction, Chair, American Educational Research Association Quantitative Dissertation Award Committee Project Director, IGERT Assessment Project, East Carolina University, Greenville, NC