Teaching information for CMA

If you are interested in using CMA to teach a class in meta-analysis, please submit your e-mail here for more information.

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"I am impressed with the ease or simplicity of the Comprehensive Meta‐Analysis, not only in data entry but also the data generated. Unlike some of the free software available for meta‐analysis, I found the Comprehensive Meta‐Analysis user‐friendly, generating clear graphs and effect sizes. I took a long time to work out some of the free software available by some of my colleagues and found them very userunfriendly, confusing, and the graphs generated not easy on the eye. After chancing on Comprehensive Meta‐Analysis during a Google search and having a go at it during the free trial, I was keen to get my hands on it and have recommended it to some of colleagues. It is definitely worth getting it as it makes meta‐analysis non‐daunting and non‐scary especially for students pursuing their Masters or PhDs."

Li Whye Cindy, NG


"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