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.
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.
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"Comprehensive Meta‐Analysis Version 2 is really an easy‐to‐use software. It offers you a broad range of statistical, analytical and graphic capabilities to ensure valid meta‐analysis. It is accompanied by a selfexplanatory manual and tutorial. For anyone considering a faster and complete performance of metaanalysis, this software would be a clear first choice. In addition, the book and the online course “Introduction to Meta‐analysis” have been ideal resources in my case, for a complete understanding of this approach. Both strongly recommendable…!!!."
Dr. Miguel Santibáñez Margüello, M.D., PhD - Researching Support Unit, IFIMAV – Fundación Marques de Valdecilla, Cantabria University, Nurse School, Santander Spain
"Given that publications report a wide range of values from analyses (e.g., means and standard deviations, r, F, t values, eta squared, partial eta squared, etc.), it can be extremely difficult to compute effect sizes that take each of these factors into consideration. This can make the process of a metaanalysis more time consuming that it necessarily has to be. I found one useful and time‐saving aspect of Comprehensive Meta‐Analysis is that it allowed me to enter effect size data from articles in a number of formats. Upon running the analysis, the programme would compute standardised effect sizes for each study (even though I might have used around 10 different types of data entry), as well as an overall effect size. Furthermore, even though I had over 50 moderators to assess, CMA made it simple to test each moderator, whilst offering the option to test moderators according to other specific study characteristics. This meant I could delve deeper into my data to see what was really going on. For these more sophisticated methods, the programme also reports the information required to compute additional statistics, such as tau squared within and between studies (enabling me to compute the R squared statistic), which are not provided by some other programmes but are commonly reported in published meta‐analyses."
Natalie Taylor, PhD - Researcher, Health and Social Psychology Group, Institute of Psychological Sciences, University of Leeds, Leeds