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"The program is a perfect companion to Borenstein et al's book since it allowed my students to try the concepts discussed in the book. We have done most of the computations by hand first and then checked our answers with CMA. This gave the students 'a feel' for meta‐analysis and made them realise that the method is not just about feeding some abstract numbers into a black box and getting a meaningless number at the end. Instead, using the book and the program together the students learned the maths behind the computations and the meaning of the final results. I found the help manual especially user‐friendly and ready for classroom use. My students were able to get most of the exercises done at home such that we had the time to discuss the answers and their implications in class."

Dr. Karina De Santis (PhD) - Lecturer in Statistics and Research Methods, Jacobs University, Bremen gGmbH School of Humanities and Social Sciences, Bremen, Germany


"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

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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.