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 recently taught an introduction to meta‐analysis course to graduate students from diverse disciplines including ecology, kinesiology, economics, forestry, veterinary medicine, family studies, and plant pathology. I planned to use another meta‐analysis software package, but learned about CMA one week before the first day of class. Given the variety of options available in CMA, I thought that CMA might be a better fit for my class. In one week, Michael Borenstein sent me the necessary supplementary materials to prepare me for including CMA in the course. CMA is very intuitive and easily accessible for broad meta‐analytic applications. Any questions about CMA were quickly and thoroughly answered. Moreover, the supporting textbook associated with CMA is a must have resource for anyone interested in meta‐analysis as it easily explains complicated analytical concepts. In short, CMA is a great software package for meta‐analysis. I will use CMA again the next time I teach my introduction to metaanalysis course."

Alan Wilson - Assistant Professor, Auburn University, Fisheries and Allied Aquacultures


"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