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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Please provide the university / organization, the approximate class size, and the course duration below.

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"Being the lecturer for the course on meta‐analysis for the JSSS in Cambridge [the Social Science Research Methods Course programme, a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences], I am really forward looking forward to familiarising students with the programme. I found CMA unbelievably flexible‐‐and it wouldn't take students long to familiarise with it given how user‐friedly the programme is."

Dr. Maria M. Ttofi - Leverhulme and Newton Trust Fellow, Post‐doctoral Researcher, Institute of Criminology, University of Cambridge Research Fellow, Wolfson College


"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.