Teaching information for CMA

Are you teaching a class in statistics or meta-analysis?
Take advantage of these videos.

You can arrange the following at no cost:

Every student gets

  • Access to the videos
  • Access to the software for the duration of the course
  • Annotated PDFs corresponding to each video
  • Exercises with step-by-step instructions for performing the analysis
  • Access to discussion boards and zoom sessions
  • A PDF copy of the text Common Mistakes in Meta-Analysis and How to Avoid Them

Limited-time offer: This is all at no cost.
This offer applies only to listed courses at universities and hospitals.
Other restriction apply.
We ask that you put a link on your university website to https://meta-analysis.com/

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

Valid e-mail is required.

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

Details are required.

"Our group has recently begun to conduct meta‐analyses within our area of research, i.e. psychooncology and health psychology, and we have found CMA extremely useful. CMA distinguishes itself from other available meta‐analysis software by the various options to explore and adjust for possible publication bias, as well as by providing several options to explore possible moderators, not only categorical but also continuous. We encourage our PhD students to conduct quantitative systematic reviews as a part of their dissertation whenever possible. The clear menu‐driven approach of CMA makes it easy to use for beginners, so that they can focus their energy on the analytical aspects of metaanalysis, rather than on the technical issues of using the software."

Bobby (Robert) Zachariae - Professor, dr.med., Psycho‐oncology Research Unit, Aarhus University Hospital, Denmark


"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‐friendly 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