How to do a meta-analysis with CMA
- Basic Topics
- Enter the data
- Run Analysis
- Random Effects
- Mean Effect Size
- How to explain the results
- High-Resolution Plot
- Sensitivity Analysis
- Publication Bias / Small Study Effect
- Explaining variation in effect size
- Procedures to assess potential moderators
- Subgroup Analysis
- Case study using means
- Case study using odds ratios (Viewing)
- Case study using correlations
- Case study using incidence
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.
"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
"I found the Comprehensive Meta‐Analysis software program to be extremely user friendly, providing instant computational data from the simplest to the most complex statistical problems, a versatile database to help organize and restructure large volumes of multifaceted data, and parallel visuals that help better understand your data. I also found the support staff very helpful in providing responses to both my technical questions about the program itself as well as helpful addressing more general theoretical questions about meta‐analyses. I would highly recommend this program to a novice or more seasoned researcher interested in conducting meta‐analytic statistics."
Talin Babikian, PhD, MPH - UCLA