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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"Comprehensive Meta‐Analysis software is like a magic wand. The simple and clear interface (like an Excel sheet) will guide you to do complicated meta‐analysis within only a few clicks. The comprehensive formats included in the software allow researchers to input the data in various ways. It provides clear outputs and high‐resolution graphs which can be imported to Microsoft Word. I especially love the feature that shows you the calculation steps so you can check whether you’ve run it correctly. It also provides advanced sub‐group analysis, moderator analysis, meta‐regression, and publication‐bias analysis. This software is a lifesaver! Meta‐analysis becomes very easy with the help of Comprehensive Meta‐Analysis. I am sure I will use this software for upcoming meta‐analyses in the future."

Jih‐Hsuan Lin (Tammy), Ph.D. Candidate - Media and Information Studies Program, Department of Telecommunication, Information Studies and Media, Michigan State University, East Lansing, MI


"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