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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"We bought the CMA software for professional perpetual version at the beginning of this year, and we have used it to do meta-analyses for several studies and trained the postgraduate students already. The friendly spreadsheet, easy-understandable dialog, not programming and modifiable output style make use of the software to do a meta-analysis convenient. The most fabulous point is that it can extend the traditional comparison of two groups to estimation of effect size in one group and generic point estimates. In summary, this software is an efficient and user-friendly tool for scientists to do a study related to meta-analysis."

Xiang-Sheng Chen, MD, PhD - Professor and Vice Director, National Center for STD Control, China CDC Nanjing 20042, China


"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