"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

"(1) Working with your staff and the software itself made computer installation and start up incredibly easy. (2) Instructing my students (seniors in a capstone research intensive course) on how to use the software was also remarkably easy. They did far more with the software than I had expected and made some elegant looking figures for their senior presentations. (3) Meta‐analysis was a new technique for our whole department (PUI institution), and the oral presentations by my students using the CMA software and graphics impressed faculty immensely."

Susan B. Chaplin - Department of Biology, University of St. Thomas, St. Paul, MN