"One of the hardest things for non‐statisticians conducting meta‐analyses is to figure out how to combine data when the data are in different forms. Using continuous outcome as an example, one study might report before‐and‐after scores, and another might report change scores. Comprehensive Meta‐Analysis allows one to take data in any form and seamlessly converts it so that all the data can be included, or tells the meta‐analyst what additional information is necessary to complete the process. This one aspect of the program can save hours of time for non‐statisticians who are not used to converting data from one format to another."

Ian Shrier - McGill University, Canada

"Comprehensive Meta‐Analysis (CMA) is a must‐have tool for academic instructors, researchers, and statisticians alike. Developed by a strong team of highly recognized experts in the field, CMA meets all of your meta‐analysis needs and is easy to teach and easy to use. I would not attempt to ever conduct another meta‐analysis without using the CMA program, for the difference is between heaven and earth!"

Guili Zhang, Ph.D. - Asst. Professor of Research Methodology, Department of Curriculum and Instruction Editor, Journal of Curriculum and Instruction, Chair, American Educational Research Association Quantitative Dissertation Award Committee Project Director, IGERT Assessment Project, East Carolina University, Greenville, NC