"In short, CMA is a great software package for meta‐analysis. I will use CMA again the next time I teach my introduction to metaanalysis course." - Alan Wilson, Assistant Professor, Auburn University, Fisheries and Allied Aquacultures (6/6)
Comprehensive Meta-Analysis is used by tens of thousands of researchers in virtually all areas of research. #metaanalysis Learn more & download a free trial: https://t.co/ufcnByZ51O (1/6)
"Any questions about CMA were quickly and thoroughly answered. Moreover, the supporting textbook associated with CMA is a must have resource for anyone interested in meta‐analysis as it easily explains complicated analytical concepts. (5/6)
Understand #metaanalysis … Learn the “why” behind, the implications of, and how to avoid common mistakes! "Common Mistakes in Meta-Analysis and How to Avoid Them" by Michael Borenstein https://t.co/fvtcSjvJR4
"The students are able to learn the program quickly and appreciate how it structures their data sets and prevents some common mistakes made in meta‐analysis." - Alan J. Hawkins, Ph.D., Professor of Family Life, Brigham Young University, Provo, UT (3/3)
Comprehensive Meta-Analysis is used by tens of thousands of researchers in virtually all areas of research. #metaanalysis Learn more & download a free trial: https://t.co/ufcnByZ51O
"I have used Comprehensive Meta‐Analysis II for the last 6 years to assist with a number of (1/3)
"published meta‐analytic studies in the behavioral sciences. I have found the program to be flexible and powerful. I have also used CMA II in two graduate seminars focused on meta‐analysis. (2/3)
2. While this interpretation of I-squared is ubiquitous, it is nevertheless a fundamental mistake. I-squared does not tell us how much the effect size varies.
3. The statistic that does tell us how much the effect size varies is the prediction interval.
Read "In a meta-analysis, the I-squared statistic does not tell us how much the effect size varies" in the Journal of Clinical Epidemiology by Michael Borenstein…https://t.co/7djLjeiElr
1. The vast majority of meta-analyses published in the fields of medicine and epidemiology use the I-squared statistic to quantify the amount of heterogeneity.
“I highly recommend the Comprehensive Meta‐Analysis software program for anyone conducting meta‐analytic research.” - Kathy Barlow RN, MS, Doctoral student, University of Maryland School of Nursing, Baltimore, Maryland (4/4)
Comprehensive Meta-Analysis is used by tens of thousands of researchers in virtually all areas of research. #metaanalysis Learn more & download a free trial: https://t.co/ufcnByZ51O
“Comprehensive Meta‐Analysis (CMA) is an excellent statistical software program. (1/4)
“I have used CMA for a recent study I conducted with my professor at the University of Maryland, The reliability and validity of the Anticipated Turnover Scale across studies of RNs in the US (in press). (3/4)
• Inverse variance, Mantel Haenszel, Peto
• Includes options to use the same computational algorithms as other programs such as RevMan or Stata #metaanalysis (3/3)
• Computational models for meta-regression: Fixed effect, method of moments, unrestricted maximum likelihood, maximum likelihood, z-distribution or Knapp-Hartung #metaanalysis (2/3)