Academic/Non-Profit Pricing (Version 3)

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*The evaluation software is the Professional version. Review the differences.
*If upgrading from Version 2, a third year is included at no charge.
*To run the program on a Mac, a Windows emulator is necessary such as Parallels or Bootcamp. Using Wine or CrossOver is not recommended.

Academic/Non-profit Pricing (Version 3)

Professional Version Standard Version Lite Version
One-Year Two-Year* One-Year Two-Year* One-Year Two-Year*
  • Copies Unit Total Unit Total   Unit Total Unit Total   Unit Total Unit Total
  • 1 $495 $495 $795 $795   $295 $295 $395 $395   $195 $195 $295 $295
  • 2 $395 $790 $695 $1390   $225 $450 $345 $690   $155 $310 $245 $490
  • 5 $345 $1725 $595 $2975   $195 $975 $295 $1475   $145 $725 $220 $1100
  • 10 $325 $3250 $495 $4950   $155 $1550 $245 $2450   $115 $1150 $180 $1800
  • 20 $245 $4900 $395 $7900   $125 $2500 $195 $3900   $95 $1900 $145 $2900
  • 40 $175 $7000 $265 $10600   $85 $3400 $130 $5200   $65 $2600 $95 $3800
  • 100 $125 $12500 $195 $19500   $65 $6500 $95 $9500   $45 $4500 $65 $6500
  • 200 $85 $17000 $125 $25000   $40 $8000 $60 $12000   $30 $6000 $45 $9000
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“Comprehensive Meta-Analysis (CMA) is an excellent statistical software program. CMA is very user-friendly, provides essential elements of analyses required for synthesis of quantitative studies, evaluates publication bias statistically and graphically, and offers technical support. 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). 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

“I have conducted several meta-analyses over the past several years, and Comprehensive Meta-Analysis has been the main software I have relied on. It is "user friendly" and it provides a wide range of options to fit the different types of effect size information found in different types of studies. Most importantly, I know I can rely on the statistical formulas at the foundation of the software, due to the top-notch development team for CMA.”

Frank Pearson