Other meta-analysis sites

Cochrane Collaboration
The Cochrane Collaboration is an international not-for-profit organization, providing up-to-date information about the effects of health care. The organization's principal output is The Cochrane Library. This includes the Cochrane Database of Systematic Reviews, a regularly updated database of thousands of Cochrane reviews on the effects of healthcare interventions, on the accuracy of diagnostic tests and on the methodology of systematic reviews and meta-analysis.

Campbell Collaboration (C2)
The international Campbell Collaboration (C2) is a non-profit organization that aims to help people make well-informed decisions about the effects of interventions in the social, behavioral and educational arenas.  The organization holds an annual conference.

Hunter-Schmidt Meta-Analysis
This site offers information about the meta-analysis program developed by Hunter and Schmidt. It follows the Hunter-Schmidt approach to meta-analysis, with emphasis on artifact corrections.

High quality evidence to inform decision-making can be difficult to access, identify and appraise. Our databases provide access to:

  • 21,000 systematic reviews
  • 11,000 economic evaluations
  • 10,000 health technology assessments

Systematic Reviews
Systematic Reviews encompasses all aspects of the design, conduct and reporting of systematic reviews. The journal aims to publish high quality systematic review products including systematic review protocols, systematic reviews related to a very broad definition of health, rapid reviews, updates of already completed systematic reviews, and methods research related to the science of systematic reviews, such as decision modeling. The journal also aims to ensure that the results of all well-conducted systematic reviews are published, regardless of their outcome.

Research Synthesis Methods
Research Synthesis Methods is a multidisciplinary peer-reviewed journal devoted to the development and dissemination of methods for designing, conducting, analyzing, interpreting, reporting, and applying systematic research synthesis.

Centre for Reviews and Dissemination
There is an ever-growing evidence base relating to the effectiveness and cost-effectiveness of health care interventions, but for clinicians and decision-makers this literature can be difficult and time consuming to identify and appraise. Funded by NIHR, the CRD databases are providing the solution.

Adam Hafdahl’s Bibliography of methods papers
This is a free bibliography on methodology for research synthesis.

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Comprehensive Meta-Analysis

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Comprehensive Meta-Analysis (CMA) is a powerful computer program for meta-analysis. The program combines ease of use with a wide array of computational options and sophisticated graphics.

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Comprehensive Meta-Analysis

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Christopher J Ferguson - Associate Professor Department of Behavioral Sciences, Texas A&M International University

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Emilio Bria

"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