This website is designed to help researchers learn to conduct meta-analyses. It is composed of learning modules that researchers can read and work through on their own time. Modules describe the conceptual basis for the different steps of a meta-analysis, best practices for analysis, as well as practical examples of how to use common, openly available meta-analysis software such as R. Example R code will be integrated throughout the text within individual modules. The examples and applications discussed on this site are targeted for researchers in ecology and natural science fields, however the fundamental concepts and issues covered are relevant across disciplines.
To begin, start at Module 1: Introduction & meta-analysis overview.
Acknowledgements
This website was created by Amy A. Briggs, Craig W. Osenberg, James Bence, and Scott Peacor, as part of their work on NSF grant DEB-1655394, and for a course taught by A. Briggs & C. Osenberg at the University of Georgia. Some of the content was adapted from materials created by Craig W. Osenberg, Fiorenza Micheli, and Joachim Claudet for a workshop at Stanford University.
Permissions
Content from this site should not be used for commercial use without permission. If you use original materials from this website (figures, text, etc.) for non-commercial purposes, please cite this website as:
Briggs, Bence, Peacor, and Osenberg. 2019. Meta-analysis for Ecology and Natural Sciences. Retrieved from http://metaanalysis.ecology.uga.edu/