Meta-analysis
Definition: A meta-analysis is a statistical synthesis of results from a series of studies examining the same phenomenon. A variety of meta-analytic approaches exist, including random or fixed effects models or meta-regressions, which allow for an examination of moderator effects. By aggregating data from multiple studies, a meta-analysis could provide a more precise estimate for a phenomenon (e.g. type of treatment) than individual studies. Results are usually visualized in a forest plot. Meta-analyses can also help examine heterogeneity across study results. Meta-analyses are often carried out in conjunction with systematic reviews and similarly require a systematic search and screening of studies. Publication bias is also commonly examined in the context of a meta-analysis and is typically visually presented via a funnel plot.
Related terms: CONSORT, Correlational Meta-Analysis, Effect size, Evidence synthesis, Non-Intervention, Reproducible, and Open Systematic Reviews (NIRO-SR), PRISMA, Publication bias (File Drawer Problem), STROBE, Systematic Review
References:
- Borenstein, M., Hedges, L. V., Higgins, J. P., & Rothstein, H. R. (2011). Introduction to meta-analysis. John Wiley & Sons.
- Yeung, S. K., Feldman, G., Fillon, A., Protzko, J., Elsherif, M. M., Xiao, Q., & Pickering, J. (2020). Experimental Studies Meta-Analysis Registered Report Templates. https://osf.io/ytgrp/
Originally drafted by: Martin Vasilev; Siu Kit Yeung
Reviewed by: Thomas Rhys Evans, Tamara Kalandadze, Charlotte R. Pennington, Mirela Zaneva