Cited by 1,162Meta-analysis and systematic reviewsPsychology Research and BibliometricsStatistical Methods in Epidemiology

How to do a meta‐analysis

Field, Andy P., Gillett, Raphael·2010·British Journal of Mathematical and Statistical Psychology

Abstract

Meta‐analysis is a statistical tool for estimating the mean and variance of underlying population effects from a collection of empirical studies addressing ostensibly the same research question. Meta‐analysis has become an increasing popular and valuable tool in psychological research, and major review articles typically employ these methods. This article describes the process of conducting meta‐analysis: selecting articles, developing inclusion criteria, calculating effect sizes, conducting the actual analysis (including information on how to do the analysis on popular computer packages such as IBM SPSS and R) and estimating the effects of publication bias. Guidance is also given on how to write up a meta‐analysis.

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Crossref · 10.1348/000711010x502733

Cites

70 of 70 references verified0 citation errors · 0 not checkable

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Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • All studies provided raw M ± SD scores apart from two where estimated marginal M ± SDs were given.

    “In terms of data extraction, all studies provided raw M ± SD scores apart from two55,56 where estimated marginal M ± SDs were given (raw data was requested from corresponding authors but could not be obtained).”
  • Rosenthal's fail-safe N was calculated to estimate how many further studies yielding zero effect would be required to make the overall stress effect size non-significant.

    “Moreover, Rosenthal’s fail-safe N was calculated (to estimate how many further studies yielding zero effect would be required to make the overall ES non-significant for stress)56.”
  • A random-effects model was selected because variability in effect sizes should be assumed in psychological research and it allows generalisation beyond the included studies.

    “A random-effects model was selected as it was recommended that variability in effect sizes should be assumed in psychological research and that this model allowed generalisation of the findings beyond the studies included in the meta-analysis (Field and Gillett 2010).”

Cites

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1 of the 71 references couldn’t be matched to a known paper.

Research works printed but not linked: 11

  1. Clark‐Carter D., 2003, Effect size: The missing piece in the jigsaw, Psychologist, 16, 636
  2. Cochrane Collaboration, 2008, Review Manager (RevMan) for Windows: Version 5.0
  3. 10.1037/0033-2909.112.1.155 · DOI · Paper page
  4. DeCoster J., 1998, Microsoft Excel spreadsheets: Meta‐analysis
  5. Field A. P., 2005, A handbook of research methods in clinical and health psychology, 295
  6. Field A. P., 2009, How to do a meta‐analysis
  7. Fisher R. A., 1935, The design of experiments
  8. 10.2307/1164832 · DOI · Paper page
  9. Lavesque R., 2001, Syntax: Meta‐analysis
  10. Schwarzer G., 2005, Meta
  11. Wilson D. B., 2004, A spreadsheet for calculating standardized mean difference type effect sizes

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Authors
Field, A. P., & Gillett, R.
Affiliations
  • University of Sussex (GB)
  • University of Leicester (GB)
Corresponding author
  • Field, Andy P.
  • Gillett, Raphael
Venue
British Journal of Mathematical and Statistical Psychology
Publisher
Wiley
Published
2010-11
Volume
63
Issue
3
Pages
665-694
ISSN
  • 0007-1102 (ISSN-L)
  • 2044-8317
OpenAlex
W2094667953
Cited by
1,162
References
71
Citations by year
2026: 99 · 2025: 136 · 2024: 115 · 2023: 117 · 2022: 102 · 2021: 84 · 2020: 74 · 2019: 73 · 2018: 78 · 2017: 63 · 2016: 57 · 2015: 63 · 2014: 41 · 2013: 35 · 2012: 14
FWCI
18.49
Type
journal article
Language
en
Open access
closed
Locations
  • British Journal of Mathematical and Statistical Psychology (publishedVersion)
  • PubMed (publishedVersion)
  • Figshare (submittedVersion)
  • Leicester Research Archive (University of Leicester) (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
Keywords
meta-analysis, effect size, publication bias, inclusion criteria, article selection, meta-analysis software
MeSH terms
Computer Simulation, Data Collection, Humans, Mathematical Computing, Psychology, Research, Software, Meta-Analysis as Topic, Effect Modifier, Epidemiologic, Publication Bias

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