The DOI matches its Crossref record; 69 of the 71 references it cites were found in a registry or an index.
How to do a meta‐analysis
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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“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).”
From Effect of breathwork on stress and mental health: A meta-analysis of randomised-controlled trials (2023) · cites this paper as [56]
In the citing paper
“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.”
From Effect of breathwork on stress and mental health: A meta-analysis of randomised-controlled trials (2023) · cites this paper as [56]
In the citing paper
“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).”
From A meta-analytic review of the efficacy of physical exercise interventions on cognition in individuals with autism spectrum disorder and ADHD (2016) · cites this paper as Field and Gillett 2010
Citations
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,893
Statistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,603
Bias in meta-analysis detected by a simple, graphical test
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722
Discovering Statistics Using SPSS
Field, A. P., & Miles, J. N. V. (2000) · Medical Entomology and Zoology · Cited by 28,269
Self-citationOperating characteristics of a rank correlation test for publication bias
Begg, C. B., & Mazumdar, M. (1994) · Biometrics · doi:10.2307/2533446 · Cited by 16,955
The file drawer problem and tolerance for null results.
Rosenthal, R. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.3.638 · Cited by 9,068
Cohen, J. (1992) · Psychological Bulletin · doi:10.1037//0033-2909.112.1.155 · Cited by 8,771
THE BIG FIVE PERSONALITY DIMENSIONS AND JOB PERFORMANCE: A META‐ANALYSIS
BARRICK, M. R., & MOUNT, M. K. (1991) · Personnel Psychology · doi:10.1111/j.1744-6570.1991.tb00688.x · Cited by 8,689
The use of ranks to avoid the assumption of normality implicit in the analysis of variance
Friedman, M. (1937) · Journal of the American Statistical Association · doi:10.1080/01621459.1937.10503522 · Cited by 7,005
Statistical Methods for Meta-Analysis.
Freeman, P. R., Hedges, L. V., & Olkin, I. (1986) · Biometrics · doi:10.2307/2531069 · Cited by 4,839
Research works printed but not linked: 12
- Clark‐Carter D., 2003, Effect size: The missing piece in the jigsaw, Psychologist, 16, 636
- Cochrane Collaboration, 2008, Review Manager (RevMan) for Windows: Version 5.0
- 10.1037/0033-2909.112.1.155 · DOI · Paper page
- DeCoster J., 1998, Microsoft Excel spreadsheets: Meta‐analysis
- Field A. P., 2005, A handbook of research methods in clinical and health psychology, 295
- Field A. P., 2009, How to do a meta‐analysis
- Fisher R. A., 1935, The design of experiments
- 10.2307/1164832 · DOI · Paper page
- Lavesque R., 2001, Syntax: Meta‐analysis
- 10.3102/10769986008002157 · DOI · Paper page
- Schwarzer G., 2005, Meta
- Wilson D. B., 2004, A spreadsheet for calculating standardized mean difference type effect sizes
Cited by
Sorted by citations
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Hayes, S. A., & Watson, S. L. (2013) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-012-1604-y · Cited by 1,847
Broadbent, J., & Poon, W. L. (2015) · The Internet and Higher Education · doi:10.1016/j.iheduc.2015.04.007 · Cited by 1,692
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Sonuga-Barke, E. J. S., Brandeis, D., Cortese, S., Daley, D., Ferrin, M., Holtmann, M., Stevenson, J., Danckaerts, M., van der Oord, S., Döpfner, M., et al. (2013) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2012.12070991 · Cited by 1,167
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Suurmond, R., van Rhee, H., & Hak, T. (2017) · Research Synthesis Methods · doi:10.1002/jrsm.1260 · Cited by 881
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Trickey, D., Siddaway, A. P., Meiser-Stedman, R., Serpell, L., & Field, A. P. (2012) · Clinical Psychology Review · doi:10.1016/j.cpr.2011.12.001 · Cited by 828
Self-citationTaylor, G., Jungert, T., Mageau, G. A., Schattke, K., Dedic, H., Rosenfield, S., & Koestner, R. (2014) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2014.08.002 · Cited by 816
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Vall, E., & Wade, T. (2015) · International Journal of Eating Disorders · doi:10.1002/eat.22411 · Cited by 458
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Dawel, A., O’Kearney, R., McKone, E., & Palermo, R. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.08.006 · Cited by 525
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Liu, D., Jiang, K., Shalley, C. E., Keem, S., & Zhou, J. (2016) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2016.08.001 · Cited by 546
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“Random-effects are recommended (Field, 2005) and allow for generalization beyond the studies included in the current meta-analysis (Field and Gillett, 2010) which is preferred given the emerging nature of SNS-related body image research.”
BackgroundVan Eck, R. M., Burger, T. J., Vellinga, A., Schirmbeck, F., & de Haan, L. (2018) · Schizophrenia Bulletin · doi:10.1093/schbul/sbx088 · Cited by 260
Quintana, D. S. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01549 · Cited by 284
Lauriola, M., Panno, A., Levin, I. P., & Lejuez, C. W. (2013) · Journal of Behavioral Decision Making · doi:10.1002/bdm.1784 · Cited by 283
Nations' income inequality predicts ambivalence in stereotype content: How societies mind the gap
Durante, F., Fiske, S. T., Kervyn, N. O., Cuddy, A. J. C., Akande, A., Adetoun, B. E., Adewuyi, M. F., Tserere, M. M., Ramiah, A. A., Mastor, K. A., et al. (2012) · British Journal of Social Psychology · doi:10.1111/bjso.12005 · Cited by 290
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Pinto, A. C. S. N., Faiz, O. D., Davis, R. E., Almoudaris, A. M., & Vincent, C. A. (2016) · BMJ Open · doi:10.1136/bmjopen-2014-007224 · Cited by 248
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Sawyer, A., Ayers, S., & Field, A. P. (2010) · Clinical Psychology Review · doi:10.1016/j.cpr.2010.02.004 · Cited by 271
Self-citationCarlson, E. N., Vazire, S., & Oltmanns, T. F. (2011) · Journal of Personality and Social Psychology · doi:10.1037/a0023781 · Cited by 222
Kaluza, A. J., Boer, D., Buengeler, C., & van Dick, R. (2019) · Work & Stress · doi:10.1080/02678373.2019.1617369 · Cited by 283
Hennissen, L., Bakker, M. J., Banaschewski, T., Carucci, S., Coghill, D., Danckaerts, M., Dittmann, R., Hollis, C. P., Kovshoff, H., McCarthy, S., et al. (2017) · CNS Drugs · doi:10.1007/s40263-017-0410-7 · Cited by 225
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van Aert, R. C. M., Wicherts, J. M., & van Assen, M. A. L. M. (2016) · Perspectives on Psychological Science · doi:10.1177/1745691616650874 · Cited by 219
Moreno, C. R. D. C., Marqueze, E. C., Sargent, C., Wright, K. P., Ferguson, S. A., & Tucker, P. (2019) · Industrial Health · doi:10.2486/indhealth.sw-1 · Cited by 246
Treating offenders with mental illness: A research synthesis.
Morgan, R. D., Flora, D. B., Kroner, D. G., Mills, J. F., Varghese, F., & Steffan, J. S. (2012) · Law and Human Behavior · doi:10.1037/h0093964 · Cited by 215
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Ma, L., & Zhan, M. M. (2016) · Journal of Public Relations Research · doi:10.1080/1062726x.2016.1166367 · Cited by 214
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The relationship between adult attachment style and post-traumatic stress symptoms: A meta-analysis
Woodhouse, S., Ayers, S., & Field, A. P. (2015) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2015.07.002 · Cited by 210
Self-citationFamily correlates of false belief understanding in early childhood: A meta-analysis
Devine, R. T., & Hughes, C. (2018) · Child Development · doi:10.1111/cdev.12682 · Cited by 265
Metadata
- Authors
- Field, A. P., & Gillett, R.
- Affiliations
- University of Sussex (GB)
- University of Leicester (GB)
- Corresponding author
- Field, Andy P.
- Gillett, Raphael
- ORCID
- Field, Andy P.
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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