Cited by 239Meta-analysis and systematic reviewsPsychology Research and BibliometricsStatistical Methods in Epidemiology

A Guide to Conducting a Meta-Analysis

Cheung, Mike W.-L., Vijayakumar, Ranjith·2016·Neuropsychology Review

Abstract

Meta-analysis is widely accepted as the preferred method to synthesize research findings in various disciplines. This paper provides an introduction to when and how to conduct a meta-analysis. Several practical questions, such as advantages of meta-analysis over conventional narrative review and the number of studies required for a meta-analysis, are addressed. Common meta-analytic models are then introduced. An artificial dataset is used to illustrate how a meta-analysis is conducted in several software packages. The paper concludes with some common pitfalls of meta-analysis and their solutions. The primary goal of this paper is to provide a summary background to readers who would like to conduct their first meta-analytic study.

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Crossref · 10.1007/s11065-016-9319-z

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References 73 · Cited by 239

Authors
Cheung, M. W.-L., & Vijayakumar, R.
Affiliations
National University of Singapore (SG)
Corresponding author
Cheung, Mike W.-L.
Venue
Neuropsychology Review
Published
2016-05-21
Volume
26
Issue
2
Pages
121-128
ISSN
  • 1040-7308 (ISSN-L)
  • 1573-6660
OpenAlex
W2402600147
Cited by
239
References
73
Citations by year
2026: 22 · 2025: 43 · 2024: 31 · 2023: 52 · 2022: 29 · 2021: 30 · 2020: 15 · 2019: 6 · 2018: 4 · 2017: 3 · 2016: 4
FWCI
1.94
Type
journal article
Language
en
Open access
closed
Locations
  • Neuropsychology Review (publishedVersion)
  • PubMed (publishedVersion)
Funders
Academic Research Fund Tier 1 from the Ministry of Education, Singapore (FY2013-FRC5-002)
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, meta-analysis software, evidence synthesis
MeSH terms
Data Interpretation, Statistical, Humans, Review Literature as Topic, Software, Meta-Analysis as Topic, Publication Bias

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