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The Meta-Plot: A Graphical Tool for Interpreting the Results of a Meta-Analysis

  • Marcel A.L.M. Van Assen
  • , Olmo R. Van Den Akker
  • , Hilde E.M. Augusteijn
  • , Marjan Bakker
  • , Michèle B. Nuijten
  • , Anton Olsson-Collentine
  • , Andrea H. Stoevenbelt
  • , Jelte M. Wicherts
  • , Robbie C.M. Van Aert*
  • *Corresponding author for this work
  • Tilburg University

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

The meta-plot is a descriptive visual tool for meta-analysis that provides information on the primary studies in the meta-analysis and the results of the meta-analysis. More precisely, the meta-plot portrays (1) the precision and statistical power of the primary studies in themetaanalysis, (2) the estimate and confidence interval of a random-effects meta-analysis, (3) the results of a cumulative random-effects metaanalysis yielding a robustness check of the meta-analytic effect size with respect to primary studies' precision, and (4) evidence of publication bias. After explaining the underlying logic and theory, the meta-plot is applied to two cherry-picked meta-analyses that appear to be biased and to 10 randomly selected meta-analyses from the psychological literature. We recommend accompanying any meta-analysis of common effect size measures with the meta-plot.

Original languageEnglish
Pages (from-to)65-78
Number of pages14
JournalZeitschrift fur Psychologie / Journal of Psychology
Volume231
Issue number1
DOIs
Publication statusPublished - Feb 2023

Bibliographical note

Publisher Copyright:
© 2023 Hogrefe Verlag GmbH & Co. KG. All rights reserved.

Funding

This research was supported by the European Research Council, Grant Number: 726361 (IMPROVE).

FundersFunder number
European Research Council726361

    Keywords

    • cumulative meta-analysis
    • funnel plot
    • meta-analysis
    • publication bias
    • statistical power

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