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Publication bias in psychology: A closer look at the correlation between sample size and effect size

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  • Audrey Helen Linden
  • Thomas V Pollet
  • Johannes Hönekopp

Abstract

Previously observed negative correlations between sample size and effect size (n-ES correlation) in psychological research have been interpreted as evidence for publication bias and related undesirable biases. Here, we present two studies aimed at better understanding to what extent negative n-ES correlations reflect such biases or might be explained by unproblematic adjustments of sample size to expected effect sizes. In Study 1, we analysed n-ES correlations in 150 meta-analyses from cognitive, organizational, and social psychology and in 57 multiple replications, which are free from relevant biases. In Study 2, we used a random sample of 160 psychology papers to compare the n-ES correlation for effects that are central to these papers and effects selected at random from these papers. n-ES correlations proved inconspicuous in meta-analyses. In line with previous research, they do not suggest that publication bias and related biases have a strong impact on meta-analyses in psychology. A much higher n-ES correlation emerged for publications’ focal effects. To what extent this should be attributed to publication bias and related biases remains unclear.

Suggested Citation

  • Audrey Helen Linden & Thomas V Pollet & Johannes Hönekopp, 2024. "Publication bias in psychology: A closer look at the correlation between sample size and effect size," PLOS ONE, Public Library of Science, vol. 19(2), pages 1-15, February.
  • Handle: RePEc:plo:pone00:0297075
    DOI: 10.1371/journal.pone.0297075
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    References listed on IDEAS

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    1. Birk Diedenhofen & Jochen Musch, 2015. "cocor: A Comprehensive Solution for the Statistical Comparison of Correlations," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-12, April.
    2. Kerry Dwan & Carrol Gamble & Paula R Williamson & Jamie J Kirkham & the Reporting Bias Group, 2013. "Systematic Review of the Empirical Evidence of Study Publication Bias and Outcome Reporting Bias — An Updated Review," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-37, July.
    3. Robbie C M van Aert & Jelte M Wicherts & Marcel A L M van Assen, 2019. "Publication bias examined in meta-analyses from psychology and medicine: A meta-meta-analysis," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-32, April.
    4. Douglas Bonett & Thomas Wright, 2000. "Sample size requirements for estimating pearson, kendall and spearman correlations," Psychometrika, Springer;The Psychometric Society, vol. 65(1), pages 23-28, March.
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