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Comparing meta-analyses and preregistered multiple-laboratory replication projects

Author

Listed:
  • Amanda Kvarven

    (University of Bergen)

  • Eirik Strømland

    (University of Bergen)

  • Magnus Johannesson

    (Stockholm School of Economics)

Abstract

Many researchers rely on meta-analysis to summarize research evidence. However, there is a concern that publication bias and selective reporting may lead to biased meta-analytic effect sizes. We compare the results of meta-analyses to large-scale preregistered replications in psychology carried out at multiple laboratories. The multiple-laboratory replications provide precisely estimated effect sizes that do not suffer from publication bias or selective reporting. We searched the literature and identified 15 meta-analyses on the same topics as multiple-laboratory replications. We find that meta-analytic effect sizes are significantly different from replication effect sizes for 12 out of the 15 meta-replication pairs. These differences are systematic and, on average, meta-analytic effect sizes are almost three times as large as replication effect sizes. We also implement three methods of correcting meta-analysis for bias, but these methods do not substantively improve the meta-analytic results.

Suggested Citation

  • Amanda Kvarven & Eirik Strømland & Magnus Johannesson, 2020. "Comparing meta-analyses and preregistered multiple-laboratory replication projects," Nature Human Behaviour, Nature, vol. 4(4), pages 423-434, April.
    • Handle: RePEc:nat:nathum:v:4:y:2020:i:4:d:10.1038_s41562-019-0787-z
    DOI: 10.1038/s41562-019-0787-z
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    Cited by:

    1. Zuzana Irsova & Pedro R. D. Bom & Tomas Havranek & Heiko Rachinger, 2023. "Spurious Precision in Meta-Analysis," Working Papers IES 2023/05, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Feb 2023.
    2. Chris Doucouliagos & Jakob de Haan & Jan-Egbert Sturm, 2022. "What drives financial development? A Meta-regression analysis [A new database of financial reforms]," Oxford Economic Papers, Oxford University Press, vol. 74(3), pages 840-868.
    3. Fišar, Miloš & Cingl, Lubomír & Reggiani, Tommaso & Kundtová Klocová, Eva & Kundt, Radek & Krátký, Jan & Kostolanská, Katarína & Bencúrová, Petra & Pešková, Marie Kudličková & Marečková, Klára, 2023. "Ovulatory shift, hormonal changes, and no effects on incentivized decision-making," Journal of Economic Psychology, Elsevier, vol. 98(C).
    4. David Bilén & Anna Dreber & Magnus Johannesson, 2021. "Are women more generous than men? A meta-analysis," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 7(1), pages 1-18, September.
    5. Felix Holzmeister & Magnus Johannesson & Robert Böhm & Anna Dreber & Jürgen Huber & Michael Kirchler, 2023. "Heterogeneity in effect size estimates: Empirical evidence and practical implications," Working Papers 2023-17, Faculty of Economics and Statistics, Universität Innsbruck.
    6. Brodeur, Abel & Cook, Nikolai M. & Hartley, Jonathan S. & Heyes, Anthony, 2023. "Do Pre-Registration and Pre-Analysis Plans Reduce p-Hacking and Publication Bias?: Evidence from 15,992 Test Statistics and Suggestions for Improvement," GLO Discussion Paper Series 1147 [pre.], Global Labor Organization (GLO).
    7. Irsova, Zuzana & Doucouliagos, Hristos & Havranek, Tomas & Stanley, T. D., 2023. "Meta-Analysis of Social Science Research: A Practitioner’s Guide," EconStor Preprints 273719, ZBW - Leibniz Information Centre for Economics.
    8. Fossen, Frank M. & Neyse, Levent & Johannesson, Magnus & Dreber, Anna, 2022. "2D:4D and Self-Employment: A Preregistered Replication Study in a Large General Population Sample," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 46(1), pages 21-43.
    9. Kim, Bitna, 2022. "Publication bias: A “bird's-eye view” of meta-analytic practice in criminology and criminal justice," Journal of Criminal Justice, Elsevier, vol. 78(C).
    10. Williams, Ralph I. & Clark, Leigh Anne & Clark, W. Randy & Raffo, Deana M., 2021. "Re-examining systematic literature review in management research: Additional benefits and execution protocols," European Management Journal, Elsevier, vol. 39(4), pages 521-533.
    11. Pavlo Blavatskyy & Valentyn Panchenko & Andreas Ortmann, 2023. "How common is the common-ratio effect?," Experimental Economics, Springer;Economic Science Association, vol. 26(2), pages 253-272, April.
    12. Doucouliagos, Hristos & Hinz, Thomas & Zigova, Katarina, 2022. "Bias and careers: Evidence from the aid effectiveness literature," European Journal of Political Economy, Elsevier, vol. 71(C).

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