A

Deciding what to replicate: A decision model for replication study selection under resource and knowledge constraints.

Psychological Methods, vol. 28, pp. 438–451

Abstract

. Our goal in this article is not to define concrete guidelines for study selection, but to provide the necessary theoretical foundations on which such concrete guidelines could be built. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Authors 12

  1. Eindhoven University of Technology

    Affiliation as printed

    Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology

  2. Tilburg University

    Affiliation as printed

    Department of Methodology and Statistics, Tilburg University

  3. Prague University of Economics and Business

    Affiliation as printed

    Department of Management, Faculty of Business Administration, Prague University of Economics and Business

  4. Tilburg University · Michigan State University

    Affiliation as printed

    Department of Social Psychology, Tilburg University

    Department of Psychology, Michigan State University

  5. Association for Psychological Science

    Affiliation as printed

    Association for Psychological Science

    Association for Psychological Science, Washington, DC, United States

  6. University of Kent

    Affiliation as printed

    School of Psychology, University of Kent

  7. Brown University

    Affiliation as printed

    Department of Cognitive, Linguistic and Psychological Sciences, Brown University

  8. University of Milano-Bicocca

    Affiliation as printed

    Department of Psychology, University of Milano-Bicocca

  9. University of Prešov · Charles University

    Affiliation as printed

    Faculty of Education, Charles University

    Faculty of Education, University of Presov

  10. Leiden University

    Affiliation as printed

    Methodology and Statistics Unit, Institute of Psychology, Leiden University

  11. Charles University

    Affiliation as printed

    Faculty of Social Sciences, Charles University

  12. Eindhoven University of Technology

    Affiliation as printed

    Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology

Cited by 91 stored of 78

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References 74