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Measurement equivalence in replications of experiments: when and why it matters and guidance on how to determine equivalence

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  • Sebastian Jilke
  • Nicolai Petrovsky
  • Bart Meuleman
  • Oliver James

Abstract

Replications of experiments are typically conducted to verify initial findings, increase their external validity, or to study the boundary conditions of treatment effects. A crucial and implicitly made assumption is that outcome measures in experiments are sufficiently comparable (i.e., equivalent) across experimental settings. We argue that there are good reasons to believe that this equivalence assumption may not always be met and should therefore be tested empirically. Integrating the literature on experimental replication and survey measurement equivalence, we provide guidance when and how experimental replicators need to determine cross-replication equivalence.

Suggested Citation

  • Sebastian Jilke & Nicolai Petrovsky & Bart Meuleman & Oliver James, 2017. "Measurement equivalence in replications of experiments: when and why it matters and guidance on how to determine equivalence," Public Management Review, Taylor & Francis Journals, vol. 19(9), pages 1293-1310, October.
    • Handle: RePEc:taf:rpxmxx:v:19:y:2017:i:9:p:1293-1310
    DOI: 10.1080/14719037.2016.1210906
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    Cited by:

    1. Luis Alfonso Dau & Grazia D. Santangelo & Arjen Witteloostuijn, 2022. "Replication studies in international business," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 53(2), pages 215-230, March.

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