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Bayesian belief updating after a replication experiment

  • Alex O. Holcombe (a1) and Samuel J. Gershman (a2)


Zwaan et al. and others discuss the importance of the inevitable differences between a replication experiment and the corresponding original experiment. But these discussions are not informed by a principled, quantitative framework for taking differences into account. Bayesian confirmation theory provides such a framework. It will not entirely solve the problem, but it will lead to new insights.



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