Abstract

Cross-Validation Approaches for Replicability in Psychology.

Highlights

  • The ability to replicate a scientific discovery or finding is one of the features that distinguishes science from non-science and pseudo-science (Dunlap, 1925; Popper, 1959; Collins, 1985)

  • In section Simulating Replicability via Cross-Validation Techniques, we introduce the concept of cross-validation and how this technique can be utilized for establishing replicability

  • When due to practical or methodological constraints direct replication and conceptual replication are not feasible or difficult to perform, simulated replication—we contend— provides an alternative approach to put the replicability of research findings to the test

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Summary

Introduction

The ability to replicate a scientific discovery or finding is one of the features that distinguishes science from non-science and pseudo-science (Dunlap, 1925; Popper, 1959; Collins, 1985). We propose the incorporation of cross-validation techniques in single research studies as a strategy to address this issue. When due to practical or methodological constraints direct replication and conceptual replication are not feasible or difficult to perform, simulated replication—we contend— provides an alternative approach to put the replicability of research findings to the test. Simulated replicability can be implemented via procedures that repeatedly partition collected data so as to simulate replication attempts.

Results
Conclusion

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