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The costs and benefits of replication studies

Published online by Cambridge University Press:  27 July 2018

Nicholas A. Coles
Affiliation:
Department of Psychology, Austin Peay Building, University of Tennessee, Knoxville, TN 37996. [email protected]
Leonid Tiokhin
Affiliation:
School of Human Evolution and Social Change, Arizona State University, Tempe, AZ 85281. [email protected]://leotiokhin.com/
Anne M. Scheel
Affiliation:
Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, 5600 MB, Eindhoven, The Netherlands. [email protected]@[email protected]://www.tue.nl/staff/a.m.scheelhttp://www.tue.nl/staff/p.isagerhttp://www.tue.nl/staff/d.lakens
Peder M. Isager
Affiliation:
Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, 5600 MB, Eindhoven, The Netherlands. [email protected]@[email protected]://www.tue.nl/staff/a.m.scheelhttp://www.tue.nl/staff/p.isagerhttp://www.tue.nl/staff/d.lakens
Daniël Lakens
Affiliation:
Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, 5600 MB, Eindhoven, The Netherlands. [email protected]@[email protected]://www.tue.nl/staff/a.m.scheelhttp://www.tue.nl/staff/p.isagerhttp://www.tue.nl/staff/d.lakens

Abstract

The debate about whether replication studies should become mainstream is essentially driven by disagreements about their costs and benefits and the best ways to allocate limited resources. Determining when replications are worthwhile requires quantifying their expected utility. We argue that a formalized framework for such evaluations can be useful for both individual decision-making and collective discussions about replication.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2018 

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References

Goldin-Meadow, S. (2016) Preregistration, replication, and nonexperimental studies. Association for Psychological Science Observer 29(8):2.Google Scholar
Wald, A. (1950) Statistical decision functions. Wiley.Google Scholar