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Enhancing research credibility when replication is not feasible

Published online by Cambridge University Press:  27 July 2018

Robert J. MacCoun
Robert J. MacCoun*
Affiliation:
School of Law, Department of Psychology, and Freeman-Spogli Institute, Stanford University, Stanford, CA 94305. rmaccoun@stanford.eduhttps://law.stanford.edu/directory/robert-j-maccoun/
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Abstract

Direct replications are not always affordable or feasible, and for some phenomena they are impossible. In such situations, methods of blinded data analysis can help minimize p-hacking and confirmation bias, increasing our confidence in a study's results.

Information

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 41 , 2018 , e142
Copyright
Copyright © Cambridge University Press 2018 

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