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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. [email protected]://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.

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

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References

Berk, R. A., Campbell, A., Klap, R. & Western, B. (1992) The deterrent effect of arrest in incidents of domestic violence: A Bayesian analysis of four field experiments. American Sociological Review 57:698–708.Google Scholar
Cortina, J. M., Aguinis, H. & DeShon, R. P. (2017) Twilight of dawn or of evening? A century of research methods in the Journal of Applied Psychology. Journal of Applied Psychology 102(3):274–90.Google Scholar
Klein, J. R. & Roodman, A. (2005) Blind analysis in nuclear and particle physics. Annual Review of Nuclear and Particle Physics 55:141–63.Google Scholar
Lipsey, M. W. & Wilson, D. B. (1993) The efficacy of psychological, educational, and behavioral treatment: Confirmation from meta-analysis. American Psychologist 48:1181–209.Google Scholar
MacCoun, R. J. & Perlmutter, S. (2015) Hide results to seek the truth. Nature 526:187–89.Google Scholar
MacCoun, R. J. & Perlmutter, S. (2017) Blind analysis as a correction for confirmatory bias in physics and in psychology In: Psychological science under scrutiny: Recent challenges and proposed solutions, ed. Lilienfeld, S. O. & Waldman, I., pp. 297–322. Wiley.Google Scholar
Robertson, C. T. & Kesselheim, A. S. (2016) Blinding as a solution to bias: Strengthening biomedical science, forensic science, and law. Academic.Google Scholar