Research Integrity: Best Practices for the Social and Behavioral Sciences
Lee Jussim (ed.) et al.
Published:
2022
Online ISBN:
9780190938581
Print ISBN:
9780190938550
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Research Integrity: Best Practices for the Social and Behavioral Sciences
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Robert J. MacCoun
Pages
295–315
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Published:
April 2022
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MacCoun, Robert J., 'P-hacking: A Strategic Analysis', in Lee Jussim, Jon A. Krosnick, and Sean T. Stevens (eds), Research Integrity: Best Practices for the Social and Behavioral Sciences (
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Abstract
The phenomenon of p-hacking occurs when researchers engage in questionable practices that enable them to report findings as being statistically significant. This chapter offers four models of p-hacking behavior—unconditional, strategic, greedy, and restrained—and explores the implications of each model. The author then discusses the implications of recent reforms (routine replication, preregistration, and blinded data analysis) with respect to these models. It seems clear that the set of behaviors that constitute p-hacking are quite consequential for the validity of our research and the perceived legitimacy of our authority as empirical researchers. The models of p-hacking presented here are speculative, but hopefully help shine light on some of the shadier aspects of empirical social science.
Keywords: hypothesis testing, confirmation bias, meta-science, open science, p-hacking
Subject
Social Psychology
Collection: Oxford Scholarship Online
Robert J. MacCoun, P-hacking In: Research Integrity. Edited by: Lee J. Jussim, Jon A. Krosnick, and Sean T. Stevens, Oxford University Press. © Oxford University Press 2022. DOI: 10.1093/oso/9780190938550.003.0011
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