Cited by 21Meta-analysis and systematic reviewsPsychology Research and BibliometricsStatistical Methods and Bayesian Inference

In Defense of HARKing

Vancouver, Jeffrey B.·2018·Industrial and Organizational Psychology

Abstract

Science is a complex task. It involves the creation and dissemination of knowledge. The creation of knowledge requires identifying and abstracting patterns (i.e., identifying phenomena and theorizing about the processes that bring it about), as well as systematically observing to better see and quantify the patterns (e.g., effect size estimating) or assess the validity of the abstractions used to explain the patterns (i.e., theory testing). To help (a) hone in on what observations would be useful and (b) communicate what the patterns mean, we are encouraged to develop and report hypotheses. That is, strategically , hypotheses facilitate the planning of data collection by helping the researcher understand what patterns need to be observed to assess the merit of an explanation. Meanwhile, tactically , hypotheses help focus the audience on the crucial patterns needed to answer a question or test a theory. When the strategic hypotheses are not supported, it raises a question regarding what to do tactically. Depending on the result (i.e., different direction; null), one might construct a hypothesis to facilitate dissemination without reporting this post hoc construction or remove mention of a hypothesis altogether. This practice is called HARKing (i.e., hypothesizing after results are known). HARKing has been so disparaged as to be considered a “detrimental research practice” (Grand et al., 2018, p. 6). As such, the Society for Industrial and Organizational Psychology's (SIOP) Rob…

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Crossref · 10.1017/iop.2017.89

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  • If suppressed a priori hypotheses are irrelevant to the final research conclusions, their suppression will not bias those conclusions.

    “In particular, if suppressed a priori hypotheses are irrelevant to the final research conclusions, then their suppression will not bias those conclusions (Leung, 2011; Rubin, 2017c, 2019a; Vancouver, 2018).”

    From Does preregistration improve the credibility of research findings? (2020) · cites this paper as Vancouver, 2018

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Authors
Vancouver, J. B.
Affiliations
Ohio University (US)
Corresponding author
Vancouver, Jeffrey B.
Venue
Industrial and Organizational Psychology
Published
2018-03
Volume
11
Issue
1
Pages
73-80
ISSN
  • 1754-9426 (ISSN-L)
  • 1754-9434
OpenAlex
W2791331854
Cited by
21
References
1
Citations by year
2026: 3 · 2025: 3 · 2023: 4 · 2022: 5 · 2021: 1 · 2020: 2 · 2019: 3
FWCI
1.14
Type
journal article
Language
en
Open access
closed
Locations
  • Industrial and Organizational Psychology (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Keywords
HARKing, negative results, theory testing, effect size estimation

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