Corrupt Research: The Case for Reconceptualizing Empirical Management and SocialScience

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Moving to a World Beyond “p < 0.05” (2019, unknown): “There’s not much we can say here about the perils of p -values and significance testing that hasn’t been said already for decades (Ziliak and McCloskey 2008; Hubbard 2016).”
Enhancing Rigor in Quantitative Entrepreneurship Research (2019, background): “…for lacking the rigor and transparency that would allow others to understand and replicate research findings (e.g., Baker, 2016; Gelman, 2018; Hubbard, 2015; McShane et al., 2019; Miguel et al., 2014; Nosek 1Aalto University, Espoo, Finland 2Vrije Universiteit Amsterdam, The…”
Degrees of Freedom in Planning, Running, Analyzing, and Reporting Psychological Studies: A Checklist to Avoid p-Hacking (2016, background): “Since most results in psychology are presented in the realm of the hypothetico-deductive model (Hubbard, 2015), it is tempting to present exploratory findings incorrectly as having been hypothesized in advance.”
Emotions in Tourism: Theoretical Designs, Measurements, Analytics, and Interpretations (2020, methodology): “…use of MRA and SEM for proposing and testing variable directional relationships (VDR) using NHST is bad science practice as a number of scholars (Hubbard 2015; Meehl 1978; Woodside 2019; Ziliak and McCloskey 2008) and the American Statistical Association (ASA) advance (Wasserstein and Lazar…”