An advanced method to streamline p-hacking

Marko Sarstedt and Susanne J. Adler

Journal of Business Research, 2023, vol. 163, issue C

Abstract: Recent research proposed an efficient way of streamlining p-hacking: a metric of randomly generated p-values that always indicates significant results (pointless). However, the metric’s applicability is limited, since it covers only a very small range of use cases that are relevant for p-hacking researchers. To address this issue, we present extra pointless, a new metric that allows researchers to freely specify desired p-value ranges while safeguarding full reproducibility. Our newly introduced extra pointless metric not only addresses the limitations of the original metric but also answers editors’ and reviewers’ calls for alternative and innovative statistical approaches. An R-based, interactive shiny web app helps researchers with little background in coding to apply our metric.

Keywords: Hypothesis testing; P-hacking; Publication bias; Selective reporting (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:163:y:2023:i:c:s0148296323003004

DOI: 10.1016/j.jbusres.2023.113942

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