Big little lies: a compendium and simulation of p-hacking strategies [PDF]
Royal Society Open Science, 2023 In many research fields, the widespread use of questionable research practices has jeopardized the credibility of scientific results. One of the most prominent questionable research practices is p-hacking. Typically, p-hacking is defined as a compound of
Angelika M. Stefan, Felix D. Schönbrodt
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Tempest in a teacup: An analysis of p-Hacking in organizational research. [PDF]
PLoS ONE, 2023 We extend questionable research practices (QRPs) research by conducting a robust, large-scale analysis of p-hacking in organizational research. We leverage a manually curated database of more than 1,000,000 correlation coefficients and sample sizes, with
Alisha Gupta, Frank Bosco
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How to design a pre-specified statistical analysis approach to limit p-hacking in clinical trials: the Pre-SPEC framework [PDF]
BMC Medicine, 2020 Results from clinical trials can be susceptible to bias if investigators choose their analysis approach after seeing trial data, as this can allow them to perform multiple analyses and then choose the method that provides the most favourable result ...
Brennan C. Kahan +2 more
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p-Curve and p-Hacking in Observational Research. [PDF]
PLoS ONE, 2016 The p-curve, the distribution of statistically significant p-values of published studies, has been used to make inferences on the proportion of true effects and on the presence of p-hacking in the published literature.
Stephan B Bruns, John P A Ioannidis
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The extent and consequences of p-hacking in science. [PDF]
PLoS Biology, 2015 A focus on novel, confirmatory, and statistically significant results leads to substantial bias in the scientific literature. One type of bias, known as "p-hacking," occurs when researchers collect or select data or statistical analyses until ...
Megan L Head +4 more
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Problems in using p-curve analysis and text-mining to detect rate of p-hacking and evidential value [PDF]
PeerJ, 2016 Background. The p-curve is a plot of the distribution of p-values reported in a set of scientific studies. Comparisons between ranges of p-values have been used to evaluate fields of research in terms of the extent to which studies have genuine ...
Dorothy V.M. Bishop, Paul A. Thompson
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Accumulating evidence across studies: Consistent methods protect against false findings produced by p-hacking. [PDF]
PLoS ONEMuch empirical science involves evaluating alternative explanations for the obtained data. For example, given certain assumptions underlying a statistical test, a "significant" result generally refers to implausibility of a null (zero) effect in the ...
Duane T Wegener +2 more
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Reanalyzing Head et al. (2015): investigating the robustness of widespread p-hacking [PDF]
PeerJ, 2017 Head et al. (2015) provided a large collection of p-values that, from their perspective, indicates widespread statistical significance seeking (i.e., p-hacking). This paper inspects this result for robustness.
Chris H.J. Hartgerink
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Evidence that nonsignificant results are sometimes preferred: Reverse P-hacking or selective reporting? [PDF]
PLoS Biology, 2019 There is increased concern about poor scientific practices arising from an excessive focus on P-values. Two particularly worrisome practices are selective reporting of significant results and 'P-hacking'. The latter is the manipulation of data collection,
Pierre J C Chuard +3 more
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Impact of redefining statistical significance on P-hacking and false positive rates: An agent-based model. [PDF]
PLoS ONEIn recent years, concern has grown about the inappropriate application and interpretation of P values, especially the use of ...
Ben G Fitzpatrick +2 more
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