HARKing: How Badly Can Cherry-Picking and Question Trolling Produce Bias in Published Results?
By Kevin J. Murphy, Herman Aguinis. 2019
122 citations recorded by the source corpus.
Subfields: General Decision Sciences, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/02e83c56aaa77e58af2631a9531659a48990ec2d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In General Decision Sciences
In Statistics and Probability
- Nawaf Alabduljader
- Ravi S. Ramani
- Heikki Huttunen
- Esin Guldogan
- Oguzhan Gencoglu
- Chamin Morikawa
- Mark J. van Gils
- Mehmet Süzen
Citations in the corpus
- HARK Side of Deep Learning - From Grad Student Descent to Automated Machine Learning (2019, background): “A number of studies in recent years have examined and discussed the incidences, causes and implications of such practices within various fields such as management, psychology as well as natural sciences [3, 4, 5].”
- Best-Practice Recommendations for Producers, Evaluators, and Users of Methodological Literature Reviews (2020, background): “…of QRPs in literature reviews given that authors’ motivation to publish may in some cases supersede their motivation to be transparent and clearly communicate judgment calls (Aguinis et al., 2018; Aguinis & Solarino, 2019; Bettis et al., 2016; Murphy & Aguinis, 2019; Schwab & Starbuck, 2017).”