Cheaters, liars, or both? A new classification of dishonesty profiles
Entity
UAM. Departamento de Psicología Social y MetodologíaPublisher
SAGE PublicationsDate
2020-08-11Citation
10.1177/0956797620929634
Psychological Science 31.9 (2020): 1097-1106
ISSN
0956-7976 (print); 1467-9280 (online)DOI
10.1177/0956797620929634Funded by
Funding for this research was provided by: US-UK Fulbright Commission (FMECD-ST-2017)Editor's Version
https://doi.org/10.1177/095679762092963Subjects
dishonesty; moral decision-making; behavioral profiles; PsicologíaRights
© The Author(s) 2020Abstract
Experimental studies of dishonesty usually rely on population-level analyses, which compare the distribution of claimed rewards in an unsupervised, self-administered lottery (e.g., tossing a coin) with the expected lottery statistics (e.g., 50/50 chance of winning). Here, we provide a paradigm that measures dishonesty at the individual level and identifies new dishonesty profiles with specific theoretical interpretations. We found that among dishonest participants, (a) some did not bother implementing the lottery at all, (b) some implemented but lied about the lottery outcome, and (c) some violated instructions by repeating the lottery multiple times until obtaining an outcome they felt was acceptable. These results held both in the lab and with online participants. In Experiment 1 (N = 178), the lottery was a coin toss, which permitted only a binary honest/dishonest response; Experiment 2 (N = 172) employed a six-sided-die roll, which permitted gradations in dishonesty. We replicated some previous results and also provide a new, richer classification of dishonest behavior
Files in this item
Google Scholar:Pascual-Ezama, David
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Prelec, Drazen
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Muñoz, Adrián
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Gil Gómez de Liaño, Beatriz
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