RT Journal Article
T1 Cheaters, liars, or both?  A new classification of dishonesty profiles
A1 Pascual Ezama, David
A1 Muñoz García, Adrián
A1 Prelec, Drazen
A1 Gil Gómez De Liaño, Beatriz Teresa
AB 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.
PB Sage Journals
SN 0956-7976
YR 2020
FD 2020-08-11
LK https://hdl.handle.net/20.500.14352/128818
UL https://hdl.handle.net/20.500.14352/128818
LA eng
NO Pascual-Ezama, D., Prelec, D., Muñoz, A., & Gil-Gómez de Liaño, B. (2020). Cheaters, Liars, or Both? A New Classification of Dishonesty Profiles. Psychological Science, 31(9), 1097-1106. https://doi.org/10.1177/0956797620929634 (Original work published 2020)
DS Docta Complutense
RD 19 dic 2025