Literature DB >> 33694078

The Difference Spotting Task: A new nonverbal measure of cheating behavior.

Jinting Liu1,2,3, Qiang Shen4,5, Jieting Zhang1,2,3, Urielle Beyens1,2,3, Wei Cai6,7, Jean Decety8,9, Hong Li10,11,12.   

Abstract

To understand when, how, and why people cheat, the ability to detect cheating in a laboratory setting is crucial. However, commonly used paradigms are confronted with a conflict between allowing participants to believe they can cheat unnoticed and allowing experimenters to detect cheating. This project aimed to develop and establish a new nonverbal task to resolve this conflict. Study 1 and Study 2 developed a new unsolvable paradigm called the Difference Spotting Task. In Study 1, participants were incentivized to indicate whether they found any difference between a pair of pictures without being asked to point the difference(s) out, so they could overreport their performance to earn extra money. Unbeknownst to them, the pairs of pictures from half of the items were identical so that the task could not be solved without cheating. This paradigm allowed experimenters to detect cheating for each unsolvable item. Study 3 examined the validity of the Difference Spotting Task and demonstrated it as a valid tool to assess cheating. The Difference Spotting Task is nonverbal and thus applicable to populations across age, educational level, and culture. In this unsolvable task, participants feel safe in cheating, and experimenters can detect cheating at the item level. The task holds the potential to gain acceptance by many researchers and facilitate the investigation of the underlying processes of cheating behavior.

Entities:  

Keywords:  Cheating; Difference Spotting Task; Dishonesty; Unsolvable paradigm

Year:  2021        PMID: 33694078     DOI: 10.3758/s13428-020-01526-w

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  17 in total

1.  The dark side of creativity: original thinkers can be more dishonest.

Authors:  Francesca Gino; Dan Ariely
Journal:  J Pers Soc Psychol       Date:  2011-11-28

2.  G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences.

Authors:  Franz Faul; Edgar Erdfelder; Albert-Georg Lang; Axel Buchner
Journal:  Behav Res Methods       Date:  2007-05

3.  Business culture and dishonesty in the banking industry.

Authors:  Alain Cohn; Ernst Fehr; Michel André Maréchal
Journal:  Nature       Date:  2014-11-19       Impact factor: 49.962

4.  The counterfeit self: the deceptive costs of faking it.

Authors:  Francesca Gino; Michael I Norton; Dan Ariely
Journal:  Psychol Sci       Date:  2010-03-23

5.  Verbal deception from late childhood to middle adolescence and its relation to executive functioning skills.

Authors:  Angela D Evans; Kang Lee
Journal:  Dev Psychol       Date:  2011-07

6.  Elementary school children's cheating behavior and its cognitive correlates.

Authors:  Xiao Pan Ding; Danielle S Omrin; Angela D Evans; Genyue Fu; Guopeng Chen; Kang Lee
Journal:  J Exp Child Psychol       Date:  2014-01-24

7.  Response to anticipated reward in the nucleus accumbens predicts behavior in an independent test of honesty.

Authors:  Nobuhito Abe; Joshua D Greene
Journal:  J Neurosci       Date:  2014-08-06       Impact factor: 6.167

8.  The truth about lies: A meta-analysis on dishonest behavior.

Authors:  Philipp Gerlach; Kinneret Teodorescu; Ralph Hertwig
Journal:  Psychol Bull       Date:  2019-01       Impact factor: 17.737

9.  cocor: a comprehensive solution for the statistical comparison of correlations.

Authors:  Birk Diedenhofen; Jochen Musch
Journal:  PLoS One       Date:  2015-04-02       Impact factor: 3.240

10.  Intrinsic honesty and the prevalence of rule violations across societies.

Authors:  Simon Gächter; Jonathan F Schulz
Journal:  Nature       Date:  2016-03-09       Impact factor: 49.962

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  1 in total

1.  Morality in the flesh: on the link between bodily self-consciousness, moral identity and (dis)honest behaviour.

Authors:  Marina Scattolin; Maria Serena Panasiti; Salvatore Maria Aglioti
Journal:  R Soc Open Sci       Date:  2022-08-31       Impact factor: 3.653

  1 in total

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