A Novel Methodological Approach to Measuring Cheating Behaviors Open Access

Ren, Zhiying (Bella) (Spring 2020)

Permanent URL: https://etd.library.emory.edu/concern/etds/db78td198?locale=en%255D
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Abstract

The present study proposed a new method to measure cheating behaviors and study traits related to cheating. A total of 544 participants were recruited from Amazon Mechanical Turk to participate in the study. A computer-graded question was used to evaluate participants’ actual knowledge about a subject; a self-graded question was used to evaluate what participants self-report knowing about the same subject. A monetary incentive was provided, and participants had the opportunity to earn more by misreporting. An inconsistency between participants’ actual knowledge and their reported knowledge suggests potential cheating behaviors. To evaluate the method’s validity, the study investigated whether cheaters identified by the method also consistently cheat more in other behavioral games. The method was then used to investigate the relationship between cheating and demographic variables of interest. Cheating was found to be significantly correlated with political extremity. For cheating’s relationships with other variables, data analyses revealed associations consistent with expectations, though not at a significant level. The method was then used to examine the cognitive mechanisms behind self-serving and altruistic cheating. Results showed that people were significantly more likely to cheat for themselves than for charity donations. Meanwhile, cheating for an altruistic cause was not associated with a significantly higher increase in self-perceived morality. This study contributed to the existing literature by providing a novel and reliable method for investigating research questions related to unethical behaviors. 

Table of Contents

Table of Contents

Introduction.. 1

Study 1. 6

Method. 8

Results. 16

Discussion. 22

Study 2. 24

Method. 26

Results. 27

Discussion. 28

General Discussion. 30

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