Modic , D , Palomäki , J , Drosinou , M & Laakasuo , M 2018 , ' The dark triad and willingness to commit insurance fraud ' , Cogent Psychology , vol. 5 , no. 1 , 1469579 . https://doi.org/10.1080/23311908.2018.1469579
Title: | The dark triad and willingness to commit insurance fraud |
Author: | Modic, David; Palomäki, Jussi; Drosinou, Marianna; Laakasuo, Michael |
Contributor organization: | Department of Digital Humanities Medicum Department of Psychology and Logopedics Cognitive Science Cognitive Science |
Date: | 2018-05-16 |
Language: | eng |
Number of pages: | 12 |
Belongs to series: | Cogent Psychology |
ISSN: | 2331-1908 |
DOI: | https://doi.org/10.1080/23311908.2018.1469579 |
URI: | http://hdl.handle.net/10138/236436 |
Abstract: | We evaluated how the dark triad (DT) personality traits (Psychopathy, Machiavellianism, Narcissism) influence willingness to claim for insurance in an online setting. In two mTurk studies (Ns 344 and 699) we created realistic online insurance claim tasks where participants could file claims for insured household items they had supposedly broken. We predicted “fibbing” (i.e., overclaiming the item values) in these tasks using the DT traits. However, within Study 2, we included monetary incentives and situational factors relating to claiming—that is, whether the items were broken in anger, while drunk, or by sheer accident. In both studies all DT traits predicted fibbing, but the results were weak for psychopathy in Study 1, while in Study 2 psychopathy was the strongest individual predictor of fibbing. Our results help understand why certain people are willing to commit insurance fraud, and provide an opening for further interdisciplinary research on insurance and personality science. |
Subject: |
515 Psychology
DARK TRIAD DECEPTION MACHIAVELLIANISM PSYCHOPATHY NARCISSISM insurance fraud narcissistic personality-inventory 5-FACTOR MODEL BEHAVIOR TRAITS |
Peer reviewed: | Yes |
Rights: | cc_by |
Usage restriction: | openAccess |
Self-archived version: | publishedVersion |
Total number of downloads: Loading...
Files | Size | Format | View |
---|---|---|---|
23311908.2018.1469579.pdf | 709.0Kb |
View/ |