Test–retest reliability for a social discounting of personal information task

Increasing cybercrime rates means identifying potential victims is critically important. Social discounting tasks show that individuals share less personally identifying information as social distance increases. However, the test-retest reliability and uniqueness of this measure is unclear. The current study assessed social discounting for personally identifying information (SDPII), delay discounting, risk taking, and personality at two measurement waves 30 days apart for 64 undergraduate students. Test-retest reliability was statistically significant for the SDPII and all other measures, replicating previous studies. SDPII rates were not significantly correlated with other measures during both measurement waves, showing discriminant validity. SDPII rates were lower than those reported in a previous study but were still well described by a hyperbolic discounting function, suggesting replicability across studies. The high test-retest reliability, uniqueness, and replicability of the SDPII suggests that it may quantitatively identify cybercrime victimization. Future research should test which measure or combination of measures can accurately predict scam and cybercrime victimization to inform data-based interventions.

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Publication Details

Journal
Journal of the Experimental Analysis of Behavior
Published
2025-12-09
DOI
https://doi.org/10.1002/jeab.70071
Primary Topic
Crime Patterns and Interventions
Type
article
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article

Test–retest reliability for a social discounting of personal information task

Paul Romanowich, Qian Chen, Stacy Willson, Kevin Barba De La Mora
Journal of the Experimental Analysis of Behavior
Crime Patterns and Interventions
article

Test–retest reliability for a social discounting of personal information task

Paul Romanowich, Qian Chen, Stacy Willson, Kevin Barba De La Mora
article en

Abstract

Increasing cybercrime rates means identifying potential victims is critically important. Social discounting tasks show that individuals share less personally identifying information as social distance increases. However, the test-retest reliability and uniqueness of this measure is unclear. The current study assessed social discounting for personally identifying information (SDPII), delay discounting, risk taking, and personality at two measurement waves 30 days apart for 64 undergraduate students. Test-retest reliability was statistically significant for the SDPII and all other measures, replicating previous studies. SDPII rates were not significantly correlated with other measures during both measurement waves, showing discriminant validity. SDPII rates were lower than those reported in a previous study but were still well described by a hyperbolic discounting function, suggesting replicability across studies. The high test-retest reliability, uniqueness, and replicability of the SDPII suggests that it may quantitatively identify cybercrime victimization. Future research should test which measure or combination of measures can accurately predict scam and cybercrime victimization to inform data-based interventions.

Journal of the Experimental Analysis of BehaviorVol. 125(1)
Gonzaga University (US), The University of Texas at San Antonio (US)
Openalex Percentile: Top 52%
Crime Patterns and Interventions
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Test–retest reliability for a social discounting of personal information task — Paul Romanowich, Qian Chen, et al. · Journal of the Experimental Analysis of Behavior (2025) | TGRS Research Map | TGRS