Dissertations, Theses, and Capstone Projects
A Cognitive-Based Indicator of Deviant Sexual Arousal: Concurrent Validation of the Emotional Stroop
Date of Degree
9-2015
Document Type
Dissertation
Degree Name
Ph.D.
Program
Psychology
Advisor
Elizabeth L. Jeglic
Subject Categories
Clinical Psychology | Law
Abstract
One of the strongest dynamic predictors of sexual recidivism among sex offenders is deviant sexual arousal (DSA; Hanson & Bussiére, 1998). Phallometric testing, the most commonly used method of assessing DSA, has elicited numerous methodological, ethical, and financial criticisms, while self-report measures are vulnerable to social desirability and lack of self-awareness. In an effort to overcome the limitations of previous measures of DSA, researchers have employed cognitive measures including a modified version of the Stroop task to measure DSA among sexual offenders (Price & Hanson, 2007; Smith & Waterman, 2004). These original studies used victim selection to assess the concurrent validity of the Stroop as a measure of DSA. However this assumes that victim selection is based upon DSA, which is not always the case. Therefore the research to date evaluating the Stroop as a measure of DSA has been inconclusive at best. Thus, the current validation study explored the ability of the Stroop task to assess DSA by comparing deviant Stroop latency to self-reported DSA among a non-offending sample of 570 females and 223 males. The results indicated a significant relationship between self-reported deviance and deviant Stroop performance, suggesting that the Stroop is a viable option for assessing DSA. The results have far reaching implications for sex offender risk assessment, as validation of a non-invasive, cognitive measure would allow clinicians to more quickly and ethically assess sexual offenders for risk of reoffending by evaluating their level of DSA.
Recommended Citation
Spada, Ashley H., "A Cognitive-Based Indicator of Deviant Sexual Arousal: Concurrent Validation of the Emotional Stroop" (2015). CUNY Academic Works.
https://academicworks.cuny.edu/gc_etds/1138