Abstract

The LOOK, an iOS app, is a viewing time measure used to assess sexual interest. The measure is based on the assumption that sexual interest can be assessed by the amount of time a participant spends looking at an image. The purpose of this study was to examine the ability of the LOOK, a newly developed viewing time instrument, to accurately screen and diagnose individuals with deviant sexual interest. The profiles of known sexual offenders were compared to norm-referenced profiles of an exclusively heterosexual, non-pedophilic, male, college student population. Researchers were not able to find a fair constant multiplier that would allow for a positive screen of our offender sample while not over identifying our non-offender sample. Instead a graph was generated which showed the trends of offenders were closely related to those of non-offenders using Fischerâ€™s Chi-square model. Additionally, when looking at the predictive validity of being able to identify victim demographics of known perpetrators based on Fischerâ€™s Chi Square residuals, only 15.9% were found to have offense histories that were consistent with their profiles on the LOOK. The LOOK, using Fischerâ€™s Chi-square model does not seem to be able to differentiate offenders from non-offenders. Future studies may include looking at the predictive nature of ipsative data.

Degree

PhD

College and Department

David O. McKay School of Education; Counseling Psychology and Special Education

Rights

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