Classification models of child molesters utilizing the Abel Assessment forsexual interest (TM)

Citation
Gg. Abel et al., Classification models of child molesters utilizing the Abel Assessment forsexual interest (TM), CHILD ABUSE, 25(5), 2001, pp. 703-718
Citations number
16
Categorie Soggetti
Social Work & Social Policy
Journal title
CHILD ABUSE & NEGLECT
ISSN journal
01452134 → ACNP
Volume
25
Issue
5
Year of publication
2001
Pages
703 - 718
Database
ISI
SICI code
0145-2134(200105)25:5<703:CMOCMU>2.0.ZU;2-N
Abstract
Objective: The aims of this study are to demonstrate 1) the criterion valid ity of the Abel Assessment for sexual interest (TM) (AASI) based on its abi lity to discriminate between non child molesters and admitting child molest ers, and 2) its resistance to falsification based on its ability to discrim inate between liar-denier child molesters and non child molesters, Method: A group of 747 participants matched by age, race, and income was us ed to develop three logistic regression equations. The models compare a gro up of non child molesting patients under evaluation for other paraphilias t o three groups: 1) a group of admitting molesters of girls under 14 years o f age, 2) a group of admitting molesters of boys under 14 years of age, and 3) a group believed to be concealing or denying having molested. Results: Both of the equations designed to discriminate between admitting c hild molesters and non child molesters were statistically significant. The equation contrasting child molesters attempting to conceal or deny their be havior and non child molesting patients was also statistically significant, Conclusions: The models classifying admitting child molesters versus non ch ild molesters demonstrate criterion validity, while the third model provide s evidence of the AASI's resistance to falsification and its utility as a t ool in the detection of child molesters who deny the behavior. Results of t he equations are reported and suggestions for their use are discussed. (C) 2001 Elsevier Science Ltd. All rights reserved.