Citation

Panlilio CC, Miyamoto S, Font SA, Schreier HMC. Child Abuse Negl. 2019; 87: 88-99.

Affiliation

Department of Biobehavioral Health, The Pennsylvania State University, United States.

Copyright

(Copyright © 2019, Elsevier Publishing)

DOI

10.1016/j.chiabu.2018.07.021

PMID

30077402

Abstract

The objective of this study was to assess item characteristics indicative of the severity of risk for commercial sexual exploitation among a high-risk population of child welfare system involved youth to inform the construction of a screening tool. Existing studies have discerned factors that differentiate Commercial Sexual Exploitation of Children (CSEC) victims from sexual abuse victims, yet no research has been conducted to discriminate which items in a high risk population of youth are most predictive of CSEC. Using the National Survey of Child and Adolescent Well-Being (NSCAW) cohorts I and II, we examined responses from 1063 males and 1355 females ages 11 and older, over three interview periods. A 2-parameter logistic Item Response Theory (2 PL IRT) model was employed in order to examine item performance as potential indicators for the severity of risk for CSEC. Differential Item Functioning (DIF) analysis was conducted in order to examine potential differences in item responses based on gender. Modeling strategies to assess item difficulty and discrimination were outlined and Item Characteristic Curves for the final retained items were presented. Evidence for uniform DIF were present within items that asked about runaway, any drug use, suicidality, and experiencing severe violence.

RESULTS from this study can inform the construction of a screening instrument to assess the severity of risk for experiencing CSEC.

Copyright © 2018 Elsevier Ltd. All rights reserved.

Language: en

Keywords

Child welfare system involvement; Commercial sexual exploitation of children; DIF; Differential item functioning; Human trafficking; IRT; Item response theory; Maltreatment; Risk; Sex trafficking