Latent class analysis risk profiles: An effective method to predict a first re-report of maltreatment?

Hyunil Kim, Melissa Jonson-Reid, Patricia Kohl, Chien-jen Chiang, Brett Drake, Derek Brown, Tim McBride and Shenyang Guo

Evaluation and Program Planning, 2020, vol. 80, issue C

Abstract: Recurrence of child maltreatment is a significant concern causing substantial individual, family and societal cost. Variable-based approaches to identifying targets for intervention may not reflect the reality that families may experience multiple co-occurring risks. An alternative approach was tested using baseline data from the National Survey of Child and Adolescent Well-being (NSCAW) I and II to develop Latent Class Analysis models of family risk classes using variables derived from prior studies of re-reporting. The samples were collected approximately 10 years apart offering a chance to test how the approach might be impacted by demographic or policy shifts. The association between baseline classes and later re-reports was tested using both samples. A two-class model of high versus low presence of baseline risk resulted that was strongly associated with later likelihood of re-report and results were relatively stable across the two studies. Person-centered approaches may hold promise in the early identification of families that require a more comprehensive array of supports to prevent re-reports of maltreatment.

Keywords: Child maltreatment; Child maltreatment report; Risk profile; Latent class analysis (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:epplan:v:80:y:2020:i:c:s0149718919301077

DOI: 10.1016/j.evalprogplan.2020.101792

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