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

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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… Click to show full 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: risk; maltreatment; class; class analysis; latent class

Journal Title: Evaluation and program planning
Year Published: 2020

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