@article{ref1,
title="Latent class analysis risk profiles: an effective method to predict a first re-report of maltreatment?",
journal="Evaluation and program planning",
year="2020",
author="Kim, Hyunil and Jonson-Reid, Melissa and Kohl, Patricia and Chiang, Chien-Jen and Drake, Brett and Brown, Derek and McBride, Tim and Guo, Shenyang",
volume="80",
number="",
pages="e101792-e101792",
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.<br><br>Copyright © 2020 Elsevier Ltd. All rights reserved.<p /> <p>Language: en</p>",
language="en",
issn="0149-7189",
doi="10.1016/j.evalprogplan.2020.101792",
url="http://dx.doi.org/10.1016/j.evalprogplan.2020.101792"
}