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Article

Psychometric Evidence for Indirect Assessment of Child Abuse Risk in Child Welfare-Involved Mothers

1
Department of Psychology, University of Alabama at Birmingham, Birmingham, AL 35294-1170, USA
2
Department of Psychology, University of North Carolina at Greensboro, Greensboro, NC 27402-3170, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Brian Littlechild
Children 2022, 9(5), 711; https://doi.org/10.3390/children9050711
Received: 23 February 2022 / Revised: 22 April 2022 / Accepted: 10 May 2022 / Published: 12 May 2022
Most research on factors related to physical child abuse risk rely heavily on direct self-report measures, which is a methodological strategy susceptible to participant response distortions. Such methodological reliance obfuscates the interpretations rendered about the risk factors predictive of child abuse. Efforts to develop alternative indirect assessment approaches, such as analog tasks, show promise, although most of those studies have applied these methods to community samples rather than with child welfare-involved samples. The present study evaluated the psychometric evidence for four separate analog tasks that have not yet been considered with mothers identified for child maltreatment by child welfare services, also contrasted to a sociodemographically matched sample of mothers. The results indicate acceptable reliability for the analog tasks, with additional evidence of validity. However, the two groups of mothers did not substantively differ across measures, suggesting that identification for abuse through child protective services does not differentiate from those closely matched on critical sociodemographic characteristics. The promising preliminary results of these analog tasks in the current study suggest that indirect analog assessment approaches to estimate child abuse risk could be useful in efforts to minimize dependence on self-report methods. View Full-Text
Keywords: analog assessment; case-control studies; child abuse; implicit measurement; indirect assessment; psychometrics; social information processing theory analog assessment; case-control studies; child abuse; implicit measurement; indirect assessment; psychometrics; social information processing theory
MDPI and ACS Style

Rodriguez, C.M.; Silvia, P.J. Psychometric Evidence for Indirect Assessment of Child Abuse Risk in Child Welfare-Involved Mothers. Children 2022, 9, 711. https://doi.org/10.3390/children9050711

AMA Style

Rodriguez CM, Silvia PJ. Psychometric Evidence for Indirect Assessment of Child Abuse Risk in Child Welfare-Involved Mothers. Children. 2022; 9(5):711. https://doi.org/10.3390/children9050711

Chicago/Turabian Style

Rodriguez, Christina M., and Paul J. Silvia. 2022. "Psychometric Evidence for Indirect Assessment of Child Abuse Risk in Child Welfare-Involved Mothers" Children 9, no. 5: 711. https://doi.org/10.3390/children9050711

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