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Psychometric Evidence for Indirect Assessment of Child Abuse Risk in Child Welfare-Involved Mothers
Christina M Rodriguez1, Paul J Silvia2
1Department of Psychology, University of Alabama at Birmingham, Birmingham, AL 35294-1170, USA.
Children (Basel, Switzerland)
|May 28, 2022
Summary
This study explored indirect assessment methods for child abuse risk. Analog tasks showed promise for evaluating risk in mothers involved with child welfare services, offering an alternative to self-report measures.
Area of Science:
- Psychology
- Child Development
- Forensic Psychology
Background:
- Child abuse risk research often relies on self-report measures, which can be unreliable.
- Alternative indirect assessment methods, like analog tasks, show potential but are underutilized with child welfare-involved populations.
Purpose of the Study:
- To evaluate the psychometric properties of four analog tasks for assessing child abuse risk.
- To compare these measures between mothers identified for child maltreatment and a matched community sample.
Main Methods:
- Utilized four distinct analog tasks to assess child abuse risk factors.
- Compared psychometric data between mothers involved with child protective services and a sociodemographically matched control group.
Main Results:
- Analog tasks demonstrated acceptable reliability and validity.
- No significant differences were found between the child welfare-involved mothers and the matched control group on the analog measures.
Conclusions:
- Indirect analog assessment tasks offer a promising alternative to self-report measures for estimating child abuse risk.
- Child protective services identification alone may not differentiate mothers from closely matched community samples on these specific risk indicators.
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