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Research on Social Work Practice
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Predicting Program Completion Among Families Enrolled in a Child Neglect Preventive Intervention

Heather Girvin

University of Maryland, Baltimore, heather.girvin{at}millersville.edu

Diane DePanfilis

University of Maryland, Baltimore

Clara Daining

University of Maryland, Baltimore

Objective: An exploratory analysis of self-report data gathered by the Family Connections program is used to build a predictive model of program completion. Method: The sample includes 136 families in a poor, urban neighborhood who meet risk criteria for child neglect. Families are randomly assigned to receive 3- or 9-month interventions. Bivariate analyses compare families who did and did not complete services. Logistic regression analysis identifies service-completion predictors for 136 families for whom pre- and post-data are available. Results: More caregivers in the 3-month group complete services. Completers have more children and report a more positive alliance with their workers. Depressive symptoms, worker alliance, and treatment-group status predict service completion in the final model. Conclusions: Findings and implications for practice are discussed.

Key Words: child neglect prevention • program completion

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This version was published on November 1, 2007

Research on Social Work Practice, Vol. 17, No. 6, 674-685 (2007)
DOI: 10.1177/1049731507300285
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