| Literature DB >> 27429600 |
Bridgette Lery1, Emily Putnam-Hornstein2, Wendy Wiegmann3, Bryn King3.
Abstract
Building and sustaining effective child welfare practice requires an infrastructure of social work professionals trained to use data to identify target populations, connect interventions to outcomes, adapt practice to varying contexts and dynamic populations, and assess their own effectiveness. Increasingly, public agencies are implementing models of self-assessment in which administrative data are used to guide and continuously evaluate the implementation of programs and policies. The research curriculum described in the article was developed to provide Title IV-E and other students interested in public child welfare systems with hands-on opportunities to become experienced and "statistically literate" users of aggregated public child welfare data from California's administrative child welfare system, attending to the often missing link between data/research and practice improvement.Entities:
Keywords: child welfare; evidence-based practices; workforce issues
Year: 2015 PMID: 27429600 PMCID: PMC4944851 DOI: 10.1080/15548732.2015.1043421
Source DB: PubMed Journal: J Public Child Welf ISSN: 1554-8732