Evaluation and Data Use

The Child Welfare Workforce Analytics Institute is a short-term program to further the work of the QIC-WD. We received applications from across the country and, after thorough review, are pleased to announce the eight jurisdictions that were selected.

The QIC-WD is dedicated to building evidence. Foundational work in the early years of the Center included combing the literature from multiple fields (e.g., business, education, industrial-organizational psychology) to inform strategies to strengthen the

Child welfare worker turnover is costly and can negatively affect the relationship between families and the child welfare agency.

The Quality Improvement Center for Workforce Development (QIC-WD) partnered with the Virginia Department of Social Services (VDSS) in 2017 to conduct research examining the efficacy of technology interventions aimed at reducing child welfare staff turnove

Public child welfare agencies continually struggle with how to address issues of staff recruitment and retention. Furthermore, very little evidence exists regarding what works to attract, select, and retain talented staff.

Check out this article, "Conducting Comprehensive Workforce Needs Assessments in Child Welfare," by the QIC-WD team.

This post highlights a few tips the QIC-WD shared with a group of human services training evaluators about how to effectively use and share data with child welfare providers and administrators.

The QIC-WD uses logic models—visual representations that depict the resources that go into and expected results that will come out of the implementation of a program—to guide the implementation and evaluation of the selected interventions.

Want to learn to conduct a needs assessment that will identify the root causes of your child welfare workforce challenges?

A strong relationship between two things isn’t enough to prove that one causes the other. Listen to this TED talk or check out these spurious correlations!