Evaluation and Data Use

This brief highlights strategies that evaluators can use to improve the utilization of child welfare workforce research, based on the experience of the QIC-WD.

This blog post describes how data dictionaries can position child welfare agencies to leverage their human resources data for workforce development.

This blog post describes two primary workforce outcomes—performance and retention—and how agencies can use workforce metrics to measure them.

Multi-site, multi-intervention, multi-design evaluations are complicated. This post summarizes key evaluation challenges and the QIC-WD's solutions to addressing complex issues inherent in child welfare workforce research.

The QIC-WD is using an assessment tool to help Institute participants determine if they practice evidence-based management.

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.