Child Care and Early Education Research Connections

Skip to main content

Approaches to validating child care quality rating and improvement systems (QRIS): Results from two states with similar QRIS type designs

Description:
In recent years, child care quality rating and improvement systems (QRISs) have become an increasingly popular policy tool to improve quality in early childhood education and care (ECEC) settings and have been adopted in many localities and states. The QRIS proposition is that with higher-quality child care settings, it is more likely that children who attend those high-quality programs will benefit in terms of outcomes like school readiness. However, in order to demonstrate this linkage, QRIS standards and ratings must function as intended, i.e. be valid. This paper presents a framework for validating child care quality improvement standards and processes, along with examples from recent QRIS validation studies in two states. The state examples provide useful data about the strengths and limitations of these validation approaches. We discuss the implications of applying these approaches and provide recommendations to researchers, policy-makers, and program leaders who implement QRIS validation studies. (author abstract)
Resource Type:
Reports & Papers
Country:
United States
State(s)/Territories/Tribal Nation(s):
Indiana; Maine

Related resources include summaries, versions, measures (instruments), or other resources in which the current document plays a part. Research products funded by the Office of Planning, Research, and Evaluation are related to their project records.

- You May Also Like

These resources share similarities with the current selection.

A foundation for quality improvement systems: State licensing, preschool, and QRIS program quality standards

Fact Sheets & Briefs

A quality rating and improvement system for Connecticut: QRIS Workgroup final report: June 2014

Reports & Papers

Assessment in quality rating & improvement systems

Fact Sheets & Briefs
Release: 'v1.57.0' | Built: 2024-03-14 09:29:08 EDT