Race to the Top-Early Learning Challenge (RTT-ELC): Descriptive Study of Tiered Quality Rating and Improvement Systems (TQRIS)

Race to the Top-Early Learning Challenge (RTT-ELC): Descriptive Study of Tiered Quality Rating and Improvement Systems (TQRIS)

Master Data Collection Protocol
Published: Jan 30, 2015
Publisher: Princeton, NJ: Mathematica Policy Research
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Associated Project

Evaluating Race to the Top and School Improvement Grants

Time frame: 2010-2018

Prepared for:

U.S. Department of Education, Institute of Education Sciences

Authors

Andrea Mraz Esposito

Lauren Murphy

Wamaitha Kiambuthi

This master data collection protocol describes the data that Mathematica collected for the Race to the Top-Early Learning Challenge Study of Tiered Quality Rating and Improvement Systems. This study was conducted for the Department of Education’s Institute of Education Sciences. The data were collected from reviews of applications, documents, and interviews with state administrators.

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