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

Gretchen Kirby, Pia Caronongan, Andrea Mraz Esposito, Lauren Murphy, Megan Shoji, Patricia Del Grosso, Wamaitha Kiambuthi and Melissa Clark

Mathematica Policy Research Reports from Mathematica Policy Research

Abstract: 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.

Keywords: Race to the Top; Early Learning Challenge; Quality Rating and Improvement Systems; QRIS (search for similar items in EconPapers)
Pages: 38
New Economics Papers: this item is included in nep-edu and nep-ure
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mathematica.org/-/media/publications/p ... lection-protocol.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:mpr:mprres:f7eb0ac082d143359d14baecd4d347bc

Access Statistics for this paper

More papers in Mathematica Policy Research Reports from Mathematica Policy Research Mathematica Policy Research P.O. Box 2393 Princeton, NJ 08543-2393 Attn: Communications. Contact information at EDIRC.
Bibliographic data for series maintained by Joanne Pfleiderer () and Cindy George ( this e-mail address is bad, please contact ).