Download full textERIC Number: ED579789
Record Type: Non-Journal
Publication Date: 2015-Jan
Pages: 38
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: N/A
Race to the Top--Early Learning Challenge (RTT-ELC): Descriptive Study of Tiered Quality Rating and Improvement Systems (TQRIS). Master Data Collection Protocol
Mathematica Policy Research, Inc.
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.
Descriptors: Data Collection, Educational Quality, Educational Improvement, Competition, Interviews, Administrator Surveys, Position Papers, Content Analysis, State Officials, Administrative Organization, Eligibility, Program Implementation, Observation, Outcome Measures, Educational Indicators, Alternative Assessment, Rating Scales, Evaluation Criteria, Preschool Children, Preschool Education, Student Participation, Kindergarten, Program Evaluation, Educational Legislation, Federal Aid, Federal Programs, Federal Legislation
Mathematica Policy Research. P.O. Box 2393, Princeton, NJ 08543. Tel: 609-799-3535; Fax: 609-799-0005; e-mail: info@mathematica-mpr.com; Web site: http://www.mathematica-mpr.com
Publication Type: Tests/Questionnaires
Education Level: Preschool Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: Mathematica Policy Research, Inc.
Identifiers - Laws, Policies, & Programs: Race to the Top
Grant or Contract Numbers: N/A
IES Cited: ED577788
