ERIC Number: EJ1072752
Record Type: Journal
Publication Date: 2015-Sep
Pages: 18
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0162-3737
EISSN: EISSN-1935-1062
The Prekindergarten Age-Cutoff Regression-Discontinuity Design: Methodological Issues and Implications for Application
Mark W. Lipsey; Christina Weiland; Hirokazu Yoshikawa; Sandra Jo Wilson; Kerry G. Hofer
Educational Evaluation and Policy Analysis, v37 n3 p296-313 Sep 2015
Much of the currently available evidence on the causal effects of public prekindergarten programs on school readiness outcomes comes from studies that use a regression-discontinuity design (RDD) with the age cutoff to enter a program in a given year as the basis for assignment to treatment and control conditions. Because the RDD has high internal validity when its key assumptions are met, these studies appear to provide strong evidence for the effectiveness of these programs. However, there are overlooked methodological problems in the way this design has typically been applied that have the potential to produce biased effect estimates. We describe these problems, argue that they deserve more attention from researchers using this design than they have received, and offer suggestions for improving future studies.
Descriptors: Preschool Education, Preschool Children, School Readiness, School Entrance Age, Eligibility, Regression (Statistics), Research Methodology, Statistical Bias, Research Problems, Validity, Research Design
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Publication Type: Journal Articles; Reports - Evaluative
Education Level: Preschool Education; Early Childhood Education
Audience: N/A
Language: English
Sponsor: Institute of Education Sciences (ED)
Authoring Institution: N/A
Identifiers - Location: Massachusetts; Tennessee
IES Funded: Yes
Grant or Contract Numbers: N/A