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Shi, Dingjing; Tong, Xin – Sociological Methods & Research, 2022
This study proposes a two-stage causal modeling with instrumental variables to mitigate selection bias, provide correct standard error estimates, and address nonnormal and missing data issues simultaneously. Bayesian methods are used for model estimation. Robust methods with Student's "t" distributions are used to account for nonnormal…
Descriptors: Bayesian Statistics, Monte Carlo Methods, Computer Software, Causal Models
Bracey, Gerald W. – Principal Leadership, 2009
Although the No Child Left Behind (NCLB) Act refers to "low performing" schools as "in need of improvement," no one outside of the U.S. Department of Education uses that phrase. The term most commonly used is "failing." NCLB offers a single, explicit definition of a failing school: one that fails to make adequate…
Descriptors: Federal Legislation, Educational Improvement, Federal Programs, Educational Indicators
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Williams, Sheara A. – School Social Work Journal, 2008
The purpose of this article is to introduce the Early Childhood Longitudinal Study-Kindergarten (ECLS-K) database to school social work practitioners and researchers. This database not only serves as a viable source for evidence-based practice pertaining to the influences of families and schools on the academic achievement of children beginning at…
Descriptors: Data Analysis, Databases, School Social Workers, Researchers
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Reif, Kathleen – Public Libraries, 2000
explains the work by the Maryland Association of Public Library Administrators Birth to Five Task Force that has helped public libraries get involved in community programs for preschoolers. Topics include national resources and initiatives; brain research; reading research; Early Childhood Longitudinal Study; systems reform for solving community…
Descriptors: Brain, Community Problems, Community Programs, Evaluation Methods