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Park, Sunyoung; Natasha Beretvas, S. – Journal of Experimental Education, 2021
When selecting a multilevel model to fit to a dataset, it is important to choose both a model that best matches characteristics of the data's structure, but also to include the appropriate fixed and random effects parameters. For example, when researchers analyze clustered data (e.g., students nested within schools), the multilevel model can be…
Descriptors: Hierarchical Linear Modeling, Statistical Significance, Multivariate Analysis, Monte Carlo Methods
Gottfried, Michael A.; Little, Michael H. – Early Education and Development, 2018
Responding to a robust body of literature suggesting that children's early educational experiences are critical, policymakers have implemented and expanded the provision of full-day kindergarten (FDK) in recent decades. Most studies have focused on the effectiveness of FDK on child academic assessments or test scores, but none have examined FDK…
Descriptors: Kindergarten, School Schedules, Disabilities, Executive Function
Bitler, Marianne; Domina, Thurston; Penner, Emily; Hoynes, Hilary – Journal of Research on Educational Effectiveness, 2015
We use quantile treatment effects estimation to examine the consequences of the random-assignment New York City School Choice Scholarship Program across the distribution of student achievement. Our analyses suggest that the program had negligible and statistically insignificant effects across the skill distribution. In addition to contributing to…
Descriptors: Educational Assessment, School Choice, Educational Vouchers, Case Studies
Morris, Pamela A.; Mattera, Shira K.; Maier, Michelle F. – MDRC, 2016
In the context of a persistent achievement lag among low-income children despite substantial investments in early education, policymakers and practitioners continue to seek ways to improve the quality of children's preschool experiences. The Making Pre-K Count study addresses whether strengthening prekindergarten (pre-K) instruction in math,…
Descriptors: Preschool Education, Mathematics Instruction, Mathematics Curriculum, Coaching (Performance)
Fitzpatrick, Maria D.; Grissmer, David; Hastedt, Sarah – Economics of Education Review, 2011
Knowing whether time spent in formal schooling increases student achievement, and by how much, is important for policymakers interested in determining efficient use of resources. Using the ECLS-K, we exploit quasi-randomness in the timing of assessment dates to examine this question. Conservative estimates suggest a year of school results in gains…
Descriptors: Conventional Instruction, Traditional Schools, Academic Achievement, Kindergarten
Goetz, Michael Eric – ProQuest LLC, 2012
This study explores the cost-effectiveness ratios associated with individual tutoring, intensive reading/language arts instruction, and a focus on core subject areas. Using the Early Childhood Longitudinal Study (ECLS-K) database, this study analyzes these programs using a three-level hierarchical linear model (HLM) with a nationally…
Descriptors: Cost Effectiveness, Tutoring, Reading Instruction, Language Arts
Brown, Tamala P. – ProQuest LLC, 2012
Many studies have been conducted to address childhood behavior problems, but much remains unknown regarding the causes and factors that affect internalizing and externalizing problems in children. The purpose of the current research study was to examine the relationships between children's internalizing and externalizing behavior problems and (a)…
Descriptors: Educational Attainment, Behavior Problems, Children, Family Structure
Flanagan, Kristin Denton; McPhee, Cameron – National Center for Education Statistics, 2009
Using data from the final two rounds of the Early Childhood Longitudinal Study, Birth Cohort (ECLS-B), a longitudinal study begun in 2001, this First Look provides a snapshot of the demographic characteristics, reading and mathematics knowledge, fine motor skills, school characteristics, and before- and after-school care arrangements of the cohort…
Descriptors: Child Development, Kindergarten, Longitudinal Studies, Cohort Analysis