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2008 - Can Gaps in the Quality of Early Environments and Noncognitive Skills Help Explain Persisting Black-White Achievement Gaps?

Attribution: Grissmer, David, & Eiseman, Elizabeth
Researchers: David GrissmerElizabeth Eiseman
University Affiliation: University of Virginia
Email: grissmer@virginia.edu
Research Question:
Examination of whether or not early childhood environments and cognitive development/achievement skills influence the Black-White achievement gaps.
Published: 1
Journal Name or Institutional Affiliation: Russel Sage Foundation
Journal Entry: Steady Gains and Stalled Progress: Inequality and the Black-White Test Score Gap, Chapter 4, pp. 139-180
Year: 2008
Findings:
  • Very strong effect with about a 0.5 standard deviation difference between children one year apart, other things equal.
  • Children entering kindergarten early score about 0.2 standard deviation higher than those entering on time, and children entering late score about 0.14 lower.
  • Almost all family variables are strongly associated with achievement in the expected direction.
  • Family income, age of mother at birth, and number of siblings show strong effects.
  • Statistically significant and positive associations between achievement and a greater number of books in the home, high birth weight, more places lived since birth, a nondepressed mother, better child health, and absense of long-term money problems in the home.
  • Playing games as a family shows a positive impact but sports and ubilding activities show little effect.
  • More television watching is associated with lower reading readiness.
  • Fine motor skills and approaches to learning show an unusually strong significance.
  • The Black-White reading score gap at kindergarten entrance is about one-half that at fourth grade and the gap at eighth grade is approximately the same as at fourth grade.
  • Suggests that high quality preschool of pre-K will be necessary but not enough to close gaps
Keywords: Academic AchievementAchievement GapAfrican AmericanCognitive AbilityEnvironmentRegions: NationalMethodologies: QuantitativeResearch Designs: Secondary DataAnalysis Methods: Regression Sampling Frame:Kindergarten students
Sampling Types: RandomAnalysis Units: SchoolStudentData Types: Quantitative-Longitudinal
Data Description:
  • Used the Early Childhood Longitudinal Survey of Kindergarteners (ECLS-K)
  • Sample consists of data from approximately 19,173 students in the 1998-99 school year.
  • Used only first-time kindergarten entrants.
  • DV: Reading scores
  • IV: Family/parent/home/community characteristics, noncognitive characteristics
Theoretical Framework:
Relevance:
Archives: K-12 Integration, Desegregation, and Segregation Abstracts
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