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Morgan, Paul L.; Hu, Eric Hengyu; Farkas, George; Hillemeier, Marianne M.; Oh, Yoonkyung; Gloski, Cecelia A. – Gifted Child Quarterly, 2023
We analyzed a population-based cohort (N = 10,922) to investigate the onset and stability of racial and ethnic disparities in advanced (i.e., above the 90th percentile) science and mathematics achievement during elementary school as well as the antecedent, opportunity, and propensity factors that explained these disparities. About 13% to 16% of…
Descriptors: Academically Gifted, Elementary School Students, Disproportionate Representation, Racial Differences
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Mattison, Richard E.; Woods, Adrienne D.; Morgan, Paul L.; Farkas, George; Hillemeier, Marianne M. – Journal of Learning Disabilities, 2023
We examined to what extent subgroups of students identified with learning disabilities (LDs; N = 630) in the Early Childhood Longitudinal Study, Kindergarten Class of 1998 to 1999 (ECLS-K): 1998 national longitudinal study displayed heterogeneity in longitudinal profiles of reading and mathematics achievement from first to eighth grades.…
Descriptors: Students with Disabilities, Learning Disabilities, Reading Achievement, Mathematics Achievement
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Morgan, Paul L.; Farkas, George; Hillemeier, Marianne M.; Maczuga, Steve – Journal of Learning Disabilities, 2016
We analyzed two nationally representative, longitudinal data sets of U.S. children to identify risk factors for persistent mathematics difficulties (PMD). Results indicated that children from low socioeconomic households are at elevated risk of PMD at 48 and 60 months of age, as are children with cognitive delays, identified developmental delays…
Descriptors: Learning Problems, Learning Disabilities, At Risk Students, Mathematics Instruction
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Morgan, Paul L.; Farkas, George; Hillemeier, Marianne M.; Hammer, Carol Scheffner; Maczuga, Steve – Child Development, 2015
Data were analyzed from a population-based, longitudinal sample of 8,650 U.S. children to (a) identify factors associated with or predictive of oral vocabulary size at 24 months of age and (b) evaluate whether oral vocabulary size is uniquely predictive of academic and behavioral functioning at kindergarten entry. Children from higher…
Descriptors: Toddlers, Vocabulary, Oral Language, Predictor Variables
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Morgan, Paul L.; Hammer, Carol Scheffner; Farkas, Geroge; Hillemeier, Marianne M.; Maczuga, Steve; Cook, Michael; Morano, Stephanie – Grantee Submission, 2016
Purpose: We sought to identify factors predictive of or associated with receipt of speech/language services during early childhood. We did so by analyzing data from the Early Childhood Longitudinal Study-Birth Cohort (ECLS-B; Andreassen & Fletcher, 2005), a nationally representative dataset maintained by the U.S. Department of Education. We…
Descriptors: Young Children, Speech Language Pathology, Intervention, Delayed Speech
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Morgan, Paul L.; Farkas, George; Hillemeier, Marianne M.; Maczuga, Steve – Educational Researcher, 2012
We investigated whether and to what extent children who are racial-ethnic minorities are disproportionately represented in early intervention and/or early childhood special education (EI/ECSE). We did so by analyzing a large sample of 48-month-olds (N = 7,950) participating in the Early Childhood Longitudinal Study-Birth Cohort (ECLS-B), a…
Descriptors: Special Education, Minority Group Children, Family (Sociological Unit), Receptive Language
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Morgan, Paul L.; Woods, Adrienne D.; Wang, Yangyang; Hillemeier, Marianne M.; Farkas, George; Mitchell, Cynthia – Exceptional Children, 2020
Whether students of color are more or less likely to be identified as having disabilities than similarly situated students who are White in U.S. states with histories of de jure and de facto racial segregation is currently unknown. Unadjusted analyses of large samples of students attending elementary and middle schools in the U.S. South yielded…
Descriptors: Racial Segregation, Geographic Regions, Special Education, Minority Group Students
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Farkas, George; Morgan, Paul L.; Hillemeier, Marianne M.; Mitchell, Cynthia; Woods, Adrienne D. – Exceptional Children, 2020
To examine whether special education racial risk ratios reported by U.S. school districts are explained by district-level confounds, particularly, racial achievement gaps, we analyzed merged data (N = 1,952 districts for Black-White comparisons; N = 2,571 districts for Hispanic-White comparisons) from the U.S. Department of Education's Office of…
Descriptors: School Districts, Academic Achievement, Achievement Gap, Racial Differences
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Morgan, Paul L.; Farkas, George; Hillemeier, Marianne M.; Maczuga, Steve – Educational Researcher, 2016
We examined the age of onset, over-time dynamics, and mechanisms underlying science achievement gaps in U.S. elementary and middle schools. To do so, we estimated multilevel growth models that included as predictors children's own general knowledge, reading and mathematics achievement, behavioral self-regulation, sociodemographics, other child-…
Descriptors: Science Instruction, Science Achievement, Achievement Gap, Regression (Statistics)
Morgan, Paul L.; Farkas, George; Hillemeier, Marianne M.; Maczuga, Steve – Grantee Submission, 2016
We examined the age of onset, over-time dynamics, and mechanisms underlying science achievement gaps in U.S. elementary and middle schools. To do so, we estimated multilevel growth models that included as predictors children's own general knowledge, reading and mathematics achievement, behavioral self-regulation, sociodemographics, other child-…
Descriptors: Science Instruction, Science Achievement, Achievement Gap, Regression (Statistics)
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Morgan, Paul L.; Farkas, George; Hillemeier, Marianne M.; Mattison, Richard; Maczuga, Steve; Li, Hui; Cook, Michael – Educational Researcher, 2015
We investigated whether minority children attending U.S. elementary and middle schools are disproportionately represented in special education. We did so using hazard modeling of multiyear longitudinal data and extensive covariate adjustment for potential child-, family-, and state-level confounds. Minority children were consistently less likely…
Descriptors: Minority Group Students, Disproportionate Representation, Special Education, Elementary School Students