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Peters, Scott J.; Carter, James A. – Gifted Child Quarterly, 2023
Students in any grade level vary widely in their mathematics achievement, with the typical classroom including four to seven grade levels of mathematics proficiency. Due to this large range of mathematics learning needs, some schools offer certain courses in earlier grades than is typical. In this study, we analyzed multiple, large, national…
Descriptors: Acceleration (Education), Grade 8, Algebra, Geometry
Hodges, Jaret; Tay, Juliana; Maeda, Yukiko; Gentry, Marcia – Gifted Child Quarterly, 2018
Researchers consider the underrepresentation of Black, Hispanic, and Native American students is largely due to the use of traditional methods of identification (i.e., IQ and standardized achievement tests). To address this concern, researchers created novel nontraditional identification methods (e.g., nonverbal tests, student portfolios,…
Descriptors: Meta Analysis, Academically Gifted, Talent Identification, Disproportionate Representation
Olszewski-Kubilius, Paula; Steenbergen-Hu, Saiying; Thomson, Dana; Rosen, Rhoda – Gifted Child Quarterly, 2017
This longitudinal study examined the outcomes of Project Excite on reducing minority students' achievement gaps in STEM over 14 years. Project Excite was designed to provide intensive supplemental enrichment and accelerated programming for high-potential, underrepresented minority students from third through eighth grades to better prepare them…
Descriptors: Achievement Gap, STEM Education, Longitudinal Studies, Minority Group Students
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McBee, Matthew – Gifted Child Quarterly, 2010
This study focused on the analysis of a large-scale data set (N = 326,352) collected by the Georgia Department of Education using multilevel path analysis to model the probability that a student would be identified for participation in a gifted program. The model examined individual- and school-level factors that influence the probability that an…
Descriptors: Academically Gifted, Academic Achievement, Path Analysis, Probability