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Hamilton, Rashea; Long, Daniel; McCoach, D. Betsy; Hemmler, Vonna; Siegle, Del; Newton, Sarah D.; Gubbins, E. Jean; Callahan, Carolyn M. – Journal for the Education of the Gifted, 2020
English learners (ELs) are the fastest growing population of students in the United States and currently represent nearly 10% of public school enrollment; however, they also constitute less than 3% of gifted program enrollment in these schools. Although an increasing number of studies explore this underrepresentation, research that specifically…
Descriptors: English Language Learners, Language Proficiency, Academically Gifted, Talent Identification
Siegle, Del; Gubbins, E. Jean; O'Rourke, Patricia; Langley, Susan Dulong; Mun, Rachel U.; Luria, Sarah R.; Little, Catherine A.; McCoach, D. Betsy; Knupp, Tawnya; Callahan, Carolyn M.; Plucker, Jonathan A. – Journal for the Education of the Gifted, 2016
Gifted students' learning gains result from complex, advanced, and meaningful content provided by a knowledgeable teacher through high-quality curriculum and instruction at an appropriate pace with scaffolding and feedback. These elements exert influence that increases with dosage and within structures that facilitate student engagement in…
Descriptors: Disadvantaged, Disproportionate Representation, Minority Groups, Social Bias
McCoach, D. Betsy – Journal for the Education of the Gifted, 2003
Structural equation modeling (SEM) refers to a family of statistical techniques that explores the relationships among a set of variables. Structural equation modeling provides an extremely versatile method to model very specific hypotheses involving systems of variables, both measured and unmeasured. Researchers can use SEM to study patterns of…
Descriptors: Gifted, Structural Equation Models, Factor Analysis, Enrichment