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Matthew C. Makel; Scott J. Peters; Lindsay Ellis Lee; Tamra Stambaugh; Matthew T. McBee; D. Betsy McCoach; Kiana R. Johnson – Gifted Child Today, 2024
Finding all the "gifted" students who would benefit from a gifted and talented service is a perpetual concern. In this article, we focus on how to effectively implement multiple criteria in identification. First, we provide some broad background before introducing three different ways to combine multiple data points (AND, OR, and MEAN)…
Descriptors: Academically Gifted, Talent Identification, Gifted Education, Evaluation Criteria
Scott J. Peters; Angela Johnson – AERA Open, 2024
Prior research documented disproportional representation across racial, ethnic, and socioeconomic lines within the population of students identified as gifted and talented (GT). Less research has focused on what predicts improved representation for English learners (ELs) or students with disabilities (SwDs), or how state GT policies facilitate…
Descriptors: English Language Learners, Students with Disabilities, Gifted Education, Disproportionate Representation
Scott J. Peters; Meredith Langi; Megan Kuhfeld; Karyn Lewis – Journal for the Education of the Gifted, 2025
The COVID-19 pandemic resulted in substantial unfinished learning for U.S. students, but to differing degrees for various subgroups. Students of color, from low-income families, or who attended high-poverty schools experienced greater unfinished learning. In this study, we examined the degree of unfinished learning for students who went into the…
Descriptors: Achievement Gains, COVID-19, Pandemics, Student Development
Scott J. Peters; Angela Johnson; Matthew C. Makel; James S. Carter III – Gifted Child Quarterly, 2024
Students who are Black or Hispanic have long been disproportionately represented in K-12 gifted and talented services. However, there are schools that have diverged from this trend by identifying atypically high numbers of Black and Hispanic students. In this conceptual replication of Peters and Johnson, we present predictors of whether a school…
Descriptors: Equal Education, Gifted Education, Talent Identification, African American Students
Dante D. Dixson; Scott J. Peters; Jonathan A. Plucker; Carolyn M. Callahan – Annenberg Institute for School Reform at Brown University, 2025
The current study leveraged comprehensive data from a large school district to better understand the degree to which disproportional representation in gifted education can be explained by mean assessment score differences across racial and socioeconomic groups. The findings indicate that after controlling for nonverbal ability, cognitive ability,…
Descriptors: Elementary Secondary Education, Gifted, Gifted Education, Academically Gifted
Scott J. Peters; Meredith Langi; Megan Kuhfeld; Karyn Lewis – Annenberg Institute for School Reform at Brown University, 2023
The COVID-19 pandemic resulted in substantial unfinished learning for U.S. students, but to differing degrees for various subgroups. For example, students of color, from low-income families, or who attended high-poverty schools experienced greater unfinished learning. In this study we examined the degree of unfinished learning for students who…
Descriptors: Achievement Tests, Achievement Gains, COVID-19, Pandemics
Scott J. Peters; James S. Carter III – Annenberg Institute for School Reform at Brown University, 2021
A wide research base has documented the unequal access to and enrollment in K-12 gifted and talented services and other forms of advanced learning opportunities. This study extends that knowledge base by integrating multiple population-level datasets to better understand correlates of access to and enrollment in gifted and talented services,…
Descriptors: Predictor Variables, Access to Education, Advanced Courses, Algebra