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Callahan, Carolyn M.; Azano, Amy; Park, Sunhee; Brodersen, Annalissa V.; Caughey, Melanie; Dmitrieva, Svetlana – Gifted Child Quarterly, 2022
Analysis of assessment data from an initial pool of second-grade students (n = 4549) in low-income rural communities and a subgroup of students identified from that pool for gifted services (n = 524) provided evidence for the validity of a curricular-aligned process including universal screening and local norms for identifying rural students in…
Descriptors: Grade 2, Rural Schools, Low Income, Gifted
Brodersen, Annalissa V.; Hemmler, Vonna L.; Callahan, Carolyn M.; McCoach, D. Betsy – Gifted Education International, 2023
Gifted education policies vary across the United States. Previous studies have demonstrated a disconnect between these policies at state and district levels, but alignment of school-level practices with state and/or district policies is unknown. To further examine these relationships, we examined via qualitative document analysis state and…
Descriptors: Academically Gifted, Gifted Education, Educational Policy, Educational Practices
Callahan, Carolyn M.; Azano, Amy Price; Park, Sunhee; Brodersen, Annalissa V.; Caughey, Melanie; Bass, Erika – AERA Online Paper Repository, 2020
Educators in gifted education struggle to identify effective strategies for identifying gifted students from under-served populations who would benefit from gifted education services. Using data from a longitudinal study and drawing from an initial student sample in 12 low-income rural districts, we examined an alternative identification process…
Descriptors: Gifted, Talent Identification, Disadvantaged, Low Income
Gubbins, E. Jean; Siegle, Del; Ottone-Cross, Karen; McCoach, D. Betsy; Langley, Susan Dulong; Callahan, Carolyn M.; Brodersen, Annalissa V.; Caughey, Melanie – Gifted Child Quarterly, 2021
The importance of alignment between identification processes and program design is widely noted in gifted and talented education literature. We analyzed publicly available district gifted program plans (Grades 3-5) from two states to examine the extent to which district identification practices matched intervention strategies. Our team developed a…
Descriptors: Talent Identification, Academically Gifted, Gifted Education, Program Design
Hamilton, Rashea; McCoach, D. Betsy; Tutwiler, M. Shane; Siegle, Del; Gubbins, E. Jean; Callahan, Carolyn M.; Brodersen, Annalissa V.; Mun, Rachel U. – Gifted Child Quarterly, 2018
Although the relationships between family income and student identification for gifted programming are well documented, less is known about how school and district wealth are related to student identification. To examine the effects of institutional and individual poverty on student identification, we conducted a series of three-level regression…
Descriptors: Academically Gifted, Poverty, Talent Identification, Low Income Students
Hamilton, Rashea; McCoach, D. Betsy; Tutwiler, M. Shane; Siegle, Del; Gubbins, E. Jean; Callahan, Carolyn M.; Brodersen, Annalissa V.; Mun, Rachel U. – Grantee Submission, 2018
Although the relationships between family income and student identification for gifted programming are well documented, less is known about how school and district wealth are related to student identification. To examine the effects of institutional and individual poverty on student identification, we conducted a series of three-level regression…
Descriptors: Academically Gifted, Disadvantaged Schools, Elementary School Students, Elementary Schools
Azano, Amy Price; Callahan, Carolyn M.; Brodersen, Annalissa V.; Caughey, Melanie – Global Education Review, 2017
There are both achievement and opportunity gaps for low-income students when compared to their economically advantaged peers; and, for rural students, these gaps may be even more pronounced. In this manuscript we draw from our ongoing work in a five-year federally-funded, Jacob K. Javits grant focusing on promoting gifted education in rural…
Descriptors: Academically Gifted, Rural Schools, Talent Identification, Place Based Education