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Forrow, Lauren; Starling, Jennifer; Gill, Brian – Regional Educational Laboratory Mid-Atlantic, 2023
The Every Student Succeeds Act requires states to identify schools with low-performing student subgroups for Targeted Support and Improvement or Additional Targeted Support and Improvement. Random differences between students' true abilities and their test scores, also called measurement error, reduce the statistical reliability of the performance…
Descriptors: At Risk Students, Low Achievement, Error of Measurement, Measurement Techniques
Regional Educational Laboratory Mid-Atlantic, 2023
This Snapshot highlights key findings from a study that used Bayesian stabilization to improve the reliability (long-term stability) of subgroup proficiency measures that the Pennsylvania Department of Education (PDE) uses to identify schools for Targeted Support and Improvement (TSI) or Additional Targeted Support and Improvement (ATSI). The…
Descriptors: At Risk Students, Low Achievement, Error of Measurement, Measurement Techniques
Regional Educational Laboratory Mid-Atlantic, 2023
The "Stabilizing Subgroup Proficiency Results to Improve the Identification of Low-Performing Schools" study used Bayesian stabilization to improve the reliability (long-term stability) of subgroup proficiency measures that the Pennsylvania Department of Education (PDE) uses to identify schools for Targeted Support and Improvement (TSI)…
Descriptors: At Risk Students, Low Achievement, Error of Measurement, Measurement Techniques
Choi, Kilchan; Kim, Jinok – Journal of Educational and Behavioral Statistics, 2019
This article proposes a latent variable regression four-level hierarchical model (LVR-HM4) that uses a fully Bayesian approach. Using multisite multiple-cohort longitudinal data, for example, annual assessment scores over grades for students who are nested within cohorts within schools, the LVR-HM4 attempts to simultaneously model two types of…
Descriptors: Regression (Statistics), Hierarchical Linear Modeling, Longitudinal Studies, Cohort Analysis
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
Konstantopoulos, Spyros; Li, Wei; Miller, Shazia R.; van der Ploeg, Arie – Journal of Educational Research, 2017
The authors examined differential effects of interim assessments on minority and low socioeconomic status students' achievement in Grades K-6. They conducted a large-scale cluster randomized experiment in 2009-2010 to evaluate the impact of Indiana's policy initiative introducing interim assessments statewide. The authors used 2-level models to…
Descriptors: Achievement Gap, Race, Socioeconomic Status, Minority Group Students
Walsh, Mary; Raczek, Anastasia; Sibley, Erin; Lee-St. John, Terrence; An, Chen; Akbayin, Bercem; Dearing, Eric; Foley, Claire – Society for Research on Educational Effectiveness, 2015
While randomized experimental designs are the gold standard in education research concerned with causal inference, non-experimental designs are ubiquitous. For researchers who work with non-experimental data and are no less concerned for causal inference, the major problem is potential omitted variable bias. In this presentation, the authors…
Descriptors: Academic Achievement, Quasiexperimental Design, Intervention, Elementary School Students
Little, Catherine A.; Adelson, Jill L.; Kearney, Kelly L.; Cash, Kathleen; O'Brien, Rebecca – Gifted Child Quarterly, 2018
Students who come from low-income backgrounds tend to be underidentified and underserved in gifted education. Early interventions with learners of high potential from underserved groups, including exposure to challenging curriculum and summer opportunities, are important for nurturing these students' talents and preparing them for advanced…
Descriptors: Readiness, Summer Programs, Mathematics Achievement, Low Income Students
Biag, Manuelito; Castrechini, Sebastian – Journal of Education for Students Placed at Risk, 2016
Full-service community schools are designed to increase students, and families' access to comprehensive and coordinated supports, services, and programs such as medical care, food aid, and enrichment activities. Despite widespread support, the research base documenting the efficacy of community schools is still emerging. Analyzing longitudinal…
Descriptors: Community Schools, Integrated Services, Low Income Students, Hispanic American Students
Collins, James L.; Lee, Jaekyung; Fox, Jeffery D.; Madigan, Timothy P. – Reading Research Quarterly, 2017
This study examined the hypothesis that assisted writing during reading improves reading comprehension. The hypothesis was derived from sociocognitive and constructivist theory and research and implemented in the form of a curricular intervention called Writing Intensive Reading Comprehension after its main feature of bringing together reading…
Descriptors: Reading Writing Relationship, Reading Comprehension, Low Achievement, Urban Schools
Hodges, Jaret; McIntosh, Jason; Gentry, Marcia – Journal of Advanced Academics, 2017
High-potential students from low-income families are at an academic disadvantage compared with their more affluent peers. To address this issue, researchers have suggested novel approaches to mitigate gaps in student performance, including out-of-school enrichment programs. Longitudinal mixed effects modeling was used to analyze the growth of…
Descriptors: After School Programs, Enrichment Activities, Academic Achievement, High Achievement
Manfra, Louis; Squires, Christina; Dinehart, Laura H. B.; Bleiker, Charles; Hartman, Suzanne C.; Winsler, Adam – Journal of Educational Research, 2017
The present study was designed to explore the association between preschool academic skills and Grade 3 achievement among a sample of ethnically diverse children from low-income families. Data were collected from a sample of 1,442 low-income, ethnically diverse children in preschool and associated with Grade 3 achievement in reading and…
Descriptors: Preschool Children, Preschool Education, Writing (Composition), Writing Skills
Friedman-Krauss, Allison H.; Raver, C. Cybele – Developmental Psychology, 2015
Children growing up in poverty have a higher likelihood of exposure to multiple forms of adversity that jeopardize their chances of academic success. The current paper identifies school mobility, or changing schools, as 1 such poverty-related risk. Using a sample of low-income, predominantly ethnic-minority children (n = 381) in Chicago, this…
Descriptors: Student Mobility, Elementary School Students, At Risk Students, Low Achievement
Shields, Katherine A.; Walsh, Mary E.; Lee-St. John, Terrence J. – Journal of Catholic Education, 2016
Much of the achievement gap between rich and poor students can be attributed to out-of-school factors, yet few schools have a comprehensive, coordinated system for addressing students' nonacademic needs. Within a group of Catholic schools located in one city, this study examined academic achievement on the Stanford Achievement Test battery in…
Descriptors: Catholic Schools, Urban Schools, Academic Achievement, Achievement Gap