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Miriam G. Clark; Benjamin G. Gibbs – Educational Policy, 2025
Many U.S. schools utilize grade retention (repeating grades when not meeting academic benchmarks) to allow more time for students to learn grade level material. However, some research suggests retention may increase inequalities and not help students progress. We use national data (Future of Families and Child Wellbeing Study 2014-2017) and…
Descriptors: Student Promotion, At Risk Students, Grade Repetition, Metropolitan Areas
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Izabela Zych; David P. Farrington; Vicente J. Llorent; Denis Ribeaud; Manuel P. Eisner – International Journal of Bullying Prevention, 2021
This study shows longitudinal predictors of involvement in different bullying roles, including mental health, individual, family, peer and school predictors. The analyses were based on a longitudinal prospective study with 916 students followed up from ages 7 to 17 with 7 waves of data. Participants were selected through random sampling and were…
Descriptors: Bullying, Adolescents, Predictor Variables, Longitudinal Studies
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Erickson, Jacob H.; Pearson, Jennifer – Education and Urban Society, 2022
Students of color are more apt to face exclusionary discipline in school, such as suspension or expulsion, than their white counterparts, and once suspended students may be more likely to drop out of school altogether. Utilizing the Education Longitudinal Study (ELS), we assess the separate and combined effects of various student level influences…
Descriptors: Race, Sex, Suspension, High School Students
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Goldhaber, Dan; Koedel, Cory; Özek, Umut; Parsons, Eric – AERA Open, 2022
We use administrative data from three states to document the relationships between geographic mobility and student outcomes during K-12 schooling. We focus specifically on nonstructural mobility events--which we define as school changes that do not occur as the result of normal transitions between schools--and on longitudinal measures that capture…
Descriptors: Longitudinal Studies, Student Mobility, Identification, At Risk Students
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Lau, Marianne A.; Temcheff, Caroline E.; Poirier, Martine; Bégin, Vincent; Commisso, Melissa; Déry, Michèle – Psychology in the Schools, 2021
School dropout can be an ongoing process of academic failure and disengagement starting as early as elementary school. Given the importance of early identification of risk factors, the present study examines (a) whether early conduct problems and depressive symptoms predict a higher risk of school dropout, (b) whether depressive symptoms moderate…
Descriptors: Dropout Characteristics, Dropout Prevention, Behavior Problems, Children
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Ethan R. Van Norman; Emily R. Forcht – Journal of Education for Students Placed at Risk, 2024
This study evaluated the forecasting accuracy of trend estimation methods applied to time-series data from computer adaptive tests (CATs). Data were collected roughly once a month over the course of a school year. We evaluated the forecasting accuracy of two regression-based growth estimation methods (ordinary least squares and Theil-Sen). The…
Descriptors: Data Collection, Predictive Measurement, Predictive Validity, Predictor Variables
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Gottfried, Michael A. – Elementary School Journal, 2017
Within schooling policy and practice, truancy awareness and prevention programs expend much effort on reducing fall absences under the assumption that stopping this behavior early in the year can reduce negative outcomes later on in the year. Little research has focused on whether early absences in the year correlate with later outcomes. No study…
Descriptors: Truancy, Elementary School Students, Early Intervention, Longitudinal Studies
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Brown, Robert S.; Gallagher-Mackay, Kelly; Parekh, Gillian – Education Policy Analysis Archives, 2020
While there is a widespread consensus that students' pathways towards postsecondary education are influenced early in life, there is little research on the elementary school factors that shape them. Identifying educational 'risk factors' directs attention to barriers that may warrant scrutiny or action under human rights legislation. New findings…
Descriptors: Postsecondary Education, At Risk Students, Special Education, Suspension
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Samuel, Robin; Burger, Kaspar – Journal of Educational Psychology, 2020
Prior studies have noted several risk and protective factors for school dropout; however, only a few have examined longer-term vulnerabilities alongside temporary risk and protective factors. Consequently, we focused on the role that both stable and time-varying psychosocial risk and protective factors play in dropout intentions and actual…
Descriptors: Self Efficacy, Social Support Groups, At Risk Students, Intention
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Peng, Peng; Fuchs, Douglas; Fuchs, Lynn S.; Elleman, Amy M.; Kearns, Devin M.; Gilbert, Jennifer K.; Compton, Donald L.; Cho, Eunsoo; Patton, Samuel – Journal of Learning Disabilities, 2019
This study explored the developmental trajectories and predictors of word reading and reading comprehension among young at-risk readers. In fall of first grade, 185 students identified as at-risk for reading difficulties were assessed on measures of domain-specific skills (phonological awareness, letter knowledge, and vocabulary), domain-general…
Descriptors: Reading Comprehension, Reading Difficulties, At Risk Students, Predictor Variables
Holzman, Brian; Duffy, Horace – Houston Education Research Consortium, 2020
Part II of the Houston Longitudinal Study on the Transition to College and Work (HLS) examined potential indicators of college enrollment school and district staff might use to identify and support students at risk of not attending college. The study used administrative data from the Houston Independent School District (HISD) and tracked two…
Descriptors: Enrollment, At Risk Students, Urban Schools, Predictor Variables
Holzman, Brian; Duffy, Horace – Houston Education Research Consortium, 2020
This report examined three potential indicators of college enrollment school and district staff might use to identify and support students at risk of not attending college: (1) Chicago: Designed to predict high school graduation; based on earning six course credits--the minimum to advance to the next grade in HISD--and having at most one semester…
Descriptors: Enrollment, At Risk Students, Urban Schools, Predictor Variables
Holzman, Brian; Duffy, Horace – Houston Education Research Consortium, 2020
These are the appendices for "Transitioning to College and Work. Part 2: A Study of Potential Enrollment Indicators," which examined potential indicators of college enrollment school and district staff might use to identify and support students at risk of not attending college. The study used administrative data from the Houston…
Descriptors: Enrollment, At Risk Students, Urban Schools, Predictor Variables
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Zakszeski, Brittany; Hojnoski, Robin L.; Dever, Bridget V.; DuPaul, George J.; McClelland, Megan M. – School Psychology Review, 2020
Self-regulation is a critical component of school readiness and success. Practices for supporting self-regulation may be advanced by a better understanding of factors characterizing children at risk for challenges and contextual mechanisms associated with desirable developmental trajectories. The current study leverages a large national data set…
Descriptors: Self Management, Student Characteristics, Young Children, Kindergarten
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Patte, Karen A.; Qian, Wei; Leatherdale, Scott T. – Journal of School Health, 2017
Background: We tested the effect of initiating marijuana and alcohol use at varying frequencies on academic indices. Methods: In a sample of 26,475 grade 9-12 students with at least 2 years of linked longitudinal data from year 1 (Y1: 2012-2013), year 2 (Y2: 2013-2014), and year 3 (Y3: 2014-2015) of the COMPASS study, separate multinomial…
Descriptors: Marijuana, Alcohol Abuse, High School Students, Predictor Variables
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