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No Child Left Behind Act 20011
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Showing 1 to 15 of 21 results Save | Export
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Marshall, David T. – Preventing School Failure, 2022
Using administrative data from an urban school district, two series of predictive models were tested for their ability to project a student's high school graduation status. The models included student grades, attendance, behavior, demographic predictors, and school-level variables. Eighth and ninth-grade variables were tested for two graduation…
Descriptors: High School Students, Grades (Scholastic), Grade 8, Grade 9
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Knox, Jerica; Gibson, Stephen; Gönültas, Seçil; Mulvey, Kelly Lynn – School Psychology Review, 2021
As researchers and practitioners begin to take a bystander approach toward preventing bullying, which involves a power imbalance between two students, it is important to acknowledge that predictors of bystander intervention may look different in various groups of students. Though school connectedness has been suggested as a predictor, previous…
Descriptors: Sense of Community, Intervention, Social Isolation, African American Students
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Baker, Ryan S.; Berning, Andrew W.; Gowda, Sujith M.; Zhang, Shizhu; Hawn, Aaron – Journal of Education for Students Placed at Risk, 2020
Dropout remains a persistent challenge within high school education. In this paper, we present a case study on automatically detecting whether a student is at-risk of dropout within a diverse school district in Texas. We predict whether a student will drop out in a future school year from data on students' discipline, attendance, course-taking,…
Descriptors: At Risk Students, High School Students, Dropout Prevention, Student Diversity
Slaughter, Austin; Neild, Ruth Curran; Crofton, Molly – Philadelphia Education Research Consortium, 2018
Ninth grade is a critical juncture for students--and can be a jarring transition. Even students a strong track record in the middle grades can experience academic difficulty, and those who enter high school with poor course grades, weak attendance, or behavior problems are especially at risk. An early misstep can have lasting implications:…
Descriptors: High School Students, Grade 9, At Risk Students, Potential Dropouts
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Stuit, David; O'Cummings, Mindee; Norbury, Heather; Heppen, Jessica; Dhillon, Sonica; Lindsay, Jim; Zhu, Bo – Regional Educational Laboratory Midwest, 2016
In partnership with the Midwest Dropout Prevention Research Alliance the study team used student-level data and a five-step process to identify the most accurate indicators of students' failure to graduate from high school on time. Student-level data came from attendance records, transcripts, and discipline records of grade 8 and 9 students in…
Descriptors: High School Students, Academic Failure, Predictor Variables, Graduation
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Slaatten, Hilde; Hetland, Jørn; Anderssen, Norman – Psychology in the Schools, 2015
The aim of this study was to examine whether attitudes about gay-related name-calling, social norms concerning gay-related name-calling among co-students, teacher intervention, and school-related support would predict whether secondary school pupils had called another pupil a gay-related name during the last month. A total of 921 ninth-grade…
Descriptors: Foreign Countries, Homosexuality, Social Bias, Antisocial Behavior
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Stuit, David; Lindsay, Jim; Loney, Emily – Regional Educational Laboratory Midwest, 2016
This study analyzed data on students in three Ohio school districts who had completed grades 8 and 9 to determine which data elements were the most accurate indicators of students' failure to graduate from high school on time. The most accurate indicators varied by district and grade level, which underscores the importance of having school systems…
Descriptors: Dropout Prevention, Academic Failure, Graduation, Accuracy
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Weybright, Elizabeth H.; Caldwell, Linda L.; Xie, Hui; Wegner, Lisa; Smith, Edward A. – South African Journal of Education, 2017
Education is one of the strongest predictors of health worldwide. In South Africa, school dropout is a crisis where by Grade 12, only 52% of the age appropriate population remain enrolled. Survival analysis was used to identify the risk of dropping out of secondary school for male and female adolescents and examine the influence of substance use…
Descriptors: Foreign Countries, Predictor Variables, Predictive Measurement, Secondary School Students
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Reyes, H. Luz McNaughton; Foshee, Vangie A. – Journal of Youth and Adolescence, 2013
Investigators have identified a number of factors that increase risk for physical and psychological dating abuse perpetration during adolescence, but as yet little is known about the etiology of sexual dating aggression during this critical developmental period. This is an important gap in the literature given that research suggests that patterns…
Descriptors: Prevention, Rape, Risk, Early Adolescents
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Blount, Taheera – Journal of School Counseling, 2012
School counselors are charged to identify potential dropouts and they work closely with students to help them stay in school or find alternative means of completing their education. Ninth grade students transitioning to high school experience insurmountable challenges as they shift from middle school to high school. Students who lack the academic…
Descriptors: Dropouts, Risk, Intervention, School Counselors
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McKee, M. Todd; Caldarella, Paul – Education, 2016
Dropping out of high school has negative results and implications for individuals and society. The likelihood of dropping out is attributed to both social and academic risk factors. Poor high school attendance, low course completion, and low grade-point-average (GPA) have been identified as three leading indicators that students are at risk for…
Descriptors: Middle School Students, High School Students, Academic Achievement, Predictor Variables
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Yavuzer, Yasemin; Karatas, Zeynep; Civilidag, Aydin; Gundogdu, Rezzan – Eurasian Journal of Educational Research, 2014
Problem Statement: Aggression is defined as any kind of behavior intended to hurt others. Aggression generally arises due to the interaction between individual (e.g., social and emotional difficulties, low self-esteem, peer rejection, academic failure) and environmental (e.g., poverty, lack of family supervision, limited social support, conflicts…
Descriptors: Role, Peer Influence, Aggression, Self Esteem
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Cratty, Dorothyjean – Economics of Education Review, 2012
Nineteen percent of 1997-98 North Carolina 3rd graders were observed to drop out of high school. A series of logits predict probabilities of dropping out on determinants such as math and reading test scores, absenteeism, suspension, and retention, at the following grade levels: 3rd, 5th, 8th, and 9th. The same cohort and variables are used to…
Descriptors: At Risk Students, Dropouts, High School Students, Probability
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Young, Jami F.; Makover, Heather B.; Cohen, Joseph R.; Mufson, Laura; Gallop, Robert J.; Benas, Jessica S. – Journal of Clinical Child and Adolescent Psychology, 2012
Given the frequent comorbidity of anxiety and depression, it is important to study the effects of depression interventions on anxiety and the impact of comorbid anxiety on depression outcomes. This article reports on pooled anxiety and depression data from two randomized trials of Interpersonal Psychotherapy-Adolescent Skills Training (IPT-AST), a…
Descriptors: Prevention, Intervention, Adolescents, Anxiety
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Paiva, Andrea L.; Amoyal, Nicole R.; Johnson, Janet L.; Prochaska, James O. – Journal of Early Adolescence, 2014
Using cluster analysis, 717 students who reported that they had never smoked and the nondrinking 292 students who reported that they had never drank alcohol were classified into four profile groups based on their Pros and Cons of not using and temptation to use. Profiles were labeled Most Protected, Least Positive, Most Negative, and Most Tempted.…
Descriptors: Early Adolescents, Substance Abuse, Smoking, Drinking
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