Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 50 |
Since 2006 (last 20 years) | 99 |
Descriptor
At Risk Students | 99 |
Predictor Variables | 99 |
Statistical Analysis | 99 |
Regression (Statistics) | 30 |
Elementary School Students | 26 |
Correlation | 23 |
Gender Differences | 21 |
Longitudinal Studies | 21 |
Academic Achievement | 20 |
Scores | 20 |
Student Characteristics | 20 |
More ▼ |
Source
Author
Publication Type
Reports - Research | 74 |
Journal Articles | 73 |
Dissertations/Theses -… | 21 |
Reports - Descriptive | 2 |
Reports - Evaluative | 2 |
Information Analyses | 1 |
Education Level
Higher Education | 34 |
Elementary Education | 29 |
Postsecondary Education | 23 |
Early Childhood Education | 19 |
Secondary Education | 16 |
Primary Education | 15 |
Middle Schools | 14 |
Grade 3 | 13 |
Grade 1 | 12 |
High Schools | 12 |
Grade 2 | 10 |
More ▼ |
Audience
Location
California | 5 |
New York (New York) | 3 |
Pennsylvania | 3 |
United States | 3 |
Australia | 2 |
Florida | 2 |
North Carolina | 2 |
South Carolina | 2 |
Texas | 2 |
Wisconsin | 2 |
Alabama | 1 |
More ▼ |
Laws, Policies, & Programs
Indian Self Determination… | 1 |
No Child Left Behind Act 2001 | 1 |
Stewart B McKinney Homeless… | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Cris E. Haltom; Tate F. Halverson – Journal of American College Health, 2024
Objective: This study examined relationships between eating disorder risk (EDR), lifestyle variables (e.g., exposure to healthy eating media), and differences among male and female college students. Participants: College students (N = 323) completed survey questionnaires (Fall, 2016). Fifty-three participants retook the survey at a later time.…
Descriptors: Eating Disorders, Life Style, At Risk Students, Gender Differences
Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – AERA Open, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Identification, Two Year College Students, Community Colleges
Erbeli, Florina; He, Kai; Cheek, Connor; Rice, Marianne; Qian, Xiaoning – Scientific Studies of Reading, 2023
Purpose: Researchers have developed a constellation model of decodingrelated reading disabilities (RD) to improve the RD risk determination. The model's hallmark is its inclusion of various RD indicators to determine RD risk. Classification methods such as logistic regression (LR) might be one way to determine RD risk within the constellation…
Descriptors: At Risk Students, Reading Difficulties, Classification, Comparative Analysis
Regional Educational Laboratory Southeast, 2020
More than half of North Carolina's grade 3 students struggle with reading. The percentage of students scoring below proficient in reading at the end of grade 3 was 55 percent in 2017/18. That percentage has remained largely unchanged, at above 50 percent, since 2013/14, when North Carolina passed its K-3 Read to Achieve literacy act. Read to…
Descriptors: Elementary School Students, Identification, Reading Achievement, Reading Skills
Adelman, Melissa; Haimovich, Francisco; Ham, Andres; Vazquez, Emmanuel – Education Economics, 2018
School dropout is a growing concern across Latin America because of its negative social and economic consequences. Identifying who is likely to drop out, and therefore could be targeted for interventions, is a well-studied prediction problem in countries with strong administrative data. In this paper, we use new data in Guatemala and Honduras to…
Descriptors: Foreign Countries, Dropouts, At Risk Students, Identification
Wilner, Molly; Kerr, Bradley; Moreno, Megan – College Student Journal, 2018
Background: This study aimed to investigate the relationship between Facebook age presentation, Facebook alcohol displays, and alcohol related risk factors among college students. Methods: Students from two universities in the United States enrolled and accepted a researcher's Facebook friend request. Participant's Facebook profiles were evaluated…
Descriptors: Social Media, Drinking, Alcohol Abuse, Age
Bolland, Anneliese C.; Tomek, Sara E.; Besnoy, Kevin D.; Bolland, John M. – Exceptionality, 2018
Research abounds on adolescent poverty and on gifted education, but these fields are seldom considered together. This study explores trajectories of aggressive behavior (i.e., weapon carrying) of impoverished, gifted youth. Results indicate that gifted students engage in lower levels of weapon carrying than non-gifted students. Gifted and…
Descriptors: Academically Gifted, Gender Differences, Predictor Variables, At Risk Students
January, Stacy-Ann A.; Van Norman, Ethan R.; Christ, Theodore J.; Ardoin, Scott P.; Eckert, Tanya L.; White, Mary Jane – School Psychology Review, 2018
The present study examined the utility of two progress monitoring assessment schedules (bimonthly and monthly) as alternatives to monitoring once weekly with curriculum-based measurement in reading (CBM-R). General education students (N = 93) in Grades 2-4 who were at risk for reading difficulties but not yet receiving special education services…
Descriptors: Progress Monitoring, Reading Improvement, Reading Tests, Student Evaluation
van Breda, Adrian D. – Higher Education: The International Journal of Higher Education Research, 2018
Youth transitioning into university face numerous life challenges, particularly in South Africa with its high levels of poverty and inequality. This article, recognising the vulnerability of many students, sets out to identify the resilience processes that facilitate the resilient outcomes of life satisfaction and academic progress. Using a sample…
Descriptors: Foreign Countries, Resilience (Psychology), Transfer Students, At Risk Students
Cohen, Anat – Educational Technology Research and Development, 2017
Persistence in learning processes is perceived as a central value; therefore, dropouts from studies are a prime concern for educators. This study focuses on the quantitative analysis of data accumulated on 362 students in three academic course website log files in the disciplines of mathematics and statistics, in order to examine whether student…
Descriptors: Academic Persistence, Predictor Variables, Dropouts, At Risk Students
Landeros-Thomas, Barry Ryan – ProQuest LLC, 2017
American Indian students exhibit significant delays in academic skills and are at greater risk of school leaving or dropout than mainstream peers. A core component of these academic difficulties are persistent reading deficits across grades, but little research exists on the underlying foundation of these reading deficits. The purpose of this…
Descriptors: American Indian Students, Cognitive Processes, Reading Skills, Statistical Analysis
Dillard, Christina – ProQuest LLC, 2017
Many districts and schools are having difficulty implementing Multi-Tiered System of Supports (MTSS) in school settings. This quantitative study set out to examine the stage of MTSS implementation schools are at and identify factors from the implementation science framework that account for the different reported student outcomes related to MTSS…
Descriptors: Positive Behavior Supports, Program Implementation, Outcomes of Education, Principals
Lane, Robert; Miranda, Regina – Journal of American College Health, 2018
Objectives: Based on acculturative family distancing theory, we examined whether familial acculturative stress interacted with hopelessness to predict suicidal ideation differentially among emerging adult immigrant versus nonimmigrant college students. Participants: We recruited 152 generationally and racially/ethnically diverse college students…
Descriptors: Immigrants, College Students, Anxiety, Immigration
Mengo, Cecilia; Black, Beverly M. – Journal of College Student Retention: Research, Theory & Practice, 2016
Violence against university students has significant impact on their mental health. The impact of violence on students' academic performance has received little attention. The primary purpose of this study is to examine the impact of sexual and physical/verbal violence on the academic performance of college students. Data from 74 case files of…
Descriptors: Violence, Victims, Grade Point Average, Dropouts
Hickman, Gregory P.; Sabia, Magaret F.; Heinrich, Randy; Nelson, LaCoñia; Travis, Frances; Veri, Tracy – Journal of At-Risk Issues, 2017
The authors examined the predictive nature of attentional biases and initial grade point average of ninth graders dropping out of high school. Attentional biases are cognitive shifts in focus that are linked in both time and context toward stimuli perceived by an individual as threatening. Data were collected from 68 high school freshmen (45.6%…
Descriptors: Attention, Bias, High School Freshmen, Predictor Variables