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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
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Pittendrigh, Adele; Borkowski, John; Swinford, Steven; Plumb, Carolyn – Journal of General Education, 2016
This study explores the effects of an academic seminar on the persistence of first-year college students, including effects on students most at risk of dropping out. A secondary interest was demonstrating the utility of using classification and regression tree analysis to identify relevant predictors of student persistence. The results of the…
Descriptors: First Year Seminars, Academic Persistence, At Risk Students, Classification
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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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Wood, Laura; Kiperman, Sarah; Esch, Rachel C.; Leroux, Audrey J.; Truscott, Stephen D. – School Psychology Quarterly, 2017
High school dropout has been associated with negative outcomes, including increased rates of unemployment, incarceration, and mortality. Dropout rates vary significantly depending on individual and environmental factors. The purpose of our study was to use an ecological perspective to concurrently explore student- and school-level predictors…
Descriptors: High School Students, Predictor Variables, Dropouts, Potential Dropouts
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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
Carroll, Shannon Rae – ProQuest LLC, 2010
The high school dropout rate in a southern U.S. state is 22.1% and students who fall behind in reading and math in middle school are more likely to fail 9th grade. This specific failure is one of the strongest predictors that a student will ultimately drop out of school. The research questions of this study addressed the relationship between math…
Descriptors: Mathematics Achievement, Statistical Analysis, Grade 7, Mathematics Anxiety
Frankel, Steven M. – 1973
This document summarizes the significant findings, overall methodology, and policy recommendations for the Assessment of School Supervised Work Education Programs. It consists of material contained in the Data Analysis Report together with a description of the analysis model developed for each respondent group. Individual predictor items were…
Descriptors: Cooperative Education, Dropout Prevention, Models, On the Job Training
Vogt, Dave – 1977
The objective of this study was to devise a methodology for predicting the return or nonreturn of a student for the spring semester, upon his completion of the fall term. Nineteen variables from existing student files were examined by several multivariate analyses to determine their ability to help in such a prediction. The random sample was of…
Descriptors: College Students, Dropout Characteristics, Dropout Prevention, Higher Education