Public awareness of the severity of the high school completion problem in terms of its educational, social, psychological, and economic impacts has grown in recent years. Using ex post facto data, this non-experimental, correlational study was designed to determine whether there are differences in academic performance and school attendance between…

Completion rates for massive open online classes (MOOCs) are notoriously low, but learner intent is an important factor. By studying students who drop out despite their intent to complete the MOOC, it may be possible to develop interventions to improve retention and learning outcomes. Previous research into predicting MOOC completion has focused…

Despite the existence of counseling dropout research, there are limited predictive data for counseling in training clinics. Potential predictor variables were investigated in this archival study of 380 client files in a university counseling training clinic. Multinomial logistic regression, predictive discriminant analysis, and classification and…

The purpose of the study was to identify factors that affect students' persistence in completion of the GED. Exploration of characteristics of participants that do/do not persist and obtain their GED assists the high school dropout, potential GED recipient, GED program staff, and society as a whole. More information was needed in order to…

This study compared adolescents on a continuum of risk of school dropout: adolescents in the mainstream program (low risk); in an at-risk program (medium risk); and in an alternative evening program for dropouts (high risk). The researcher wanted to determine what factors predict school dropout, with particular attention given to family and social…

Purpose of this study was to discriminate among college persisters, withdrawals, and academic dismissals through using measures of scholastic aptitude and personality. (Authors)

The Mahalanobis distance model was compared with the linear discriminant function model and found to provide very similar results, even when a number of the variables were binary. A group of college freshmen were categorized into two groups: 116 "leavers," students who did not return for the second year, and 269 "returners."…

Multiple discriminant analysis is an effective research tool to approach the problem of student attrition. Using this method, the small, liberal arts college can more accurately identify students who are likely to persist. Academic achievement and nonacademic variables are coupled to enhance the power of discriminant analysis. (RC)

The question of how to build a student body from a large applicant pool was addressed in a 1980 study of students at the University of Kansas School of Architecture and Urban Design from 1969-78. The results of the selection process are presented. (MLW)

An informal study was conducted of the courses selected by ninth grade students who later dropped out of high school. Longitudinal data were available for high school students in the Austin (Texas) Independent School District, from 1978-79 to 1982-83. The courses selected by high-risk students in ninth grade, including extracurricular activities…

This study of community college students investigated predictors of student dropout in distance education courses. Considered locus of control, gender, number of distance education courses completed, age, financial assistance, and number of hours employed, and used correlation and discriminant analysis to show locus of control and financial aid…

This study found that a linear discriminant function was able, with 73 percent accuracy, to distinguish between learning-disabled dropouts (n=213) and learning-disabled graduates (n=92). The discriminant function was composed of six variables--student ethnicity, reading ability, family intactness, family socioeconomic status, school transfers, and…

Reviews a study of 117 students at the University of Saskatchewan which examined the relationship between high school computer experience and university achievement in introductory computer science. The pretests used are described, findings are analyzed, and student withdrawal patterns are discussed. (Author/LRW)