Study success in Higher Education is of primary importance in the European policy agenda. Yet, given the diverse educational landscape across countries and institutions, more coordinated action is needed to gain a more solid knowledge of the dropout phenomenon. This study aims to gain a better insight into students' dropout based on an integrated…

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…

In an effort to examine the variables contributing to academic persistence, 1,691 St. Petersburg (Florida) Junior College (SPJC) students (960 male and 731 female) were tested two years after their initial enrollment. Ten cognitive variables and 15 non-cognitive variables were examined to determine their relationship to persistence, defined as the…

This prognostic or identification instrument is the original 34-item rating scale used in the validity study reported in TM 000 189. Its purpose is to identify dropout-prone high school students, particularly Appalachian adolescents. It is designed to be self-rating for all students who can read at or above the fifth grade level and to be easily…

The purpose of this study was to construct a scale to discriminate between those students who are likely to drop out of school and those who are not. The results indicate that this must be only the first of many steps. (Author)

This study applied newly-developed methods of survival analysis with repeated events to a longitudinal data set in order to illustrate stopout hazards for college students. Survival analysis incorporates cases of students returning to college and not yet returning to college in a single analysis. This study applied a multiple-spell survival…

Clients who contact mental health centers but fail to follow through for treatment present a significant problem for therapists. Being able to predict which clients will not follow through with an initial therapy session could be very beneficial. At intake, subjects (N=27) who had requested service from a mental health center provided demographic…

The relationship between attrition and a student's personality type was studied, using the Myers-Briggs Type indicator (MBTI), which classifies people according to extraversion/introversion, sensing/intuition, thinking/feeling, and judgment/perception. In a second study, the extent to which a student's congruence with the personality types of…

The purpose of this study was to construct and validate a self-rating scale which can be easily administered and quickly scored for discriminating between those high school students who will dropout and those who will not. A 34-item scale was constructed for subjects with a fifth grade reading level. This scale was administered to 113 high school…

A study described the nontraditional adult students attending full-time, occupationally specific vocational training programs in Ohio. It also developed a dropout prediction model of enrolled students using sets of independent variables adapted from the Conceptual Model of Nontraditional Student Attrition and Persistence in Postsecondary…

A longitudinal study was conducted to determine the factors influencing college student persistence in remaining in school. Persistence was examined at two points: after the first year and 4 years after enrollment. The study was conducted at an urban university using the American College Testing's Entering Student Survey and Student Opinion…

A theoretical model of turnover in work organizations was applied to the college student dropout process at a major midwestern land grant university. The 854 freshmen women subjects completed a questionnaire that included measures for 14 independent variables: grades, practical value, development, routinization, instrumental communication,…

Stepwise discriminant analysis coupled with logit regression analysis of freshmen data from Brandon University (Manitoba) indicated that six tested variables drawn from research on university dropouts were useful in predicting attrition: student status, residence, financial sources, distance from home town, goal fulfillment, and satisfaction with…

Statistical analysis of a sample of the 1979 entry cohort to Lancaster University indicates that the likelihood of non-completion is determined by various characteristics including the student's academic ability, gender, marital status, work experience prior to university, school background, and location of home in relation to university.…

Secondary school students who drop out of school are put at great social and economic disadvantage. If potential dropouts can be identified early, prevention may be possible. To construct a prediction model which, through readily available school information, will aid in the identification of students likely to drop out, schools in the Austin,…