The objective of this paper is the design of a predictive model of students' desertion in Educational Institutions based on the Analytic Hierarchy Process (AHP). The proposed model is based on a weighted sum of individual probabilities of desertion associated with various factors (explanatory variables) by experts in the combined use of the AHP…

In this article, we empirically validate Tinto's Student Integration model, in particular, the predictions the model makes regarding both students' academic outcomes and their dropout decisions. In doing so, we analyze three decades' worth of student enrollments at an Australian university and present a novel methodological approach using graph…

The high level of attrition and low rate of certification in Massive Open Online Courses (MOOCs) has prompted a great deal of research. Prior researchers have focused on predicting dropout based upon behavioral features such as student confusion, clickstream patterns, and social interactions. However, few studies have focused on combining student…

This year's study is the 34th in a series of annual reports on trends in dropout and attrition rates in Texas public schools, with the initial attrition study released by the Intercultural Development Research Association (IDRA) in 1986. The 2018-19 study builds on a series of studies by IDRA that track the number and percent of students in Texas…

This year's study is the 35th in a series of annual reports on trends in dropout and attrition rates in Texas public schools. The 2019-20 study builds on a series of studies by the Intercultural Development Research Association (IDRA) that track the number and percent of students in Texas who are lost from public school enrollment prior to…

While policy-makers in Britain can justifiably lay claim to creating the term NEET to define young people who do not engage in formal learning, training or employment, the high number who fall into, and remain in, this category continues to challenge them. This, in part, is attributable to the extended use of the term NEET to capture all young…

Through the use of event-history techniques, we will show that a duration framework is adapted to the analysis of higher education attrition. Our dropout model allows for estimates to vary over time. While some factors exhibit constant effects, like high school characteristics, other effects do vary from the first year to the fourth. Men and women…

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…

This manuscript addresses learning communities (LCs) as a strategy to retain graduate students until program completion. Definitions of LCs and their early development are presented. The benefits of LCs to groups of students with common interests are discussed. In addition, reasons for early graduate student attrition are included. Common models…

This document presents a review and theoretical synthesis of recent research on dropouts in higher education. The first chapter deals with defining dropouts from college, and in considering the various meanings applied to that term, suggests some needed modifications in the definition. The second chapter reviews recent data on dropouts in order to…

Research Project at Utica College to identify potential college dropouts using the technique of Multiple Discriminant Analysis. (RY)

To analyze selected demographic and psychometric characteristics of dropouts and graduates from vocational training at a comprehensive rehabilitation center, nearly 600 dropouts and graduates of the Pennsylvania Rehabilitation Center were studied. Five variables were found to be useful in predicting dropouts: (1) preselected training goal upon…

Several traditional approaches to studying the student dropout are outlined. They include data collection on reasons given for dropping out and characteristics of dropouts, as well as follow-up study. The use of the National Center for Higher Education Management Systems (MCHEMS) Student Flow Model (SFM) is described to show how students could be…

Argues research investigating distance education drop-out problems hasn't been based on comprehensive theoretical models; suggests Spady, Tinto, and Boshier's theoretical models are relevant to such research, since they reflect importance of exploring aptitude-treatment interactions in investigating drop-out problems; and proposes that the…