Using large-scale longitudinal data, this study sought to examine factors influencing two important student development outcomes in students with disabilities attending 4-year colleges and universities. Informed by Astin's Input-Environment-Outcome model and the interactional model of disability, this study investigated the effect of student…

Current higher education is characterized by a proliferation of distance education programs and by an increasing inclusion of nontraditional students. In this study we investigated whether and to what extent nontraditional students are particularly at risk for attrition (vs. graduating) from distance education programs. We conducted a secondary…

A multiple regression approach was applied to data to measure the following by geographic municipality: the ratio of high school graduates enrolled in a given institution to that institution's entering freshman enrollment, eligible population, academic ability, educational attainment, income level, wage rate, unemployment rate, cost of attendance,…

The statistical and institutional influences on the prediction of first-year college grades were examined using data from College Board validity studies and the College Handbook. The criterion was the size of the multiple correlation between academic predictors and first-year college grades. (Author/MLW)

Data from the National Research Council's Doctorate Records File extract prepared for UCLA indicated that source of support was the most important variable in predicting time to doctorate. Following source of support were postdoctoral plans, number of dependents, sex, and field of study. (Author/MLW)

Multiple regression analysis was used to establish a scale, measuring college student involvement in campus activities, work experience, technical background, references, and goals. This scale was tested to see whether it improved the prediction of success in graduate school. (Author/MLW)

To investigate how students' characteristics and experiences affect satisfaction, this study uses regression and decision tree analysis with the CHAID algorithm to analyze student-opinion data. A data mining approach identifies the specific aspects of students' university experience that most influence three measures of general satisfaction. The…

In a study of college student retention and progression, significant differences were found between black and white students in terms of their attrition rates, overall progression rates, and tendency to follow the prescribed progression pattern. When other student and institutional characteristics are statistically controlled, racial differences…

Students in a large lecture course were asked to complete the Notetaking Perceptions Survey, an instrument that assesses students' perceptions of the worth or value of notetaking, their perceived level of notetaking activity, and their degree of confidence about their own notetaking skill. (Author/MLW)