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Ott, Mary Diederich – Research in Higher Education, 1988
Logistic regression was employed to analyze predictors of academic performance (academic dismissal versus satisfactory performance) for first-time freshmen after one semester in an eastern state university. The analyses indicated that academic performance was highly related to high school academic grade point average. (Author/MLW)
Descriptors: Academic Achievement, Academic Failure, College Freshmen, Expulsion

Sagaria, Mary Ann D. – Research in Higher Education, 1984
Predictors of job change for academic staff administrators are examined. Analyses of questionnaire data from administrators who had been employed from 1971 through 1978 indicated that predictors of job mobility differ for diverse kinds of moves with two exceptions--age and gender. (Author/MLW)
Descriptors: Administrators, Career Change, College Administration, College Faculty

Wish, John R.; Hamilton, William D. – Research in Higher Education, 1980
The viability of Freeman's model, which uses three equations to analyze causative demand and supply determinants, is examined as a management tool for explaining and predicting enrollments and the job market using macro and micro cases. (MSE)
Descriptors: College Administration, Educational Demand, Educational Supply, Employment Potential

Abedi, Jamal; Benkin, Ellen – Research in Higher Education, 1987
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)
Descriptors: College Students, Demography, Doctoral Degrees, Higher Education

Weiler, William C.; Wilson, F. Scott – Research in Higher Education, 1984
An important part of the analysis of the expected effects of institutional closure is estimation of redistribution of students attending the closed school. How coefficient estimates from models of enrollment demand can be used to predict the alternative attendance choices of students enrolled at the closed school is discussed. (Author/MLW)
Descriptors: College Students, Declining Enrollment, Enrollment Influences, Enrollment Projections