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Research in Higher Education | 16 |
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Perry, Ronald F.; Rumpf, David L. – Research in Higher Education, 1984
The collection and analysis of survey data directed toward eliciting those characteristics of the institution, applicant, and applicant's family which affect the matriculation decision are reported. Ways in which the results may influence recruiting activities so that limited resources may yield more matriculants are provided. (Author/MLW)
Descriptors: College Admission, College Applicants, Discriminant Analysis, Higher Education

Rumpf, David L.; And Others – Research in Higher Education, 1987
A model is presented that combines a polynomial lag econometric model with a goal programming model to satisfy the known conditions while making efficient use of limited data. The model is applied to data for a large public university. (Author/MLW)
Descriptors: College Admission, College Planning, Enrollment Projections, Higher Education

Gardner, Don E. – Research in Higher Education, 1981
The merits of double exponential smoothing are discussed relative to other types of pattern-based enrollment forecasting methods. The basic assumptions and formulas for its use are outlined. The difficulties associated with selecting an appropriate weight factor are discussed, and the potential effect on prediction results is illustrated.…
Descriptors: Colleges, Enrollment Projections, Exponents (Mathematics), Higher Education

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

Weiler, William C. – Research in Higher Education, 1987
Studies of enrollment demand assume that public institutions accept all eligible applicants. If enrollments are limited by institutional constraints on the supply of places, another approach to estimating student demand behavior is needed. A model that explains the determination of enrollments in these cases is presented. (Author/MLW)
Descriptors: College Admission, College Attendance, Data Analysis, Educational Demand

Chatman, Steven P. – Research in Higher Education, 1986
The difference between accepted and enrolling students was modeled over a 30-week period using total number of students accepted, mean composite SAT scores, and mean high school quarter rank. The enrollment yield and academic ability difference functions were collectively modeled for the university and separately for each academic college.…
Descriptors: Academic Ability, Academic Achievement, College Applicants, College Freshmen

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

King, Suzanne; Wolfle, Lee M. – Research in Higher Education, 1987
A LISREL analysis demonstrates the value of regressing reputational ratings on three latent variables: size, faculty research productivity, and the quality of program graduates. The model was tested using National Research Council data for each of six disciplines: English, French, philosophy, geography, political science, and sociology.…
Descriptors: College Faculty, Doctoral Programs, Educational Quality, Graduate Study

Tracey, Terence J.; Sedlacek, William E. – Research in Higher Education, 1987
The structural relation of the seven noncognitive dimensions proposed by Sedlacek and Brooks in 1976 and traditional definitions of academic ability, as indicated by Scholastic Aptitude Test (SAT) scores, to first semester grade-point average and persistence after three and five semesters was examined. (Author/MLW)
Descriptors: Academic Ability, Academic Achievement, Academic Persistence, Black Students

O'Brecht, Michael; And Others – Research in Higher Education, 1989
Survey data from 458 former health science graduate students were examined for correlations between variables that might be used in selecting research training award recipients and successful training outcome defined as a highly productive research career. Four variables that showed promise as useful indicators of posttraining research are…
Descriptors: Academic Achievement, Discriminant Analysis, Factor Analysis, Grades (Scholastic)

Johnson, Catherine B.; And Others – Research in Higher Education, 1987
The increasing concern with equity issues in higher education, along with litigation, has prompted institutions to undertake salary prediction studies. Four models were compared: (1) entering all variables, (2) excluding rank and tenure, (3) using predicted rank and tenure, and (4) using only "objective" variables. (Author/MLW)
Descriptors: Bias, College Faculty, Comparable Worth, Comparative Analysis

Seneca, Joseph J.; Taussig, Michael K. – Research in Higher Education, 1987
An empirical model of the enrollment decision for students admitted both to Rutgers University and to at least one alternate college is described. Students base their enrollment decision on the relative quality of the schools, their own abilities and family resources, and the net costs of the schools. (Author/MLW)
Descriptors: College Bound Students, College Choice, Decision Making, Educational Finance

Pratt, Cornelius B.; McLaughlin, Gerald W. – Research in Higher Education, 1989
Correlational and path analyses were used to examine the effects of four situations on self-reported ethical behaviors on four primary ethical dimensions among undergraduate communication students. The four situations are: students' ethical beliefs, students' perceptions of professors' ethical beliefs, and students' perceptions of ethical beliefs…
Descriptors: Cheating, College Faculty, College Students, Communication (Thought Transfer)
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