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Mangiero, George A.; Kraten, Michael – American Journal of Business Education, 2017
Financial analysts generally create static formulas for the computation of NPV. When they do so, however, it is not readily apparent how sensitive the value of NPV is to changes in multiple interdependent and interrelated variables. It is the aim of this paper to analyze this variability by employing a dynamic, visually graphic presentation using…
Descriptors: Predictor Variables, Visual Aids, Computer Graphics, Business Administration Education
Gardner, Don E. – 1980
The merits of double exponential smoothing are discussed relative to other types of pattern-based enrollment forecasting methods. The difficulties associated with selecting an appropriate weight factor are discussed, and their potential effects on prediction results are illustrated. Two methods for objectively selecting the "best" weight…
Descriptors: College Students, Enrollment Projections, Enrollment Trends, Higher Education
Peer reviewedWish, 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
Peer reviewedSolomon, Eric S.; And Others – Journal of Dental Education, 1986
A mathematical model for predicting the size of the dental school applicant pool using the number of Dental Admission Test participants is presented. (MSE)
Descriptors: College Applicants, College Entrance Examinations, Dental Schools, Enrollment Projections
McNitt, Robert W. – College Board Review, 1986
The Naval Academy has instituted a system of averaging the Scholastic Aptitude Test scores of each applicant rather than using the most recent score alone as an admission criterion, having found that average scores are better predictors of academic success at the institution. (MSE)
Descriptors: Academic Achievement, Admission Criteria, College Admission, College Entrance Examinations
Peer reviewedRowe, Fred A.; And Others – College and University, 1985
The use of high school transcipts, American College Testing Service composite scores, and first semester courses and grades of college freshmen is discussed as a way to statistically analyze the notion that high school college preparatory courses help students earn better grades in college than elective courses do. (MSE)
Descriptors: Academic Achievement, College Admission, College Entrance Examinations, College Freshmen
Peer reviewedStaat, Robert H.; Yancey, John M. – Journal of Dental Education, 1982
Efforts to improve the reliability or prediction in dental school admissions by combining several preprofessional academic averages and selected nongraded personal attributes into a single admission index score are outlined. Use of the index is also proposed for use in monitoring less-qualified students' progress. (Author/MSE)
Descriptors: Academic Achievement, Admission Criteria, College Admission, Dental Schools
Peer reviewedPalmieri, Anthony, III – American Journal of Pharmaceutical Education, 1979
A response to a previous article on predicting academic success of transfer students at the School of Pharmacy, University of Wyoming, is presented. Posits that a multivariate predictor of a student's final grade point average would be a successful predictor tool. Presents an evaluation of those predictor equations. (MLW)
Descriptors: Academic Achievement, Admission Criteria, College Transfer Students, Grade Point Average
Ross, Steven M.; And Others – 1979
Undergraduates in two experiments learned ten mathematical rules under different strategies of adapting instruction to individual needs. An adaptive model developed by Hansen was structured to use multiple predictors for two purposes: (1) to classify students into four independent learning style groups, thus allowing for group-based adaptation;…
Descriptors: Aptitude Treatment Interaction, Contingency Management, Difficulty Level, Higher Education
Peer reviewedAstin, Alexander W. – Research in Higher Education, 1997
National longitudinal retention data on 52,898 students at 65 colleges and universities were used to generate formulas for estimating any institution's expected retention rate based on its students' high school grades, admission test scores, and racial and gender composition. Separate formulas were computed for estimating degree completion rates…
Descriptors: Academic Persistence, College Entrance Examinations, Ethnic Groups, Grades (Scholastic)
Garcia, Juan G.; And Others – 1978
Price indices related to specific expenditure categories are necessary for realistic budget projections in higher education. Given the erratic inflationary behavior of the past seven years, and the uniqueness of higher education expenditures, realistic inflation prediction requires a balanced combination of analytic forecasting and intuitive…
Descriptors: Budgeting, College Administration, Cost Indexes, Educational Economics


