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Fako, Thabo T.; Nkhukhu-Orlando, Esther; Wilson, Debra R.; Forcheh, Ntonghanwah; Linn, James G. – International Journal of Educational Administration and Policy Studies, 2018
Organizational commitment is a major determinant of organizational effectiveness and desirable employee attitudes and behaviours. Highly committed academic staff are the backbone of universities since they play an important role in the success of their institutions. This study investigated factors associated with organizational commitment among…
Descriptors: Foreign Countries, Organizational Climate, Performance Factors, Employee Attitudes
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Walker, Eddie G., II – Journal of Higher Education Policy and Management, 2016
The accountability of colleges and universities is a high priority for those making policy decisions. The purpose of this study was to determine institutional characteristics predicting retention rates, graduation rates and transfer-out rates using publicly available data from the US Department of Education. Using regression analysis, it was…
Descriptors: Higher Education, Predictive Measurement, Predictive Validity, Prediction
Helm Stevens, Roxanne – ProQuest LLC, 2011
PROBLEM: Many of the preliminary approaches to strategic management of intellectual capital or knowledge assets have not been attempted in the not-for-profit arena. Additionally, because there is no marketplace value for not-for-profit firms or a valuation system for intangible assets, the identification and measurement necessary for efficient and…
Descriptors: Higher Education, Stakeholders, Resource Allocation, Human Capital
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Code, Ronald P. – Journal of Medical Education, 1985
A number of statistical procedures that were developed in 1983 at the University of Medicine and Dentistry of New Jersey-Rutgers Medical School to verify the suspicion that a student cheated during an examination are described. (MLW)
Descriptors: Cheating, Higher Education, Medical Students, Models
Weiss, Kenneth P. – Coll Univ, 1970
This study represents an approach to developing a non-linear predictive system by which college applicants may be rank ordered. (IR)
Descriptors: Academic Achievement, Admission (School), Clinical Diagnosis, Higher Education
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Kinsella, I. A.; Hannaidh, P. B. O. – Physics Education, 1978
Describes a simulation method for measurement of errors that requires calculators and tables of random digits. Each student simulates the random behaviour of the component variables in the function and by combining the results of all students, the outline of the sampling distribution of the function can be obtained. (GA)
Descriptors: College Science, Computation, Higher Education, Instruction
Chronicle of Higher Education, 1987
College enrollment will be relatively stable over the next four years according to new projections by the U.S. Department of Education. (MLW)
Descriptors: Colleges, Enrollment Projections, Enrollment Trends, Higher Education
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Galbraith, Peter – Teaching Mathematics and Its Applications, 1996
Suggests ways for using data from championship tennis as a means for exploring probabilistic models, especially binomial probability. Examples include the probability of winning a service point and the probability of winning a service game using data from tables and graphs. (AIM)
Descriptors: Higher Education, Mathematical Applications, Mathematical Models, Mathematics Instruction
Saupe, Joe L. – 1991
This paper describes a procedure for smoothing the proportions of a double-entry expectancy table which might be used in higher education admissions advising or other functions. The product of the smoothing procedure is a nomograph, a medium for displaying expectancies which provides pairs of individual values for two predictor variables rather…
Descriptors: Expectancy Tables, Higher Education, Institutional Research, Predictive Measurement
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
Downes, Beverley – Australian University, 1976
A Model predicts a student's academic performance in his first year in a particular department at a university. It uses an aggregate selection score based on aggregate results obtained at a public examination along with a measure of the student's ability in one or more specific subjects or areas relevant to the department. (LBH)
Descriptors: Academic Achievement, Admission (School), College Freshmen, Foreign Countries
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Kolen, Michael J.; Whitney, Douglas R. – Journal of Educational Measurement, 1978
Nine methods of smoothing double-entry expectancy tables (tables that relate two predictor variables to probability of attaining success on a criterion) were compared using data for entering students at 85 colleges and universities. The smoothed tables were more accurate than those based on observed relative frequencies. (Author/CTM)
Descriptors: College Entrance Examinations, Expectancy Tables, Grade Prediction, High Schools
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de Rome, Elizabeth; Lewin, Terry – Higher Education, 1984
A study examined whether information about student approaches to making their course choices could have been used to identify those who subsequently changed or withdrew from their courses. Multivariate analysis indicated that combinations of the information could discriminate between students who persisted and those who withdrew. (Author/MLW)
Descriptors: Academic Persistence, College Environment, Higher Education, Predictive Measurement
Clark, Sheldon B.; Nichols, James O. – 1983
Survey data concerning teacher education program graduates were used to demonstrate the advantages of a stratified random sampling approach, with followup, relative to a one-shot mailing to an entire population. Sampling issues involved in such an approach are addressed, particularly with regard to quantifying the effects of nonresponse on the…
Descriptors: Case Studies, Followup Studies, Graduate Surveys, Higher Education
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Jennings, Linda W.; Young, Dean M. – New Directions for Institutional Research, 1988
Increasing demands for accurate forecasts in such areas as student enrollment, energy expenditures, and facility capacity are placing new demands on the institutional researcher. A variety of forecasting models and methods are available, all to be used with caution in long-range forecasting. (Author/MSE)
Descriptors: College Planning, Higher Education, Institutional Research, Long Range Planning
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