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Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Higher Education, Predictive Measurement, Models
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
Peer reviewedMarkman, Arthur B.; Gentner, Dedre – Cognitive Psychology, 1993
The hypothesis that structured representations can be compared via structural alignment and the prediction that similarity comparisons lead subjects to attend to the matching relational structure of a pair of items were supported through 4 experiments involving 218 undergraduates. Results indicate that similarity involves alignment of structured…
Descriptors: Analogy, Comparative Analysis, Higher Education, Models
Peer reviewedCode, 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
Peer reviewedBisschoff, A.; Bisschoff, C. A. – South African Journal of Higher Education, 2002
Potchefstroom University for Christian Higher Education evaluated the usefulness of a model created to predict the success of distance education course facilitators. The model identified eight key attributes based on performance measures from the 1999 Facilitator Customer Service Survey. The evaluation accredited the model while suggesting…
Descriptors: Distance Education, Foreign Countries, Higher Education, Models
Gravely, Archer R.; Strenglein, Denise – 1982
A model for predicting student credit hours (SCH) over a 2-year period was developed at the University of South Florida. A major application of the model would be to estimate the expected loss of upper-level SCH that would occur as a result of reduced lower-level enrollment. Attention was focused on the long-range effect of lower-level enrollment…
Descriptors: Academic Persistence, College Credits, Enrollment Trends, Higher Education
Peer reviewedGati, Itamar – Journal of Vocational Behavior, 1984
Examined the structure of occupations based on judgments of similarity, compared this structure with those derived from subjects' (N=26) responses to interest inventories, and compared the circular and hierarchical models. Results indicated that a combination of the circular and hierarchical models is preferable to either model alone. (LLL)
Descriptors: College Students, Foreign Countries, Higher Education, Models
Peer reviewedPerry, 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
Peer reviewedRumpf, 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
Peer reviewedKrakower, Jack Y.; Zammuto, Raymond F. – Review of Higher Education, 1987
The impact of several environmental and institutional factors on college and university enrollments between 1975-76 and 1980-81 is examined. Separate enrollment analyses of public and private two-year and four-year institutions, and of the major doctoral, comprehensive, and baccalaureate institutions of four-year schools were made. (Author/MLW)
Descriptors: College Environment, Enrollment Projections, Generalization, Higher Education
Peer reviewedMelchiori, Gerlinda S. – New Directions for Institutional Research, 1988
Using empirical research methods to segment alumni markets, profile donors, prioritize prospects, and project realistic budgets becomes more important as fundraising goals expand. Projecting alumni growth and its impact on program and budget planning, profiling donors and nondonors, and ranking prospects are discussed. (MLW)
Descriptors: Alumni, Donors, Fund Raising, Higher Education
Quatrano, Louis A. – 1981
The derivation of a model of management success potential in hospitals or health services administration is described. A questionnaire developed to assess management success potential in health administration students was voluntarily completed by approximately 700 incoming graduate students in 35 university health services administration programs…
Descriptors: Administrator Characteristics, Administrators, Health Personnel, High Achievement
Peer reviewedSnyder, John R.; Burke, John E. – Journal of Allied Health, 1986
Describes an application of Leavitt's Organizational Model for systems analysis of schools of allied health. A meta-analysis of studies reported in this journal was conducted to provide administrative insight for the model's dimensions of task, structure, technology, and people. (Author/CT)
Descriptors: Allied Health Occupations Education, Higher Education, Intervention, Models
Peer reviewedGardner, 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
Peer reviewedVernon, Philip A.; Mori, Monica – Intelligence, 1992
In 2 studies with 85 and 88 undergraduates, respectively, peripheral nerve conduction velocity (NCV) was significantly correlated with IQ score and reaction times, and NCV and reaction time contributed significantly, in combination, to prediction of IQ. Results are interpreted in terms of a neural efficiency model of intelligence. (Author/SLD)
Descriptors: Cognitive Processes, Correlation, Higher Education, Intelligence


