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Brech, Felicitas M.; Messer, Uwe; Vander Schee, Brian A.; Rauschnabel, Philipp A.; Ivens, Bjoern S. – Journal of Marketing for Higher Education, 2017
Although many universities use social media to interact with stakeholders, little is known about the underlying mechanisms. Drawing on theories of self-presentation and community engagement, we develop a theoretical model to explain these crucial outcome factors. We then test the model based on secondary data from 159 universities. Our findings…
Descriptors: Social Media, Higher Education, Interaction, School Community Relationship

Leonard, D. Lisa; Niebuhr, Bruce R. – Occupational Therapy Journal of Research, 1986
This study was designed to determine the relative contribution of several types of admissions data in predicting the success of junior occupational therapy students in the first term of a human anatomy and physiology course. (Author/CT)
Descriptors: Admission Criteria, Anatomy, Higher Education, Multiple Regression Analysis

Carlan, Philip E.; Byxbe, Ferris R. – Community College Review, 2000
Reports that studies of native and transfer students at a university indicated that lower division GPA and major were significant predictors of upper division GPA for both groups, but more so for transfers than for natives. States that, although race was not a significant predictor for transfers, it was the most significant predictor for native…
Descriptors: Academic Achievement, College Transfer Students, Grade Point Average, Higher Education
Inbar, Michael – 1982
In contrast to linear models of human judgment developed for predictive purposes which are characteristically insensitive to the exact values of the weights utilized in them, the Linear Multiple Regression Models used for policy capturing are assumed to reflect significant aspects of the subjects' judgmental policies. This latter kind of modelling…
Descriptors: Evaluative Thinking, Higher Education, Judgment Analysis Technique, Multiple Regression Analysis
Donnangelo, Frank P. – 1973
A stepwise multiple regression analysis was performed in order to explore the possibility of predicting the quality of a counselor's performance from the values of five predictor variables. The opportunity to make such predictions could prove useful to Deans of Students in making decisions concerning personnel deployment, in-service training,…
Descriptors: Counselor Evaluation, Counselor Performance, Counselors, Decision Making
Sussman, Jeffrey – Alternative Higher Education: The Journal of Nontraditional Studies, 1979
A study to determine the effectiveness of the personalized system of instruction format used in the introductory economics course at Empire State College is reported. Also addressed are the ability of adult students in the personalized system to learn as much as students in conventional settings, and the explaining and predicting of adult…
Descriptors: Academic Achievement, Adult Students, College Instruction, Economics Education
Roesler, Jon S.; Armstrong, Roberta A. – OSA Research Bulletin, 1981
The effectiveness of measures used in the admissions process to predict performance in and/or graduation from a University of Minnesota dental hygiene program is examined. Students in classes entering from Fall 1977 through Winter 1979 were studied, and predictor and performance measures to be studied were identified by the program. Predictor…
Descriptors: Admission Criteria, Allied Health Occupations Education, College Admission, Dental Hygienists
Wysocki, James C. – 1977
The performance of the University of Arizona College of Medicine's graduating class of 1976 on the National Board of Medical Examiners (NBME) Parts I and II was analyzed in a structural equation model. Although the primary emphasis of this paper is toward model development, the effects of several background and demographic variables such as age,…
Descriptors: Critical Path Method, Grade Point Average, Higher Education, Mathematical Models
Taylor, Robert L.; And Others – 1973
Mathematical models of judgment policy are compared in evaluating 625 Cadet Performance Reports during a single rating cycle. Linear and nonlinear regressions are used to describe the cues most important in determining overall ratings. In addition, performance rating policy is compared with stated policy for each of forty cadet raters. In general,…
Descriptors: Analysis of Variance, Comparative Analysis, Decision Making, Higher Education

And Others; Keck, Jonathan W. – Journal of Medical Education, 1979
An investigation was made to determine the increase in predictive efficiency attained by adding noncognitive variables to cognitive variables in predicting clinical performance of residents. It was found that a combination functions much better than any individual variables or even any specific class of variables in predicting resident clinical…
Descriptors: Clinical Experience, Cognitive Measurement, Graduate Medical Students, Higher Education