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Wang, Xueli – Journal of Higher Education, 2012
This study examined factors associated with the upward transfer of baccalaureate aspirants beginning at community colleges. Based on data from the National Education Longitudinal Study of 1988 and the Postsecondary Education Transcript Study, a sequential logistic regression analysis was conducted to predict bachelor's degree-seeking community…
Descriptors: Community Colleges, Performance Factors, College Transfer Students, Longitudinal Studies
Peer reviewedLeonard, 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
Whaton, George R.; And Others – 1971
As the first step in a program to develop quantitative techniques for prescribing the design and use of training systems, the present study attempted: to compile an initial set of quantitative indices, to determine whether these indices could be used to describe a sample of trainee tasks and differentiate among them, to develop a predictive…
Descriptors: Criterion Referenced Tests, Instructional Design, Multiple Regression Analysis, Performance Criteria
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
Peer reviewedAnd 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

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