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Direct linkSimpson, Adrian – Studies in Higher Education, 2017
Within higher education systems, different institutions deliver different patterns of disciplines. A simple analysis of the structure of that pattern of disciplines across institutions in one higher education system uncovers a surprising relationship. That is, the key dimensions which describe that structure align nearly perfectly with dimensions…
Descriptors: Higher Education, Classification, Intellectual Disciplines, Predictive Validity
Download full textLiu, Ran; Koedinger, Kenneth R. – International Educational Data Mining Society, 2015
A growing body of research suggests that accounting for student specific variability in educational data can improve modeling accuracy and may have implications for individualizing instruction. The Additive Factors Model (AFM), a logistic regression model used to fit educational data and discover/refine skill models of learning, contains a…
Descriptors: Models, Regression (Statistics), Learning, Classification
Predicting Higher Education Outcomes and Implications for a Postsecondary Institution Ratings System
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
Koon, Sharon; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2015
The purpose of this report was to explicate the use of logistic regression and classification and regression tree (CART) analysis in the development of early warning systems. It was motivated by state education leaders' interest in maintaining high classification accuracy while simultaneously improving practitioner understanding of the rules by…
Descriptors: Classification, Regression (Statistics), Models, At Risk Students
Phillip, P. Joseph – J Exp Educ, 1970
Descriptors: Classification, Educational Research, Predictive Validity, Predictor Variables
Peer reviewedMcQuitty, Louis L. – Educational and Psychological Measurement, 1971
Descriptors: Classification, College Students, Concept Formation, Discriminant Analysis
SAW, J.G. – 1964
THIS PAPER DEALS WITH SOME TESTS OF HYPOTHESIS FREQUENTLY ENCOUNTERED IN THE ANALYSIS OF MULTIVARIATE DATA. THE TYPE OF HYPOTHESIS CONSIDERED IS THAT WHICH THE STATISTICIAN CAN ANSWER IN THE NEGATIVE OR AFFIRMATIVE. THE DOOLITTLE METHOD MAKES IT POSSIBLE TO EVALUATE THE DETERMINANT OF A MATRIX OF HIGH ORDER, TO SOLVE A MATRIX EQUATION, OR TO…
Descriptors: Analysis of Variance, Classification, Data Analysis, Hypothesis Testing
Cory, Charles H. – 1974
The potential usefulness of computerized tests for supplementing paper-and-pencil measures for predicting job performance abilities was the objective of a series of studies. This report covers the initial test development and analysis research. Eight computerized tests were constructed to measure five personal attributes identified in previous…
Descriptors: Classification, Computer Assisted Testing, Computer Oriented Programs, Evaluation
