A Comparison of Hierarchical and Nonhierarchical Logistic Regression for Estimating Cutoff Scores in Course Placement [electronic resource] / E. Matthew Schulz, Damian Betebenner and Meeyeon Ahn.

This study was performed to determine whether hierarchical logistic regression models could reduce the sample size requirements of ordinary (nonhierarchical) logistic regression models. Data from courses with varying class size were randomly partitioned into two halves per course. Grades of students...

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Bibliographic Details

Online Access:	Full Text (via ERIC)
Main Author:	Schulz, E. Matthew
Other Authors:	Betebenner, Damian, Ahn, Meeyeon
Format:	Electronic eBook
Language:	English
Published:	[Place of publication not identified] : Distributed by ERIC Clearinghouse, 2002.
Subjects:	Algebra. College Students. Comparative Analysis. Cutting Scores. Estimation (Mathematics) Higher Education. Regression (Statistics) Sample Size.