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A Unification of Correlational and Experimental Methodology [microform] : An Application of a Guttman Theorem / Robert M. Pruzek
Bib ID 5221361
Format BookBook, MicroformMicroform, OnlineOnline
Author
Pruzek, Robert M
 
Online Versions
Description [Washington, D.C.] : Distributed by ERIC Clearinghouse, 1971 
31 p. 
Summary

Guttman's "rank-reduction" theorem is employed to demonstrate how most of the algebra and computational work for standard correlational and analysis of variance methods can be examined within a single matrix system. Analyses of both correlational and experimental data are illustrated with an easy-to-use computer program. This application and the corresponding discussion emphasize distinctions and qualifications needed for appropriate interpretations of both types of data. Since this theorem was initially presented within the framework of factor analysis, it is intended that this paper will contribute to a better understanding of relationships among factor analytic, general correlational, and experimental design methods. (Author/CK)

Notes

ERIC Note: Paper presented at the Annual Meeting of the American Educational Research Association, New York, New York, February 1971.

May also be available online. Address as at 14/8/18: https://eric.ed.gov/

Reproduction Microfiche. [Washington D.C.]: ERIC Clearinghouse microfiches : positive. 
Subjects Analysis of Covariance.  |  Analysis of Variance.  |  Computer Programs.  |  Correlation.  |  Factor Analysis.  |  Mathematical Models.  |  Mathematics.  |  Prediction.  |  Research Methodology.  |  Statistics.  |  Guttman Facet Design
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