Backward Variable Elimination Canonical Correlation and Canonical Cross-Validation [electronic resource] / Sandra Eason.

This paper suggests that multivariate analysis techniques are very important in educational research, and that one multivariate technique--canonical correlation analysis--may be particularly useful. The logic of canonical analysis is explained. It is suggested that a backward variable elimination st...

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Bibliographic Details
Online Access: Full Text (via ERIC)
Main Author: Eason, Sandra
Format: Electronic eBook
Language:English
Published: [S.l.] : Distributed by ERIC Clearinghouse, 1990.
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MARC

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245 1 0 |a Backward Variable Elimination Canonical Correlation and Canonical Cross-Validation  |h [electronic resource] /  |c Sandra Eason. 
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300 |a 19 p. 
500 |a ERIC Document Number: ED317616. 
500 |a Availability: Sandra Eason, University of New Orleans, Lakefront, New Orleans, LA 70148.  |5 ericd. 
500 |a ERIC Note: Paper presented at the Annual Meeting of the Southwest Educational Research Association (Austin, TX, January 25-27, 1990).  |5 ericd. 
520 |a This paper suggests that multivariate analysis techniques are very important in educational research, and that one multivariate technique--canonical correlation analysis--may be particularly useful. The logic of canonical analysis is explained. It is suggested that a backward variable elimination strategy can make the method even more powerful, by yielding more parsimonious results and greater power against Type II error. Backward variable elimination canonical correlation analysis uses communality coefficients to eliminate variables with relatively small explanatory power. It is also suggested that cross-validation procedures should be implemented to augment interpretation. These analyses are illustrated using a small heuristic data set. Five data tables are included. (Author/TJH) 
650 1 7 |a Educational Research.  |2 ericd. 
650 1 7 |a Heuristics.  |2 ericd. 
650 1 7 |a Multivariate Analysis.  |2 ericd. 
650 0 7 |a Research Methodology.  |2 ericd. 
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