Backward Variable Elimination Canonical Correlation and Canonical Cross-Validation [microform] / Sandra Eason
- Bib ID:
- 5516363
- Format:
- Book and Microform
- Author:
- Eason, Sandra
- Online Version:
- https://eric.ed.gov/?id=ED317616
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- Description:
-
- [Washington, D.C.] : Distributed by ERIC Clearinghouse, 1990
- 19 p.
- Summary:
-
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)
- Notes:
-
- Availability: Sandra Eason, University of New Orleans, Lakefront, New Orleans, LA 70148.
- ERIC Note: Paper presented at the Annual Meeting of the Southwest Educational Research Association (Austin, TX, January 25-27, 1990).
- May also be available online. Address as at 14/8/18: https://eric.ed.gov/
- Reproduction:
- Microfiche. [Washington D.C.]: ERIC Clearinghouse microfiches : positive.
- Subject:
- Available From:
- ERIC
- Copyright:
-
In Copyright
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Copyright status was determined using the following information:
- Material type:
- Literary Dramatic Musical
- Published status:
- Published
- Publication date:
- 1990
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