Abstract
A generalized least squares approach is presented for incorporating linear constraints on the standardized row and column scores obtained from a canonical analysis of a contingency table. The method is easy to implement and may simplify considerably the interpretation of a data matrix. The approach is compared to a restricted maximum likelihood procedure.
Original language | English (US) |
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Pages (from-to) | 633-639 |
Number of pages | 7 |
Journal | Psychometrika |
Volume | 55 |
Issue number | 4 |
DOIs | |
State | Published - Dec 1990 |
Keywords
- canonical analysis
- restricted maximum likelihood
- singular value decomposition
ASJC Scopus subject areas
- General Psychology
- Applied Mathematics