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) |
|---|---|
| Pages (from-to) | 633-639 |
| Number of pages | 7 |
| Journal | Psychometrika |
| Volume | 55 |
| Issue number | 4 |
| DOIs | |
| State | Published - Dec 1 1990 |
Keywords
- canonical analysis
- restricted maximum likelihood
- singular value decomposition
ASJC Scopus subject areas
- Psychology(all)
- Applied Mathematics