Publication
Generalized canonical correlation analysis of matrices with missing rows: A simulation study
van de Velden, M. & Bijmolt, T. H. A., Jun-2006, In : Psychometrika. 71, 2, p. 323-331 9 p.Research output: Contribution to journal › Article › Academic › peer-review
Documents
- Generalized canonical correlation analysis of matrices with missing rows
Final publisher's version, 69.1 KB, PDF document
DOI
A method is presented for generalized canonical correlation analysis of two or more matrices with missing rows. The method is a combination of Carroll's (1968) method and the missing data approach of the OVERALS technique (Van der Burg, 1988). In a simulation study we assess the performance of the method and compare it to an existing procedure called GENCOM, proposed by Green and Carroll (1988). We find that the proposed method outperforms the GENCOM algorithm both with respect to model fit and recovery of the true structure.
| Original language | English |
|---|---|
| Pages (from-to) | 323-331 |
| Number of pages | 9 |
| Journal | Psychometrika |
| Volume | 71 |
| Issue number | 2 |
| Publication status | Published - Jun-2006 |
- generalized canonical correlation analysis, OVERALS, missing values, Monte carlo simulation, SETS, VARIABLES
Keywords
ID: 4448466