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.

Additional Metadata
Keywords Generalized canonical correlation analysis, Missing values, Monte carlo simulation, OVERALS
Persistent URL dx.doi.org/10.1007/s11336-004-1168-9, hdl.handle.net/1765/74352
Journal Psychometrika
van de Velden, M, & Bijmolt, T.H.A. (2006). Generalized canonical correlation analysis of matrices with missing rows: A simulation study. Psychometrika, 71(2), 323–331. doi:10.1007/s11336-004-1168-9