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Generalized Canonical Correlation Analysis of Matrices with Missing Rows: a Simulation Study

Published online by Cambridge University Press:  01 January 2025

Michel van de Velden  and
Tammo H. A. Bijmolt
Michel van de Velden*
Affiliation:
Erasmus University Rotterdam
Tammo H. A. Bijmolt
Affiliation:
University of Groningen
*
Requests for reprints should be sent to M. van de Velden, Econometric Institute, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR Rotterdam, The Netherlands. E-mail: [email protected]
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Abstract

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.

Keywords

generalized canonical correlation analysisOVERALSmissing valuesMonte carlo simulation
Type
Original Paper
Information
Psychometrika , Volume 71 , Issue 2 , June 2006 , pp. 323 - 331
Copyright
Copyright © 2006 The Psychometric Society

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Footnotes

The research of Michel van de Velden was partly funded through EU Grant HPMF-CT-2000-00664. The authors would like to thank the associate editor and three anonymous referees for their constructive comments and suggestions that led to a considerable improvement of the paper.

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