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Peer reviewedMacCallum, Robert C. – Psychometrika, 1979
A Monte Carlo study investigated the ability of the ALSCAL multidimensional scaling program to recover true structure inherent in simulated proximity measures when data were missing. The program worked well with up to 60 percent missing data as long as sample size was large and random error was low. (Author/JKS)
Descriptors: Computer Programs, Multidimensional Scaling, Program Effectiveness, Simulation
Direct linkvan de Velden, Michel; Bijmolt, Tammo H. A. – Psychometrika, 2006
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…
Descriptors: Multivariate Analysis, Matrices, Simulation, Comparative Testing
