Homogeneity analysis with k sets of variables: An alternating least squares method with optimal scaling features

DOI10.1007/BF02294131zbMath0718.62143MaRDI QIDQ2639533

Jan de Leeuw, E. van der Burg, Renée Verdegaal

Publication date: 1988

Published in: Psychometrika (Search for Journal in Brave)

zbMATH Keywords

principal component analysistransformationscanonical correlation analysiscorrespondence analysisHomogeneity analysisoptimal scalingalternating least squares algorithmOVERALSepidemiological survey

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items

A user-oriented overview of multiway methods and software, OVERALS: Nonlinear canonical correlation with \(k\) sets of variables, Multivariate analysis with linearizable regressions, Homogeneity analysis with k sets of variables: An alternating least squares method with optimal scaling features, Component analysis with different sets of constraints on different dimensions, The Gifi system of descriptive multivariate analysis., Relationships among several methods of linearly constrained correspondence analysis, Nonparametric estimation of item and respondent locations from unfolding-type items, Generalized data-fitting factor analysis with multiple quantification of categorical variables

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