A methodology for measuring latent variables based on multiple factor analysis

DOI10.1016/S0167-9473(03)00037-9zbMath1429.62219OpenAlexW2011603936MaRDI QIDQ956851

Ignacio García Lautre, Elena Abascal Fernández

Publication date: 26 November 2008

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-9473(03)00037-9

zbMATH Keywords

latent variablesindicatorsinfrastructurescomponent principal analysismultiple factorial analysis

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25)

Related Items (1)

Data mining in a bicriteria clustering problem

Uses Software

• AFMULT

Cites Work

• Multiple factor analysis (AFMULT package)

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