Tying up the loose ends in simple, multiple, joint correspondence analysis

DOI10.1007/978-3-7908-1709-6_13zbMath1437.62022OpenAlexW1827990220MaRDI QIDQ3298600

Michael J. Greenacre

Publication date: 15 July 2020

Published in: Compstat 2006 - Proceedings in Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-7908-1709-6_13

zbMATH Keywords

correspondence analysismultiple correspondence analysismultiple factor analysistotal inertiainternational social survey program

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to social sciences (62P25)

Related Items (1)

Rotation in correspondence analysis from the canonical correlation perspective

Uses Software

• R

Cites Work

• Biplots of Compositional Data
• Canonical Analysis of Contingency Tables by Maximum Likelihood
• Correspondence analysis of multivariate categorical data by weighted least-squares
• Minimum Covering Ellipses
• Goodness of fit of biplots and correspondence analysis
• Oblique Promax Rotation Applied to the Solutions in Multiple Correspondence Analysis
• The biplot graphic display of matrices with application to principal component analysis
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