Abstract
Correspondence analysis is an exploratory multivariate technique for simultaneously displaying scores representing the row categories and column categories of a two-way contingency table as the coordinates of points in a low-dimensional (two- or possibly three-dimensional) vector space. The objective is to clarify the relationship between the row and column variates of the table and to discover a low-dimensional explanation for possible deviations from independence of those variates. The methodology has its own nomenclature, and its approach is decidedly geometric, especially for interpreting the resulting graphical displays.
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Keywords
- Contingency Table
- Correspondence Analysis
- Multiple Correspondence Analysis
- Occupational Mobility
- Canonical Variate Analysis
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© 2013 Springer Science+Business Media New York
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Izenman, A.J. (2013). Correspondence Analysis. In: Modern Multivariate Statistical Techniques. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-78189-1_17
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DOI: https://doi.org/10.1007/978-0-387-78189-1_17
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-78188-4
Online ISBN: 978-0-387-78189-1
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