Explorative Data Analysis and CATANOVA for Ordinal Variables: An Integrated Approach

DOI10.1080/02664760701591937OpenAlexW2028949649MaRDI QIDQ5123339

Antonello D'Ambra, Pasquale Sarnacchiaro

Publication date: 28 September 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664760701591937

zbMATH Keywords

statistical testnon-symmetrical correspondence analysiscustomer satisfactionconfidence circlecategorical analysis of varianceAndrews curveEmerson orthogonal polynomialsGoodman and Kruskal \(\tau \)

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (4)

The association in two-way ordinal contingency tables through global odds ratios ⋮ Studying the dependence between ordinal-nominal categorical variables via orthogonal polynomials ⋮ Visualizing main effects and interaction in multiple non-symmetric correspondence analysis ⋮ CATANOVA for ordinal variables using orthogonal polynomials with different scoring methods

Cites Work

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• Non-symmetric correspondence analysis with ordinal variables using orthogonal polynomials
• Theory & Methods: Partitioning Pearson's Chi‐squared Statistic for Singly Ordered Two‐way Contingency Tables
• An Analysis of Variance for Categorical Data
• Catanova for Two-Way Contingency Tables with Ordinal Variables Using Orthogonal Polynomials
• Measures of Association for Cross Classifications

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