Eric J. Beh - An Introduction to Correspondence Analysis

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Master the fundamentals of correspondence analysis with this illuminating resource An Introduction to Correspondence Analysis Written in three parts, the book begins by offering readers a description of two variants of correspondence analysis that can be applied to two-way contingency tables for nominal categories of variables. Part Two shifts the discussion to categories of ordinal variables and demonstrates how the ordered structure of these variables can be incorporated into a correspondence analysis. Part Three describes the analysis of multiple nominal categorical variables, including both multiple correspondence analysis and multi-way correspondence analysis.
Readers will benefit from explanations of a wide variety of specific topics, for example:
Simple correspondence analysis, including how to reduce multidimensional space, measuring symmetric associations with the Pearson Ratio, constructing low-dimensional displays, and detecting statistically significant points Non-symmetrical correspondence analysis, including quantifying asymmetric associations Simple ordinal correspondence analysis, including how to decompose the Pearson Residual for ordinal variables Multiple correspondence analysis, including crisp coding and the indicator matrix, the Burt Matrix, and stacking Multi-way correspondence analysis, including symmetric multi-way analysis Perfect for researchers who seek to improve their understanding of key concepts in the graphical analysis of categorical data,
will also assist readers already familiar with correspondence analysis who wish to review the theoretical and foundational underpinnings of crucial concepts.

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2 Chapter 3Figure 3.1 The weighted centred column profiles, картинка 70, for each Country categor...Figure 3.2 Two-dimensional non-symmetrical correspondence plot of Table 1.1....Figure 3.3 Two-dimensional non-symmetrical correspondence plot of Table 1.1 ...Figure 3.4 Three-dimensional non-symmetrical correspondence plot of Table 1....Figure 3.5 Column isometric biplot from the non-symmetrical correspondence a...Figure 3.6 Three-dimensional column isometric biplot from the non-symmetrica...Figure 3.7 Non-symmetrical correspondence plot of Table 1.1 with картинка 71(row) con...Figure 3.8 Non-symmetrical correspondence plot of Table 1.1 with картинка 72(column) ...

3 Chapter 4Figure 4.1 Two-dimensional correspondence plot of Table 1.2.Figure 4.2 Centred row profiles, картинка 73, of Table 1.2.Figure 4.3 Centred column profiles, картинка 74, of Table 1.2.Figure 4.4 Two-dimensional ordered row isometric biplot from the DOCA of the...Figure 4.5 Two-dimensional ordered column isometric biplot from the DOCA of ...

4 Chapter 5Figure 5.1 The weighted centred column profiles, картинка 75, for each Age category of...Figure 5.2 Two-dimensional column biplot from a singly ordered (and nominal)...Figure 5.3 Two-dimensional row isometric biplot from a singly-ordered non-sy...

5 Chapter 6Figure 6.1 Two-dimensional correspondence plot from the multiple corresponde...Figure 6.2 Three-dimensional correspondence plot from the multiple correspon...Figure 6.3 Two-dimensional correspondence plot from the multiple corresponde...Figure 6.4 Three-dimensional correspondence plot from the multiple correspon...Figure 6.5 Two-dimensional correspondence plot from stacking Size and Lake f...Figure 6.6 Two-dimensional correspondence plot from the multiple corresponde...

6 Chapter 7Figure 7.1 Column–tube interactive biplot from the symmetric multi-way corre...Figure 7.2 Row interactive biplot from the symmetric multi-way correspondenc...Figure 7.3 Column–tube interactive biplot of three-way non-symmetrical multi...

Guide

1 Cover

2 Table of Contents

3 Begin Reading

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An Introduction to Correspondence Analysis

Eric J. Beh

School of Mathematical & Physical Sciences,

University of Newcastle, Australia

Rosaria Lombardo

Department of Economics,

University of Campania “Luigi Vanvitelli,” Italy

An Introduction to Correspondence Analysis - изображение 76

This edition first published 2021

© 2021 John Wiley and Sons Ltd

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