ABSTRACT

Drawing on the author's experience in social and environmental research, Correspondence Analysis in Practice, Second Edition shows how the versatile method of correspondence analysis (CA) can be used for data visualization in a wide variety of situations. This completely revised, up-to-date edition features a didactic approach with self-cont

chapter 1|8 pages

Scatterplots and Maps

chapter 2|8 pages

Profiles and the Profile Space

chapter 3|8 pages

Masses and Centroids

chapter 4|8 pages

Chi-square Distance and Inertia

chapter 5|8 pages

Plotting Chi-square Distances

chapter 6|8 pages

Reduction of Dimensionality

chapter 7|8 pages

Optimal Scaling

chapter 8|8 pages

Symmetry of Row and Column Analyses

chapter 9|8 pages

Two-dimensional Maps

chapter 10|8 pages

Three More Examples

chapter 11|8 pages

Contributions to Inertia

chapter 12|8 pages

Supplementary Points

chapter 13|8 pages

Correspondence Analysis Biplots

chapter 14|8 pages

Transition and Regression Relationships

chapter 15|8 pages

Clustering Rows and Columns

chapter 16|8 pages

Multiway Tables

chapter 17|8 pages

Stacked Tables

chapter 18|8 pages

Multiple Correspondence Analysis

chapter 19|8 pages

Joint Correspondence Analysis

chapter 20|8 pages

Scaling Properties of MCA

chapter 21|8 pages

Subset Correspondence Analysis

chapter 22|8 pages

Analysis of Square Tables

chapter 23|8 pages

Data Recoding

chapter 24|8 pages

Canonical Correspondence Analysis

chapter 25|8 pages

Aspects of Stability and Inference