Correspondence Analysis in Practice

Forside
CRC Press, 7. mai 2007 - 296 sider
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-contained chapters, extensive marginal notes, informative figure and table captions, and end-of-chapter summaries.

New to the Second Edition

• Five new chapters on transition and regression relationships, stacked tables, subset correspondence analysis, analysis of square tables, and canonical correspondence analysis

• Substantially more figures and tables than the first edition

• A computational appendix that provides the R commands that correspond to most of the analyses featured throughout the book, making it easy for readers to reproduce the analyses

With 33 years of CA experience, the expert author demonstrates how to use uncomplicated, relatively nonmathematical techniques to translate complex tabular data into more readable graphical forms. CA and its variants multiple CA (MCA) and joint CA (JCA) are suitable for analyses in various fields, including marketing research, the social and environmental sciences, biochemistry, and more.

 

Innhold

Scatterplots and Maps
1
Profiles and the Profile Space
9
Masses and Centroids
17
Chisquare Distance and Inertia
25
Plotting Chisquare Distances
33
Reduction of Dimensionality
41
Optimal Scaling
49
Symmetry of Row and Column Analyses
57
Stacked Tables
129
Multiple Correspondence Analysis
137
Joint Correspondence Analysis
145
Scaling Properties of MCA
153
Subset Correspondence Analysis
161
Analysis of Square Tables
169
Data Recoding
177
Canonical Correspondence Analysis
185

Twodimensional Displays
65
Three More Examples
73
Contributions to Inertia
81
Supplementary Points
89
Correspondence Analysis Biplots
97
Transition and Regression Relationships
105
Clustering Rows and Columns
113
Multiway Tables
121
Aspects of Stability and Inference
193
Theory of Correspondence Analysis
201
Computation of Correspondence Analysis
213
Bibliography of Correspondence Analysis
259
Glossary of terms
263
Epilogue
267
Index
275
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