INTRODUCTION | |
Introduction | |
A Look at Data and Models | |
Proximities | |
Matrix Results | |
METRIC MULTIDIMENSIONAL SCALING | |
Introduction | |
Classical Scaling | |
Robustness | |
Metric Least Squares Scaling | |
Critchley's Intermediate Method | |
Unidimensional Scaling | |
Grouped Dissimilarities | |
Inverse Scaling | |
NONMETRIC MULTIDIMENSIONAL SCALING | |
Introduction | |
Kruskal's Approach | |
The Gutman Approach | |
A Further Look at Stress | |
How Many Dimensions? | |
Starting Configurations | |
Interesting Axes in the Configuration | |
FURTHER ASPECTS OF MULTIDIMENSIONAL SCALING | |
Other Formulations of MDS | |
MDS Diagnostics | |
Robust MDS | |
Interactive MDS | |
Dynamic MDS | |
Constrained MDS | |
Statistical Inference for MDS | |
Asymmetric Dissimilarities | |
PROCRUSTES ANALYSIS | |
Introduction | |
Procrustes Analysis | |
Historic Maps | |
Some Generalizations | |
MONKEYS, WHISKY, AND OTHER APPLICATIONS | |
Introduction | |
Monkeys | |
Whisky | |
Aeroplanes | |
Yoghurts | |
Bees | |
BIPLOTS | |
Introduction | |
The Classic Biplot | |
Another Approach | |
Categorical Variables | |
UNFOLDING | |
Introduction | |
Nonmetric Unidimensional Unfolding | |
Nonmetric Multidimensional Unfolding | |
Metric Multidimensional Unfolding | |
CORRESPONDENCE ANALYSIS | |
Introduction | |
Analysis of Two-Way Contingency Tables | |
The Theory of Correspondence Analysis | |
Reciprocal Averaging | |
Multiple Correspondence Analysis | |
INDIVIDUAL DIFFERENCES MODELS | |
Introduction | |
The Tucker-Messick Model | |
INDSCAL | |
IDIOSCAL | |
PINDIS | |
ALSCAL, SMACOF, AND GIFI | |
ALSCAL | |
SMACOF | |
GIFI | |
FURTHER m-MODE, n-WAY MODELS | |
CANDECOMP, PARAFAC, and CANDELINC | |
DIDICOM and GIPSCAL | |
The Tucker Models | |
One-Mode, n-Way Models | |
Two-Mode, Three-Way Asymmetric Scaling | |
Three-Way Unfolding | |
APPENDIX | |
Computer Programs | |
The Accompanying Diskette | |
The Data Provided | |
To Manipulate and Analyze Data | |
Inputting User Data | |
Error Messages | |
REFERENCES. |