Metric Scaling
Correspondence Analysis
- Susan C. Weller - University of Texas Medical Branch-Galveston
- A. Kimball Romney - University of California, Irvine, USA
Volume:
75
Other Titles in:
Test & Measurement
Test & Measurement
96 pages | SAGE Publications, Inc
This book presents a set of closely-related techniques that facilitate the visual exploration and display of a wide variety of multivariate data, both categorical and continuous. Three methods of metric scaling - correspondence analysis, principal components analysis and multiple dimensional preference scaling - are explored in detail for their strengths and weaknesses over a wide range of data types and research situations. The book focuses upon representing the relations among two or more sets of variables, and upon applications that are exploratory in nature rather than predictive.
Introduction
The Basic Structure of a Data Matrix
Principal Components Analysis
Multidimensional Preference Scaling
Correspondence Analysis of Contingency Tables
Correspondence Analysis of Non-Frequency Data
Ordination, Seriation, and Guttman Scaling
Multiple Correspondence Analysis