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Metric Scaling
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Metric Scaling
Correspondence Analysis



October 1990 | 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

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ISBN: 9780803937505
£17.99

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