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Metric Scaling
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Metric Scaling
Correspondence Analysis

Volume: 75
Other Titles in:
Test & Measurement
96 pages | SAGE Publications, Inc
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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

Susan C. Weller

Dr. Weller’s PhD is in Social Science and her expertise is in the area of research methods (statistics, epidemiology, and data collection). She is skilled in both qualitative and quantitative methods. She has two books on methods: Systematic Data Collection (Sage Pub) covers a wide variety of interviewing and data collection methods and Metric Scaling (Sage Pub.) covers multivariate techniques of principal components, multidimensional scaling, and correspondence analysis. For over a decade, she has been the co-director and a teacher in the National Science Foundation’s Summer Institute for Research Design. Her research interests focus... More About Author

Antone Kimball Romney

Professor Romney's recent research has focused on human color vision ranging from cross-cultural studies of color perception to representing physical reflectance spectra in low dimensional Euclidean space (selected items available in pdf format below). Other research interests include comparative cognitive studies of semantic structures, the measurement of cultural knowledge using culture consensus theory, and multidimensional scaling. He was a Fellow at the Center for Advanced Study in the Behavioral Sciences in 1956-57. He is a Fellow of the American Academy of Arts and Sciences and a Member of the National Academy of Sciences. More About Author

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