Metric Scaling: Correspondence Analysis (Quantitative Applications in the Social Sciences)
Product Description
Condition - Very Good
The item shows wear from consistent use but remains in good condition. It may arrive with damaged packaging or be repackaged.
Metric Scaling: Correspondence Analysis (Quantitative Applications in the Social Sciences)
- Used Book in Good Condition
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.
Technical Specifications
You might also like
Multidimensional Scaling (Quantitative Applications in the Social Sciences)
Unidimensional Scaling (Quantitative Applications in the Social Sciences)
Data Theory and Dimensional Analysis (Quantitative Applications in the Social Sciences)
Three Way Scaling: A Guide to Multidimensional Scaling and Clustering (Quantitative Applications in the Social Sciences)
Principal Components Analysis (Quantitative Applications in the Social Sciences)
Introduction to Factor Analysis: What It Is and How To Do It (Quantitative Applications in the Social Sciences)
Factor Analysis: Statistical Methods and Practical Issues (Quantitative Applications in the Social Sciences)
Matrix Algebra: An Introduction (Quantitative Applications in the Social Sciences)
Maximum Likelihood Estimation: Logic and Practice (Quantitative Applications in the Social Sciences)