Statistics for Categorical Surveys—A New Strategy for Multivariate Classification and Determining Variable Importance

Statistics for Categorical Surveys—A New Strategy for Multivariate Classification and Determining Variable Importance

Surveys can be a rich source of information. However, the extraction of underlying variables from the analysis of mixed categoric and numeric survey data is fraught with complications when using grouping techniques such as clustering or ordination. Here I present a new strategy to deal with classifi...

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Bibliographic Details
Main Author: Alexander Herr
Format: Article
Language:English
Published: MDPI AG 2010-02-01
Series:Sustainability
Subjects:
nominal
cluster
typology
statistics
data analysis
decision tree
grouping
Online Access:http://www.mdpi.com/2071-1050/2/2/533/

Internet

http://www.mdpi.com/2071-1050/2/2/533/

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