Smallest-space analysis vs. the method of principal components: Another look at Ahamad's analysis of crimes

This paper presents a reanalysis of the Ahamad case study of 18 types of offenses. The suggested method is a nonmetric multidimensional scaling type called smallest-space analysis (SSA-I) which uncovers findings that were not expressed explicitly by the principal-components method used by Ahamad.

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Bibliographic Details
Main Author: Raveh, Adi (Author)
Contributors: Landau, Simha F.
Format: Electronic Article
Language:English
Published: 1986
In: Journal of quantitative criminology
Year: 1986, Volume: 2, Issue: 3, Pages: 279-291
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Keywords:
smallest-space analysis (SSA-I)
principal-components analysis (PCA)
multidimensional scaling
Crimes
Description
Summary:This paper presents a reanalysis of the Ahamad case study of 18 types of offenses. The suggested method is a nonmetric multidimensional scaling type called smallest-space analysis (SSA-I) which uncovers findings that were not expressed explicitly by the principal-components method used by Ahamad.
ISSN:1573-7799
DOI:10.1007/BF01066531