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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Bibliographische Detailangaben
VerfasserInnen: Raveh, Adi (Verfasst von) ; Landau, Simha F. (Verfasst von)
Medienart: Elektronisch Aufsatz
Sprache:Englisch
Veröffentlicht: 1986
In: Journal of quantitative criminology
Jahr: 1986, Band: 2, Heft: 3, Seiten: 279-291
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Schlagwörter:
smallest-space analysis (SSA-I)
principal-components analysis (PCA)
multidimensional scaling
Crimes
Beschreibung
Zusammenfassung: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