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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Detalles Bibliográficos
Autor principal: Raveh, Adi (Autor)
Otros Autores: Landau, Simha F.
Tipo de documento: Electrónico Artículo
Lenguaje:Inglés
Publicado: 1986
En: Journal of quantitative criminology
Año: 1986, Volumen: 2, Número: 3, Páginas: 279-291
Acceso en línea: Volltext (lizenzpflichtig)
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Palabras clave:
smallest-space analysis (SSA-I)
principal-components analysis (PCA)
multidimensional scaling
Crimes
Descripción
Sumario: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