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

Adi Raveh*, Simha F. Landau

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)279-291
Number of pages13
JournalJournal of Quantitative Criminology
Volume2
Issue number3
DOIs
StatePublished - Sep 1986

Keywords

  • crimes
  • multidimensional scaling
  • principal-components analysis (PCA)
  • smallest-space analysis (SSA-I)

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