A Spectral Clustering Approach to the Structure of Personality: Contrasting the FFM and HEXACO Models

Sean Brocklebank, Scott Pauls, Daniel Rockmore, Timothy Bates

Research output: Contribution to journalArticlepeer-review

Abstract

Alternative analytic methods may help resolve the dimensionality of personality and the content of those dimensions. Here we tested the structure of personality using spectral clustering and conventional factor analysis. Study 1 analysed responses from 20,993 subjects taking the 300-item IPIP NEO personality questionnaire. For factor analysis, a five-factor solution recovered the FFM domains while the six-factor solution yielded only a small and hard to interpret sixth factor. By contrast, spectral clustering analysis yielded six-cluster solutions congruent with the HEXACO model. Study 2 analysed data from 1,128 subjects taking the 100-item HEXACO-PI-R. Unambiguous support was found for a six-cluster solution. The psychological content of the 6 clusters and their relationship to the FFM domains is discussed.
Original languageEnglish
Pages (from-to)100-109
Number of pages10
JournalJournal of Research in Personality
Volume57
Early online date28 May 2015
DOIs
Publication statusPublished - 1 Aug 2015

Keywords

  • personality
  • spectral clustering
  • HEXACO
  • 5FM

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