State of the aRt personality research: : A tutorial on network analysis of personality data in R

• Autores: Giulio Costantini, Sacha Epskamp, Denny Borsboom, Marco Perugini, René Mõttus, Lourens J. Waldorp, Angélique O.J. Cramer
• Localización: Journal of Research in Personality, ISSN-e 1095-7251, Vol. 54, Nº. 1, 2015, págs. 13-29
• Idioma: inglés
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• Dialnet Métricas: 6 Citas
• Resumen

  • Network analysis represents a novel theoretical approach to personality. Network approaches motivate alternative ways of analyzing data, and suggest new ways of modeling and simulating personality processes. In the present paper, we provide an overview of network analysis strategies as they apply to personality data. We discuss different ways to construct networks from typical personality data, show how to compute and interpret important measures of centrality and clustering, and illustrate how one can simulate on networks to mimic personality processes. All analyses are illustrated using a data set on the commonly used HEXACO questionnaire using elementary R-code that readers may easily adapt to apply to their own data.