State of the aRt personality research: A tutorial on network analysis of personality data in R |
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| Affiliation: | 1. Universidade Salgado de Oliveira, Brazil;2. University of Nicosia, Cyprus;1. Department of Medical Psychology and Medical Sociology, University Medical Center Leipzig, Philipp-Rosenthal-Strasse 55, 04103 Leipzig, Germany;2. Clinical Psychology Unit, Leiden University, Leiden, the Netherlands;3. Institute and Outpatients Clinic of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany;1. Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy;2. Department of Medicine, Surgery and Dentistry ''Scuola Medica Salernitana'', Section of Neurosciences, University of Salerno, Salerno, Italy;3. Department of Neurosciences, University of Padua, Padua, Italy;4. Advanced Medical and Surgical Sciences Department, University of Campania “Luigi Vanvitelli”, Naples, Italy |
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| Abstract: | 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. |
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| Keywords: | Network analysis Psychometrics Latent variables Centrality Clustering Personality traits HEXACO |
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