PERSONALITY TYPES ON NEW GROUND: LATENT PROFILE ANALYSIS BASED ON THREE PSYCHOLEXICAL MODELS OF PERSONALITY

Authors

  • Selka Sadiković Department of Psychology, Faculty of Philosophy, University of Novi Sad
  • Dina Fesl Department of Psychology, Faculty of Philosophy, University of Novi Sad
  • Petar Čolović Department of Psychology, Faculty of Philosophy, University of Novi Sad

DOI:

https://doi.org/10.19090/pp.2016.1.41-61

Keywords:

personality types, person centered approach, latent profile analysis

Abstract

The aim of the research was to determine the number, characteristics, and the level of convergence of personality types extracted in the space of the three psycho-lexical conceptualizations of personality – The Big Five, HEXACO, and The Big Seven. The study was conducted on a sample consisting of 343 participants (55.7% female), aged 18–60 (M = 33.99). The participants completed the IPIP-50 (Big Five model operationalization), IPIP-HEXACO (HEXACO model operationalization) and the BF+2-70 (short version of the questionnaire for assessing seven lexical dimensions in Serbian language) questionnaires. Latent profile analysis was conducted in the space of dimension scores of the three questionnaires. The Bayesian information criterion suggested three-class solution to be optimal in the space of all three questionnaires. Analyzing the structure of latent profiles, the classes within the three models were interpreted as “resilient”, “reserved”, and “maladjusted”. The congruency of classes was analyzed by multiple correspondence analyses, which indicated a high convergence of types in the two-dimensional space. Results indicate a distinct similarity between the extracted profiles with the profiles from previous studies, generally pointing towards the stability of the three big personality prototypes.

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Published

07.04.2016

How to Cite

Sadiković, S., Fesl, D., & Čolović, P. (2016). PERSONALITY TYPES ON NEW GROUND: LATENT PROFILE ANALYSIS BASED ON THREE PSYCHOLEXICAL MODELS OF PERSONALITY. Primenjena Psihologija, 9(1), 41–61. https://doi.org/10.19090/pp.2016.1.41-61

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