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Assessing the structure of the five factor model of personality (IPIP-NEO-120) in the public domain
University West, Department of Social and Behavioural Studies, Division of Psychology, Pedagogy and Sociology. University of Gothenburg, Department of Psychology, Gothenburg, Sweden; University of Skövde, Department of Cognitive Neuroscience and Philosophy, University of Skövde, Skövde, Sweden.ORCID iD: 0000-0003-0629-353X
Pennsylvania State University, State College, Department of Psychology, United States.
2019 (English)In: Europe's Journal of Psychology, ISSN 1841-0413, E-ISSN 1841-0413, Vol. 15, no 2, p. 260-275Article in journal (Refereed) Published
Abstract [en]

Assessment of individual differences in personality traits is arguably one of the hallmarks of psychological research. Testing the structural validity of trait measurements is paramount in this endeavor. In the current study, we investigated 30 facet traits in one of the accessible and comprehensive public-domain Five Factor Model (FFM) personality inventories, IPIP-NEO-120 (Johnson, 2014), using one of the largest US samples to date (N = 320,128). We present structural loadings for all trait facets organized into respective FFM-trait domain (Neuroticism, Extraversion, Openness, Agreeableness, and Conscientiousness). Both hierarchical second-order and bi-factor models showed tolerable model fit indices, using confirmatory factor analysis in a structural equation modeling (SEM) framework. Some facet traits were substantially more representative than others for their respective trait domain, which facilitate further discussions on FFM-construct content. We conclude that IPIP-NEO is sufficiently structurally robust for future use, for the benefit of research and practice in personality assessment. © 2019, PsychOpen. All rights reserved.

Place, publisher, year, edition, pages
PsychOpen , 2019. Vol. 15, no 2, p. 260-275
National Category
Psychology
Research subject
SOCIAL SCIENCE, Psychology
Identifiers
URN: urn:nbn:se:hv:diva-14479DOI: 10.5964/ejop.v15i2.1671Scopus ID: 2-s2.0-85068748812OAI: oai:DiVA.org:hv-14479DiVA, id: diva2:1356864
Available from: 2019-10-02 Created: 2019-10-02 Last updated: 2019-10-02

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