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Assessing the Structure of the Five Factor Model of Personality (IPIP-NEO-120) in the Public Domain
University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre. Department of Psychology, University of Gothenburg, Gothenburg, Sweden / Department of Psychology, University West, Trollhättan, Sweden. (Kognitiv neurovetenskap och filosofi, Consciousness and Cognitive Neuroscience)ORCID iD: 0000-0003-0629-353X
Department of Psychology, Pennsylvania State University, State College, USA.
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.

Place, publisher, year, edition, pages
PsychOpen , 2019. Vol. 15, no 2, p. 260-275
Keywords [en]
personality, structure, Five Factor Model, IPIP
National Category
Psychology (excluding Applied Psychology)
Research subject
Consciousness and Cognitive Neuroscience
Identifiers
URN: urn:nbn:se:his:diva-16382DOI: 10.5964/ejop.v15i2.1671ISI: 000470731400006Scopus ID: 2-s2.0-85068748812OAI: oai:DiVA.org:his-16382DiVA, id: diva2:1262342
Available from: 2018-11-11 Created: 2018-11-11 Last updated: 2019-08-06

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Kajonius, Petri

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