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      Assessing the Structure of the Five Factor Model of Personality (IPIP-NEO-120) in the Public Domain

      research-article
      * , a , b , c , d
      Europe's Journal of Psychology
      PsychOpen
      personality, structure, Five Factor Model, IPIP

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          Abstract

          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.

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          Most cited references34

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          Meta-analysis of the heritability of human traits based on fifty years of twin studies.

          Despite a century of research on complex traits in humans, the relative importance and specific nature of the influences of genes and environment on human traits remain controversial. We report a meta-analysis of twin correlations and reported variance components for 17,804 traits from 2,748 publications including 14,558,903 partly dependent twin pairs, virtually all published twin studies of complex traits. Estimates of heritability cluster strongly within functional domains, and across all traits the reported heritability is 49%. For a majority (69%) of traits, the observed twin correlations are consistent with a simple and parsimonious model where twin resemblance is solely due to additive genetic variation. The data are inconsistent with substantial influences from shared environment or non-additive genetic variation. This study provides the most comprehensive analysis of the causes of individual differences in human traits thus far and will guide future gene-mapping efforts. All the results can be visualized using the MaTCH webtool.
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            The international personality item pool and the future of public-domain personality measures

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              The Power of Personality: The Comparative Validity of Personality Traits, Socioeconomic Status, and Cognitive Ability for Predicting Important Life Outcomes.

              The ability of personality traits to predict important life outcomes has traditionally been questioned because of the putative small effects of personality. In this article, we compare the predictive validity of personality traits with that of socioeconomic status (SES) and cognitive ability to test the relative contribution of personality traits to predictions of three critical outcomes: mortality, divorce, and occupational attainment. Only evidence from prospective longitudinal studies was considered. In addition, an attempt was made to limit the review to studies that controlled for important background factors. Results showed that the magnitude of the effects of personality traits on mortality, divorce, and occupational attainment was indistinguishable from the effects of SES and cognitive ability on these outcomes. These results demonstrate the influence of personality traits on important life outcomes, highlight the need to more routinely incorporate measures of personality into quality of life surveys, and encourage further research about the developmental origins of personality traits and the processes by which these traits influence diverse life outcomes.
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                Author and article information

                Journal
                Eur J Psychol
                Eur J Psychol
                EJOP
                Europe's Journal of Psychology
                PsychOpen
                1841-0413
                June 2019
                07 June 2019
                : 15
                : 2
                : 260-275
                Affiliations
                [a ]Department of Psychology, University of Gothenburg, Gothenburg, Sweden
                [b ]Department of Psychology, University West, Trollhättan, Sweden
                [c ]Department of Cognitive Neuroscience and Philosophy, University of Skövde, Skövde, Sweden
                [d ]Department of Psychology, Pennsylvania State University, State College, USA
                [5]Webster University Geneva, Geneva, Switzerland
                Author notes
                [* ]Department of Psychology, University of Gothenburg, P.O. Box 500, SE 405 30 Göteborg, Sweden. petri.kajonius@ 123456hv.se
                Article
                ejop.v15i2.1671
                10.5964/ejop.v15i2.1671
                7871748
                33574954
                6a94b920-9ddf-435e-9bb7-b461ede042e7
                Copyright @ 2019

                This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY) 4.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 01 June 2018
                : 01 October 2018
                Categories
                Research Reports

                personality,structure,five factor model,ipip
                personality, structure, five factor model, ipip

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