Testing the personality differentiation by intelligence hypothesis in a representative sample of Swedish hexagenerians
2022 (English)In: Journal of Research in Personality, ISSN 0092-6566, E-ISSN 1095-7251, Vol. 99, article id 104242Article in journal (Refereed) Published
Abstract [en]
The Personality Differentiation by Intelligence Hypothesis (PDIH) predicts larger trait-variances, and smaller across-trait covariances for individuals with higher intelligence. We tested these predictions using multiple-group confirmatory factor analyses (MG-CFA), while controlling for the potential confound of systematic method variance related to reversed items using a correlated trait, correlated method (CTCM) approach. Participants between the ages of 62 and 68 completed measures of personality (Mini-IPIP: Donnellan et al., 2006) and intelligence (Raven APM-12: Arthur & Day, 1994). After establishing strict measurement invariance (MI), we found no support for larger variances, and only minor support for lower trait covariances as related to higher intelligence. Overall, the findings provide scant support for the PDIH when controlling for systematic method variance.
Place, publisher, year, edition, pages
Academic Press, 2022. Vol. 99, article id 104242
Keywords [en]
Personality Differentiation by Intelligence; MG-CFA; Big Five; Intelligence
National Category
Psychology (excluding Applied Psychology)
Identifiers
URN: urn:nbn:se:hv:diva-19211DOI: 10.1016/j.jrp.2022.104242ISI: 000813345000004Scopus ID: 2-s2.0-85130602533OAI: oai:DiVA.org:hv-19211DiVA, id: diva2:1698930
Funder
Swedish Research Council, Dnr: 2013-2291Forte, Swedish Research Council for Health, Working Life and Welfare, AGECAP, 2013-2300Riksbankens Jubileumsfond, RJ P21-0112
Note
The analyses were based on data from the research project HEARTS at the University of Gothenburg, financed by the Swedish Research Council for Health, Working Life and Welfare (FORTE; Dnr: 2013-2291). Work on this paper was supported by grants from FORTE to the Centre of Ageing and Health (AGECAP, 2013-2300), Riksbankens Jubileumsfond (RJ P21-0112), and from the Swedish Research Council (VR) for the National E-Infrastructure for Ageing Research (NEAR).
2022-09-262022-09-262023-08-28