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Mapping the Creative Personality: A Psychometric Network Analysis of Highly Creative Artists and Scientists

Authors :
Chen, Qunlin
Christensen, Alexander P.
Kenett, Yoed N.
Ren, Zhiting
Condon, David M.
Bilder, Robert M.
Qiu, Jiang
Beaty, Roger E.
Source :
Creativity Research Journal. 2023 35(3):455-470.
Publication Year :
2023

Abstract

Existing research has consistently supported a relationship between creative achievement and specific personality traits (e.g. openness to experience). However, such work has largely focused on univariate associations, potentially obscuring complex interactions among multiple personality factors, rendering an incomplete picture of the creative personality. We applied a psychometric network approach to characterize the multidimensional personality structure of highly creative individuals in the arts ("artists") and sciences ("scientists"), using data from three samples (N = 4,015): college students, a representative adult sample, and the Big-C project of eminent creative professionals. Replicating past work, we found that artists showed reliably higher levels of openness to experience compared to scientists and a control group of less creative people. Psychometric network analysis revealed that artists were characterized by higher connectivity (i.e. co-occurrence) with other personality traits for openness, indicating that openness may be more heterogeneous in how it co-occurs with other personality traits in highly creative people. Across all three samples, we found that the scientists' personality network structure was more cohesive than the personality network of artists and the control group, indicating greater homogeneity in the personality characteristics of scientists. Our findings uncover a constellation of traits that give rise to creative achievement in the arts and sciences.

Details

Language :
English
ISSN :
1040-0419 and 1532-6934
Volume :
35
Issue :
3
Database :
ERIC
Journal :
Creativity Research Journal
Notes :
https://osf.io/sqgjp/?view_only=3004da48099d480a8872ee940ba6462d
Publication Type :
Academic Journal
Accession number :
EJ1396964
Document Type :
Journal Articles<br />Reports - Research
Full Text :
https://doi.org/10.1080/10400419.2023.2184558