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A facet atlas: Visualizing networks that describe the blends, cores, and peripheries of personality structure

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  • Ted Schwaba
  • Mijke Rhemtulla
  • Christopher J Hopwood
  • Wiebke Bleidorn

Abstract

We created a facet atlas that maps the interrelations between facet scales from 13 hierarchical personality inventories to provide a practically useful, transtheoretical description of lower-level personality traits. We generated this atlas by estimating a series of network models that visualize the correlations among 268 facet scales administered to the Eugene-Springfield Community Sample (Ns = 571–948). As expected, most facets contained a blend of content from multiple Big Five domains and were part of multiple Big Five networks. We identified core and peripheral facets for each Big Five domain. Results from this study resolve some inconsistencies in facet placement across instruments and highlight the complexity of personality structure relative to the constraints of traditional hierarchical models that impose simple structure. This facet atlas (also available as an online point-and-click app at tedschwaba.shinyapps.io/appdata/) provides a guide for researchers who wish to measure a domain with a limited set of facets as well as information about the core and periphery of each personality domain. To illustrate the value of a facet atlas in applied and theoretical settings, we examined the network structure of scales measuring impulsivity and tested structural hypotheses from the Big Five Aspect Scales inventory.

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  • Ted Schwaba & Mijke Rhemtulla & Christopher J Hopwood & Wiebke Bleidorn, 2020. "A facet atlas: Visualizing networks that describe the blends, cores, and peripheries of personality structure," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-21, July.
    • Handle: RePEc:plo:pone00:0236893
    DOI: 10.1371/journal.pone.0236893
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    References listed on IDEAS

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    1. Epskamp, Sacha & Cramer, Angélique O.J. & Waldorp, Lourens J. & Schmittmann, Verena D. & Borsboom, Denny, 2012. "qgraph: Network Visualizations of Relationships in Psychometric Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i04).
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    1. S. Di Luozzo & A. Fronzetti Colladon & M. M. Schiraldi, 2024. "Decoding excellence: Mapping the demand for psychological traits of operations and supply chain professionals through text mining," Papers 2403.17546, arXiv.org.

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