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Cognitive ability and personality: Testing broad to nuanced associations with a smartphone app

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  • Rozgonjuk, Dmitri
  • Schmitz, Florian
  • Kannen, Christopher
  • Montag, Christian

Abstract

The present work provides robust insights into how cognitive ability is correlated to personality traits. We investigated how cognitive ability (operationalized as facets of working memory capacity) is linked to the Big Five personality traits on broader domain- and facet-levels, as well as with individual personality inventory items. The effective sample comprised 1211 people (55% female; age M = 31.39, SD = 11.76) who participated in the study via a smartphone application where they filled out a personality test, and solved six working memory capacity tasks (based on two binding paradigms with different stimulus types). In addition to bivariate analyses, we used network analysis to model cognitive ability in relation to personality on different aggregation levels. We found that Openness, its facet Intellectual and some items of the Openness domain were consistently associated with cognitive ability tasks. While some of the earlier findings were replicated, we also provide novel findings with robust methodology across different levels of personality and by differentiating the facets of cognition. All in all, personality is not substantially correlated with cognitive ability, and the links with Openness are weak.

Suggested Citation

  • Rozgonjuk, Dmitri & Schmitz, Florian & Kannen, Christopher & Montag, Christian, 2021. "Cognitive ability and personality: Testing broad to nuanced associations with a smartphone app," Intelligence, Elsevier, vol. 88(C).
  • Handle: RePEc:eee:intell:v:88:y:2021:i:c:s0160289621000623
    DOI: 10.1016/j.intell.2021.101578
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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).
    2. Fath, Brian D., 2007. "Network mutualism: Positive community-level relations in ecosystems," Ecological Modelling, Elsevier, vol. 208(1), pages 56-67.
    3. Steger, Diana & Schroeders, Ulrich & Wilhelm, Oliver, 2019. "On the dimensionality of crystallized intelligence: A smartphone-based assessment," Intelligence, Elsevier, vol. 72(C), pages 76-85.
    4. Kan, Kees-Jan & van der Maas, Han L.J. & Levine, Stephen Z., 2019. "Extending psychometric network analysis: Empirical evidence against g in favor of mutualism?," Intelligence, Elsevier, vol. 73(C), pages 52-62.
    5. Aickin, M. & Gensler, H., 1996. "Adjusting for multiple testing when reporting research results: The Bonferroni vs Holm methods," American Journal of Public Health, American Public Health Association, vol. 86(5), pages 726-728.
    6. Eileen K. Graham & Margie E. Lachman, 2012. "Personality Stability Is Associated With Better Cognitive Performance in Adulthood: Are the Stable More Able?," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 67(5), pages 545-554.
    7. Trapp, Stefanie & Blömeke, Sigrid & Ziegler, Matthias, 2019. "The openness-fluid-crystallized-intelligence (OFCI) model and the environmental enrichment hypothesis," Intelligence, Elsevier, vol. 73(C), pages 30-40.
    8. Joseph Henrich & Steven J. Heine & Ara Norenzayan, 2010. "Most people are not WEIRD," Nature, Nature, vol. 466(7302), pages 29-29, July.
    Full references (including those not matched with items on IDEAS)

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