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Beyond the Intellect: Complexity and learning trajectories in Raven’s Progressive Matrices depend on self-regulatory processes and conative dispositions

Birney, D.P.; Beckmann, J.F.; Beckmann, N.; Double, K.

Beyond the Intellect: Complexity and learning trajectories in Raven’s Progressive Matrices depend on self-regulatory processes and conative dispositions Thumbnail


Authors

D.P. Birney

K. Double



Abstract

The Raven's Progressive Matrices (RPM) test entails a 40-min contextualized interaction with a set of progressively difficult cognitive activities. Item-to-item experiences accumulate to total scores determined by, and reflective of, cognitive abilities. The current research is interested in what happens during those 40 min. Personality (Openness, Extraversion and Neuroticism) and metacognitive factors have consistently been associated, albeit at low levels, with performance. 252 industry managers completed, inter alia, the RPM either with or without confidence ratings. Using multi-level modeling and controlling for general ability, we investigate whether a) experiential factors emerge in individual performance trajectories, b) whether trajectories are associated with cognitive and personality factors, and c) whether requirements to externalize metacognitive reflection (provide confidence ratings) links to performance. Results suggest that metacognitive reflection impeded performance; that learning trajectories are separable from performance trajectories; and that trajectories are statistically moderated, most notably by Neuroticism, over and above cognitive ability. Modeling item-level responses following experimental manipulations that serve as a catalyst for modifying cognition-personality relations, provides an important avenue for integrating experimental and differential methods. Psychometric complexity (ψC) and psychometric learning (ψL) are proposed as theoretically derived empirical bases to ground investigations of statistical moderation. Together they may provide a bridge to causal accounts of the divide between intelligence and personality.

Citation

Birney, D., Beckmann, J., Beckmann, N., & Double, K. (2017). Beyond the Intellect: Complexity and learning trajectories in Raven’s Progressive Matrices depend on self-regulatory processes and conative dispositions. Intelligence, 61, 63-77. https://doi.org/10.1016/j.intell.2017.01.005

Journal Article Type Article
Acceptance Date Jan 21, 2017
Online Publication Date Feb 7, 2017
Publication Date 2017-03
Deposit Date Jan 24, 2017
Publicly Available Date Feb 7, 2019
Journal Intelligence
Print ISSN 0160-2896
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 61
Pages 63-77
DOI https://doi.org/10.1016/j.intell.2017.01.005
Public URL https://durham-repository.worktribe.com/output/1387636

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