Cited by 1,006Cognitive Abilities and TestingPsychometric Methodologies and TestingCreativity in Education and Neuroscience

A dynamical model of general intelligence: The positive manifold of intelligence by mutualism.

Van Der Maas, Han L. J., Dolan, Conor V., Grasman, Raoul P. P. P., Wicherts, Jelte M., Huizenga, Hilde M., Raijmakers, Maartje E. J.·2006·Psychological Review

Abstract

Scores on cognitive tasks used in intelligence tests correlate positively with each other, that is, they display a positive manifold of correlations. The positive manifold is often explained by positing a dominant latent variable, the g factor, associated with a single quantitative cognitive or biological process or capacity. In this article, a new explanation of the positive manifold based on a dynamical model is proposed, in which reciprocal causation or mutualism plays a central role. It is shown that the positive manifold emerges purely by positive beneficial interactions between cognitive processes during development. A single underlying g factor plays no role in the model. The model offers explanations of important findings in intelligence research, such as the hierarchical factor structure of intelligence, the low predictability of intelligence from early childhood performance, the integration/differentiation effect, the increase in heritability of g, and the Jensen effect, and is consistent with current explanations of the Flynn effect.

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Crossref · 10.1037/0033-295x.113.4.842

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125 of 125 references verified0 citation errors · 0 not checkable

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  • As dynamic effects can amplify over developmental time, they are nonetheless worth understanding and addressing with care.

    “However, as dynamic effects can amplify over developmental time44, they are nonetheless worth understanding and addressing with care.”

    From Windows of developmental sensitivity to social media (2022) · cites this paper as [44]

  • Overall cognitive capacities including crystallized and fluid composites have modest associations with each other and can be summarized by a higher-order common factor (general intelligence).

    “overall cognitive capacities including crystallized and fluid composites, despite there being distinctions between them, have modest associations with each other, and can be summarized by a higher-order common factor (general intelligence) (Lovden, Fratiglioni, Glymour, Lindenberger, & Tucker-Drob, 2020; Lubinski, 2004; van der Maas et al., 2006).”
  • The network approach does not assume an a priori structure of motivation factors; it uses bidirectional partial correlations between variables in empirical data, and clusters of variables that can be interpreted as constructs may emerge.

    “The network approach is different; it does not assume an a priori structure of motivation factors.Instead, it uses the (bidirectional) partial correlations between variables in empirical data and in doing so clusters of variables which can be interpreted as constructs may emerge.”

    From Motivation-Achievement Cycles in Learning: a Literature Review and Research Agenda (2022) · cites this paper as van der Maas et al., 2006

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Authors
Van Der Maas, H. L. J., Dolan, C. V., Grasman, R. P. P. P., Wicherts, J. M., Huizenga, H. M., & Raijmakers, M. E. J.
Affiliations
University of Amsterdam (NL)
Venue
Psychological Review
Published
2006
Volume
113
Issue
4
Pages
842-861
ISSN
  • 0033-295X (ISSN-L)
  • 1939-1471
OpenAlex
W2100107646
Cited by
1,006
References
125
Citations by year
2026: 54 · 2025: 53 · 2024: 66 · 2023: 79 · 2022: 79 · 2021: 78 · 2020: 128 · 2019: 61 · 2018: 64 · 2017: 45 · 2016: 45 · 2015: 54 · 2014: 35 · 2013: 28 · 2012: 36
FWCI
20.32
Type
journal article
Language
en
Open access
closed
Locations
  • Psychological Review (publishedVersion)
  • PubMed (publishedVersion)
  • UvA-DARE (University of Amsterdam) (publishedVersion)
  • UvA-DARE (University of Amsterdam) (submittedVersion)
  • VU Research Portal (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Creativity in Education and Neuroscience
Keywords
general intelligence, dynamic modeling, mutualism, reciprocal causation, cognitive processes, hierarchical factor structure, heritability of intelligence, Flynn effect
MeSH terms
Humans, Intelligence, Models, Psychological, Psychology

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