The DOI matches its Crossref record; 125 of the 125 references it cites were found in a registry or an index.
A dynamical model of general intelligence: The positive manifold of intelligence by mutualism.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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]
In the citing paper
“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).”
From Early-Initiated Childhood Reading for Pleasure: Associations with Better Cognitive Performance, Mental Well-being and Brain Structure in Young Adolescence (2024) · cites this paper as van der Maas et al., 2006
In the citing paper
“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
Citations
Cites
The Ecological Approach to Visual Perception
Bornstein, M. H., & Gibson, J. J. (1980) · The Journal of Aesthetics and Art Criticism · doi:10.2307/429816 · Cited by 22,935
Frames of Mind: The Theory of Multiple Intelligences
Klitgaard, R. E., & Gardner, H. (1984) · Journal of Policy Analysis and Management · doi:10.2307/3324560 · Cited by 13,639
Causality: Models, Reasoning, and Inference
Pearl, J. (2009) · doi:10.1017/cbo9780511803161 · Cited by 11,653
(1993) · Medical Entomology and Zoology · Cited by 7,690
Motivational processes affecting learning.
Dweck, C. S. (1986) · American Psychologist · doi:10.1037/0003-066x.41.10.1040 · Cited by 6,971
"General Intelligence," Objectively Determined and Measured
Spearman, C. (1904) · The American Journal of Psychology · doi:10.2307/1412107 · Cited by 6,207
Stability and Complexity in Model Ecosystems
May, R. M. (2001) · Princeton University Press eBooks · doi:10.1515/9780691206912 · Cited by 5,229
Guns, Germs, and Steel: The Fates of Human Societies.
Hardin, G., & Diamond, J. M. (1997) · Population and Development Review · doi:10.2307/2137390 · Cited by 4,983
CAUSALITY: MODELS, REASONING AND INFERENCE
Hitchcock, C., & Pearl, J. (2001) · The Philosophical Review · doi:10.2307/3182612 · Cited by 4,827
Acquisition of cognitive skill
Anderson, J. R. (1982) · Psychological Review · doi:10.1037/0033-295x.89.4.369 · Cited by 3,663
Cited by
Sorted by citations
Items 401–500 of 999
The Effects of Sustained Literacy Engagement on Cognition and Sentence Processing Among Older Adults
Stine‐Morrow, E. A. L., McCall, G. S., Manavbasi, I. E., Ng, S., Llano, D. A., & Barbey, A. K. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.923795 · Cited by 22
Tailored interventions into broad attitude networks towards the COVID-19 pandemic
Chambon, M., Dalege, J., Waldorp, L., van der Maas, H. L. J., Borsboom, D., & van Harreveld, F. (2022) · PLoS ONE · doi:10.1371/journal.pone.0276439 · Cited by 23
Dumas, D., & Edelsbrunner, P. A. (2023) · Educational Psychology Review · doi:10.1007/s10648-023-09770-0 · Cited by 20
Using Instrumental Variables to Measure Causation over Time in Cross-Lagged Panel Models
Singh, M., Verhulst, B., Vinh, P., Zhou, Y., Castro-de-Araujo, L. F. S., Hottenga, J., Pool, R., de Geus, E. J. C., Vink, J. M., Boomsma, D. I., et al. (2024) · Multivariate Behavioral Research · doi:10.1080/00273171.2023.2283634 · Cited by 18
Self-citationThe development of relational integration during childhood.
Dauvier, B., Bailleux, C., & Perret, P. (2014) · Developmental Psychology · doi:10.1037/a0036655 · Cited by 19
The comparative analysis of intelligence.
Flaim, M. E., & Blaisdell, A. P. (2020) · Psychological Bulletin · doi:10.1037/bul0000306 · Cited by 24
A Psychological Approach to Human Capital
Kell, H. J., Robbins, S. B., Su, R., & Brenneman, M. W. (2018) · ETS Research Report Series · doi:10.1002/ets2.12218 · Cited by 23
What can individual differences tell us about the specialization of function?
Rabaglia, C. D., Marcus, G., & Lane, S. P. (2011) · Cognitive Neuropsychology · doi:10.1080/02643294.2011.609813 · Cited by 19
Demetriou, A., & Spanoudis, G. (2017) · Journal of Intelligence · doi:10.3390/jintelligence5030030 · Cited by 17
Simonet, D. V., Miller, K. E., Askew, K. L., Sumner, K. E., Mortillaro, M., & Schlegel, K. (2021) · Journal of Intelligence · doi:10.3390/jintelligence9010014 · Cited by 23
Jedinger, A., & Burger, A. M. (2021) · Personality and Social Psychology Bulletin · doi:10.1177/01461672211046808 · Cited by 17
Exploratory Graph Analysis in context
Golino, H. F., Christensen, A. P., & Garrido, L. E. (2022) · Psicologia - Teoria e Prática · doi:10.5935/1980-6906/eptpic15531.en · Cited by 20
Illusory traits: Wrong but sometimes useful.
Bailey, D. H., Hübner, N., Zitzmann, S., Hecht, M., & Murayama, K. (2024) · Psychological Review · doi:10.1037/rev0000522 · Cited by 18
Cheung, A. K., Harden, K. P., & Tucker–Drob, E. M. (2015) · Developmental Psychobiology · doi:10.1002/dev.21309 · Cited by 17
McFarland, D. J. (2020) · Journal of Intelligence · doi:10.3390/jintelligence8010007 · Cited by 18
Factor or Network Model? Predictions From Neural Networks
Christensen, A. P., & Golino, H. F. (2021) · Journal of Behavioral Data Science · doi:10.35566/jbds/v1n1/p5 · Cited by 14
The Validity of Specific Cognitive Abilities for the Prediction of Training Success in Germany
Goertz, W., Hulsheger, U. R., & Maier, G. W. (2014) · Journal of Personnel Psychology · doi:10.1027/1866-5888/a000110 · Cited by 17
Implications of modern intelligence research for assessing intelligence in the workplace
Agnello, P., Ryan, R., & Yusko, K. P. (2014) · Human Resource Management Review · doi:10.1016/j.hrmr.2014.09.007 · Cited by 19
Christensen, A. P., Golino, H. F., Abad, F. J., & Garrido, L. E. (2025) · Behavior Research Methods · doi:10.3758/s13428-025-02640-3 · Cited by 24
Bulut, O., Cormier, D. C., Aquilina, A. M., & Bulut, H. C. (2021) · Journal of Intelligence · doi:10.3390/jintelligence9030035 · Cited by 16
Brandenburg, N., & Papenberg, M. (2022) · Psychological Methods · doi:10.1037/met0000527 · Cited by 20
Breit, M., Preuß, J., Scherrer, V., Moors, T., & Preckel, F. (2022) · Gifted Child Quarterly · doi:10.1177/00169862221118558 · Cited by 17
Working memory, intelligence, and life success
Mashburn, C. A., Burgoyne, A. P., & Engle, R. W. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780192849069.003.0007 · Cited by 19
Toward Understanding of the Social Hysteresis: Insights From Agent-Based Modeling
Sznajd-Weron, K., Jędrzejewski, A., & Kamińska, B. (2023) · Perspectives on Psychological Science · doi:10.1177/17456916231195361 · Cited by 16
Haig, B. D. (2023) · Perspectives on Psychological Science · doi:10.1177/17456916231195852 · Cited by 16
Zurrin, R., Wong, S. T. S., Roes, M., Percival, C. M., Chinchani, A. M., Arreaza, L., Kusi, M., Momeni, A., Rasheed, M., Mo, Z., et al. (2024) · Intelligence · doi:10.1016/j.intell.2024.101807 · Cited by 20
Integrating Intra- and Interindividual Phenomena in Psychological Theories
Borsboom, D., & Haslbeck, J. M. B. (2024) · Multivariate Behavioral Research · doi:10.1080/00273171.2024.2336178 · Cited by 23
Yuriza, P. E., Adisyahputra, A., & Sigit, D. V. (2018) · Biosfer · doi:10.21009/biosferjpb.11-1.2 · Cited by 18
Network Analysis of Competitive State Anxiety
Mullen, R., & Jones, E. S. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.586976 · Cited by 16
The issue of power in the identification of “g” with lower-order factors
Matzke, D., Dolan, C. V., & Molenaar, D. (2010) · Intelligence · doi:10.1016/j.intell.2010.02.001 · Cited by 16
Self-citationDahl, D., & Cilliers, F. (2012) · SA Journal of Human Resource Management · doi:10.4102/sajhrm.v10i2.461 · Cited by 16
Taupiac, E., Lacombe, D., Thiébaut, É., Van‐Gils, J., Michel, G., Fergelot, P., & Adrien, J. (2020) · Journal of Intellectual & Developmental Disability · doi:10.3109/13668250.2020.1776455 · Cited by 17
Robinson, M. D., & Sedikides, C. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108264822.031 · Cited by 18
Killeen, P. R., Russell, V. A., & Tannock, R. (2016) · Current Directions in Psychological Science · doi:10.1177/0963721416628530 · Cited by 16
A single g factor is not necessary to simulate positive correlations between cognitive tests
McFarland, D. J. (2012) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2011.645018 · Cited by 16
Intelligence, Where to Look, Where to Go?
de Boeck, P. A. L. (2013) · Journal of Intelligence · doi:10.3390/jintelligence1010005 · Cited by 15
The Five-Factor Model of Personality: Consensus and Controversy
McCrae, R. R. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108264822.013 · Cited by 20
Exploring the Relationship between Cognitive Ability Tilt and Job Performance
Kato, A. E., & Scherbaum, C. A. (2023) · Journal of Intelligence · doi:10.3390/jintelligence11030044 · Cited by 17
The Role of Executive Function in Reading Development and Reading Intervention
Peng, P. (2023) · Mind Brain and Education · doi:10.1111/mbe.12375 · Cited by 20
Item Response Theory for Creativity Measurement
Myszkowski, N. (2024) · Cambridge University Press eBooks · doi:10.1017/9781009239035 · Cited by 14
Intelligence and Cognitive Development: Three Sides of the Same Coin
Ribaupierre, A. D., & Lecerf, T. (2017) · Journal of Intelligence · doi:10.3390/jintelligence5020014 · Cited by 15
McLoughlin, S., Tyndall, I. T., Pereira, A., & Mulhern, T. (2020) · Journal of Cognitive Enhancement · doi:10.1007/s41465-020-00187-z · Cited by 18
Schmank, C. J., Goring, S. A., Kovacs, K., & Conway, A. R. A. (2021) · Journal of Intelligence · doi:10.3390/jintelligence9010008 · Cited by 15
Morris, T. P., Ai, M., Chaddock‐Heyman, L., McAuley, E., Hillman, C. H., & Kramer, A. F. (2021) · Journal of Cognitive Enhancement · doi:10.1007/s41465-021-00208-5 · Cited by 17
Reflections on an emerging new science of mental disorders
Borsboom, D. (2022) · Behaviour Research and Therapy · doi:10.1016/j.brat.2022.104127 · Cited by 15
Evo Devo and cognitive science
Ploeger, A., & Galis, F. F. (2011) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.137 · Cited by 17
Working Memory and Intelligence: An Overview
Andrew R. A. Conway, B. N. M. (2013) · Psychology Press eBooks · doi:10.4324/9780203094600-8 · Cited by 15
Uka, F., Gunzenhauser, C., Larsen, R., & von Suchodoletz, A. (2019) · Intelligence · doi:10.1016/j.intell.2019.05.002 · Cited by 16
Euler, M. J., & Schubert, A. (2021) · Intelligence · doi:10.1016/j.intell.2021.101569 · Cited by 14
How uniform is the structure of ability across childhood?
Dyck, M. J., Piek, J. P., Kane, R. T., & Patrick, J. C. (2008) · European Journal of Developmental Psychology · doi:10.1080/17405620701439820 · Cited by 15
Psychometric Network Model Recovery: The Effect of Sample Size, Number of Items, and Number of Nodes
Ávalos‐Tejeda, M., & Calderón, C. (2025) · European Journal of Investigation in Health Psychology and Education · doi:10.3390/ejihpe15110235 · Cited by 14
Using Bayesian Networks to Investigate Psychological Constructs: The Case of Empathy
Briganti, G., Decety, J., Scutari, M., McNally, R. J., & Linkowski, P. (2022) · Psychological Reports · doi:10.1177/00332941221146711 · Cited by 18
Sorjonen, K., Ingre, M., Nilsonne, G., & Melin, B. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e15746 · Cited by 14
Causal complexity and psychological measurement
Eronen, M. I. (2024) · Philosophical Psychology · doi:10.1080/09515089.2023.2300693 · Cited by 15
Unveiling the cognitive network organization through cognitive performance
Borne, A., Lemaitre, C., Bulteau, C., Baciu, M. V., & Perrone‐Bertolotti, M. (2024) · Scientific Reports · doi:10.1038/s41598-024-62234-5 · Cited by 14
Csípő, T., Lipécz, Á., Mukli, P., Péterfi, A., Szarvas, Z., Ungvari, A., Alaoui, L. E., Sándor, M., Kállai, A., Fekete, M., et al. (2024) · GeroScience · doi:10.1007/s11357-024-01447-y · Cited by 15
Thinking as Analogy-Making: Toward a Neural Process Account of General Intelligence
Theves, S. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.1555-24.2025 · Cited by 15
I–O Psychology and Progressive Research Programs on Intelligence
Lang, J. W. B., & Bliese, P. D. (2012) · Industrial and Organizational Psychology · doi:10.1111/j.1754-9434.2012.01423.x · Cited by 14
Associations Between Manual Dexterity and Language Ability in School-Age Children
Obeid, R., & Brooks, P. J. (2018) · Language Speech and Hearing Services in Schools · doi:10.1044/2018_lshss-17-0124 · Cited by 17
Molenaar, D., Bolsinova, M. A., Rózsa, S., & de Boeck, P. A. L. (2016) · Journal of Intelligence · doi:10.3390/jintelligence4030010 · Cited by 14
Aligning Predictor-Criterion Bandwidths: Specific Abilities as Predictors of Specific Performance
Wee, S. (2018) · Journal of Intelligence · doi:10.3390/jintelligence6030040 · Cited by 15
McLoughlin, S., Tyndall, I. T., & Pereira, A. (2020) · Journal of Behavioral Education · doi:10.1007/s10864-020-09399-x · Cited by 16
Kruis, J., Maris, G., Marsman, M., Bolsinova, M. A., & van der Maas, H. L. J. (2020) · Scientific Reports · doi:10.1038/s41598-020-73181-2 · Cited by 14
The Evolution of Primate General and Cultural Intelligence*
Reader, S. M., Hager, Y., & Laland, K. N. (2011) · Oxford University Press eBooks · doi:10.1093/acprof:osobl/9780199608966.003.0009 · Cited by 16
Moving toward a Unified Theory While Valuing the Importance of the Initial Conditions
Spencer, J. P., Dineva, E., & Schöner, G. (2009) · doi:10.1093/acprof:oso/9780195300598.003.0018 · Cited by 14
Deserno, M. K., Sachisthal, M. S. M., Epskamp, S., & Raijmakers, M. E. J. (2021) · doi:10.31234/osf.io/ngfxq · Cited by 14
Self-citationNetworks of Beliefs: An Integrative Theory of Individual- and Social-Level Belief DynamicsPreprint
Dalege, J., Galešić, M., & Olsson, H. (2023) · doi:10.31219/osf.io/368jz · Cited by 14
Sankalaite, S., Huizinga, M., Pollé, S., Xu, C., de Vries, N., Hens, E., & Baeyens, D. (2023) · Education Sciences · doi:10.3390/educsci13111149 · Cited by 35
Measurement targets for network constructs in psychopathology
van Bork, R., Lunansky, G., & Borsboom, D. (2024) · Measurement · doi:10.1016/j.measurement.2024.114643 · Cited by 18
Benson, N. F., Hulac, D., & Bernstein, J. D. (2013) · Psychological Assessment · doi:10.1037/a0032298 · Cited by 13
A skills network approach to physicians’ competence in shared decision making
Kriston, L., Hahlweg, P., Härter, M. C., & Scholl, I. (2020) · Health Expectations · doi:10.1111/hex.13130 · Cited by 15
Gignac, G. E. (2016) · Intelligence · doi:10.1016/j.intell.2016.01.007 · Cited by 15
Reconceptualizing adult attachment relationships: A network perspective
McWilliams, L. A., & Fried, E. I. (2019) · Personal Relationships · doi:10.1111/pere.12263 · Cited by 15
Panayiotou, M., Santos, J., Black, L., & Humphrey, N. (2020) · Assessment · doi:10.1177/1073191120971351 · Cited by 16
Burch, G. S. J., & Anderson, N. R. (2012) · Cambridge University Press eBooks · doi:10.1017/cbo9780511596544.046 · Cited by 13
Decker, S. L., Englund, J. A., & Roberts, A. M. (2012) · Applied Neuropsychology Child · doi:10.1080/21622965.2012.737760 · Cited by 13
Productive Explanation: A Framework for Evaluating Explanations in Psychological SciencePreprint
van Dongen, N. N. N., van Bork, R., Finnemann, A., van der Maas, H. L. J., Robinaugh, D. J., Haslbeck, J. M. B., de Ron, J., Sprenger, J., & Borsboom, D. (2022) · doi:10.31234/osf.io/qd69g · Cited by 13
Hofman, A. D., Brinkhuis, M. J. S., Bolsinova, M. A., Klaiber, J., Maris, G., & van der Maas, H. L. J. (2020) · Journal of Intelligence · doi:10.3390/jintelligence8010010 · Cited by 12
Santiago, P. H. R., Soares, G. H., Quintero, A., & Jamieson, L. (2024) · Behavior Research Methods · doi:10.3758/s13428-024-02415-2 · Cited by 18
g: Formative, reflective, or both?
Kazali, E., Spanoudis, G., & Demetriou, A. (2024) · Intelligence · doi:10.1016/j.intell.2024.101870 · Cited by 12
Mind-Personality Relations from Childhood to Early Adulthood
Δημητρίου, Α., Spanoudis, G. C., Žebec, M. S., Ανδρέου, Μ., Golino, H. F., & Kazi, S. (2018) · Journal of Intelligence · doi:10.3390/jintelligence6040051 · Cited by 14
This is the way: Network perspective on targets for spatial ability development programmes
Likhanov, M. V., Павловна, М. Е., Costantini, G., Budakova, A. V., Есипенко, Е. А., Ismatullina, V. I., & Kovas, Y. V. (2022) · British Journal of Educational Psychology · doi:10.1111/bjep.12524 · Cited by 13
Transitions in cognitive development: prospects and limitations of a neural dynamic approach
van der Maas, H. L. J., & Raijmakers, M. (2009) · doi:10.1093/acprof:oso/9780195300598.003.0015 · Cited by 12
Self-citationAnderson, M. (2017) · Journal of Intelligence · doi:10.3390/jintelligence5020024 · Cited by 15
A note on the positive manifold hypothesis
Borg, I. (2018) · Personality and Individual Differences · doi:10.1016/j.paid.2018.05.041 · Cited by 12
Ian Deary and Robert Sternberg answer five self-inflicted questions about human intelligence
Deary, I. J., & Sternberg, R. J. (2021) · Intelligence · doi:10.1016/j.intell.2021.101539 · Cited by 16
Mapping Individual Variations in Learning Capacity
Mercado, E. (2011) · International Journal of Comparative Psychology · doi:10.46867/ijcp.2011.24.01.07 · Cited by 12
Evolving networks of human intelligence
Savi, A. O., Marsman, M., & van der Maas, H. L. J. (2021) · Intelligence · doi:10.1016/j.intell.2021.101567 · Cited by 11
Aristodemou, M., Kievit, R., Murray, A. L., Eisner, M., Ribeaud, D., & Fried, E. I. (2023) · Clinical Psychological Science · doi:10.1177/21677026231162814 · Cited by 15
Quantifying the stability landscapes of psychological networks
Cui, J., Lunansky, G., Lichtwarck‐Aschoff, A., Mendoza, N. B., & Hasselman, F. (2026) · Behavior Research Methods · doi:10.3758/s13428-025-02917-7 · Cited by 13
Reciprocal effects between reading comprehension and emotional cognitive ability
Wenren, S., Ding, W., Wang, Z., Xia, Y. Y., Xie, R., & Li, W. (2023) · Learning and Individual Differences · doi:10.1016/j.lindif.2023.102398 · Cited by 20
Beyond the factor indeterminacy problem using genome-wide association data
Sullivan, M. L. C., Schwaba, T., Harden, K. P., Grotzinger, A. D., Nivard, M. G., & Tucker–Drob, E. M. (2024) · Nature Human Behaviour · doi:10.1038/s41562-023-01789-1 · Cited by 13
Ferrer, E. E. (2016) · Multivariate Behavioral Research · doi:10.1080/00273171.2016.1140629 · Cited by 11
Blasco‐Belled, A. (2022) · Current Psychology · doi:10.1007/s12144-022-03598-7 · Cited by 12
Cáncer, P. F., & Estrada, E. (2023) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1080/10705511.2022.2161906 · Cited by 9
Conte, F. P., Costantini, G., Rinaldi, L., Gerosa, T., & Girelli, L. (2020) · Intelligence · doi:10.1016/j.intell.2020.101466 · Cited by 12
Evolutionary Personality Psychology
Lewis, D. M. G., Al-Shawaf, L., & Buss, D. M. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108264822.022 · Cited by 11
Deserno, M. K., Fuhrmann, D., Begeer, S., Borsboom, D., Geurts, H. M., & Kievit, R. (2022) · Autism · doi:10.1177/13623613221086448 · Cited by 13
Rethinking Disorders of Spoken and Written Language: Generating Workable Hypotheses
Grigorenko, E. L. (2007) · Journal of Developmental & Behavioral Pediatrics · doi:10.1097/dbp.0b013e31811ff895 · Cited by 11
A network analytic approach to measuring emotional granularityPreprint
Hoemann, K., Fan, M., Engen, H. G., Chou, C.-A., Quigley, K. S., Gendron, M., & Barrett, L. F. (2020) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/yt9cv · Cited by 16
Metadata
- 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)
- ORCID
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review