Is there a G factor for metacognition? Correlations in retrospective metacognitive sensitivity across tasks.
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) were significant, even for pairs of tasks in which first-order performance was not correlated. This suggests that at least some components of metacognitive efficiency in retrospective confidence are domain general. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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The accuracy of reflective judgments shares variance with other forms of metacognitive sensitivity rather than variance in IQ.
“The accuracy of such reflective judgments shares variance with other forms of metacognitive sensitivity rather than variance in IQ (Mazancieux et al. 2020, Rouault et al. 2018a).”
From Metacognition and Confidence: A Review and Synthesis (2024) · cites this paper as Mazancieux et al. 2020
The Results (Metacognitive Efficiency; page unavailable) report covariance in metacognitive efficiency across five of six task pairings, supporting shared variance in the accuracy of retrospective confidence judgments. The paper says this covariance is unlikely to be an artifact of first-order task performance, but our copy does not report an IQ comparison; that part of the claim is unsupported. (LLM, conf=0.89)
Experimental — accuracy not yet measuredMetacognitive capacity (measured as the noise in metacognitive judgments relative to performance) covaries across perceptual and cognitive tasks, suggesting a global resource for monitoring self-performance.
“There is also emerging evidence that metacognitive capacity (measured as the noise in metacognitive judgments relative to performance) covaries across perceptual and cognitive tasks, suggesting the existence of a global resource that is leveraged to monitor self-performance (Boundy-Singer et al. 2023, Mazancieux et al. 2020, Rouault et al. 2018b).”
From Metacognition and Confidence: A Review and Synthesis (2024) · cites this paper as Mazancieux et al. 2020
Individual differences in metacognitive efficiency are correlated across distinct task domains, after controlling for correlations in performance.
“Behaviorally, individual differences in metacognitive efficiency have been shown to be correlated across distinct task domains, after controlling for correlations in performance (Ais et al. 2016, Faivre et al. 2018, Mazancieux et al. 2020, Rouault et al. 2018b).”
From Metacognition and Confidence: A Review and Synthesis (2024) · cites this paper as Mazancieux et al. 2020
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- Authors
- Mazancieux, A., Fleming, S. M., Souchay, C., & Moulin, C. J. A.
- Affiliations
- Laboratoire de Psychologie et NeuroCognition (FR)
- Wellcome Centre for Human Neuroimaging (GB)
- Corresponding author
- Mazancieux, Audrey
- Venue
- Journal of Experimental Psychology: General
- Published
- 2020-09
- Volume
- 149
- Issue
- 9
- Pages
- 1788-1799
- ISSN
- 0096-3445 (ISSN-L)
- 1939-2222
- PMC
- PMC7397761
- OpenAlex
- W3011402148
- Cited by
- 131
- References
- 39
- Citations by year
- 2026: 11 · 2025: 19 · 2024: 30 · 2023: 26 · 2022: 22 · 2021: 16 · 2020: 6
- FWCI
- 9.41
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Experimental Psychology General (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Funders
- University Grenoble Alpes
- Institut Universitaire de France
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Keywords
- metacognition, metacognitive sensitivity, metacognitive efficiency, domain generality, general intelligence
- MeSH terms
- Metacognition, Adolescent, Bayes Theorem, Female, Humans, Judgment, Male, Memory, Neuropsychological Tests, Retrospective Studies, Visual Perception, Young Adult, Executive Function
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.
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