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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 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
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“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
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“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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Citations
Cites
Metacognition and cognitive monitoring: A new area of cognitive–developmental inquiry
Flavell, J. H. (1979) · American Psychologist · doi:10.1037/0003-066x.34.10.906 · Cited by 11,282 · cited 2×
“Keywords: metacognition, metamemory, monitoring, confidence judgments, domain-general processes Supplemental materials: http://dx.doi.org/10.1037/xge0000746.supp Metacognition refers to the ability to monitor and control cognitive processes (Flavell, 1979).”
BackgroundInfluentialJAGS: A program for analysis of Bayesian graphical models using Gibbs sampling
Plummer, M. (2003) · Cited by 4,720
The Nature of Recollection and Familiarity: A Review of 30 Years of Research
Yonelinas, A. P. (2002) · Journal of Memory and Language · doi:10.1006/jmla.2002.2864 · Cited by 3,840
At what sample size do correlations stabilize?
Schönbrodt, F. D., & Perugini, M. (2013) · Journal of Research in Personality · doi:10.1016/j.jrp.2013.05.009 · Cited by 2,232
Koriat, A., Lichtenstein, S., & Fischhoff, B. (1980) · Journal of Experimental Psychology: Human Learning and Memory · doi:10.1037/0278-7393.6.2.107 · Cited by 1,477
Fleming, S. M., & Lau, H. C. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00443 · Cited by 1,408 · cited 1×
“Metacognitive sensitivity refers to the ability of a person to discriminate between different levels of performance, such as correct or incorrect trials (Fleming & Lau, 2014).”
BackgroundSelf-citationMonitoring one’s own knowledge during study: A cue-utilization approach to judgments of learning
Koriat, A. (1997) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.126.4.349 · Cited by 1,363
Receiver-operating characteristics in recognition memory: evidence for a dual-process model.
Yonelinas, A. (1994) · Journal of Experimental Psychology. Learning, Memory and Cognition · doi:10.1037/0278-7393.20.6.1341 · Cited by 1,193
Receiver-operating characteristics in recognition memory: Evidence for a dual-process model.
Yonelinas, A. P. (1994) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037//0278-7393.20.6.1341 · Cited by 1,152
Raincloud plots: a multi-platform tool for robust data visualization
Allen, M., Poggiali, D., Whitaker, K. J., Marshall, T. R., & Kievit, R. (2019) · Wellcome Open Research · doi:10.12688/wellcomeopenres.15191.1 · Cited by 1,125
Research works printed but not linked: 2
- Kruschke J. (2014). Doing Bayesian data analysis: A tutorial with R, JAGS, and Stan. New York, NY: Academic Press.
- Nelson T. O., & Narens L. (1990). Metamemory: A theoretical frame- work and new findings In Bower G. (Ed.), The psychology of learning and motivation (pp. 125– 173). New York, NY: Academic Press.
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BackgroundShea, N. J. (2024) · doi:10.1093/9780191997167.001.0001 · Cited by 29
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van Loon, M., & Roebers, C. M. (2024) · Metacognition and Learning · doi:10.1007/s11409-024-09400-2 · Cited by 19
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Self-citationHu, X., Yang, C., & Luo, L. (2022) · Journal of Experimental Psychology General · doi:10.1037/xge0001257 · Cited by 10
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Metadata
- 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
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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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