The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Clustering and switching as two components of verbal fluency: Evidence from younger and older healthy adults.
Abstract
Although verbal fluency is a frequently used neuropsychological test, little is known about the underlying cognitive processes. The authors proposed that 2 important components of fluency performance are clustering (i.e., the production of words within semantic or phonemic subcategories) and switching (i.e., the ability to shift between clusters). In Experiment 1, correlational data from 54 older and 41 younger adults indicated that both components were highly correlated with the number of words generated on semantic fluency, whereas switching was more highly correlated than clustering with the number of words generated on phonemic fluency. On semantic fluency, younger participants generated more words and switched more frequently than older participants; on phonemic fluency, older participants produced larger clusters than younger participants. In Experiment 2, among 22 young adults, divided attention decreased the number of words generated and decreased switching on phonemic fluency only. Overall, findings suggest that clustering and switching are dissociable fluency components and that switching is related to frontal-lobe functioning.
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“By increasing people's confidence, such cues can affect their metacognitive control, leading people to decrease the effort they invest into further deliberate processing, as measured by thinking time and changes-of-mind [4,183,184].”
From The Metacognitive Demands and Opportunities of Generative AI (2024) · cites this paper as [184]
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Qualitative Assessment of Verbal Fluency Performance in Frontotemporal Dementia
van den Berg, E., Jiskoot, L. C., Grosveld, M. J. H., van Swieten, J. C., & Papma, J. M. (2017) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000477538 · Cited by 2,046
Snyder, H. R. (2013) · Psychological Bulletin · doi:10.1037/a0028727 · Cited by 1,667
Dimensions of executive functioning: evidence from children
Lehto, J. E., Juujärvi, P., Kooistra, L., & Pulkkinen, L. (2003) · British Journal of Developmental Psychology · doi:10.1348/026151003321164627 · Cited by 1,226
McCabe, D. P., Roediger, H. L., McDaniel, M. A., Balota, D. A., & Hambrick, D. Z. (2010) · Neuropsychology · doi:10.1037/a0017619 · Cited by 839
What do verbal fluency tasks measure? Predictors of verbal fluency performance in older adults
Shao, Z., Janse, E., Visser, K., & Meyer, A. S. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00772 · Cited by 905
Metadata
- Authors
- Troyer, A. K., Moscovitch, M., & Winocur, G.
- Affiliations
- Baycrest Centre for Geriatric Care (CA)
- Venue
- Neuropsychology
- Published
- 1997
- Volume
- 11
- Issue
- 1
- Pages
- 138-146
- ISSN
- 0894-4105 (ISSN-L)
- 1931-1559
- OpenAlex
- W2147230519
- Cited by
- 1,241
- References
- 57
- Citations by year
- 2026: 58 · 2025: 75 · 2024: 50 · 2023: 80 · 2022: 81 · 2021: 72 · 2020: 61 · 2019: 60 · 2018: 58 · 2017: 63 · 2016: 61 · 2015: 55 · 2014: 68 · 2013: 68 · 2012: 62
- FWCI
- 5.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neuropsychology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Social Sciences › Psychology › Clinical Psychology › Historical and Modern Theater Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- verbal fluency, semantic clustering, switching, semantic fluency, phonemic fluency, divided attention, aging, older adults, frontal lobe function, cognitive aging
- MeSH terms
- Adolescent, Adult, Age Factors, Aged, Aged, 80 and over, Aging, Attention, Female, Humans, Male, Middle Aged, Semantics
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- Troyer, A. K., Moscovitch, M., & Winocur, G. (1997). Clustering and switching as two components of verbal fluency: Evidence from younger and older healthy adults. Neuropsychology. https://doi.org/10.1037/0894-4105.11.1.138
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
