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The structure of verbal abilities in young and older adults.
Open accessAbstract
Four language sample measures as well as measures of vocabulary, verbal fluency, and memory span were obtained from a sample of young adults and a sample of older adults. Factor analysis was used to analyze the structure of the vocabulary, fluency, and span measures for each age group. Then an "extension" analysis was performed by using structural modeling techniques to determine how the language sample measures were related to the other measures. The measure of grammatical complexity was associated with measures of working memory including reading span and digit span. Two measures, sentence length in words and a measure of lexical diversity, were associated with the vocabulary measures. The fourth measure, propositional density, was associated with the fluency measures as a measure of processing efficiency. The structure of verbal abilities in young and older adults is somewhat different, suggesting age differences in processing efficiency.
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“Related screenings include the mini-mental state examination (MMSE) [57], Addenbrooke’s Cognitive Examination (ACE) [58], and the Montreal Cognitive Assessment (MoCA) [59] for evaluating conditions like mild cognitive impairment (MCI), dementia, and Alzheimer’s disease (AD).”
From A Review of Automated Speech and Language Features for Assessment of Cognitive and Thought Disorders (2020) · cites this paper as [57]
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Metadata
- Authors
- Kemper, S., & Sumner, A.
- Affiliations
- University of Kansas (US)
- Venue
- Psychology and Aging
- Published
- 2001
- Volume
- 16
- Issue
- 2
- Pages
- 312-322
- ISSN
- 0882-7974 (ISSN-L)
- 1939-1498
- OpenAlex
- W2084618255
- Cited by
- 302
- References
- 74
- Citations by year
- 2026: 13 · 2025: 10 · 2024: 18 · 2023: 9 · 2022: 18 · 2021: 11 · 2020: 25 · 2019: 22 · 2018: 15 · 2017: 15 · 2016: 16 · 2015: 18 · 2014: 17 · 2013: 11 · 2012: 16
- FWCI
- 1.92
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- other-oa
- Locations
- Psychology and Aging (publishedVersion)
- PubMed (publishedVersion)
- KU ScholarWorks (The University of Kansas) (acceptedVersion, other-oa)
- Funders
- National Institute on Aging (AG 009952, R01AG009952)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Social Sciences › Psychology › Developmental and Educational Psychology › Language Development and Disorders
- Keywords
- verbal ability, aging, vocabulary, verbal fluency, memory span, grammatical complexity, reading span, digit span, sentence length, lexical diversity, processing efficiency, age differences, older adults
- MeSH terms
- Adult, Age Factors, Aged, Aged, 80 and over, Aging, Cognition, Factor Analysis, Statistical, Female, Humans, Language, Language Tests, Linguistics, Male, Memory, Middle Aged
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 ›
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