Cited by 138Cognitive Abilities and TestingAging and Gerontology ResearchLogic, Reasoning, and Knowledge

Working memory and bias in reasoning across the life span

Gilinsky, Alberta S., Judd, Ben B.·1994·Psychology and Aging

Abstract

Age differences in syllogistic reasoning in relation to crystallized and fluid ability were studied in 278 adults from 19 to 96 years of age. Two reasoning tasks, the evaluation and the construction of conclusions for syllogisms of varying complexity and believability, a vocabulary test, and 3 tasks of working memory were administered. The magnitude of age-related variance on selected reasoning tasks was only partially reduced by statistically controlling measures of both working memory and vocabulary. Additional age-related effects on reasoning were found to be significantly associated with number of mental models and bias produced by conflict between belief and logic. A significant bias was also found toward acceptance of invalid syllogisms as valid, even when contents were abstract. These sources of error in logic are discussed in relation to Johnson-Laird's (1983) theory of mental models and Evan's (1989) account of bias in human reasoning.

Integrity signals

Registry

Crossref · 10.1037/0882-7974.9.3.356

Cites

38 of 38 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

  • Relative to young people, the performance of the elderly is especially impaired when the complexity of the task is raised.

    “In diverse experimental settings and problem domains a so-called complexity effect has been demonstrated, indicating that relative to the young, the performance of the elderly is especially impaired when the complexity of the task is raised (Czaja & Sharit, 1993;Gilinsky & Judd, 1994;Lorsbach & Simpson, 1988).”

    From Cognitive load theory and aging: effects of worked examples on training efficiency (2002) · cites this paper as Gilinsky & Judd, 1994

  • Performance was especially poorer in the more complex far-transfer domain, which is a confirmation of earlier research findings (Czaja & Sharit, 1993; Gilinsky & Judd, 1994; Lorsbach & Simpson, 1988).

    “Performance was especially poorer in the more complex far-transfer domain, which is a confirmation of earlier research findings (Czaja & Sharit, 1993;Gilinsky & Judd, 1994;Lorsbach & Simpson, 1988).”

    From Cognitive load theory and aging: effects of worked examples on training efficiency (2002) · cites this paper as Gilinsky & Judd, 1994

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Gilinsky, A. S., & Judd, B. B.
Affiliations
Wesleyan University (US)
Venue
Psychology and Aging
Published
1994
Volume
9
Issue
3
Pages
356-371
ISSN
  • 0882-7974 (ISSN-L)
  • 1939-1498
OpenAlex
W1976289819
Cited by
138
References
38
Citations by year
2026: 1 · 2024: 1 · 2023: 1 · 2022: 1 · 2021: 4 · 2020: 2 · 2018: 8 · 2017: 3 · 2016: 4 · 2015: 4 · 2014: 5 · 2013: 7 · 2012: 8
FWCI
3.80
Type
journal article
Language
en
Open access
closed
Locations
  • Psychology and Aging (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institute on Aging (AGO 7812)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
  • Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Aging and Gerontology Research
  • Physical Sciences › Computer Science › Artificial Intelligence › Logic, Reasoning, and Knowledge
Keywords
syllogistic reasoning, working memory, age differences, cognitive aging, mental models, belief bias, vocabulary, lifespan development
MeSH terms
Adult, Aged, Aged, 80 and over, Aging, Attention, Concept Formation, Female, Humans, Logic, Male, Middle Aged, Neuropsychological Tests, Problem Solving, Reality Testing, Mental Recall, Semantics, Vocabulary

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