Cited by 156Cognitive Abilities and TestingAging and Gerontology ResearchPersonality Traits and Psychology

The locus of adult intelligence: Knowledge, abilities, and nonability traits

Ackerman, Phillip L., Rolfhus, Eric L.·1999·Psychology and Aging

Abstract

Some intelligence theorists (e.g., R. B. Cattell, 1943; D. O. Hebb, 1942) have suggested that knowledge is one aspect of human intelligence that is well preserved or increases during adult development. Very little is known about knowledge structures across different domains or about how individual differences in knowledge relate to other traits. Twenty academic and technology-oriented tests were administered to 135 middle-aged adults. In comparison with younger college students, the middle-aged adults knew more about nearly all of the various knowledge domains. Knowledge was partly predicted by general intelligence, by crystallized abilities, and by personality, interest, and self-concept. Implications of this work are discussed in the context of a developmental theory that focuses on the acquisition and maintenance of intelligence-as-knowledge, as well as the role of knowledge for predicting the vocational and avocational task performance of adults.

Integrity signals

Registry

Crossref · 10.1037/0882-7974.14.2.314

Cites

0 citation errors · 0 not checkable

Statistics

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

Claims the paper makes

We couldn’t retrieve this paper’s full text, 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?

  • People choose domains in which to invest time, energy, and cognitive resources to gain knowledge and experience.

    “Individuals select particular areas in which they invest time, energy, and cognitive resources to gain knowledge and experience”
  • Ackerman and Rolfhus (1999) found a significant negative association between extraversion (assessed by the NEO-FFI) and scores on nine of the twenty domain knowledge scales.

    “Again, Ackerman and Rolfhus found a significant negative association between extraversion (assessed by the NEO-FFI) and scores on nine of the twenty domain knowledge scales (see Table 3).”

    From Extraversion and intelligence: A meta-analytic investigation (2005) · cites this paper as Ackerman & Rolfhus, 1999

Cites

The publisher hasn’t deposited this paper’s reference list.

Cited by

Sorted by citations

Authors
Ackerman, P. L., & Rolfhus, E. L.
Affiliations
Georgia Institute of Technology (US)
Venue
Psychology and Aging
Published
1999
Volume
14
Issue
2
Pages
314-330
ISSN
  • 0882-7974 (ISSN-L)
  • 1939-1498
OpenAlex
W4236471720
Cited by
156
References
0
Citations by year
2026: 1 · 2025: 2 · 2024: 2 · 2023: 3 · 2022: 3 · 2021: 7 · 2020: 5 · 2019: 5 · 2018: 5 · 2017: 7 · 2016: 7 · 2015: 7 · 2014: 8 · 2013: 4 · 2012: 11
FWCI
9.18
Type
journal article
Language
en
Open access
closed
Locations
  • Psychology and Aging (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
  • Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Aging and Gerontology Research
  • Social Sciences › Psychology › Clinical Psychology › Personality Traits and Psychology
Keywords
adult intelligence, knowledge, ability, cognitive aging, personality traits
MeSH terms
Adult, Aging, Analysis of Variance, Aptitude, Cross-Sectional Studies, Female, Humans, Intelligence, Intelligence Tests, Learning, Male, Middle Aged, Models, Psychological, Personality, Regression Analysis, Knowledge

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