Age-related change in Wechsler IQ norms after adjustment for the Flynn effect: Estimates from three computational models
Abstract
A previous study found that the Flynn effect accounts for 85% of the normative difference between 20- and 70-year-olds on subtests of the Wechsler intelligence tests. Adjusting scores for the Flynn effect substantially reduces normative age-group differences, but the appropriate amount of adjustment is uncertain. The present study replicates previous findings and employs two other methods of adjusting for the Flynn effect. Averaged across models, results indicate that the Flynn effect accounts for 76% of normative age-group differences on Wechsler IQ subtests. Flynn-effect adjustment reduces the normative age-related decline in IQ from 4.3 to 1.1 IQ points per decade.
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Other research has shown that estimates of the size of the Flynn effect based on changes in subtest scores yield values similar to estimates from composite scores.
“However, other research has shown that estimates of the size of the Flynn effect based on changes in subtest scores yield values similar to estimates from the composite scores (Agbayani & Hiscock, 2013; Dickinson & Hiscock, 2010).”
From The Flynn effect: A meta-analysis. (2014) · cites this paper as Agbayani & Hiscock, 2013
Cites
The processing-speed theory of adult age differences in cognition
Salthouse, T. A. (1996) · Psychological Review · doi:10.1037/0033-295x.103.3.403 · Cited by 5,568 · cited 1× · see citing works
“Because several subtests of the Wechsler tests have a speed component or external time constraint, age-related declines in performance on such subtests may reflect diminished processing speed rather than (or more than) loss of cognitive ability (Salthouse, 1996).”
BackgroundThe Flynn effect: A meta-analysis.
Trahan, L. H., Stuebing, K. K., Fletcher, J. M., & Hiscock, M. (2014) · Psychological Bulletin · doi:10.1037/a0037173 · Cited by 364 · cited 1× · see citing works
“Moreover, unlike the estimates of Model 1, the Flynn-effect size estimates of Model 2 are not susceptible to carryover effects (Kaufman, 2010; Trahan, Stuebing, Fletcher, & Hiscock, 2013).”
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The Flynn effect: A meta-analysis.
Trahan, L. H., Stuebing, K. K., Fletcher, J. M., & Hiscock, M. (2014) · Psychological Bulletin · doi:10.1037/a0037173 · Cited by 364 · see citing works
“However, other research has shown that estimates of the size of the Flynn effect based on changes in subtest scores yield values similar to estimates from the composite scores (Agbayani & Hiscock, 2013; Dickinson & Hiscock, 2010).”
ResultSelf-citation
- Authors
- Agbayani, K. A., & Hiscock, M.
- Affiliations
- University of Houston (US)
- Corresponding author
- Hiscock, Merrill
- Venue
- Journal of Clinical and Experimental Neuropsychology
- Publisher
- Informa UK Limited
- Published
- 2013-07
- Volume
- 35
- Issue
- 6
- Pages
- 642-654
- ISSN
- 0165-0475 (ISSN-L)
- 1380-3395
- 1744-411X
- OpenAlex
- W2065981558
- Cited by
- 5
- References
- 2
- Citations by year
- 2024: 1 · 2023: 1 · 2017: 1 · 2016: 1 · 2014: 1
- FWCI
- 0.82
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Clinical and Experimental Neuropsychology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Social Sciences › Psychology › Clinical Psychology › Historical and Modern Theater Studies
- Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Aging and Gerontology Research
- Keywords
- Flynn effect, computational model, cognitive aging
- MeSH terms
- Adolescent, Adult, Aged, Aging, Female, Humans, Intelligence, Male, Middle Aged, Psychometrics, Reference Values, Wechsler Scales, Reproducibility of Results, Models, Statistical, Cohort Studies, Bias, Young Adult
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