ArticleJournal for person-oriented research2017
Revisiting measurement invariance in intelligence testing in aging research: Evidence for almost complete metric invariance across age groups.
Article in Journal for person-oriented research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 7 citations in OpenAlex.
- Experiences of Discrimination and Alcohol Involvement Among Young Adults at the Intersection of Race/Ethnicity and Gender.Journal of racial and ethnic health disparities · 2025Article
- A viewpoint on change point modeling for cognitive aging research: Moving from description to intervention and practice.Ageing research reviews · 2020Review
- Correlates of Visuospatial Ability among Older People in Indonesia.Indian journal of community medicine : official publication of Indian Association of Preventive & Social MedicineArticle
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3 authors at 1 institution in 1 country.
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Abstract
BACKGROUND/
objectivesInvariance of intelligence across age is often assumed but infrequently explicitly tested. Horn and McArdle (1992) tested measurement invariance of intelligence, providing adequate model fit but might not consider all relevant aspects such as sub-test differences. The goal of the current paper is to explore age-related invariance of the WAIS-R using an alternative model that allows direct tests of age on WAIS-R subtests.
methodsCross-sectional data on 940 participants aged 16-75 from the WAIS-R normative values were used. Subtests examined were information, comprehension, similarities, vocabulary, picture completion, block design, picture arrangement, and object assembly. The two intelligence factors considered were fluid and crystallized intelligence. Self-reported ages were divided into young (16-22,
resultsResults suggested partial metric invariance holds. Although most of the subtests reflected fluid and crystalized intelligence similarly across different ages, invariance did not hold for block design on fluid intelligence and picture arrangement on crystallized intelligence for older adults. Additionally, there was evidence of a correlated residual between information and vocabulary for the young adults only. This partial metric invariance model yielded acceptable model fit compared to previously-proposed invariance models of Horn and McArdle (1992).
conclusionAlmost complete metric invariance holds for a two-factor model of intelligence. Most of the subtests were invariant across age groups, suggesting little evidence for age-related bias in the WAIS-R. However, we did find unique relationships between two subtests and intelligence. Future studies should examine age-related differences in subtests when testing measurement invariance in intelligence.
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