RACE/ETHNICITY AND THE MEASUREMENT OF COGNITION IN NSHAP: RECOMMENDATIONS FOR ROBUSTNESS Article Swipe
James Iveniuk
,
Haena Lee
,
Selena Zhong
,
Jocelyn Wilder
,
Gillian L. Marshall
,
B Patricia
,
Lissette M Piedra
,
Alicia R. Riley
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1093/geroni/igad104.0232
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1093/geroni/igad104.0232
In this study, we interrogate measurement of cognition by race, in order to move towards a less-biased and more-inclusive set of measures for capturing cognitive change and decline in older adulthood. We use data from Round 2 (N=3377) and Round 3 (N=4777) of the National Social Life Health and Aging Project (NSHAP), and examine the study’s version of the Montreal Cognitive Assessment (MoCA). We employ exploratory factor analyses to explore configural invariance by racial/ethnic group (Non-Hispanic White, Non-Hispanic Black, Hispanic, All else), and then log-likelihood tests of scalar and metric invariance. Using modification indexes we identify items that seem robust to bias by race. We test the predictive validity of the full (18-item) and short (7-item) scales using self-reported dementia diagnosis, Instrumental Activities of Daily Living (IADLs), proxy reports of dementia death, and National Death Index (NDI) reports of dementia death. We found that 7 measures, out of the 18 used in NSHAP’s MoCA, formed a scale that was more robust to racial bias. The shortened form predicted consequential outcomes equally well, compared to NSHAP’s full MoCA. The short form was also highly correlated with the full form, and displayed lower test-retest correlation between Round 2 and 3. Although sophisticated structural equation modeling techniques could be useful for assuaging measurement invariance by race in NSHAP, the shortened form provides a quick way for researchers to carry out robustness checks – to see if the disparities and associations they document are ‘real’ or the product of artifactual bias.
Related Topics
Concepts
Measurement invariance
Dementia
Ethnic group
Psychology
Robustness (evolution)
Proxy (statistics)
Cognition
Gerontology
Metric (unit)
Health and Retirement Study
Montreal Cognitive Assessment
Cognitive impairment
Confirmatory factor analysis
Statistics
Structural equation modeling
Medicine
Mathematics
Biochemistry
Disease
Chemistry
Anthropology
Sociology
Economics
Operations management
Gene
Neuroscience
Pathology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/geroni/igad104.0232
- https://academic.oup.com/innovateage/article-pdf/7/Supplement_1/72/54737870/igad104.0232.pdf
- OA Status
- gold
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4390065394
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4390065394Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1093/geroni/igad104.0232Digital Object Identifier
- Title
-
RACE/ETHNICITY AND THE MEASUREMENT OF COGNITION IN NSHAP: RECOMMENDATIONS FOR ROBUSTNESSWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-12-01Full publication date if available
- Authors
-
James Iveniuk, Haena Lee, Selena Zhong, Jocelyn Wilder, Gillian L. Marshall, B Patricia, Lissette M Piedra, Alicia R. RileyList of authors in order
- Landing page
-
https://doi.org/10.1093/geroni/igad104.0232Publisher landing page
- PDF URL
-
https://academic.oup.com/innovateage/article-pdf/7/Supplement_1/72/54737870/igad104.0232.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://academic.oup.com/innovateage/article-pdf/7/Supplement_1/72/54737870/igad104.0232.pdfDirect OA link when available
- Concepts
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Measurement invariance, Dementia, Ethnic group, Psychology, Robustness (evolution), Proxy (statistics), Cognition, Gerontology, Metric (unit), Health and Retirement Study, Montreal Cognitive Assessment, Cognitive impairment, Confirmatory factor analysis, Statistics, Structural equation modeling, Medicine, Mathematics, Biochemistry, Disease, Chemistry, Anthropology, Sociology, Economics, Operations management, Gene, Neuroscience, PathologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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