4.2 Article

Measurement Invariance of Neuropsychological Measures of Cognitive Aging Across Race/Ethnicity by Sex/Gender Groups

Journal

NEUROPSYCHOLOGY
Volume 34, Issue 1, Pages 3-14

Publisher

AMER PSYCHOLOGICAL ASSOC
DOI: 10.1037/neu0000584

Keywords

measurement invariance; sex/gender differences; racial/ethnic differences; cognitive aging; neuropsychology

Funding

  1. Washington Heights-Inwood Columbia Aging Project (WHICAP) - National Institute on Aging (NIA) [PO1AG07232, R01AG037212, RF1AG054023]
  2. National Center for Advancing Translational Sciences, National Institutes of Health [UL1TR001873]
  3. Transdisciplinary Research, Equity and Engagement Center for Advancing Behavioral Health, National Institutes of Health [3U54MD004811-07S1]

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Objective: The purpose of this study was to evaluate the measurement invariance of a neuropsychological battery across race/ethnicity by sex/gender subgroups over repeated measurements. Method: Participants were 6,057 non-Hispanic White (NHW), Black, and Hispanic men and women in the Washington/ Hamilton Heights Inwood Columbia Aging Project (WHICAP) who were administered neuropsychological tests of memory, language, and visuospatial abilities at 18 to 24-month intervals for up to 25 years. Invariance analyses were conducted on the three-factor model across sex/gender, racial/ethnic, and sex/gender by racial/ethnic subgroups, as well as across five assessment timepoints. Results: The three-factor model demonstrated full measurement invariance across sex/gender groups and over repeated measurements. However, partial measurement invariance (invariant factor structure and factor loadings but nonequivalent observed score intercepts) for the language domain was exhibited across racial/ethnic and sex/gender by racial/ethnic subgroups. Conclusion: Establishing measurement invariance is essential for valid interpretation of group differences in cognitive test performance. Findings from the current study highlight the need for continued examination of sex/gender by racial/ethnic differences in measurement properties of assessment tools, as well as expanded research on sex/gender variability across other understudied racial/ethnic groups.

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