Measurement equivalence of the UDS version 2.0 and 3.0 neuropsychological batteries.

Gaynor, Leslie S, Francesca Lopez V, Carol A Van Hulle, Clara Li, Sarinnapha M Vasunilashorn, Shea J Andrews, Stephanie M Simone, and Dan M Mungas. 2025. “Measurement Equivalence of the UDS Version 2.0 and 3.0 Neuropsychological Batteries.”. Alzheimer’s & Dementia : The Journal of the Alzheimer’s Association 21 (9): e70720.

Abstract

INTRODUCTION: The present study examined the dimensional structure of the neuropsychological test batteries from the National Alzheimer's Coordinating Center (NACC) Uniform Data Set (UDS) versions 2.0 and 3.0 and measurement equivalence across UDS versions and race/ethnicity groups.

METHODS: There were 49,895 participants included in the present study. The best-fitting model was developed and tested in separate samples. Multiple group confirmatory factor analysis (CFA) evaluated measurement equivalence across UDS versions and race/ethnicity groups.

RESULTS: Results identified a best-fitting four-factor model with residual structure. Multiple group CFA supported partial scalar invariance by UDS version and race/ethnicity group. Regarding race/ethnicity groups, the Language and Attention domains had more non-invariant intercepts, which most affected the White group.

DISCUSSION: A four-factor model effectively summarizes the UDS neuropsychological test batteries across UDS versions and race/ethnicity groups. Crucial differences in measurement parameters must be accounted for in studies using these neuropsychological tests as outcomes.

HIGHLIGHTS: A four-factor model summarizes cognition across Uniform Data Set (UDS) versions and race/ethnicity groups. Measurement invariance exists across race/ethnicity groups. Model fit differs between cognitively impaired and unimpaired samples. Accounting for differences in measurement parameters across groups is essential. Tailored normative data are crucial for certain UDS tests, including category fluency.

Last updated on 09/19/2025
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