Gaynor Leslie S, Lopez Francesca V, Van Hulle Carol A, Li Clara, Vasunilashorn Sarinnapha M, Andrews Shea J, Simone Stephanie M, Mungas Dan M
Division of Geriatric Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Alzheimers Dement. 2025 Sep;21(9):e70720. doi: 10.1002/alz.70720.
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.
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 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.
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.
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.
本研究考察了来自美国国家阿尔茨海默病协调中心（NACC）统一数据集（UDS）2.0版和3.0版的神经心理测试组合的维度结构，以及跨UDS版本和种族/族裔群体的测量等效性。
本研究纳入了49895名参与者。在不同样本中开发并测试了最佳拟合模型。多组验证性因素分析（CFA）评估了跨UDS版本和种族/族裔群体的测量等效性。
结果确定了一个具有残差结构的最佳拟合四因素模型。多组CFA支持按UDS版本和种族/族裔群体划分的部分标量不变性。关于种族/族裔群体，语言和注意力领域有更多的非不变截距，对白人组影响最大。
一个四因素模型有效地总结了跨UDS版本和种族/族裔群体的UDS神经心理测试组合。在将这些神经心理测试作为结果的研究中，必须考虑测量参数的关键差异。
一个四因素模型总结了跨统一数据集（UDS）版本和种族/族裔群体的认知情况。跨种族/族裔群体存在测量不变性。认知受损和未受损样本之间的模型拟合不同。考虑组间测量参数的差异至关重要。定制的常模数据对于某些UDS测试（包括类别流畅性测试）至关重要。
