Open AccessLatent Factor Structure and Measurement Invariance of the NIH Toolbox Cognition Battery in an Alzheimer’s Disease Research Sample
Author(s) -
Yue Ma,
Cynthia M. Carlsson,
Michelle L. Wahoske,
Hanna Blazel,
Richard J. Chappell,
Sterling C. Johnson,
Sanjay Asthana,
Carey E. Gleason
Publication year - 2020
Publication title -
journal of the international neuropsychological society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.074
H-Index - 127
eISSN - 1469-7661
pISSN - 1355-6177
DOI - 10.1017/s1355617720000922
Subject(s) - measurement invariance , confirmatory factor analysis , cognition , psychology , cognitive test , structural equation modeling , exploratory factor analysis , dementia , clinical psychology , developmental psychology , disease , psychometrics , medicine , psychiatry , statistics , mathematics
This study investigated the latent factor structure of the NIH Toolbox Cognition Battery (NIHTB-CB) and its measurement invariance across clinical diagnosis and key demographic variables including sex, race/ethnicity, age, and education for a typical Alzheimer's disease (AD) research sample.