Open AccessFactor structure and measurement invariance of a neuropsychological test battery designed for assessment of cognitive functioning in older Mexican Americans
Author(s) -
Gavett Brandon E.,
Stypulkowski Katie,
Johnson Leigh,
Hall James,
O'Bryant Sid E.
Publication year - 2018
Publication title -
alzheimer's and dementia: diagnosis, assessment and disease monitoring
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.497
H-Index - 37
ISSN - 2352-8729
DOI - 10.1016/j.dadm.2018.08.003
Subject(s) - measurement invariance , structural equation modeling , confirmatory factor analysis , psychology , cognition , neuropsychology , neuropsychological test , cognitive test , executive functions , developmental psychology , statistics , psychiatry , mathematics
The present study sought to investigate the measurement invariance of commonly used neuropsychological tests in an ethnically (Hispanic vs. non‐Hispanic) and linguistically (Spanish vs. English) diverse sample. Methods Participants were 736 middle‐aged and older adults ( M Age = 62.1, SD = 9.1) assessed at baseline. Measurement invariance testing was performed using multiple‐group confirmatory factor analysis. Results A five‐factor model (memory, attention/executive functioning/processing speed, language, visuospatial, and motor) fit the data well (CFI = 0.979, RMSEA = 0.047) and the composite reliability of the factors ranged from .76 (visuospatial) to .97 (motor). The five‐factor model was found to possess strict measurement invariance for ethnicity and language without a decrement in fit compared to a strong (scalar) invariance model (ΔCFI = .000, ΔRMSEA = .002). Discussion These results indicate that a five‐factor model is suitable for estimating cognitive functioning in Mexican Americans and non‐Hispanic whites without bias by ethnicity or language.