A confirmatory factor analysis of the cognitive capacity screening examination in a clinical sample.
Structured mental status examinations offer several advantages over unstructured mental status examinations; however, few have been subjected to advanced psychometric analysis. Confirmatory factor analysis empirically tests the predictive validity of individual test indices within an a priori methodological framework. With such analysis, one can test hypotheses about the structure of latent variability within a given data set. The purpose of this study was to perform a confirmatory factor analysis of the Cognitive Capacity Screening Examination, the most comprehensive of the brief structured mental status examinations. A confirmatory factor analysis of the Cognitive Capacity Screening Examination (CCSE) was performed by applying LISREL 7 to a sample of 924 male veterans, 409 patients from a chemical dependence treatment program, and 515 individuals from a psychology consultation service. Constructs were derived from previous exploratory analysis of the scale. The results of the confirmatory factor analysis and three indices of model fit support an 11 factor model more complex than that originally formulated for the CCSE. However, three of these factors (digit span with interference, complex mental mathematics, and verbal memory) were more sensitive to impairment than other factors, accounting for over 90% of the CCSE total score variance. Although the CCSE is a more complex test than originally envisioned by its designers, it may not be necessary to give all items on the test. Either a subset of the CCSE items (the CCSE-A) or a relatively brief, informal mental status exam may be adequate for many patients.
Anderson
D A
DA
University at Albany-SUNY, Department of Psychology, Social Sciences 112, Albany, NY 12222, USA. drewa@csc.albany.edu
Burton
D B
DB
Parker
J D
JD
Godding
P R
PR
D003072:Cognition Disorders / Q000175:diagnosis*; D005163:Factor Analysis, Statistical; D006801:Humans; D008297:Male; D008875:Middle Aged; D009483:Neuropsychological Tests; D012720:Severity of Illness Index