title: Estimating pattern similarity for correlation matrices from differing neuropsychiatric populations.
abstract: The present example illustrates a method for assessing pattern similarity for correlation matrices from populations known to differ in clinically important respects. The data underlying previously published confirmatory factor analyses of neuropsychological traits are presented in two methods for assessing whether the matrices are similar enough to justify their aggregation into a single composite matrix. The significance of this procedure for research in applied neuropsychology is commented upon in terms of the benefits to model diagnostics.
authors.affiliation: Department of Psychiatric Medicine, University of Virginia Health Sciences Center, Charlottesville 22901.
authors.forename: P C
authors.initials: PC
authors.lastname: Fowler
authors.forename: S N
authors.initials: SN
authors.lastname: MacCiocchi
authors.forename: J D
authors.initials: JD
authors.lastname: Ranseen
mesh_terms: D001925:Brain Damage, Chronic / Q000175:diagnosis* / Q000523:psychology; D005163:Factor Analysis, Statistical; D006801:Humans; D009483:Neuropsychological Tests / Q000706:statistics & numerical data*; D011594:Psychometrics