Please use this identifier to cite or link to this item: https://doi.org/10.1017/S0033291714001020
Title: Refining the latent structure of neuropsychological performance in schizophrenia
Authors: Lam, M.
Collinson, S.L. 
Eng, G.K.
Rapisarda, A. 
Kraus, M.
Lee, J.
Chong, S.A. 
Keefe, R.S.E.
Keywords: Bland-Altman analysis
confirmatory factor analysis
endophenotypes
exploratory factor analysis
g
Issue Date: 22-May-2014
Citation: Lam, M., Collinson, S.L., Eng, G.K., Rapisarda, A., Kraus, M., Lee, J., Chong, S.A., Keefe, R.S.E. (2014-05-22). Refining the latent structure of neuropsychological performance in schizophrenia. Psychological Medicine. ScholarBank@NUS Repository. https://doi.org/10.1017/S0033291714001020
Abstract: Background: Elucidating the cognitive architecture of schizophrenia promises to advance understanding of the clinical and biological substrates of the illness. Traditional cross-sectional neuropsychological approaches differentiate impaired from normal cognitive abilities but are limited in their ability to determine latent substructure. The current study examined the latent architecture of abnormal cognition in schizophrenia via a systematic approach. Method: Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were carried out on a large neuropsychological dataset including the Brief Assessment of Cognition in Schizophrenia, Continuous Performance Test, Wisconsin Card Sorting Test, Benton Judgment of Line Orientation Test, and Wechsler Abbreviated Scale of Intelligence matrix reasoning derived from 1012 English-speaking ethnic Chinese healthy controls and 707 schizophrenia cases recruited from in- and out-patient clinics. Results: An initial six-factor model fit cognitive data in healthy and schizophrenia subjects. Further modeling, which accounted for methodological variance between tests, resulted in a three-factor model of executive functioning, vigilance/speed of processing and memory that appeared to best discriminate schizophrenia cases from controls. Factor analytic-derived g estimands and conventionally calculated g showed similar case-control discrimination. However, agreement analysis suggested systematic differences between both g indices. Conclusions: Factor structures derived in the current study were broadly similar to those reported previously. However, factor structures between schizophrenia subjects and healthy controls were different. Roles of factor analytic-derived g estimands and conventional composite score g were further discussed. Cognitive structures underlying cognitive deficits in schizophrenia may prove useful for interrogating biological substrates and enriching effect sizes for subsequent work. Copyright © Cambridge University Press 2014.
Source Title: Psychological Medicine
URI: http://scholarbank.nus.edu.sg/handle/10635/124618
ISSN: 00332917
DOI: 10.1017/S0033291714001020
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

7
checked on Jun 21, 2018

WEB OF SCIENCETM
Citations

6
checked on May 9, 2018

Page view(s)

24
checked on May 3, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.