A confirmatory factor analysis of the MATRICS consensus cognitive battery in severe mental illness
Introduction
Impaired cognitive functioning is common among individuals with schizophrenia and other severe mental illnesses (SMI) (Martínez-Arán et al., 2004, Porter et al., 2003, Reichenberg and Harvey, 2007) and has a significant impact on everyday functioning (Austin et al., 2001, Bowie et al., 2006, Martinez-Aran et al., 2007). The Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus Cognitive Battery (MCCB) (Nuechterlein et al., 2008) is a reliable and valid comprehensive assessment of cognition containing a total of ten cognitive tests assessing the domains of processing speed, verbal learning, visual learning, verbal and nonverbal working memory, reasoning/problem solving, attention/vigilance, and social cognition, and has become a standard assessment in studies evaluating the impact of cognitive treatments (Burdick et al., 2011, Kessler et al., 2013, McGurk et al., 2015), and those designed to determine relationships between cognitive performance and community functioning in schizophrenia and other SMI (Green et al., 2008, Green et al., 2011, Keefe et al., 2011, Kern et al., 2011). Because the MCCB is being used in diagnostically heterogeneous samples (Burdick et al., 2011, Kessler et al., 2013), its factor structure in the broader SMI population is of interest.
Two studies have investigated the factor structure of the MCCB (Burton et al., 2013, Harvey et al., 2013). The most recent study (Burton et al., 2013) identified a three factor structure in people with schizophrenia-spectrum disorders, including processing speed, attention/working memory, and learning, in contrast to a unifactorial model reflecting global cognitive ability (Nuechterlein et al., 2008). The factor structure analysis by Harvey et al. (2013) examined whether cognitive ability measured by traditional neuropsychological tests (i.e., MCCB) and measures of functional capacity reflect a single ability construct, which they, in fact, demonstrated.
The current study sought to extend the factor analytic findings of Burton et al. and Harvey et al. by employing a confirmatory factor analysis to evaluate the factor structure of the MCCB in a heterogeneous sample of persons with schizophrenia-spectrum disorders and mood disorders. In addition, we explored the relationships between MCCB factor scores and clinical symptoms.
Section snippets
Experimental/materials and methods
This report is a secondary analysis of baseline data collected from three randomized controlled trials evaluating the Thinking Skills for Work program, a cognitive remediation program targeting cognitive and employment outcomes in persons with SMI receiving vocational rehabilitation. The studies were conducted at community mental health centers with approval received from the relevant Institutional Review Boards.
Confirmatory factor analysis
Without allowing for correlated errors, the model for the full SMI sample demonstrated some indices of good model fit (SRMR = 0.04, CFI = 0.98, NNFI = 0.97) and poor model fit (χ2 = 57.29, p = 0.00, RMSEA = 0.07). Given the poor model fit for the model chi-square and RMSEA, we examined localized areas of strain. Errors between five pairs of variables (i.e., category fluency & NAB mazes; category fluency & HVLT-R; NAB mazes & CPT-IP; NAB mazes & WMS-III spatial span; and NAB mazes & BVMT-R) were permitted
Discussion
With 183 outpatients with schizophrenia, Burton et al. (2013) described a three factor structure for the MCCB including processing speed, attention/working memory, and learning. In the present study, this factor structure was successfully replicated in a heterogeneous sample of participants diagnosed with schizophrenia-spectrum or mood disorders. These findings suggest that the structure of cognitive functions assessed on the MCCB is not influenced by schizophrenia, consistent with the
Contributors
Stephen B. Lo, Kristin L. Szuhany, M. Alexandra Kredlow, Kim T. Mueser and Susan R. McGurk designed the study. Stephen B. Lo, Kristin L. Szuhany, M. Alexandra Kredlow, Kim T. Mueser and Susan R. McGurk managed the literature searches and analyses. Stephen B. Lo, Kristin L. Szuhany, M. Alexandra Kredlow, Kim T. Mueser and Susan R. McGurk undertook the statistical analysis, and author Stephen B. Lo, Kristin L. Szuhany and M. Alexandra Kredlow wrote the first draft of the manuscript. All authors
Conflict of interest
All authors declare that they have no conflicts of interest.
Acknowledgements
This work would not have been possible without the support of the National Institute of Mental Health (R01 MH077210) and the National Institute on Disability, Independent Living, and Rehabilitation Research (H133G090206).
References (37)
- et al.
The MATRICS Consensus Cognitive Battery (MCCB): clinical and cognitive correlates
Schizophr. Res.
(2012) - et al.
Factor structure of the MATRICS Consensus Cognitive Battery (MCCB) in schizophrenia
Schizophr. Res.
(2013) - et al.
Insight, quality of life and cognitive functioning in euthymic patients with bipolar disorder
J. Affect. Disord.
(2008) - et al.
Differential preservation of cognitive functions in geriatric patients with lifelong chronic schizophrenia: less impairment in reading compared with other skill areas
Biol. Psychiatry
(2000) - et al.
Characteristics of the MATRICS consensus cognitive battery in a 29-site antipsychotic schizophrenia clinical trial
Schizophr. Res.
(2011) - et al.
The MCCB impairment profile for schizophrenia outpatients: results from the MATRICS psychometric and standardization study
Schizophr. Res.
(2011) - et al.
Neurocognition and social skill in older persons with schizophrenia and major mood disorders: an analysis of gender and diagnosis effects
J. Neurolinguistics
(2010) - et al.
Generalized cognitive dysfunction, symptomatology, and specific cognitive processes in relation to functioning of schizophrenia patients
Schizophr. Res.
(2003) - et al.
Cognitive deficits in depression: possible implications for functional neuropathology
Br. J. Psychiatry J. Ment. Sci.
(2001) Structural Equations with Latent Variables
(2014)