Cited by 744Schizophrenia research and treatmentPsychological Testing and AssessmentPsychometric Methodologies and Testing

The MATRICS Consensus Cognitive Battery, part 2: co-norming and standardization

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Kern, Robert S., Nuechterlein, Keith H., Green, Michael F., Baade, Lyle E., Fenton, Wayne S., Gold, James M., Keefe, Richard S.E., Mesholam-Gately, Raquelle +4 more·2008·American Journal of Psychiatry

Abstract

OBJECTIVE: The consensus cognitive battery developed by the National Institute of Mental Health's (NIMH's) Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) initiative includes 10 independently developed tests that are recommended as the standard battery for clinical trials of cognition-enhancing interventions for schizophrenia. To facilitate interpretation of results from the MATRICS Consensus Cognitive Battery using a common scaling across tests, normative data were obtained from a single representative U.S. community sample with the battery administered as a unit. METHOD: The MATRICS Consensus Cognitive Battery was administered to 300 individuals from the general community at five sites in differing geographic regions. For each site, recruitment was stratified by age, gender, and education. A scientific survey sampling method was used to help avoid sampling bias. The battery was administered in a standard order to each participant in a single session lasting approximately 60 minutes. Descriptive data were generated, and age, gender, and education effects on performance were examined. RESULTS: Prominent age and education effects were observed across tests. The results for gender differed by measure, suggesting the need for age and gender corrections in clinical trials. The MATRICS Consensus Cognitive Battery components were co-normed, with allowance for demographic corrections. CONCLUSIONS: Co-norming a battery such as the MATRICS Consensus Cognitive Battery, comprising tests from independent test developers each with their own set of norms, facilitates valid interpretation of test scores and communication of findings across studies. These normative data will aid in estimating the magnitude of change during clinical trials of cognition-enhancing agents and make it possible to derive more directly interpretable composite scores.

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Crossref · 10.1176/appi.ajp.2007.07010043

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Authors
Kern, R. S., Nuechterlein, K. H., Green, M. F., Baade, L. E., Fenton, W. S., Gold, J. M., Keefe, R. S. E., Mesholam-Gately, R., Mintz, J., Seidman, L. J., Stover, E., & Marder, S. R.
Affiliations
University of California, Los Angeles (US)
Venue
American Journal of Psychiatry
Published
2008-02
Volume
165
Issue
2
Pages
214-220
ISSN
  • 0002-953X (ISSN-L)
  • 1535-7228
OpenAlex
W2159977744
Cited by
744
References
24
Citations by year
2026: 30 · 2025: 50 · 2024: 57 · 2023: 52 · 2022: 46 · 2021: 58 · 2020: 53 · 2019: 50 · 2018: 44 · 2017: 46 · 2016: 32 · 2015: 39 · 2014: 46 · 2013: 33 · 2012: 31
FWCI
17.75
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • American Journal of Psychiatry (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health (n01mh022006-001)
  • National Institute of Mental Health (N01MH22006)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
  • Social Sciences › Psychology › Applied Psychology › Psychological Testing and Assessment
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
Keywords
MATRICS Consensus Cognitive Battery, reference values, schizophrenia, cognitive function, age effects, gender effects, education effects, composite score, clinical trial outcome measures, standardization
MeSH terms
Adult, Age Factors, Clinical Trials as Topic, Cognition Disorders, Data Collection, Educational Status, Female, Humans, Male, Middle Aged, National Institute of Mental Health (U.S.), Neuropsychological Tests, Psychometrics, Reference Values, Schizophrenia, Schizophrenic Psychology, Sex Factors, United States, Patient Selection

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