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Updated: Jul 8, 2026

Development of a Virtual Reality Assessment of Everyday Living Skills

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Published on: April 23, 2014

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

Robert S Kern¹, Keith H Nuechterlein, Michael F Green

¹Department of Psychology, Geffen School of Medicine, University of California, Los Angeles CA 90073, USA. rkern@ucla.edu

The American Journal of Psychiatry

|January 4, 2008

Summary

Normative data for the Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus Cognitive Battery were collected from a diverse U.S. sample. These data enable accurate interpretation of cognitive test results in schizophrenia clinical trials.

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Multimedia Battery for Assessment of Cognitive and Basic Skills in Mathematics (BM-PROMA)

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Multimedia Battery for Assessment of Cognitive and Basic Skills in Mathematics (BM-PROMA)

Multimedia Battery for Assessment of Cognitive and Basic Skills in Mathematics (BM-PROMA)

Published on: August 28, 2021

Area of Science:

Neuroscience
Psychology
Clinical Trials

Background:

The Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) initiative developed a standard cognitive battery for schizophrenia research.
Interpreting results across independently developed tests with varying norms is challenging.

Purpose of the Study:

To establish normative data for the MATRICS Consensus Cognitive Battery (MCCB) in a representative U.S. community sample.
To facilitate score interpretation and facilitate composite score derivation for clinical trials.

Main Methods:

Administered the MCCB to 300 individuals across five U.S. geographic regions.
Stratified recruitment by age, gender, and education, employing scientific survey sampling.
Collected data in a single session, followed by analysis of demographic effects.

Main Results:

Significant effects of age and education on cognitive performance were identified across MCCB tests.
Gender effects varied by cognitive measure, indicating a need for demographic corrections.
The MCCB components were successfully co-normed, incorporating demographic adjustments.

Conclusions:

Co-norming the MCCB enhances the validity of score interpretation and cross-study communication.
These normative data are crucial for estimating treatment effects in clinical trials for schizophrenia.
The derived composite scores will improve the interpretability of findings from interventions targeting cognitive function.