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Developing an international scoring system for a consensus-based social cognition measure: MSCEIT-managing emotions

Published online by Cambridge University Press:  26 April 2017

G. S. Hellemann ,
M. F. Green ,
R. S. Kern ,
G. Sitarenios  and
K. H. Nuechterlein
G. S. Hellemann
Affiliation:
Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, California 90095, USA VISN 22 Mental Health Mental Illness Research, Education, and Clinical Center (MIRECC), Los Angeles CA, USA
M. F. Green*
Affiliation:
Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, California 90095, USA VISN 22 Mental Health Mental Illness Research, Education, and Clinical Center (MIRECC), Los Angeles CA, USA VA Research Enhancement Award Program (REAP) on Enhancing Community Integration for Homeless Veterans, Los Angeles CA, USA
R. S. Kern
Affiliation:
Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, California 90095, USA VISN 22 Mental Health Mental Illness Research, Education, and Clinical Center (MIRECC), Los Angeles CA, USA VA Research Enhancement Award Program (REAP) on Enhancing Community Integration for Homeless Veterans, Los Angeles CA, USA
G. Sitarenios
Affiliation:
Multi-Health Systems Inc., Toronto, Canada
K. H. Nuechterlein
Affiliation:
Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, California 90095, USA Department of Psychology, University of California, Los Angeles, California 90095, USA
*
*Address for corresponding author: M. F. Green, Ph.D., UCLA Semel Institute for Neuroscience and Human Behavior, 760 Westwood Plaza, 27-462, Los Angeles, California 90095, USA. (Email: [email protected])
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Abstract

Background

Measures of social cognition are increasingly being applied to psychopathology, including studies of schizophrenia and other psychotic disorders. Tests of social cognition present unique challenges for international adaptations. The Mayer–Salovey–Caruso Emotional Intelligence Test, Managing Emotions Branch (MSCEIT-ME) is a commonly-used social cognition test that involves the evaluation of social scenarios presented in vignettes.

Method

This paper presents evaluations of translations of this test in six different languages based on representative samples from the relevant countries. The goal was to identify items from the MSCEIT-ME that show different response patterns across countries using indices of discrepancy and content validity criteria. An international version of the MSCEIT-ME scoring was developed that excludes items that showed undesirable properties across countries.

Results

We then confirmed that this new version had better performance (i.e. less discrepancy across regions) in international samples than the version based on the original norms. Additionally, it provides scores that are comparable to ratings based on local norms.

Conclusions

This paper shows that it is possible to adapt complex social cognitive tasks so they can provide valid data across different cultural contexts.

Keywords

social cognitiontest developmentclinical trialsinternational translation
Type
Original Articles
Information
Psychological Medicine , Volume 47 , Issue 14 , October 2017 , pp. 2494 - 2501
Copyright
Copyright © Cambridge University Press 2017 

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