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Elsevier, Psychiatry Research, 1(206), p. 75-80, 2013

DOI: 10.1016/j.psychres.2012.09.015

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Using multidimensional modeling to combine self-report symptoms with clinical judgment of schizotypy

This paper is available in a repository.
This paper is available in a repository.

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Abstract

BACKGROUND: This study investigated psychometric properties of two widely used instruments to measure subclinical levels of psychosis, the Community Assessment of Psychic Experiences (CAPE) and the Structured Interview for Schizotypy-Revised (SIS-R), and aimed to enhance measurements through the use of multidimensional measurement models. METHODS: Data were collected in 747 siblings of schizophrenia patients and 341 healthy controls. Multidimensional Item-Response Theory, Mokken Scale and ordinal factor analyses were performed. RESULTS: Both instruments showed good psychometric properties and were measurement invariant across siblings and controls. The latent traits measured by the instruments show a correlation of 0.62 in siblings and 0.47 in controls. Multidimensional modeling resulted in smaller standard errors for SIS-R scores. CONCLUSIONS: By exploiting correlations among related traits through multidimensional models, scores from one diagnostic instrument can be estimated more reliably by making use of information from instruments that measure related traits.