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

S.M. van den Berg, M.C. Paap, E.M. Derks, R. Bruggeman, W. Cahn, L. de Haan, R. Kahn, L. Krabbendam, D. Linzen, I. Myin-Germeys, J van Os, D. Wiersma

    Research output: Contribution to JournalArticleAcademicpeer-review


    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. 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. 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. 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. © 2012 Elsevier Ireland Ltd.
    Original languageEnglish
    Pages (from-to)75-80
    JournalPsychiatry Research
    Issue number1
    Early online date27 Sept 2012
    Publication statusPublished - 2013


    Dive into the research topics of 'Using multidimensional modeling to combine self-report symptoms with clinical judgment of schizotypy'. Together they form a unique fingerprint.

    Cite this