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An application of item response mixture modelling to psychosis indicators in two large community samples

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Shevlin, M, Adamson, Gary, Vollebergh, Wilma, de Graaf, Ron and van Os, Jim (2007) An application of item response mixture modelling to psychosis indicators in two large community samples. SOCIAL PSYCHIATRY AND PSYCHIATRIC EPIDEMIOLOGY, 42 (10). pp. 771-779. [Journal article]

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DOI: 10.1007/s00127-007-0244-6

Abstract

Objective Previous research has suggested that psychosis is better described as a continuum rather than a dichotomous entity. This study aimed to describe the distribution of positive psychosis-like symptoms in two large community samples using an item response mixture model. Methods An item response mixture model was used to explain the pattern of psychosis-like symptom endorsement. This model incorporated two elements. First, a continuous non-normal latent variable to explain the observed pattern of data. Second, a categorical latent variable to explain the variation in the continuous non-normal latent variable. Results For both samples, representing broadly and narrowly defined psychosis, the best fitting model was a four-class solution. In both cases, the classes differed quantitatively rather than qualitatively. Conclusions The analysis showed that psychosis-like symptoms at the population level could be best explained by four classes that appeared to represent an underlying continuum.

Item Type:Journal article
Faculties and Schools:Faculty of Life and Health Sciences
Faculty of Life and Health Sciences > School of Psychology
Research Institutes and Groups:Psychology Research Institute
Psychology Research Institute > Health and Wellbeing
ID Code:1512
Deposited By:Mrs Fiona Harkin
Deposited On:23 Dec 2009 09:08
Last Modified:12 Mar 2012 16:43

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