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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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 > Health and Wellbeing|
Psychology Research Institute
|Deposited By:||Mrs Fiona Harkin|
|Deposited On:||23 Dec 2009 09:08|
|Last Modified:||12 Mar 2012 16:43|
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