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A cross-national investigation of psychosis-like experiences in five European countries included in the E-CLECTIC study: Psychometric challenges in studying their measurement
S. Siddi, S. Ochoa, F. Larøi, TM. Lincoln, B. Schlier, Y. Zaytseva, J. Laloyaux, E. Kozáková, M. Cella, E. Ntouros, V. Bozikas, NB. Rocha, Ł. Gawęda, SA. Rocha, A. Preti, E-CLECTIC group
Language English Country Ireland
Document type Journal Article
- MeSH
- Adult MeSH
- Factor Analysis, Statistical MeSH
- Hallucinations diagnosis MeSH
- Middle Aged MeSH
- Humans MeSH
- Adolescent MeSH
- Young Adult MeSH
- Psychiatric Status Rating Scales standards MeSH
- Psychometrics * standards MeSH
- Psychotic Disorders * diagnosis psychology MeSH
- Cross-Cultural Comparison MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Adolescent MeSH
- Young Adult MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Geographicals
- Belgium MeSH
- Czech Republic MeSH
- Europe MeSH
- Germany MeSH
- Greece MeSH
- Spain MeSH
BACKGROUND: Psychotic-like experiences (PLEs) are subtle, subclinical perturbations of perceptions and thoughts and are common in the general population. Their characterisation and unidimensionality are still debated. METHODS: This study was conducted by the Electronic-halluCinations-Like Experiences Cross-culTural International Consortium (E-CLECTIC) and aimed at measuring the Community Assessment of Psychic Experiences (CAPE) factorial structure across five European countries (Belgium; Czech Republic, Germany; Greece, and Spain) and testing the adequacy of the unidimensional polytomous Rasch model of the tool via Partial Credit Model (PCM) of the CAPE to detect people with a high risk for developing psychosis. RESULTS: The sample included 1461 participants from the general population. The factorial analysis confirmed the best fit for the bifactor implementation of the three-factor model, including the positive, negative and depressive dimensions and a general factor. Moreover, the unidimensional polytomous Rasch analysis confirmed that CAPE responses reflected one underlying psychosis proneness. CONCLUSIONS: The study proved that the CAPE measures a single latent dimension of psychosis-proneness. The CAPE might help locate and estimate psychosis risk and can be used as a screening tool in primary care settings/education settings.
Centro de Investigación Biomédica en Red de Salud Mental Madrid Spain
Department of Neuroscience University of Turin Turin Italy
Department of Psychiatry The Medical University of Warsaw Warsaw Poland
Department of Psychology University of Oslo Oslo Norway
National Institute of Mental Health Klecany Czech Republic
Psychiatric Department 424 General Military Hospital of Thessaloniki Thessaloniki Greece
Psychology and Neuroscience of Cognition Research Unit University of Liège Liège Belgium
References provided by Crossref.org
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- $a Siddi, Sara $u Parc Sanitari Sant Joan de Déu, Fundació Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, Sant Boi de Llobregat, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain. Electronic address: sara.siddi@sjd.es
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- $a A cross-national investigation of psychosis-like experiences in five European countries included in the E-CLECTIC study: Psychometric challenges in studying their measurement / $c S. Siddi, S. Ochoa, F. Larøi, TM. Lincoln, B. Schlier, Y. Zaytseva, J. Laloyaux, E. Kozáková, M. Cella, E. Ntouros, V. Bozikas, NB. Rocha, Ł. Gawęda, SA. Rocha, A. Preti, E-CLECTIC group
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- $a BACKGROUND: Psychotic-like experiences (PLEs) are subtle, subclinical perturbations of perceptions and thoughts and are common in the general population. Their characterisation and unidimensionality are still debated. METHODS: This study was conducted by the Electronic-halluCinations-Like Experiences Cross-culTural International Consortium (E-CLECTIC) and aimed at measuring the Community Assessment of Psychic Experiences (CAPE) factorial structure across five European countries (Belgium; Czech Republic, Germany; Greece, and Spain) and testing the adequacy of the unidimensional polytomous Rasch model of the tool via Partial Credit Model (PCM) of the CAPE to detect people with a high risk for developing psychosis. RESULTS: The sample included 1461 participants from the general population. The factorial analysis confirmed the best fit for the bifactor implementation of the three-factor model, including the positive, negative and depressive dimensions and a general factor. Moreover, the unidimensional polytomous Rasch analysis confirmed that CAPE responses reflected one underlying psychosis proneness. CONCLUSIONS: The study proved that the CAPE measures a single latent dimension of psychosis-proneness. The CAPE might help locate and estimate psychosis risk and can be used as a screening tool in primary care settings/education settings.
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