Baptiste Pignon1,2,3,4, Hugo Peyre5,6, Aziz Ferchiou1,2,3,4, Jim van Os7,8, Bart P F Rutten7, Robin M Murray8, Craig Morgan9, Marion Leboyer1,2,3,4, Franck Schürhoff1,2,3,4, Andrei Szöke1,2,3,4. 1. AP-HP, DHU PePSY, Hôpitaux universitaires Henri-Mondor, Pôle de Psychiatrie, Créteil, 94000, France. 2. INSERM, U955, team 15, Créteil, 94000, France. 3. Fondation FondaMental, Créteil, 94000, France. 4. UPEC, Université Paris-Est, Faculté de médecine, Créteil, 94000, France. 5. Child and Adolescent Psychiatry Department, Assistance Publique-Hôpitaux de Paris, Robert Debré Hospital, Paris, France. 6. Cognitive Sciences and Psycholinguistic Laboratory, Ecole Normale Supérieure, Paris, France. 7. Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, P.O. Box 616, 6200 MD Maastricht, The Netherlands. 8. Department of Psychosis Studies, Institute of Psychiatry, King's College London, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK. 9. Department of Health Service and Population Research, Institute of Psychiatry, King's College London, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK.
Abstract
BACKGROUND: The Community Assessment of Psychic Experiences (CAPE) is a 42-item self-report questionnaire that has been developed and validated to measure the dimensions of psychosis in the general population. The CAPE has a three-factor structure with dimensions of positive, negative and depression. Assessing the cross-national equivalence of a questionnaire is an essential prerequisite before pooling data from different countries. In this study, our aim was to investigate the measurement invariance of the CAPE across different countries. METHODS: Data were drawn from the European Union Gene-Environment Interaction (EU-GEI) study. Participants (incident cases of psychotic disorder, controls and siblings of cases) were recruited in Brazil, France, Italy, the Netherlands, Spain and UK. To analyse the measurement invariance across these samples, we tested configural invariance (i.e. identical structures of the factors), metric invariance (i.e. equivalence of the factor loadings) and scalar invariance (i.e. equivalence of the thresholds) of the three CAPE dimensions using multigroup categorical confirmatory factor analysis methods. RESULTS: The configural invariance model fits well, providing evidence for identical factorial structure across countries. In comparison with the configural model invariance, the fit indices were very similar in the metric and scalar invariance models, indicating that factor loadings and thresholds did not differ across the six countries. CONCLUSION: We found that, across six countries, the CAPE showed equivalent factorial structure, factor loadings and thresholds. Thus, differences observed in scores between individuals from different countries should be considered as reflecting different levels of psychosis.
BACKGROUND: The Community Assessment of Psychic Experiences (CAPE) is a 42-item self-report questionnaire that has been developed and validated to measure the dimensions of psychosis in the general population. The CAPE has a three-factor structure with dimensions of positive, negative and depression. Assessing the cross-national equivalence of a questionnaire is an essential prerequisite before pooling data from different countries. In this study, our aim was to investigate the measurement invariance of the CAPE across different countries. METHODS: Data were drawn from the European Union Gene-Environment Interaction (EU-GEI) study. Participants (incident cases of psychotic disorder, controls and siblings of cases) were recruited in Brazil, France, Italy, the Netherlands, Spain and UK. To analyse the measurement invariance across these samples, we tested configural invariance (i.e. identical structures of the factors), metric invariance (i.e. equivalence of the factor loadings) and scalar invariance (i.e. equivalence of the thresholds) of the three CAPE dimensions using multigroup categorical confirmatory factor analysis methods. RESULTS: The configural invariance model fits well, providing evidence for identical factorial structure across countries. In comparison with the configural model invariance, the fit indices were very similar in the metric and scalar invariance models, indicating that factor loadings and thresholds did not differ across the six countries. CONCLUSION: We found that, across six countries, the CAPE showed equivalent factorial structure, factor loadings and thresholds. Thus, differences observed in scores between individuals from different countries should be considered as reflecting different levels of psychosis.
Entities:
Keywords:
Community Assessment of Psychic Experiences (CAPE); cross-national invariance; psychotic experiences; schizotypy
Authors: Baptiste Pignon; Mohamed Lajnef; James B Kirkbride; Hugo Peyre; Aziz Ferchiou; Jean-Romain Richard; Grégoire Baudin; Sarah Tosato; Hannah Jongsma; Lieuwe de Haan; Ilaria Tarricone; Miguel Bernardo; Eva Velthorst; Mauro Braca; Celso Arango; Manuel Arrojo; Julio Bobes; Cristina Marta Del-Ben; Marta Di Forti; Charlotte Gayer-Anderson; Peter B Jones; Caterina La Cascia; Antonio Lasalvia; Paulo Rossi Menezes; Diego Quattrone; Julio Sanjuán; Jean-Paul Selten; Andrea Tortelli; Pierre-Michel Llorca; Jim van Os; Bart P F Rutten; Robin M Murray; Craig Morgan; Marion Leboyer; Andrei Szöke; Franck Schürhoff Journal: Schizophr Bull Date: 2021-10-21 Impact factor: 9.306
Authors: Taciana C C Ragazzi; Rosana Shuhama; Jorge Sinval; João Marôco; Fabiana Corsi-Zuelli; Daiane L da Roza; Jim van Os; Paulo R Menezes; Cristina M Del-Ben Journal: Braz J Psychiatry Date: 2020-02-21 Impact factor: 2.697
Authors: Edo S Jaya; Therese van Amelsvoort; Agna A Bartels-Velthuis; Richard Bruggeman; Wiepke Cahn; Lieuwe de Haan; Rene S Kahn; Jim van Os; Frederike Schirmbeck; Claudia J P Simons; Tania M Lincoln Journal: Int J Methods Psychiatr Res Date: 2021-08-31 Impact factor: 4.035
Authors: B Pignon; H Peyre; A Ayrolles; J B Kirkbride; S Jamain; A Ferchiou; J R Richard; G Baudin; S Tosato; H Jongsma; L de Haan; I Tarricone; M Bernardo; E Velthorst; M Braca; C Arango; M Arrojo; J Bobes; C M Del-Ben; M Di Forti; C Gayer-Anderson; P B Jones; C La Cascia; A Lasalvia; P R Menezes; D Quattrone; J Sanjuán; J P Selten; A Tortelli; P M Llorca; J van Os; B P F Rutten; R M Murray; C Morgan; M Leboyer; A Szöke; F Schürhoff Journal: Epidemiol Psychiatr Sci Date: 2022-09-27 Impact factor: 7.818