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Assessing cross-national invariance of the Community Assessment of Psychic Experiences (CAPE)

Published online by Cambridge University Press:  05 December 2018

Baptiste Pignon*
Affiliation:
AP-HP, DHU PePSY, Hôpitaux universitaires Henri-Mondor, Pôle de Psychiatrie, Créteil, 94000, France INSERM, U955, team 15, Créteil, 94000, France Fondation FondaMental, Créteil, 94000, France UPEC, Université Paris-Est, Faculté de médecine, Créteil, 94000, France
Hugo Peyre
Affiliation:
Child and Adolescent Psychiatry Department, Assistance Publique-Hôpitaux de Paris, Robert Debré Hospital, Paris, France Cognitive Sciences and Psycholinguistic Laboratory, Ecole Normale Supérieure, Paris, France
Aziz Ferchiou
Affiliation:
AP-HP, DHU PePSY, Hôpitaux universitaires Henri-Mondor, Pôle de Psychiatrie, Créteil, 94000, France INSERM, U955, team 15, Créteil, 94000, France Fondation FondaMental, Créteil, 94000, France UPEC, Université Paris-Est, Faculté de médecine, Créteil, 94000, France
Jim van Os
Affiliation:
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 Department of Psychosis Studies, Institute of Psychiatry, King's College London, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK
Bart P. F. Rutten
Affiliation:
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
Robin M. Murray
Affiliation:
Department of Psychosis Studies, Institute of Psychiatry, King's College London, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK
Craig Morgan
Affiliation:
Department of Health Service and Population Research, Institute of Psychiatry, King's College London, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK
Marion Leboyer
Affiliation:
AP-HP, DHU PePSY, Hôpitaux universitaires Henri-Mondor, Pôle de Psychiatrie, Créteil, 94000, France INSERM, U955, team 15, Créteil, 94000, France Fondation FondaMental, Créteil, 94000, France UPEC, Université Paris-Est, Faculté de médecine, Créteil, 94000, France
Franck Schürhoff
Affiliation:
AP-HP, DHU PePSY, Hôpitaux universitaires Henri-Mondor, Pôle de Psychiatrie, Créteil, 94000, France INSERM, U955, team 15, Créteil, 94000, France Fondation FondaMental, Créteil, 94000, France UPEC, Université Paris-Est, Faculté de médecine, Créteil, 94000, France
Andrei Szöke
Affiliation:
AP-HP, DHU PePSY, Hôpitaux universitaires Henri-Mondor, Pôle de Psychiatrie, Créteil, 94000, France INSERM, U955, team 15, Créteil, 94000, France Fondation FondaMental, Créteil, 94000, France UPEC, Université Paris-Est, Faculté de médecine, Créteil, 94000, France
*
Author for correspondence: Baptiste Pignon, E-mail: [email protected]

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.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2018 

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Footnotes

*

See at the end of the Article for more details.

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