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[article]
Titre : |
Translation and validation of the French Movement Imagery Questionnaire – Revised Second version (MIQ-RS) |
Titre original : |
Validation de la traduction française d’un questionnaire d’imagerie mentale : le Movement Imagery Questionnaire – Revised Second version (MIQ-RS) |
Type de document : |
texte imprimé |
Année de publication : |
2013 |
Article en page(s) : |
pp.157-173 |
Langues : |
Français (fre) |
Résumé : |
Introduction
L’imagerie mentale consiste à imaginer mentalement l’exécution d’un mouvement sans que celui-ci soit réellement exécuté. Il existe au moins deux manières de s’imaginer un mouvement, soit en produisant une image visuelle du mouvement soit en simulant les sensations associées au mouvement. L’imagerie mentale est utilisée dans des programmes de rééducation neurologique. L’efficacité de cette rééducation semble dépendante de la façon et de la capacité du sujet à s’imaginer le mouvement. Il semble important de pouvoir tester cette capacité. La version anglophone du Movement Imagery Questionnaire – Revised Second Version (MIQ-RS) permet de tester cette capacité d’imagerie mentale.
Objectif
Traduction et validation de la version française du MIQ-RS.
Méthode
Après la traduction en français du MIQ-RS, nous validons sa cohérence interne, sa reproductibilité entre deux passations et sa validité de construit sur 153 sujets sains.
Résultats
Le coefficient ⍺ de Cronbach pour les deux échelles visuelle et kinesthésique est de 0,90, et les coefficients de corrélation intraclasse sont pour l’ensemble des items kinesthésiques à 0,78, et pour l’ensemble des items visuels à 0,68, confirmant la fiabilité du questionnaire. Les analyses factorielles confirment la structure bidimensionnelle du questionnaire.
Conclusion
La version française du MIQ-RS est disponible. |
Permalink : |
./index.php?lvl=notice_display&id=24158 |
in Annals of physical and rehabilitation medicine > Vol. 56, n°3 (01/04/2013) . - pp.157-173
[article] Translation and validation of the French Movement Imagery Questionnaire – Revised Second version (MIQ-RS) = Validation de la traduction française d’un questionnaire d’imagerie mentale : le Movement Imagery Questionnaire – Revised Second version (MIQ-RS) [texte imprimé] . - 2013 . - pp.157-173. Langues : Français ( fre) in Annals of physical and rehabilitation medicine > Vol. 56, n°3 (01/04/2013) . - pp.157-173
Résumé : |
Introduction
L’imagerie mentale consiste à imaginer mentalement l’exécution d’un mouvement sans que celui-ci soit réellement exécuté. Il existe au moins deux manières de s’imaginer un mouvement, soit en produisant une image visuelle du mouvement soit en simulant les sensations associées au mouvement. L’imagerie mentale est utilisée dans des programmes de rééducation neurologique. L’efficacité de cette rééducation semble dépendante de la façon et de la capacité du sujet à s’imaginer le mouvement. Il semble important de pouvoir tester cette capacité. La version anglophone du Movement Imagery Questionnaire – Revised Second Version (MIQ-RS) permet de tester cette capacité d’imagerie mentale.
Objectif
Traduction et validation de la version française du MIQ-RS.
Méthode
Après la traduction en français du MIQ-RS, nous validons sa cohérence interne, sa reproductibilité entre deux passations et sa validité de construit sur 153 sujets sains.
Résultats
Le coefficient ⍺ de Cronbach pour les deux échelles visuelle et kinesthésique est de 0,90, et les coefficients de corrélation intraclasse sont pour l’ensemble des items kinesthésiques à 0,78, et pour l’ensemble des items visuels à 0,68, confirmant la fiabilité du questionnaire. Les analyses factorielles confirment la structure bidimensionnelle du questionnaire.
Conclusion
La version française du MIQ-RS est disponible. |
Permalink : |
./index.php?lvl=notice_display&id=24158 |
| ![Translation and validation of the French Movement Imagery Questionnaire – Revised Second version (MIQ-RS) 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) 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