Confirmatory factor analysis of the German Readiness for Interprofessional Learning Scale (RIPLS-D).
Identifieur interne : 000931 ( Ncbi/Curation ); précédent : 000930; suivant : 000932Confirmatory factor analysis of the German Readiness for Interprofessional Learning Scale (RIPLS-D).
Auteurs : Cornelia Mahler [Allemagne] ; Marianne Giesler [Allemagne] ; Christian Stock [Allemagne] ; Johannes Krisam [Allemagne] ; Sven Karstens [Allemagne] ; Joachim Szecsenyi [Allemagne] ; Katja Krug [Allemagne]Source :
- Journal of interprofessional care [ 1469-9567 ] ; 2016.
Abstract
Over the past five years, the development of interprofessional education programmes has been gaining momentum in Germany fostering the need to evaluate these with appropriate instruments. Instead of developing a new instrument for evaluation purposes, the Readiness for Interprofessional Learning Scale (RIPLS) was chosen, as it is a widespread instrument that has been used in a variety of different educational settings and countries. The German version of the RIPLS was administered in two sites to health professional students in Heidelberg and Freiburg, Germany. Cronbach's alpha was used to examine internal consistency. Confirmatory factor analysis (CFA) was performed for confirmation of the underlying factor structure of the RIPLS-D. In total, 531 questionnaires were analysed. The instrument showed overall reliability (0.81) and low reliability (< 0.7) in the subscales. The underlying factor structure could not be confirmed. These results contribute further evidence on deficits with the RIPLS. Despite known issues, the RIPLS continues to be translated and applied. This paper highlights the problematic issues in the RIPLS-D and does not recommend its use.
DOI: 10.3109/13561820.2016.1147023
PubMed: 27152543
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</wicri:noRegion></affiliation></author><author><name sortKey="Stock, Christian" sort="Stock, Christian" uniqKey="Stock C" first="Christian" last="Stock">Christian Stock</name><affiliation wicri:level="1"><nlm:affiliation>c Institute of Medical Biometry and Informatics , University Hospital Heidelberg , Heidelberg , Germany.</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>c Institute of Medical Biometry and Informatics , University Hospital Heidelberg , Heidelberg </wicri:regionArea><wicri:noRegion>Heidelberg </wicri:noRegion><wicri:noRegion>Heidelberg </wicri:noRegion><wicri:noRegion>Heidelberg </wicri:noRegion></affiliation></author><author><name sortKey="Krisam, Johannes" sort="Krisam, Johannes" uniqKey="Krisam J" first="Johannes" last="Krisam">Johannes Krisam</name><affiliation wicri:level="1"><nlm:affiliation>c Institute of Medical Biometry and Informatics , University Hospital Heidelberg , Heidelberg , Germany.</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>c Institute of Medical Biometry and Informatics , University Hospital Heidelberg , Heidelberg </wicri:regionArea><wicri:noRegion>Heidelberg </wicri:noRegion><wicri:noRegion>Heidelberg </wicri:noRegion><wicri:noRegion>Heidelberg </wicri:noRegion></affiliation></author><author><name sortKey="Karstens, Sven" sort="Karstens, Sven" uniqKey="Karstens S" first="Sven" last="Karstens">Sven Karstens</name><affiliation wicri:level="1"><nlm:affiliation>d Department of Computer Science, Therapeutic Sciences , Trier University of Applied Sciences , Trier , Germany.</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>d Department of Computer Science, Therapeutic Sciences , Trier University of Applied Sciences , Trier </wicri:regionArea><wicri:noRegion>Trier </wicri:noRegion><wicri:noRegion>Trier </wicri:noRegion><wicri:noRegion>Trier </wicri:noRegion></affiliation></author><author><name sortKey="Szecsenyi, Joachim" sort="Szecsenyi, Joachim" uniqKey="Szecsenyi J" first="Joachim" last="Szecsenyi">Joachim Szecsenyi</name><affiliation wicri:level="1"><nlm:affiliation>a General Practice and Health Services Research , University Hospital Heidelberg , Heidelberg , Germany.</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>a General Practice and Health Services Research , University Hospital Heidelberg , Heidelberg </wicri:regionArea><wicri:noRegion>Heidelberg </wicri:noRegion><wicri:noRegion>Heidelberg </wicri:noRegion><wicri:noRegion>Heidelberg </wicri:noRegion></affiliation></author><author><name sortKey="Krug, Katja" sort="Krug, Katja" uniqKey="Krug K" first="Katja" last="Krug">Katja Krug</name><affiliation wicri:level="1"><nlm:affiliation>a General Practice and Health Services Research , University Hospital Heidelberg , Heidelberg , Germany.</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>a General Practice and Health Services Research , University Hospital Heidelberg , Heidelberg </wicri:regionArea><wicri:noRegion>Heidelberg </wicri:noRegion><wicri:noRegion>Heidelberg </wicri:noRegion><wicri:noRegion>Heidelberg </wicri:noRegion></affiliation></author></analytic><series><title level="j">Journal of interprofessional care</title><idno type="eISSN">1469-9567</idno><imprint><date when="2016" type="published">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Over the past five years, the development of interprofessional education programmes has been gaining momentum in Germany fostering the need to evaluate these with appropriate instruments. Instead of developing a new instrument for evaluation purposes, the Readiness for Interprofessional Learning Scale (RIPLS) was chosen, as it is a widespread instrument that has been used in a variety of different educational settings and countries. The German version of the RIPLS was administered in two sites to health professional students in Heidelberg and Freiburg, Germany. Cronbach's alpha was used to examine internal consistency. Confirmatory factor analysis (CFA) was performed for confirmation of the underlying factor structure of the RIPLS-D. In total, 531 questionnaires were analysed. The instrument showed overall reliability (0.81) and low reliability (< 0.7) in the subscales. The underlying factor structure could not be confirmed. These results contribute further evidence on deficits with the RIPLS. Despite known issues, the RIPLS continues to be translated and applied. This paper highlights the problematic issues in the RIPLS-D and does not recommend its use.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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