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Cross-validation of a learning climate instrument in a non-western postgraduate clinical environment

BACKGROUND: In postgraduate training, there is a need to continuously assess the learning and working conditions to optimize learning. Students or trainees respond to the learning climate as they perceive it. The Dutch Residency Educational Climate Test (D-RECT) is a learning climate measurement too...

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Autores principales: Pacifico, Jaime L., van der Vleuten, Cees P. M., Muijtjens, Arno M. M., Sana, Erlyn A., Heeneman, Sylvia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5785826/
https://www.ncbi.nlm.nih.gov/pubmed/29370793
http://dx.doi.org/10.1186/s12909-018-1127-0
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author Pacifico, Jaime L.
van der Vleuten, Cees P. M.
Muijtjens, Arno M. M.
Sana, Erlyn A.
Heeneman, Sylvia
author_facet Pacifico, Jaime L.
van der Vleuten, Cees P. M.
Muijtjens, Arno M. M.
Sana, Erlyn A.
Heeneman, Sylvia
author_sort Pacifico, Jaime L.
collection PubMed
description BACKGROUND: In postgraduate training, there is a need to continuously assess the learning and working conditions to optimize learning. Students or trainees respond to the learning climate as they perceive it. The Dutch Residency Educational Climate Test (D-RECT) is a learning climate measurement tool with well-substantiated validity. However, it was originally designed for Dutch postgraduate trainees and it remains to be shown whether extrapolation to non-Western settings is viable. The dual objective of this study was to revalidate D-RECT outside of a Western setting and to evaluate the factor structure of a recently revised version of the D-RECT containing 35 items. METHODS: We invited Filipino internal medicine residents from 96 hospitals to complete the revised 35-item D-RECT. Subsequently, we performed a confirmatory factor analysis to check the fit of the 9 scale model of the revised 35-item D-RECT. Inter-rater reliability was assessed using generalizability theory. RESULTS: Confirmatory factor analysis unveiled that the factor structure of the revised 35-item D-RECT provided a reasonable fit to the Filipino data, after removal of 7 items. Five to seven evaluations of individual residents were needed per scale to obtain a reliable result. CONCLUSION: Even in a non-Western setting, the D-RECT exhibited psychometric validity. This study validated the factor structure of the revised 35-item D-RECT after some modifications. We recommend that its application be extended to other Asian countries and specialties.
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spelling pubmed-57858262018-02-07 Cross-validation of a learning climate instrument in a non-western postgraduate clinical environment Pacifico, Jaime L. van der Vleuten, Cees P. M. Muijtjens, Arno M. M. Sana, Erlyn A. Heeneman, Sylvia BMC Med Educ Research Article BACKGROUND: In postgraduate training, there is a need to continuously assess the learning and working conditions to optimize learning. Students or trainees respond to the learning climate as they perceive it. The Dutch Residency Educational Climate Test (D-RECT) is a learning climate measurement tool with well-substantiated validity. However, it was originally designed for Dutch postgraduate trainees and it remains to be shown whether extrapolation to non-Western settings is viable. The dual objective of this study was to revalidate D-RECT outside of a Western setting and to evaluate the factor structure of a recently revised version of the D-RECT containing 35 items. METHODS: We invited Filipino internal medicine residents from 96 hospitals to complete the revised 35-item D-RECT. Subsequently, we performed a confirmatory factor analysis to check the fit of the 9 scale model of the revised 35-item D-RECT. Inter-rater reliability was assessed using generalizability theory. RESULTS: Confirmatory factor analysis unveiled that the factor structure of the revised 35-item D-RECT provided a reasonable fit to the Filipino data, after removal of 7 items. Five to seven evaluations of individual residents were needed per scale to obtain a reliable result. CONCLUSION: Even in a non-Western setting, the D-RECT exhibited psychometric validity. This study validated the factor structure of the revised 35-item D-RECT after some modifications. We recommend that its application be extended to other Asian countries and specialties. BioMed Central 2018-01-25 /pmc/articles/PMC5785826/ /pubmed/29370793 http://dx.doi.org/10.1186/s12909-018-1127-0 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Pacifico, Jaime L.
van der Vleuten, Cees P. M.
Muijtjens, Arno M. M.
Sana, Erlyn A.
Heeneman, Sylvia
Cross-validation of a learning climate instrument in a non-western postgraduate clinical environment
title Cross-validation of a learning climate instrument in a non-western postgraduate clinical environment
title_full Cross-validation of a learning climate instrument in a non-western postgraduate clinical environment
title_fullStr Cross-validation of a learning climate instrument in a non-western postgraduate clinical environment
title_full_unstemmed Cross-validation of a learning climate instrument in a non-western postgraduate clinical environment
title_short Cross-validation of a learning climate instrument in a non-western postgraduate clinical environment
title_sort cross-validation of a learning climate instrument in a non-western postgraduate clinical environment
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5785826/
https://www.ncbi.nlm.nih.gov/pubmed/29370793
http://dx.doi.org/10.1186/s12909-018-1127-0
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