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The DREEM, part 2: psychometric properties in an osteopathic student population

BACKGROUND: The Dundee Ready Educational Environment Measure (DREEM) is widely used to assess the educational environment in health professional education programs. A number of authors have identified issues with the psychometric properties of the DREEM. Part 1 of this series of papers presented the...

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Autores principales: Vaughan, Brett, Mulcahy, Jane, McLaughlin, Patrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4050100/
https://www.ncbi.nlm.nih.gov/pubmed/24884704
http://dx.doi.org/10.1186/1472-6920-14-100
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author Vaughan, Brett
Mulcahy, Jane
McLaughlin, Patrick
author_facet Vaughan, Brett
Mulcahy, Jane
McLaughlin, Patrick
author_sort Vaughan, Brett
collection PubMed
description BACKGROUND: The Dundee Ready Educational Environment Measure (DREEM) is widely used to assess the educational environment in health professional education programs. A number of authors have identified issues with the psychometric properties of the DREEM. Part 1 of this series of papers presented the quantitative data obtained from the DREEM in the context of an Australian osteopathy program. The present study used both classical test theory and item response theory to investigate the DREEM psychometric properties in an osteopathy student population. METHODS: Students in the osteopathy program at Victoria University (Melbourne, Australia) were invited to complete the DREEM and a demographic questionnaire at the end of the 2013 teaching year (October 2013). Data were analysed using both classical test theory (confirmatory factor analysis) and item response theory (Rasch analysis). RESULTS: Confirmatory factor analysis did not demonstrate model fit for the original 5-factor DREEM subscale structure. Rasch analysis failed to identify a unidimensional model fit for the 50-item scale, however model fit was achieved for each of the 5 subscales independently. A 12-item version of the DREEM was developed that demonstrated good fit to the Rasch model, however, there may be an issue with the targeting of this scale given the mean item-person location being greater than 1. CONCLUSIONS: Given that the full 50-item scale is not unidimensional; those using the DREEM should avoid calculating a total score for the scale. The 12-item ‘short-form’ of the DREEM warrants further investigation as does the subscale structure. To confirm the reliability of the DREEM, as a measure to evaluate the appropriateness of the educational environment of health professionals, further work is required to establish the psychometric properties of the DREEM, with a range of student populations.
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spelling pubmed-40501002014-06-11 The DREEM, part 2: psychometric properties in an osteopathic student population Vaughan, Brett Mulcahy, Jane McLaughlin, Patrick BMC Med Educ Research Article BACKGROUND: The Dundee Ready Educational Environment Measure (DREEM) is widely used to assess the educational environment in health professional education programs. A number of authors have identified issues with the psychometric properties of the DREEM. Part 1 of this series of papers presented the quantitative data obtained from the DREEM in the context of an Australian osteopathy program. The present study used both classical test theory and item response theory to investigate the DREEM psychometric properties in an osteopathy student population. METHODS: Students in the osteopathy program at Victoria University (Melbourne, Australia) were invited to complete the DREEM and a demographic questionnaire at the end of the 2013 teaching year (October 2013). Data were analysed using both classical test theory (confirmatory factor analysis) and item response theory (Rasch analysis). RESULTS: Confirmatory factor analysis did not demonstrate model fit for the original 5-factor DREEM subscale structure. Rasch analysis failed to identify a unidimensional model fit for the 50-item scale, however model fit was achieved for each of the 5 subscales independently. A 12-item version of the DREEM was developed that demonstrated good fit to the Rasch model, however, there may be an issue with the targeting of this scale given the mean item-person location being greater than 1. CONCLUSIONS: Given that the full 50-item scale is not unidimensional; those using the DREEM should avoid calculating a total score for the scale. The 12-item ‘short-form’ of the DREEM warrants further investigation as does the subscale structure. To confirm the reliability of the DREEM, as a measure to evaluate the appropriateness of the educational environment of health professionals, further work is required to establish the psychometric properties of the DREEM, with a range of student populations. BioMed Central 2014-05-20 /pmc/articles/PMC4050100/ /pubmed/24884704 http://dx.doi.org/10.1186/1472-6920-14-100 Text en Copyright © 2014 Vaughan et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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
Vaughan, Brett
Mulcahy, Jane
McLaughlin, Patrick
The DREEM, part 2: psychometric properties in an osteopathic student population
title The DREEM, part 2: psychometric properties in an osteopathic student population
title_full The DREEM, part 2: psychometric properties in an osteopathic student population
title_fullStr The DREEM, part 2: psychometric properties in an osteopathic student population
title_full_unstemmed The DREEM, part 2: psychometric properties in an osteopathic student population
title_short The DREEM, part 2: psychometric properties in an osteopathic student population
title_sort dreem, part 2: psychometric properties in an osteopathic student population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4050100/
https://www.ncbi.nlm.nih.gov/pubmed/24884704
http://dx.doi.org/10.1186/1472-6920-14-100
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