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Article: Which of the four models? Examining the measurement properties of the Interdisciplinary Education Perception Scale (IEPS) in healthcare and socialcare prelicensure curriculum in Hong Kong

TitleWhich of the four models? Examining the measurement properties of the Interdisciplinary Education Perception Scale (IEPS) in healthcare and socialcare prelicensure curriculum in Hong Kong
Authors
KeywordsConfirmatory factor analysis
interdisciplinary
interprofessional collaboration
validation
Issue Date2019
PublisherInforma Healthcare. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/13561820.html
Citation
Journal of Interprofessional Care, 2019, v. 33 n. 1, p. 1-7 How to Cite?
AbstractInterdisciplinary Education Perception Scale (IEPS) is one of the popular measures of perceptions of collaboration. In its original inception, a four-factor model was proposed but subsequent study offered alternative measurement models: three-factor model, two-factor model, and further revision of the three-factor model. Despite the changes in the model structures, none of these has been examined in the Asian context which could have paved the way for local researchers to start representing Asian perspectives in the discussion of interprofessional practice and cooperation in medical education. This study therefore aimed to examine the measurement properties of the IEPS by testing the four a priori models using the data from 335 Chinese students from eight prelicensure health and social care programs from two universities in Hong Kong. Through item analysis, confirmatory factor analysis, and regression, the results suggest that the 12-item, three-factor model best represented the sample and was invariant across genders and year levels. Theoretical and practical implications to interdisciplinary education literature are discussed.
Persistent Identifierhttp://hdl.handle.net/10722/259083
ISSN
2023 Impact Factor: 1.9
2023 SCImago Journal Rankings: 1.036
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorGanotice, FA-
dc.contributor.authorChan, LK-
dc.date.accessioned2018-09-03T04:01:14Z-
dc.date.available2018-09-03T04:01:14Z-
dc.date.issued2019-
dc.identifier.citationJournal of Interprofessional Care, 2019, v. 33 n. 1, p. 1-7-
dc.identifier.issn1356-1820-
dc.identifier.urihttp://hdl.handle.net/10722/259083-
dc.description.abstractInterdisciplinary Education Perception Scale (IEPS) is one of the popular measures of perceptions of collaboration. In its original inception, a four-factor model was proposed but subsequent study offered alternative measurement models: three-factor model, two-factor model, and further revision of the three-factor model. Despite the changes in the model structures, none of these has been examined in the Asian context which could have paved the way for local researchers to start representing Asian perspectives in the discussion of interprofessional practice and cooperation in medical education. This study therefore aimed to examine the measurement properties of the IEPS by testing the four a priori models using the data from 335 Chinese students from eight prelicensure health and social care programs from two universities in Hong Kong. Through item analysis, confirmatory factor analysis, and regression, the results suggest that the 12-item, three-factor model best represented the sample and was invariant across genders and year levels. Theoretical and practical implications to interdisciplinary education literature are discussed.-
dc.languageeng-
dc.publisherInforma Healthcare. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/13561820.html-
dc.relation.ispartofJournal of Interprofessional Care-
dc.subjectConfirmatory factor analysis-
dc.subjectinterdisciplinary-
dc.subjectinterprofessional collaboration-
dc.subjectvalidation-
dc.titleWhich of the four models? Examining the measurement properties of the Interdisciplinary Education Perception Scale (IEPS) in healthcare and socialcare prelicensure curriculum in Hong Kong-
dc.typeArticle-
dc.identifier.emailChan, LK: lapki@hku.hk-
dc.identifier.authorityChan, LK=rp00536-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/13561820.2018.1512958-
dc.identifier.pmid30160544-
dc.identifier.scopuseid_2-s2.0-85060300217-
dc.identifier.hkuros289441-
dc.identifier.volume33-
dc.identifier.issue1-
dc.identifier.spage1-
dc.identifier.epage7-
dc.identifier.isiWOS:000455493700001-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl1356-1820-

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