Literaturnachweis - Detailanzeige
Autor/inn/en | Hadie, Siti Nurma Hanim; Hassan, Asma'; Ismail, Zul Izhar Mohd; Asari, Mohd Asnizam; Khan, Aaijaz Ahmed; Kasim, Fazlina; Yusof, Nurul Aiman Mohd; Manan@Sulong, Husnaida Abdul; Tg Muda, Tg Fatimah Murniwati; Arifin, Wan Nor; Yusoff, Muhamad Saiful Bahri |
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Titel | Anatomy Education Environment Measurement Inventory: A Valid Tool to Measure the Anatomy Learning Environment |
Quelle | In: Anatomical Sciences Education, 10 (2017) 5, S.423-432 (10 Seiten)
PDF als Volltext |
Zusatzinformation | ORCID (Hadie, Siti Nurma Hanim) |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 1935-9772 |
DOI | 10.1002/ase.1683 |
Schlagwörter | Anatomy; Educational Environment; Measures (Individuals); Delphi Technique; Student Attitudes; Medical Students; Medical Schools; Foreign Countries; Content Validity; Test Reliability; Factor Analysis; Goodness of Fit; Psychometrics; Malaysia |
Abstract | Students' perceptions of the education environment influence their learning. Ever since the major medical curriculum reform, anatomy education has undergone several changes in terms of its curriculum, teaching modalities, learning resources, and assessment methods. By measuring students' perceptions concerning anatomy education environment, valuable information can be obtained to facilitate improvements in teaching and learning. Hence, it is important to use a valid inventory that specifically measures attributes of the anatomy education environment. In this study, a new 11-factor, 132-items Anatomy Education Environment Measurement Inventory (AEEMI) was developed using Delphi technique and was validated in a Malaysian public medical school. The inventory was found to have satisfactory content evidence (scale-level content validity index [total] = 0.646); good response process evidence (scale-level face validity index [total] = 0.867); and acceptable to high internal consistency, with the Raykov composite reliability estimates of the six factors are in the range of 0.604-0.876. The best fit model of the AEEMI is achieved with six domains and 25 items (X[superscript 2] = 415.67, P < 0.001, ChiSq/df = 1.63, RMSEA = 0.045, GFI = 0.905, CFI = 0.937, NFI = 0.854, TLI = 0.926). Hence, AEEMI was proven to have good psychometric properties, and thus could be used to measure the anatomy education environment in Malaysia. A concerted collaboration should be initiated toward developing a valid universal tool that, using the methods outlined in this study, measures the anatomy education environment across different institutions and countries. (As Provided). |
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Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2020/1/01 |