Anatomy Education Environment Measurement Inventory: A Valid Tool to Measure the Anatomy Learning Environment

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Bibliographic Details
Title: Anatomy Education Environment Measurement Inventory: A Valid Tool to Measure the Anatomy Learning Environment
Language: English
Authors: Hadie, Siti Nurma Hanim (ORCID 0000-0001-9046-9379), Hassan, Asma', Ismail, Zul Izhar Mohd, Asari, Mohd Asnizam, Khan, Aaijaz Ahm, Kasim, Fazlina, Yusof, Nurul Aiman Mohd, Manan@Sulong, Husnaida Abdul, Tg Muda, Tg Fatimah Murniwati, Arifin, Wan Nor, Yusoff, Muhamad Saiful Bahri
Source: Anatomical Sciences Education. Sep-Oct 2017 10(5):423-432.
Availability: Wiley-Blackwell. 350 Main Street, Malden, MA 02148. Tel: 800-835-6770; Tel: 781-388-8598; Fax: 781-388-8232; e-mail: cs-journals@wiley.com; Web site: http://www.wiley.com/WileyCDA
Peer Reviewed: Y
Page Count: 10
Publication Date: 2017
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Descriptors: 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
Geographic Terms: Malaysia
DOI: 10.1002/ase.1683
ISSN: 1935-9772
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.
Abstractor: As Provided
Entry Date: 2017
Accession Number: EJ1153168
Database: ERIC
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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.
ISSN:1935-9772
DOI:10.1002/ase.1683