Development of Automotive Technology Instrument Using Rasch Analysis
Journal Title: International Journal of engineering Research and Applications - Year 2018, Vol 8, Issue 9
Abstract
This study aims to test the validity and reliability of Automotive Technology Instrument using Rasch analysis. The objective of this study is to measure the instrument with the tests in Rasch's analysis such as fit items, item polarity, unidimensionality, item reliability and reliability of respondents. This instrument is divided into two constructs namely knowledge competence and skills competence. Knowledge competence is divided into three substructures namely administration knowledge, marketing knowledge and management knowledge that contains 58 skill items. Skills competence comprises four subconstructs: assembly skills, overhaul skills, service skills and diagnostic skills that contain 100 items. Knowledge items consist of multiple choice questions while skill items are five-point likert scale. The Automotive Technology Instruments questionnaire was administered to 240 teaching staff of the Training Skills Institute (ILK). Instructors' feedback data is included in the Statistical Package for the Social Science (SPSS) version 23.0 program before being imported into the Winstep v3.72.3 program. This study shows that the Rasch Model can help researchers build a good instrument as the items constructed offset psychometric standards.
Authors and Affiliations
Sariati Talib, Arasinah Kamis
Keywords
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- EP ID EP395150
- DOI 10.9790/9622-0809030110.
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