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Using Rasch model and confirmatory factor analysis to assess instrument for Clothing Fashion Design Competency


Citation

K., Arasinah and Bakar, Ab. Rahim and Hamzah, Ramlah and Asimiran, Soaib and H., Zaliza (2015) Using Rasch model and confirmatory factor analysis to assess instrument for Clothing Fashion Design Competency. International Journal of Social Science and Humanity, 5 (5). pp. 418-421. ISSN 2010-3646

Abstract

The study aimed to determine the validity, reliability, polarity and fitness of the items, as well as to confirm the measurement model of Clothing Fashion Design Competency (CFaDC). Winsteps software was used to test the validity and reliability of the instrument, meanwhile AMOS was used to verify the measurement model. The results show the index of the items, the reliability of the individual (person) and high separation of the items and individual isolation. The results also show that the instrument is consistent, valid, stable and reliable if being administered into another sample with similar characteristics. Polarity items indicate that there were 4 knowledge items that measured other constructs and the items were dropped. A total of 31 knowledge items and 16 skills items were detected as misfit and were also dropped. Measurement model was fitted to the data and was accepted based on the suitability index (Fit Indices) that has been achieved, namely: CMIN χ ² = 1306,979, with degrees of freedom (df) 680, CMIN/df = 1.922 (< 5.0), CFI = 0.941 (> 0.90), IFI = .941 (> 0.90), TLI = 0.935 (> 0.90) and RMSEA = 0.053 (< 0.08). The instrument has been proven to be a good instrument and passed the psychometric standards.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Educational Studies
DOI Number: https://doi.org/10.7763/IJSSH.2015.V5.492
Publisher: International Association of Computer Science and Information Technology (I A C S I T)
Keywords: Knowledge; Rasch model; Structural equation modelling; Skill
Depositing User: Ms. Ainur Aqidah Hamzah
Date Deposited: 08 Jul 2022 23:18
Last Modified: 08 Jul 2022 23:18
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi= 10.7763/IJSSH.2015.V5.492
URI: http://psasir.upm.edu.my/id/eprint/46837
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