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Structural classification of employability skills hierarchy using rasch analysis model

This study considers the procedures for conducting item classification employing Raech Analysis Model. The knowledge of the hierarchy enables lecturers to organize their learning objective and also permits the students to measure their employability. The survey study employs exploratory sequential m...

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Main Authors: Olojuolawe,, S. R., Mohd. Amin, N. F., Latif, A. A., Sani, H. A.
Format: Article
Language:English
Published: Blue Eyes Intelligence Engineering and Sciences Publication 2019
Subjects:
L Education (General)
Online Access:http://eprints.utm.my/id/eprint/90930/1/AdibahAbdulLatif2019_StructuralClassificationofEmployability.pdf
http://eprints.utm.my/id/eprint/90930/
http://dx.doi.org/10.35940/ijrte.C5302.098319
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spelling my.utm.909302021-05-31T13:21:05Z http://eprints.utm.my/id/eprint/90930/ Structural classification of employability skills hierarchy using rasch analysis model Olojuolawe,, S. R. Mohd. Amin, N. F. Latif, A. A. Sani, H. A. L Education (General) This study considers the procedures for conducting item classification employing Raech Analysis Model. The knowledge of the hierarchy enables lecturers to organize their learning objective and also permits the students to measure their employability. The survey study employs exploratory sequential mixed methods. It was conducted to identify and give the hierarchy of the skills required by Electrical Technology students in Colleges of Education in Nigeria to be employable. The first phase involved 10 electrical experts from Industry and Colleges of Education who were purposely selected. The analysis of the findings obtained using Nvivo 12 led to the second phase which comprised of 104 respondents. The sample also consists of Electrical Technology expert in both Industry and Academics. In order to ensure that all items fit the Rasch Analysis Model, the fit statistics were performed to refine and remove all misfits item. Because, the item was ordinal and ranked, Partial Credit (Rasch) Model was involved in the treatment. A separation index of 3.28 and 5.28 was obtained for the technical and non-technical skills with a reliability of .91 and .97 respectively. The implication is that each group is unique and therefore, the most basic item at the bottom of the hierarchy must be learned before the next higher-order item. Blue Eyes Intelligence Engineering and Sciences Publication 2019 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/90930/1/AdibahAbdulLatif2019_StructuralClassificationofEmployability.pdf Olojuolawe,, S. R. and Mohd. Amin, N. F. and Latif, A. A. and Sani, H. A. (2019) Structural classification of employability skills hierarchy using rasch analysis model. International Journal of Recent Technology and Engineering, 8 (3). pp. 3581-3591. ISSN 2277-3878 http://dx.doi.org/10.35940/ijrte.C5302.098319 DOI: 10.35940/ijrte.C5302.098319
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic L Education (General)
spellingShingle L Education (General)
Olojuolawe,, S. R.
Mohd. Amin, N. F.
Latif, A. A.
Sani, H. A.
Structural classification of employability skills hierarchy using rasch analysis model
description This study considers the procedures for conducting item classification employing Raech Analysis Model. The knowledge of the hierarchy enables lecturers to organize their learning objective and also permits the students to measure their employability. The survey study employs exploratory sequential mixed methods. It was conducted to identify and give the hierarchy of the skills required by Electrical Technology students in Colleges of Education in Nigeria to be employable. The first phase involved 10 electrical experts from Industry and Colleges of Education who were purposely selected. The analysis of the findings obtained using Nvivo 12 led to the second phase which comprised of 104 respondents. The sample also consists of Electrical Technology expert in both Industry and Academics. In order to ensure that all items fit the Rasch Analysis Model, the fit statistics were performed to refine and remove all misfits item. Because, the item was ordinal and ranked, Partial Credit (Rasch) Model was involved in the treatment. A separation index of 3.28 and 5.28 was obtained for the technical and non-technical skills with a reliability of .91 and .97 respectively. The implication is that each group is unique and therefore, the most basic item at the bottom of the hierarchy must be learned before the next higher-order item.
format Article
author Olojuolawe,, S. R.
Mohd. Amin, N. F.
Latif, A. A.
Sani, H. A.
author_facet Olojuolawe,, S. R.
Mohd. Amin, N. F.
Latif, A. A.
Sani, H. A.
author_sort Olojuolawe,, S. R.
title Structural classification of employability skills hierarchy using rasch analysis model
title_short Structural classification of employability skills hierarchy using rasch analysis model
title_full Structural classification of employability skills hierarchy using rasch analysis model
title_fullStr Structural classification of employability skills hierarchy using rasch analysis model
title_full_unstemmed Structural classification of employability skills hierarchy using rasch analysis model
title_sort structural classification of employability skills hierarchy using rasch analysis model
publisher Blue Eyes Intelligence Engineering and Sciences Publication
publishDate 2019
url http://eprints.utm.my/id/eprint/90930/1/AdibahAbdulLatif2019_StructuralClassificationofEmployability.pdf
http://eprints.utm.my/id/eprint/90930/
http://dx.doi.org/10.35940/ijrte.C5302.098319
_version_ 1702169621738553344
score 13.211869

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