Partial least square structural equation modeling in the final phase of product and instrument development using universal design and agile development model
The partial least squares path modeling or PLS-PM, is best known as the partial least squares structural equation modeling or PLS-SEM. It is a method of structural equation modeling. This method allow the estimation of complex cause and effect relationship models with latent variables. This pape...
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| Format: | Article |
| Language: | English |
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Penerbit Universiti Kebangsaan Malaysia
2020
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| Online Access: | http://journalarticle.ukm.my/17368/ http://journalarticle.ukm.my/17368/1/16.pdf |
| _version_ | 1848814297623298048 |
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| author | Rosseni Din, |
| author_facet | Rosseni Din, |
| author_sort | Rosseni Din, |
| building | UKM Institutional Repository |
| collection | Online Access |
| description | The partial least squares path modeling or PLS-PM, is best known as the partial least squares structural equation modeling
or PLS-SEM. It is a method of structural equation modeling. This method allow the estimation of complex cause and effect
relationship models with latent variables. This paper explain how this method can be use in the final stage of a product
design and development study. In the study, learning outcome becomes the center for universal design, development and
implementation processes. There are two stages of major processes. First is the instructional design processes while the
second is the development processes. The development processes ends with usability test. The next phase is the evaluation
phase. Last phase is the modeling processes. The paper will first explain about the localized model of product design and
development procedure. Subsequently it will elaborate the final phase of the second stage processes, which is important
in impact study of product design and development. While at this, the partial least square structural equation modeling
will be explain. It is a powerful statistical technique yet misconceptions happen a lot. Proper techniques is essential for
methodological assumptions in order to attain robust results. Using latest software alone is not enough. |
| first_indexed | 2025-11-15T00:31:51Z |
| format | Article |
| id | oai:generic.eprints.org:17368 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T00:31:51Z |
| publishDate | 2020 |
| publisher | Penerbit Universiti Kebangsaan Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org:173682021-08-23T02:54:40Z http://journalarticle.ukm.my/17368/ Partial least square structural equation modeling in the final phase of product and instrument development using universal design and agile development model Rosseni Din, The partial least squares path modeling or PLS-PM, is best known as the partial least squares structural equation modeling or PLS-SEM. It is a method of structural equation modeling. This method allow the estimation of complex cause and effect relationship models with latent variables. This paper explain how this method can be use in the final stage of a product design and development study. In the study, learning outcome becomes the center for universal design, development and implementation processes. There are two stages of major processes. First is the instructional design processes while the second is the development processes. The development processes ends with usability test. The next phase is the evaluation phase. Last phase is the modeling processes. The paper will first explain about the localized model of product design and development procedure. Subsequently it will elaborate the final phase of the second stage processes, which is important in impact study of product design and development. While at this, the partial least square structural equation modeling will be explain. It is a powerful statistical technique yet misconceptions happen a lot. Proper techniques is essential for methodological assumptions in order to attain robust results. Using latest software alone is not enough. Penerbit Universiti Kebangsaan Malaysia 2020 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/17368/1/16.pdf Rosseni Din, (2020) Partial least square structural equation modeling in the final phase of product and instrument development using universal design and agile development model. Jurnal Kejuruteraan, 3 (1(SI)). pp. 103-109. ISSN 0128-0198 https://www.ukm.my/jkukm/si-31-2020/ |
| spellingShingle | Rosseni Din, Partial least square structural equation modeling in the final phase of product and instrument development using universal design and agile development model |
| title | Partial least square structural equation modeling in the final phase of product and instrument development using universal design and agile development model |
| title_full | Partial least square structural equation modeling in the final phase of product and instrument development using universal design and agile development model |
| title_fullStr | Partial least square structural equation modeling in the final phase of product and instrument development using universal design and agile development model |
| title_full_unstemmed | Partial least square structural equation modeling in the final phase of product and instrument development using universal design and agile development model |
| title_short | Partial least square structural equation modeling in the final phase of product and instrument development using universal design and agile development model |
| title_sort | partial least square structural equation modeling in the final phase of product and instrument development using universal design and agile development model |
| url | http://journalarticle.ukm.my/17368/ http://journalarticle.ukm.my/17368/ http://journalarticle.ukm.my/17368/1/16.pdf |