Gain More Insight from Common Latent Factor in Structural Equation Modeling
There is a great deal of evidence that method bias is really sure influences item validities, measurement error, correlation and covariance between latent constructs and thus leading the researchers to erroneous conclusion due to inflation or deflation during hypothesis testing. To remedy this, the...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IOP
2021
|
| Subjects: | |
| Online Access: | http://eprints.sunway.edu.my/1699/ http://eprints.sunway.edu.my/1699/1/Shehnaz%20Gain%20more%20insight.pdf |
| _version_ | 1848802114892988416 |
|---|---|
| author | Asyraf, Afthanorhan Zainudin, Awang Norliana, Abd Majid Hazimi, Foziah Izzat, Ismail Hussam, al Habusi Tehseen, Shehnaz * |
| author_facet | Asyraf, Afthanorhan Zainudin, Awang Norliana, Abd Majid Hazimi, Foziah Izzat, Ismail Hussam, al Habusi Tehseen, Shehnaz * |
| author_sort | Asyraf, Afthanorhan |
| building | SU Institutional Repository |
| collection | Online Access |
| description | There is a great deal of evidence that method bias is really sure influences item validities, measurement error, correlation and covariance between latent constructs and thus leading the researchers to erroneous conclusion due to inflation or deflation during hypothesis testing. To remedy this, the study provides a guideline to minimize the method bias in the context of structural equation modeling employing the covariance method (CB-SEM) using medical tourism model. A practical approach is illustrated for the identification of method bias based on the new construct namely common latent factor. Using this latent construct, we managed to identify which item has potential to permeate more variance from common latent factor. Nevertheless, we figure out that the method bias is do not exist in our developed model. Therefore, this measurement model is appropriate for structural model in order to achieve the
research hypotheses. We hope that this discussion will help the researchers anticipate which items are likely exposed on method bias before proceed to advance modeling. |
| first_indexed | 2025-11-14T21:18:13Z |
| format | Article |
| id | sunway-1699 |
| institution | Sunway University |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T21:18:13Z |
| publishDate | 2021 |
| publisher | IOP |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | sunway-16992021-04-01T07:28:39Z http://eprints.sunway.edu.my/1699/ Gain More Insight from Common Latent Factor in Structural Equation Modeling Asyraf, Afthanorhan Zainudin, Awang Norliana, Abd Majid Hazimi, Foziah Izzat, Ismail Hussam, al Habusi Tehseen, Shehnaz * Q Science (General) There is a great deal of evidence that method bias is really sure influences item validities, measurement error, correlation and covariance between latent constructs and thus leading the researchers to erroneous conclusion due to inflation or deflation during hypothesis testing. To remedy this, the study provides a guideline to minimize the method bias in the context of structural equation modeling employing the covariance method (CB-SEM) using medical tourism model. A practical approach is illustrated for the identification of method bias based on the new construct namely common latent factor. Using this latent construct, we managed to identify which item has potential to permeate more variance from common latent factor. Nevertheless, we figure out that the method bias is do not exist in our developed model. Therefore, this measurement model is appropriate for structural model in order to achieve the research hypotheses. We hope that this discussion will help the researchers anticipate which items are likely exposed on method bias before proceed to advance modeling. IOP 2021 Article PeerReviewed text en cc_by_nc_4 http://eprints.sunway.edu.my/1699/1/Shehnaz%20Gain%20more%20insight.pdf Asyraf, Afthanorhan and Zainudin, Awang and Norliana, Abd Majid and Hazimi, Foziah and Izzat, Ismail and Hussam, al Habusi and Tehseen, Shehnaz * (2021) Gain More Insight from Common Latent Factor in Structural Equation Modeling. Journal of Physics: Conference Series, 1793 (1). 012030. ISSN 1742-6588 http://doi.org/10.1088/1742-6596/1793/1/012030 doi:10.1088/1742-6596/1793/1/012030 |
| spellingShingle | Q Science (General) Asyraf, Afthanorhan Zainudin, Awang Norliana, Abd Majid Hazimi, Foziah Izzat, Ismail Hussam, al Habusi Tehseen, Shehnaz * Gain More Insight from Common Latent Factor in Structural Equation Modeling |
| title | Gain More Insight from Common Latent Factor in Structural Equation Modeling |
| title_full | Gain More Insight from Common Latent Factor in Structural Equation Modeling |
| title_fullStr | Gain More Insight from Common Latent Factor in Structural Equation Modeling |
| title_full_unstemmed | Gain More Insight from Common Latent Factor in Structural Equation Modeling |
| title_short | Gain More Insight from Common Latent Factor in Structural Equation Modeling |
| title_sort | gain more insight from common latent factor in structural equation modeling |
| topic | Q Science (General) |
| url | http://eprints.sunway.edu.my/1699/ http://eprints.sunway.edu.my/1699/ http://eprints.sunway.edu.my/1699/ http://eprints.sunway.edu.my/1699/1/Shehnaz%20Gain%20more%20insight.pdf |