Gain more insight from common latent factor in structural equation modeling

Afthanorhan, Asyraf and Awang, Zainudin and Abd Majid, Norliana and Foziah, Hazimi and Ismail, Izzat and Al Halbusi, Hussam and Tehseen, Shehnaz (2021) Gain more insight from common latent factor in structural equation modeling. In: 1st International Recent Trends in Technology, Engineering and Computing Conference, IRTTEC 2020, 30 September 2020, Kuala Lumpur, Virtual.

Full text not available from this repository.
Official URL:


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. © Published under licence by IOP Publishing Ltd.

Item Type: Conference or Workshop Item (Paper)
Funders: None
Uncontrolled Keywords: Common latent factor; Covariance method; Method bias; Structural equationv modeling
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Business and Accountancy
Depositing User: Ms Zaharah Ramly
Date Deposited: 27 Nov 2023 07:06
Last Modified: 27 Nov 2023 07:06

Actions (login required)

View Item View Item