Gain More Insight from Common Latent Factor in Structural Equation Modeling

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

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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.

Item Type: Article
Additional Information: The 1st International Recent Trends in Technology, Engineering and Computing Conference (IRTTEC) 2020
Uncontrolled Keywords: Method bias; common latent factor; covariance method; structural equation; modeling.
Subjects: Q Science > Q Science (General)
Divisions: Others > Non Sunway Academics
Sunway University > Sunway University Business School > Dept. Management
Depositing User: Dr Janaki Sinnasamy
Related URLs:
Date Deposited: 01 Apr 2021 07:28
Last Modified: 01 Apr 2021 07:28

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