Gain More Insight from Common Latent Factor in Structural Equation Modeling

Abstract There is a great deal of evidence that method bias really sure influences item validities, measurement error, correlation and covariance between latent constructs thus leading the researchers to erroneous conclusion due inflation or deflation during hypothesis testing. To remedy this, study provides guideline minimize in context structural equation modeling employing (CB-SEM) using medical tourism model. A practical approach illustrated for identification based on new construct namely common factor. Using this construct, we managed identify which has potential permeate more variance from Nevertheless, figure out do not exist our developed Therefore, model appropriate order achieve research hypotheses. We hope discussion will help anticipate items are likely exposed before proceed advance modeling.