Dear Madiha,

If a researcher is using latent variables in a study, it is necessary to establish Reliability and Validity of the latent variables. This process is referred to CFA mostly in CB-SEM. Although some PLS literature suggests using the this process CCA in PLS models, the term CFA is also used.

You can follow the steps in Measurement Model Analysis (CFA/CCA) in PLS as follows:

Follow recommended threshold values for

1) Reliability: e.g., Composite Reliability (CR)

2) Convergent Validity: e.g., Item Loadings and AVE

3) Discriminant Validity: e.g., HTMT

Hope it will help you understand the issue.

To test the reliability and validity of data, conducting Measurement Model Analysis, which is commonly referred to as Confirmatory Factor Analysis (CFA) in the context of Structural Equation Modeling (SEM), is necessary. CFA is a statistical technique used to assess the underlying structure of observed variables by examining their relationships with latent constructs or factors.