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“The research is based on secondary data, which may lack a comprehensive substantiation on the grounds of measurement theory”
Joseph F. Hair Jr., Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook
“which is therefore the preferred method when the research objective is theory development and explanation of variance”
Joseph F. Hair Jr., Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook
“However, if the primary research objective is prediction and explanation of target constructs (Rigdon, 2012), PLS-SEM should be given preference”
Joseph F. Hair Jr., Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook
“CB-SEM is particularly suitable for testing a theory in the confinement of a concise theoretical model.”
Joseph F. Hair Jr., Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook
“Compared to CB-SEM, PLS-SEM emphasizes prediction, while simultaneously relaxing the demands regarding the data and specification of relationships. PLS-SEM aims at maximizing the endogenous latent variables’ explained variance by estimating partial model relationships in an iterative sequence of ordinary least squares regressions.”
Joseph F. Hair Jr., Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook
“1.5 Guidelines for Choosing Between PLS-SEM and CB-SEM”
Joseph F. Hair Jr., Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook

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