INSTRUCTIONS FOR ANALYZING CONTROL VARIABLES USING SmartPLS SOFTWARE
- Control variables directly impact a certain dependent variable in the model, showing their level of explanation for the variation of the dependent variable. Controlled variables can be qualitative or quantitative, but are usually qualitative variables. Common control variables are variables about individual characteristics such as gender, age, etc.
• To analyze the control variable in the PLS SEM model using PLS SMART software, suppose we have a model that includes 4 factors that impact customer Loyalty (LY) as follows:
• There are 3 factors including Gender, Occupation and Age as control variables in the model. After we finished modeling and ran the Bootstrapping analysis, the results were as follows:
• Thus, all three control variables do not have a statistically significant effect on customer loyalty.
