The Comparison Between Structural Equation Modeling and Multiple Linear Regression Analysis to Predict the Parents’ Intention of Using Child Car Restraint in Bangkok
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Abstract
This research aims to study the causal variables influencing on the intention of parents in Bangkok to use child car restraint. The questionnaire is developed based on the Theory of Planned Behavior, Government Influence, Price Fairness, and Safety Awareness. The data are collected from 316 parents in Bangkok who have children’ age under seven years old. The Structural Equation Modelling (SEM) is used to test the causal variables relationship. The results show that the causal variable that most influence on intention to use CCR is safety awareness (SA), since the value of direct effect coefficient () is 0.526. The next casual variable influencing on intention to use is perceived behavior control with the value of effect coefficient (
) of 0.273, and the third influent casual variable is attitude with
value of 0.179. In addition, by applying the Multiple Linear Regression (MLR) with stepwise regression analysis results in the appropriate predictive equation of the parents’ intention to use child car restraint. The coefficients of the MLR model of factor attitudes, perceived behavioral control, and safety awareness are 0.260, 0.212, and 0.530, respectively. The results from the SEM and MLR are the same direction. With the integration method of SEM and MLR, the predictive equation from MLR is well reliable with corresponding to the results from SEM method.
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