Aims: To assess the validity and reliability of a measurement model in structural equation modeling (SEM).

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Aims: Multi-group analysis can be known as modeling the moderator variable since the strength of this method to moderates the influences of exogenous on endogenous variable. Basically, researchers interest to employ such method to extend their study to be more intense and practical. Sampling: This paper work used stratified sampling which is one of the probability sampling. Thus, the parametric method can be applied as set of statistical assumption. Methodology: Thus, multi-group analysis has become convenient to be practice in second generation modeling namely Structural Equation Modeling (SEM). Nevertheless, the limitation of Covariance Based Structural Equation Modeling (CB-SEM) causes the difficulties of researchers to further their studies. Hence, Partial Least Square Structural Equation Modeling (PLS-SEM) introduced to satisfy the necessity of researchers. Truthfully, multi-group analysis is not implement Method Article

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The Important-Performance Matrix Analysis (IPMA) is widely used in analytical technique that yields prescription for the management of customer satisfaction. IPA is a two-dimensional grid based on importance and performance of customer satisfaction. Yet, this paper intend to use the volunteers as a research subject to identify to what extent the strength of the relationship between exogenous and endogenous variable that can be derived. As pedagogical theoretical and past empirical studies, attribute level of performance and importance is relevance and significant. These finding reveals the capabilities of IPA towards a volunteerism program. Using Partial Least Square Structural Equation Modeling with SmartPLS 2.0, the asymmetric relationship importance and performance is provided. Futhermore, it shown that benefits factor is a major importance and performance for establishing Motivation.