In sections on statistical modeling, computer modeling, and mathematical and other models, they discuss such topics as the role of structural equation modeling in theory testing and development, artificial neural networks and structural equation modeling to evaluate business customer loyalty, non-parametric tests with fuzzy data and its applications in the performance evaluation of customer capital, assessing the perception of superstitious numbers and its effect on purchasing intentions, and clique communities in social networks.

For this purpose, research implication was derived from implementing descriptive survey method, and since the main objective of the research was to test specific models of relations between variables, structural equation modeling (SEM) applied as research methodology.

Statistical Techniques To test the hypotheses, structural equation modeling was employed.

They use structural equation modeling and offer suggestions for refining future research of these types of relationships.

Members of the so-called "experimentalist" camp in econometrics still refuse to recognize structural equation modeling for what it is--a transparent, formal language for causal and counterfactual information, logically equivalent to the opaque jargon of structureless models, (1) within which powerful identification methods could be both justified and derived (Heckman 2010; Keane 2010; Learner 2010; Nevo and Whinston 2010).

Montreal) explains the principles, assumptions, strengths, limitations and applications of structural equation modeling.

INTRODUCTION Structural Equation Modeling (SEM) has been established as one of the choice data analysis methods among researchers in marketing and other disciplines.

The proposed work-family conflict model presented in Figure 1 was tested using structural equation modeling (SEM) to evaluate the research hypotheses by using the linear structural relations (LISREL) computer program (Joreskog & Sorbom, 1996).