the aim of this study was to determine those factors affecting domestic sports brand equity using structural equation modeling. this research was a descriptive survey. 210 elite athletes of ahvaz city were randomly selected using krejcie and morgan table (n=450). a researcher-made questionnaire was used to collect data. its validity was measured by a number of experts in the field and its relia...

Structural equation modelling (SEM) is a multivariate method that incorporates ideas from regression, path-analysis and factor analysis. A Bayesian approach to SEM may enable models that reflect hypotheses based on complex theory. The development and application of Bayesian approaches to SEM has, however, been relatively slow but with modern technology and the Gibbs sampler, is now possible. Th...

INTRODUCTION PLS path modeling is widely used in marketing applications. It is based on linear equations. However, in practical applications, many relations cannot be regarded as linear. For example, the relations between satisfaction and its attributes are nonlinear (Mittal et al., 1998). In this paper, we present a two step approach in order to include nonlinear relationships between manifest...

In this study, three approaches commonly used by communication scientists to specify structural relationships using full-information maximum likelihood structural equation modeling are investigated. Specifically, a simulation study using Monte Carlo techniques was conducted to compare the structural paths generated by each of the three structural equation model types. Two of the three approache...

Structural Equation Models (SEMs) are widely used to model complex causal relationships, especially in economic and social domains. In this framework, PLS Path Modeling algorithm is a widely used technique. However, PLS Path Modeling assumes linear relationships among the latent concepts, and between the observed variables and the corresponding latent variables. Recent studies in marketing rese...

While there is a general consensus on the importance of human capital to regional development, debate has emerged around two key issues. The first involves the efficacy of educational versus occupational measures (i.e. the creative class) of human capital, while the second revolves around the factors that effect its distribution. We use structural equation models and path analysis to examine th...