This research demonstrates the application of Structural Equation Modeling (SEM) method in order to obtain the best fit model for a more efficient and accurate inter-relationship among variables findings and interpretation. For the purpose of this study, secondary data of Trends in International Mathematics and Science Study (TIMSS) had been used. The data were distributed by using two stage st...

Background. Sport financial sponsorship can offer sport marketers the opportunities to address new audiences and enhance brand equity and companies’ performance. Objectives. The purpose of the current study was to develop a model for the role of sport financial sponsorship on brand equity of Yazd ceramic and tile companies. Methods. The current study was conducted with a survey method. Standa...

Meta-analysis and structural equation modeling (SEM) are two important statistical methods in the behavioral, social, and medical sciences. They are generally treated as two unrelated topics in the literature. The present article proposes a model to integrate fixed-, random-, and mixed-effects meta-analyses into the SEM framework. By applying an appropriate transformation on the data, studies i...

This study was an endeavor to develop a model of identity among Iranian EFL learners. To achieve this end, a multiphase design was implemented. Initially, it attempted to investigate different factors of identity to propose and validate a model. Thus, 120 EFL learners studying in different English language institutes in Iran were randomly selected, and 36 learners were interviewed about their v...

Structural equation modeling (SEM) grows out of and serves purposes similar to multiple regression, but in a more powerful way which takes into account the modeling of interactions, nonlinearities, correlated independents, measurement error, correlated error terms, multiple latent independents each measured by multiple indicators, and one or more latent dependents also each with multiple indica...