The analytic methods often used in drug use studies, such as ANOVA, multiple regression, logistic regression, multilevel models, and structural equation modeling (SEM) including path analysis, factor analysis, and latent growth curve model, are variable-centered approaches. Those approaches assume that the study sample arises from a homogeneous population; and focus on relations among variables...

In this study, the relationship between components of knowledge management on the basis of M. Mc olrvy model and social capital has been studied, statistical population consisted of employees of Ministry of Energy, who were selected among employees of Hamedan regional power and were 420 subjects. Research tool is a questionnaire and Spss statistical software is used for data analysis and struct...

the aim of this study was to model the effect of athletic identity on sport orientation in athletes participating in 11th sport olympiad of male students in iran. 400 students were selected as the sample of this study from 2130 students of population. sport orientation questionnaire (soq, gill et al., 1988, α=0.87) and the athletic identity questionnaire (cieslak, 2004, α=0.82) were used. the s...

The main purpose of this paper is to explain the factors affecting the change of service land uses in the city of Shiraz and identify its reasons. For this purpose, the second-order confirmatory factor analysis technique has been used as one of the structural equation modeling techniques to determine the severity of the effect of the four factors on land use change, through which a contributing...

This paper presents an empirical investigation of the critical determinants for the adoption of e-market in Australian small-and-medium sized enterprises (SMEs) within the technology-organization-environment (TOE) framework. A conceptual model is proposed for better understanding the adoption of e-market in Australian SMEs. Structural equation modelling is used for testing and validating the co...