given the increasing importance of entrepreneurship and its important role in students’ employment, this study was conducted to examine the effect of emotional intelligence on students' entrepreneurial intentions. a model was developed and was tested among undergraduate students of physical education faculty of tehran university. the model was tested by using the structural equation modeli...

We propose a new method of structural equation modeling (SEM) for longitudinal and time series data, named Dynamic GSCA (Generalized Structured Component Analysis). The proposed method extends the original GSCA by incorporating a multivariate autoregressive model to account for the dynamic nature of data taken over time. Dynamic GSCA also incorporates direct and modulating effects of input vari...

The Gibbs sampler can be used to obtain samples of arbitrary size from the posterior distribution over the parameters of a structural equation model (SEM) given covariance data and a prior distribution over the parameters. Point estimates, standard deviations and interval estimates for the parameters can be computed from these samples. If the prior distribution over the parameters is uninformat...

This research focuses on the drivers of e-government (E-gov) maturity in two comparable developing regions of the world i.e. Latin America and Sub-Saharan Africa (LA&SSA). E-gov maturity refers to the growth levels in a country’s online services and its citizens’ online participation in governance. To date, few researchers have focused on the drivers of E-gov maturity in LA&SSA. Given the chall...

Structural equation modeling originated (Jöreskog (1973), Bentler (1980), Bollen (1989)) as a method for modeling linear relations among observed and hypothesized latent variables. Despite limitation inherent in the linearity assumption of traditional structural equation modeling, it has indeed provided a revolutionary and popular framework for addressing research questions in the social, psych...

SUMMARY: Structural equation models are well-developed statistical tools for multivariate data with latent variables. Recently, much attention has been given to developing structural equation models that account for nonlinear relationships between the endogenous latent variables, the covariates, and the exogenous latent variables. [Guo et al. (2012)], developed a semiparametric structural equat...

abstract: given the increasing importance of entrepreneurship and its important role in students’ employment, this study was conducted to examine the effect of emotional intelligence on students' entrepreneurial intentions. a model was developed and was tested among undergraduate students of physical education faculty of tehran university. the model was tested by using the structural equat...

This article describes a SAS macro to assess model fit of structural equation models by employing a test of the model-implied vanishing tetrads. Use of this test has been limited in the past, in part due to the lack of software that fully automates the test in a user-friendly way. The current SAS macro provides a straightforward method for researchers touse thevanishing tetrads impliedbymodels ...