This review introduces classical item response theory (IRT) models as well as more contemporary extensions to the case of multilevel, multidimensional, and mixtures of discrete and continuous latent variables through the lens of discrete multivariate analysis. A general modeling framework is...

We present new models for simulating the steady and unsteady transport of pollutant. Then the simple central-upwind schemes based on central weighted essentially non-oscillatory reconstructions are proposed in this paper for computing the one- and two-dimensional steady and unsteady models....

This research investigates the effects of entrepreneurial orientation and external technology acquisition on the performance of technology-based new ventures in the context of a transitional economy. An analysis of the cross-sectional data from 123 Chinese technology-based new ventures was...

This paper uses an innovative way to screen stocks and analyzes the relationship between corporate environmental responsibility and long-run stock returns. By our definition, an environmentally responsible (green) company gives no environmental concern and shows environmental strength(s). Using...

Model-based multiple imputation has become an indispensable method in the educational and behavioral sciences. Mean and covariance structure models are often fitted to multiply imputed data sets. However, the presence of multiple random imputations complicates model fit testing, which is an...

The main purpose of this study is to improve estimation efficiency in obtaining maximum marginal likelihood estimates of contextual effects in the framework of nonlinear multilevel latent variable model by adopting the Metropolis–Hastings Robbins–Monro algorithm (MH-RM). Results...