Structural Equation Modeling (SEM) is a statistical technique that allows researchers to examine complex relationships between observed and latent variables. In the context of, for example, ...

Structural equation modeling (SEM) encompasses such diverse statistical techniques as path analysis, confirmatory factor analysis, causal modeling with latent variables, and even analysis of variance ...

To examine the factorial structure and multidimensionality of latent constructs in educational and psychological research, Morin et al. (2016a) proposed bifactor exploratory structural equation ...

Department of Mathematics, Science and Technology Education, Faculty of Education, University of Zululand, KwaDlangezwa, South Africa Introduction: Mathematics achievement is the level of knowledge, ...

Statistical model infrastructures at financial institutions are often developed using a piecemeal approach to model building, in which different components of complex interrelated statistical models ...

Abstract: The analysis of the behavior of simulation models and the subsequent communication of their results are critical but often neglected activities in simulation modeling. To overcome this issue ...