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 ...

ABSTRACT: Academic achievement has been the subject of extensive investigation, highlighting the importance of individual, cognitive, and behavioral factors that influence students’ performance. Among ...

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, ...

Abstract: A structural regression model has been developed to explore the relationship among key factors in the explanation of utilitarian walking. The model examines the relationship between and ...

ABSTRACT: The recent report from the Programme for International Student Assessment (PISA) has highlighted a concerning lack of engagement and motivation among students globally, resulting in ...

Gene expression is controlled by multiple regulators and their interactions. Data from genome-wide gene expression assays can be used to estimate molecular activities of regulators within a model ...