Bayesian methods in Structural Equation Modeling (SEM) represent a paradigm shift in statistical analysis, integrating prior beliefs with empirical data to derive robust parameter estimates.

Evogene Ltd. has unveiled a first-in-class generative AI foundation model for small-molecule design, marking a breakthrough ...

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Available data included food intake values collected by a food frequency questionnaire. Exploratory structural equation models were utilized to analyse direct, indirect, and total effects of dietary ...

Moreover, the application of structural equation modeling (SEM) to investigate the mediating roles of loneliness, smartphone addiction, and L2 emotions in the relationship between acculturative stress ...

The pace of structural reforms in emerging market and developing economies was strong during the 1990s, but it has slowed since the early 2000s. Using a newly constructed database on structural ...

modsem is an R-package for estimating interaction (i.e., moderation) effects between latent variables in structural equation models (SEMs), based on the lavaan syntax ...