Back in high school chemistry, I remember waiting with my bench partner for crystals to form on our stick in the cup of blue ...

Structural equation modelling was applied to explore complex mediation pathways between social and biological factors, mental health and quality of life. The cross-sectional design and self-reported ...

The purposes of this paper were to analyse the degree of implementation of the mobile learning methodology in Spanish universities and to check the sociodemographic factors that influence the ...

AI researchers at Stanford and the University of Washington were able to train an AI “reasoning” model for under $50 in cloud compute credits, according to a new research paper released last ...

The structural equation model (SEM) was fitted on the covariance matrix from the national Valuation Office Agency (VOA) and Energy Performance Certificate (EPC) linked dataset. lavaan, like other SEM ...

Structural Equation Modeling (SEM) is valuable for modeling constructs that are not directly observable, such as attitudes or perceptions, by using measurable indicators. This approach is crucial for ...

The paper explores the nexus between the financial and business cycles in a semi-structural New Keynesian model with a financial accelerator, an active banking sector, and an endogenous ...

The Bayesian structural equation model integrates the principles of Bayesian statistics, providing a more flexible and comprehensive modeling framework. In exploring complex relationships between ...

This paper presents a non-technical introduction to SEM and provides an illustration on how the fit between an SEM model (based on theory) and data – in the context of higher education – can be ...