Assessing and analysing individual differences in change over time is of central scientific
importance to developmental neuroscience. However, the literature is based largely on …

Latent variable modeling is a popular and flexible statistical framework. Concomitant with
fitting latent variable models is assessment of how well the theoretical model fits the …

Purpose This study aims to examine the role of an overall model fit assessment in the
context of partial least squares path modeling (PLS-PM). In doing so, it will explain when it is …

Research confirms that the mental health burdens following community-wide disasters are
extensive, with pervasive impacts noted in individuals and families. It is clear that child …

For scientific discoveries to be valid—whether in theory or empirically—a phenomenon must
be accurately described: The scientist must use appropriate counterfactuals and eliminate …

This study examined the performance of the weighted root mean square residual (WRMR)
through a simulation study using confirmatory factor analysis with ordinal data. Values and …

Confirmatory factor analyses (CFA) are widely used in the organizational literature. As a
result, understanding how to properly conduct these analyses, report the results, and …

Artificial intelligence is another advance in technology for the hotel industry and its role is
undetermined at this time. The overarching purpose of this treatise was to examine hotel …

In hospitality, certain management styles can play a crucial role in achieving positive
employee outcomes. This study aims to investigate how different leadership styles can …

En el presente trabajo se expone una aproximación conceptual y práctica a los Modelos de
Ecuaciones Estructurales o Structural Equation Modeling (SEM). Los SEM están …