Coverage of migrant and refugee data is incomplete and of insufficient quality in European
health information systems. This is not because we lack the knowledge or technology …

Local structural equation models (LSEM) are structural equation models that study model
parameters as a function of a moderator. This article reviews and extends LSEM estimation …

It is frequently stated in the literature that measurement invariance is a prerequisite for the
comparison of group means or standard deviations of the latent variable in factor models …

Students' expectancy and value beliefs are critical to reading achievement. However, past
studies have predominantly focused on these constructs at the student level. Whether and …

There are increasing vocal concerns about the application of measurement invariance
testing arguing that it is overly strict and arbitrary. We argue that invariance is not just a …

The adoption of AI-powered systems in healthcare has revolutionized the field by
introducing autonomous diagnostics and predictions, though it remains a source of debate …

Owing to the COVID-19 pandemic, organizations worldwide have implemented remote
working arrangements that have blurred the work–family boundaries and brought to the …

Structural equation models (SEM) are widely used in the social sciences. They model the
relationships between latent variables in structural models, while defining the latent …

Sustainability-oriented innovation is a develo** area in the academic literature, and
existing measurement models are either lacking in scope or they have not been validated …

When using structural equation modeling, comparison across time or groups can be
misleading if measures are not invariant. Partial least squares structural equation modeling …