With recent advances in digitisation and big data analytics, more pharmaceutical firms are
adopting digital tools to achieve modernisation. The biological phenomena within …

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 …

The COVID-19 pandemic has affected all domains of human life, including the economic
and social fabric of societies. One of the central strategies for managing public health …

The associations between indices of brain structure and measured intelligence are unclear.
This is partly because the evidence to-date comes from mostly small and heterogeneous …

A common challenge in the behavioral sciences is evaluating measurement invariance, or
whether the measurement properties of a scale are consistent for individuals from different …

How much should you talk, pause, or interrupt your counterpart in negotiations? The present
research zooms out on the macrostructure of negotiation conversations to examine how …

Correct detection of measurement bias could help researchers revise models or refine
psychological scales. Measurement bias detection can be viewed as a variable-selection …

An important challenge in statistical modeling is to balance how well our model explains the
phenomenon under investigation with the parsimony of this explanation. In structural …

Regularized continuous time structural equation models are proposed to address two recent
challenges in longitudinal research: Unequally spaced measurement occasions and high …

Longitudinal data are becoming increasingly available in developmental neuroimaging. To
maximize the promise of this wealth of information on how biology, behavior, and cognition …