This review summarizes the current state of the art of statistical and (survey) methodological
research on measurement (non) invariance, which is considered a core challenge for the …

The random intercept cross-lagged panel model (RI-CLPM) is rapidly gaining popularity in
psychology and related fields as a structural equation modeling (SEM) approach to …

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 …

Bifactor models are increasingly being utilized to study latent constructs such as
psychopathology and cognition, which change over the lifespan. Although longitudinal …

The idea of data-based decision-making (DBDM) at the classroom level is that teachers use
assessment data to adapt their instruction to students' individual needs and thus improve …

Abstract The Childhood Autism Rating Scale (CARS) is a simple and inexpensive tool for
Autism spectrum disorder (ASD) assessments, with evidenced psychometric data from …

Background Mental health and its complexity, measurement and social determinants are
increasingly important avenues of research for social scientists. Quantitative social science …

The issue of teacher expectation stability is crucial in understanding the self-fulfilling
prophecies generated by teacher expectations. However, currently there is a lack of …

The comparison of group means in latent variable models plays a vital role in empirical
research in the social sciences. The present article discusses an extension of invariance …

Differences in societal views on the roles of men and women have been addressed in many
large-scale comparative studies by employing indicators of gender roles attitudes from cross …