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 …

Exploratory factor analysis (EFA) is widely used by researchers in the social sciences to
characterize the latent structure underlying a set of observed indicator variables. One of the …

When developing and evaluating psychometric measures, a key concern is to ensure that
they accurately capture individual differences on the intended construct across the entire …

The present study assessed the impact of sample size on the power and fit of structural
equation modeling applied to functional brain connectivity hypotheses. The data consisted …

Background Anxiety disorders and major depressive disorder (MDD) often co‐occur and
share a broad range of risk factors. The goal of this study was to examine whether the co …

The use of latent class analysis, and finite mixture modeling more generally, has become
almost commonplace in social and health science domains. Typically, research aims in …

Student engagement is often considered an overarching construct in educational research
and practice. Though frequently employed in the learning analytics literature, engagement …

Individualism and collectivism are some of the most widely applied concepts in cultural and
cross-cultural research. They are commonly applied by scholars who use arithmetic means …

When factorial invariance is violated, a possible first step in locating the source of violation
(s) might be to pursue partial factorial invariance (PFI). Two commonly used methods for PFI …

This study explored the impact of partial factorial invariance on cross-group comparisons of
latent variables, including latent means, latent variances, structural relations (or correlations) …