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 …

Although the statistical tools most often used by researchers in the field of psychology over
the last 25 years are based on frequentist statistics, it is often claimed that the alternative …

Latent class analysis (LCA) is a statistical method used to identify unobserved subgroups in
a population with a chosen set of indicators. Given the increasing popularity of LCA, our aim …

Technological advances have led to an increase in intensive longitudinal data and the
statistical literature on modeling such data is rapidly expanding, as are software capabilities …

As Bayesian methods continue to grow in accessibility and popularity, more empirical
studies are turning to Bayesian methods to model small sample data. Bayesian methods do …

Small-sample inference with clustered data has received increased attention recently in the
methodological literature, with several simulation studies being presented on the small …

Bayesian statistics is on the rise in mainstream psychology, but applications in sport and
exercise psychology research are scarce. In this article, the foundations of Bayesian …

Studies on small sample properties of multilevel models have become increasingly
prominent in the methodological literature in response to the frequency with which small …

Modeled after Barbara Byrne's other best-selling structural equation modeling (SEM) books,
this practical guide reviews the basic concepts and applications of SEM using Mplus …

Applauded for its clarity, this accessible introduction helps readers apply multilevel
techniques to their research. The book also includes advanced extensions, making it useful …