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 …

Multilevel models are an increasingly popular method to analyze data that originate from a
clustered or hierarchical structure. To effectively utilize multilevel models, one must have an …

MplusAutomation is a package for R that facilitates complex latent variable analyses in M
plus involving comparisons among many models and parameters. More specifically …

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 …

Clustered data are common in many fields. Some prominent examples of clustering are
employees clustered within supervisors, students within classrooms, and clients within …

Scales with varying degrees of measurement reliability are often used in the context of
multistage sampling, where variance exists at multiple levels of analysis (eg, individual and …

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 statistical methods are slowly creeping into all fields of science and are becoming
ever more popular in applied research. Although it is very attractive to use Bayesian …

In small sample contexts, Bayesian estimation is often suggested as a viable alternative to
frequentist estimation, such as maximum likelihood estimation. Our systematic literature …

Bayesian statistical methods are becoming ever more popular in applied and fundamental
research. In this study a gentle introduction to Bayesian analysis is provided. It is shown …