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 …

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

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 …

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 …

The current paper highlights a new, interactive Shiny App that can be used to aid in
understanding and teaching the important task of conducting a prior sensitivity analysis …

Background The analysis of small data sets in longitudinal studies can lead to power issues
and often suffers from biased parameter values. These issues can be solved by using …

Bayesian structural equation modeling (BSEM) has recently gained popularity because it
enables researchers to fit complex models and solve some of the issues often encountered …

Ecological momentary assessment (EMA) involves repeated real-time sampling of
respondents' current behaviors and experiences. The intensive repeated assessment …

Within Bayesian estimation, prior distributions are placed on model parameters and these
distributions can take on many different levels of informativeness. Although much of the …

The aim of the current article is to provide a brief introduction to Bayesian statistics within the
field of health psychology. Bayesian methods are increasing in prevalence in applied fields …