Bayesian statistics is an approach to data analysis based on Bayes' theorem, where
available knowledge about parameters in a statistical model is updated with the information …

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

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 …

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 …

Background Enhancements in mobile phone technology allow the study of children and
adolescents' everyday lives like never before. Ecological momentary assessment (EMA) …

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 …

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

Researchers often have difficulties collecting enough data to test their hypotheses, either
because target groups are small or hard to access, or because data collection entails …

Objective: Sexual and gender minority individuals assigned female at birth (SGM-AFAB) are
at increased risk for anxiety, depression, and substance use and problems compared with …

Research has examined firm-or unit-level high-performance work systems (HPWS) and
impacts on firm, unit, or individual outcomes. Relatively few works have examined how team …