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 …

When thinking about sample size in multilevel modeling, it is important to realize that there
are potential sample size issues at several distinct levels. The concern is usually about the …

This study investigated travel intentions of 484 international and 566 domestic travellers
during COVID-19 pandemic using Bayesian structural equation modelling and the extended …

Chatbots incorporate various behavioral and psychological marketing elements to satisfy
customers at various stages of their purchase journey. This research follows the foundations …

The aim of this study was to investigate the measurement invariance of the Burnout
Assessment Tool (BAT) across seven cross-national representative samples. In this study …

“Your assumptions are your windows on the world. Scrub them off every once in a while or
the light won't come in. If you challenge your own, you won't be so quick to accept the …

Electric cars are relatively in the early stage of acceptance in Malaysia, the purpose of the
current research was to determine the factors affecting the adoption of battery electric …

This review focuses on the use of multilevel models in psychology and other social sciences.
We target readers who are catching up on current best practices and sources of controversy …

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 …

This journal recently published a systematic review of simulation studies on the performance
of Bayesian approaches for estimating latent variable models in small samples. The authors …