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 …

Objective Post‐traumatic growth typically refers to enduring positive psychological change
experienced as a result of adversity, trauma, or highly challenging life circumstances. Critics …

To help researchers conduct a systematic review or meta-analysis as efficiently and
transparently as possible, we designed a tool to accelerate the step of screening titles and …

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

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 …

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 …

Background Previous latent trajectory studies in adult bereaved people have identified
individual differences in reactions postloss. However, prior findings may not reflect the …

Several evidence-based treatments for posttraumatic stress disorder (PTSD) are
recommended by international guidelines (eg, APA, NICE). While their average effects are in …

When Bayesian estimation is used to analyze Structural Equation Models (SEMs), prior
distributions need to be specified for all parameters in the model. Many popular software …

Social cognition impairments may be associated with poor functional outcomes, symptoms,
and disability in social anxiety disorder (SAD) and generalized anxiety disorder (GAD). This …