Esther Beierl

Mag. rer. nat., Dr. phil.

Postdoctoral Research Associate

Oxford Centre for Anxiety disorders and Trauma (OxCADAT)

My research focuses on assessing and investigating individual differences in psychological factors that contribute to onset and maintenance of post-traumatic stress disorder using structural equation modelling approaches, machine learning techniques, and network analysis.

I recently completed my PhD at Ludwig Maximilian University Munich, Germany, holding a PhD scholarship from the German National Academic Foundation (‘Studienstiftung des deutschen Volkes’). In my PhD thesis, I worked on fit indices and factor scores in structural equation modelling. In 2016, I worked on machine learning approaches for the prediction of self-reported health conditions at The Psychometrics Centre, University of Cambridge.

I am an Associate with The Psychometrics Centre, University of Cambridge.

Recent publications

Is That Measure Really One-Dimensional? Nuisance Parameters Can Mask Severe Model Misspecification When Assessing Factorial Validity
Journal article

BEIERL ET. et al, Methodology

More publications