Riet Van Bork

Riet’s main area of research is the theory underlying psychological measurement and its relation to the statistical models that are used as measurement models in psychology. In particular, her research focuses on conceptual issues in psychometrics, including work on the interpretation of measurement error, the chance experiments that make response variables random variables, the implications of a statistical versus causal interpretation of psychometric models, and she has developed tests to empirically distinguish between models from different psychometric frameworks. As a postdoctoral fellow at the Center she will work on different forms of causal simplicity that can help compare models that are statistically proximate but causally different.