Sanne’s PhD focuses on the use of informative priors in latent growth models with small sample sizes. She is interested in how prior knowledge can be used to compensate for small sample sizes. Her goal is to develop clear guidelines for researchers who use structural equation models and suffer from small data. She has Rens and Herbert Hoijtink as supervisors for her PhD.
The research on small sample sizes project is financed by the Netherlands Organisation for Scientific Research (NWO-VIDI-452-14-006).