Rebecca Kuiper is specialized in model selection using information criteria, theory based hypotheses, and cross-lagged relationships. Nowadays, she is working on extending multilevel continuous time models that can facilitate extracting all the valuable information from data obtained with experience sampling or momentary assessments. She received a VENI grant for this research from NWO (The Netherlands Organisation for Scientific Research), starting in December 2016.

With the to-be-developed multilevel continuous time model (and software) researchers can investigate whether for instance momentary anxiety is a stronger predictor of subsequent stress than vice versa. Moreover, it will also be possible to obtain results at the person level, which can serve as a basis for person-tailored treatments.

More information can be found on: http://www.uu.nl/staff/RMKuiper.