Rebecca Kuiper

Dr. Rebecca Kuiper is an Associate Professor at the Department of Methods and Statistics within the Social and Behavioural Sciences faculty at Utrecht University. She specializes in model selection (via GORIC/GORICA), continuous-time dynamic modeling, and evidence synthesis across heterogeneous studies.

• Key Roles: PhD supervisor, software developer (CTmeta, GORICA), coordinator of summer school courses
• Methodological Focus: Lagged-effects models, Bayesian updating, theory-based hypothesis evaluation

Research Interests

Her work bridges statistics and social sciences, emphasizing:

• Development of GORICA for order-constrained model selection
• Continuous-time meta-analysis (CTmeta) for longitudinal studies
• Time-series analysis of intensive longitudinal data
• Bayesian evidence synthesis across conceptually replicated studies

Scientific Contributions

Notable achievements include:

• Receiving the NWO Aspasia grant (2022) for evidence-aggregation methods
• VENI-grant (2016-2020) for lagged-effects modeling
• Developing open-source R packages (CTmeta, ChiBarSq.DiffTest, ICweights)

Advising & Collaborations

Current PhD students:

• Chuenjai Sukpan (2019–present)
• Oisín Ryan (2018–present)
• Yasin Altinisik (2014–present)

She also provides statistical consulting to students and staff at Utrecht’s Faculty of Social and Behavioral Sciences.