Robert Cribbie

Robert A. Cribbie is a Professor in the Department of Psychology at York University, specializing in quantitative methods for analyzing psychological data. His research focuses on statistical methodologies for detecting equivalence, negligible effects, and robust testing procedures. He is affiliated with the Robust Statistics Lab, where he mentors graduate students such as Victoria Celio (MA, 2024) and Nataly Beribisky (PhD, 2023). His work emphasizes improving statistical practices in psychology through rigorous methodological innovations.

Key contributions include developing the 'negligible' R package for equivalence testing and advocating for improved effect size reporting. He has published extensively on topics like Bayesian statistics, structural equation modeling, and multiplicity control in empirical research. Notable awards include the 2019 Michael Friendly Award for Best Quantitative Methods Research.

Cribbie’s recent work addresses challenges in interpreting statistical suppression, analyzing treatment-control designs, and promoting pre-registration practices. His lab’s projects reflect a commitment to advancing reproducibility and methodological rigor in psychological science.