Co-authors
181
list available
Resume (English only)
Academic Achievements
- Published multiple research papers on psychometrics and quantitative methods, including but not limited to: 'Speed-accuracy tradeoff? Not so fast: Marginal changes in speed have inconsistent relationships with accuracy in real-world settings', 'InterModel Vigorish (IMV): A novel approach for quantifying predictive accuracy when outcomes are binary', etc.
Research Experience
- He has worked on various research projects with collaborators, exploring the use of response time in psychometric studies, how to better index prediction quality from models of binary outcomes, and how psychometric approaches can be used to understand large-scale experiments in education.
Education
- No specific educational background information provided.
Background
- Associate Professor at the Graduate School of Education, Stanford University, with research interests in psychometrics and quantitative methods. He focuses on using statistical tools to better understand psychological and educational outcomes that are challenging to measure but ubiquitous in education, social, and biomedical sciences.