معرفی
Eric Loken is an Associate Professor in the Department of Educational Psychology at the University of Connecticut's Neag School of Education. He earned his PhD from Harvard University, specializing in advanced statistical modeling with applications to educational testing.
His research focuses on latent variable models, Bayesian inference, and reproducibility in science. Recent publications explore missing data in computerized adaptive testing (2025), person-specific heterogeneity in IRT models (2024), and methodological frameworks for multi-analyst studies (2024).
Loken's work addresses critical methodological challenges including measurement error impacts on replication, model specification in mixture models, and patterns of omitted responses in language proficiency testing. He maintains active research in parenting intervention effects on child development outcomes.
- Methodological focus:
- Bayesian statistical modeling
- Psychometric theory
- Reproducibility science
- Large-scale educational assessment
حوزههای پژوهشی
