Young Ri completed her PhD in the Quantitative Methods program at The University of Texas at Austin. She is currently a senior researcher at the Learning Science Institute at Seoul National University. Her research interests include Hierarchical Linear Modeling (HLM), Robust Variance Estimation methods (RVE), and meta-analysis.
Education
- PhD in Quantitative Methods | 2023
University of Texas at Austin - MA in Educational Measurement and Statistics | 2017
Korea University - BA in Education | 2014
Korea University
Interests
- Hierarchical Linear Modeling
- Robust Variance Estimation methods
- Meta-analysis
| Date | Authors | Title |
|---|---|---|
| Dec 23, 2024 | Comparing random effects models, ordinary least squares, or fixed effects with cluster robust standard errors for cross-classified data |
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