publications

[Forthcoming] Cluster-specific estimands: Identification and uncertainty in multilevel analysis

Jee-Seon Kim — Wed, 01 Jul 2026 05:00:00 GMT

This paper will be published in the upcoming proceedings of the 90th Annual Meeting of the Psychometric Society

[Forthcoming] Adaptive shrinkage with Student’s t: Limited gains over Gaussian hierarchical linear models

Graham W. Buhrman — Wed, 01 Jul 2026 05:00:00 GMT

This paper will be published in the upcoming proceedings of the 90th Annual Meeting of the Psychometric Society

[In Preparation] Decision-theoretic empirical Bayes: Optimizing site-specific scale-up decisions under realistic educational data conditions

Graham W. Buhrman — Fri, 17 Apr 2026 05:00:00 GMT

This manuscript is currently in preparation.

Beyond averages: Portraying treatment effect variation

Jee-Seon Kim — Wed, 25 Jun 2025 05:00:00 GMT

Citation

BibTeX citation:

@inproceedings{kim2025,
  author = {Kim, Jee-Seon and Buhrman, Graham W. and Liao, Xiangyi.},
  editor = {Kim, Jee-Seon and Wu, H. and Sweet, T. M. and Molenaar, D.
    and Junker, B. W. and Moustaki, I. and Harring, J. and Bulut, O. and
    Tong, X. and Wallin, G. and Di Plinio, S.},
  title = {Beyond Averages: {Portraying} Treatment Effect Variation},
  booktitle = {Proceedings of the International Meeting of the
    Psychometric Society: The 89th Annual Meeting, Prague, Czech
    Republic, 2024},
  date = {2025-06-25},
  url = {https://doi.org/10.64028/xvhr927961},
  doi = {10.64028/xvhr927961},
  langid = {en}
}

For attribution, please cite this work as:

Kim, J.-S., Buhrman, G. W., & Liao, Xiangyi. (2025). Beyond averages: Portraying treatment effect variation. In J.-S. Kim, H. Wu, T. M. Sweet, D. Molenaar, B. W. Junker, I. Moustaki, J. Harring, O. Bulut, X. Tong, G. Wallin, & S. Di Plinio (Eds.), Proceedings of the International Meeting of the Psychometric Society: The 89th Annual Meeting, Prague, Czech Republic, 2024. https://doi.org/10.64028/xvhr927961

Using nonparametric regression trees to estimate different forms of heterogeneous treatment effects

Graham W. Buhrman — Wed, 25 Jun 2025 05:00:00 GMT

Citation

BibTeX citation:

@inproceedings{buhrman2025,
  author = {Buhrman, Graham W. and Liao, Xiangyi. and Kim, Jee-Seon},
  editor = {Kim, Jee-Seon and Wu, H. and Sweet, T. M. and Molenaar, D.
    and Junker, B. W. and Moustaki, I. and Harring, J. and Bulut, O. and
    Tong, X. and Wallin, G. and Di Plinio, S.},
  title = {Using Nonparametric Regression Trees to Estimate Different
    Forms of Heterogeneous Treatment Effects},
  booktitle = {Proceedings of the International Meeting of the
    Psychometric Society: The 89th Annual Meeting, Prague, Czech
    Republic, 2024},
  date = {2025-06-25},
  url = {https://doi.org/10.64028/pulr698375},
  doi = {10.64028/pulr698375},
  langid = {en}
}

For attribution, please cite this work as:

Buhrman, G. W., Liao, Xiangyi., & Kim, J.-S. (2025). Using nonparametric regression trees to estimate different forms of heterogeneous treatment effects. In J.-S. Kim, H. Wu, T. M. Sweet, D. Molenaar, B. W. Junker, I. Moustaki, J. Harring, O. Bulut, X. Tong, G. Wallin, & S. Di Plinio (Eds.), Proceedings of the International Meeting of the Psychometric Society: The 89th Annual Meeting, Prague, Czech Republic, 2024. https://doi.org/10.64028/pulr698375

Exploring conceptual differences among nonparametric estimators of treatment effect heterogeneity in the context of clustered data

Graham W. Buhrman — Wed, 19 Jun 2024 05:00:00 GMT

Citation

BibTeX citation:

@inproceedings{buhrman2024,
  author = {Buhrman, Graham W. and Liao, Xiangyi and Kim, Jee-Seon},
  editor = {Wiberg, Marie and Kim, Jee-Seon and Hwang, Heungsun and Wu,
    Hao and Sweet, Tracy},
  publisher = {Springer},
  title = {Exploring Conceptual Differences Among Nonparametric
    Estimators of Treatment Effect Heterogeneity in the Context of
    Clustered Data},
  booktitle = {Quantitative Psychology: The 88th Annual Meeting of the
    Psychometric Society, Maryland, USA, 2023},
  date = {2024-06-19},
  url = {https://doi.org/10.1007/978-3-031-55548-0_25},
  doi = {10.1007/978-3-031-55548-0_25},
  langid = {en}
}

For attribution, please cite this work as:

Buhrman, G. W., Liao, X., & Kim, J.-S. (2024). Exploring conceptual differences among nonparametric estimators of treatment effect heterogeneity in the context of clustered data. In M. Wiberg, J.-S. Kim, H. Hwang, H. Wu, & T. Sweet (Eds.), Quantitative Psychology: The 88th Annual Meeting of the Psychometric Society, Maryland, USA, 2023. Springer. https://doi.org/10.1007/978-3-031-55548-0_25