Process Data Analysis
This research examines how to incorporate process data for research on measurement and causal inference. Specifically, we extplore: (i) evaluating testing accommodations using process data from large-scale educational assessments and high-stakes testing, (ii) measuring test-taking effort using process data from the same settings, and (iii) developing causal inference methods with process data in a functional format. These projects are supported in part by TC Provost’s Faculty Collaboration Funds. Publications/Working Papers Suk, Y., & Park, C. (2025). Causal mediation and functional outcome analysis with process data. PsyArXiv. (Equal Contribution) [Preprint] Lee, Y., & Suk, Y. (2024). Evidence factors in fuzzy regression discontinuity designs with sequential treatment assignments. PsyArXiv. [Preprint] Suk, Y., & Kim, Y. (2024). Fuzzy regression discontinuity designs with multiple control groups under one-sided noncompliance: Evaluating extended time accommodations. Journal of Educational and Behavioral Statistics. [Journal Article] [Preprint] [R Code] Recent Conferences/Seminars Suk, Y., & Park, C. (2025, May). Causal mediation and functional outcome analysis with process data. The American Causal Inference Conference (ACIC), Detroit, MI, U.S. Suk, Y., & Park, C. (2025, Apr.). Causal mediation and functional outcome analysis with process data for program evaluation. The National Council on Measurement in Education (NCME), Denver, CO, U.S. Suk, Y., & Lee, Y. (2024, Sep.). Evidence factors in fuzzy regression discontinuity designs with multiple control groups for evaluating extended time accommodations. The Society for Research on Educational Effectiveness (SREE), Baltimore, MD, U.S Suk, Y., & Lee, Y. (2024, May). Evidence factors in fuzzy regression discontinuity designs with multiple control groups for evaluating testing accommodations. The American Causal Inference Conference (ACIC), Seattle, WA, U.S. Suk, Y., & Kim, Y. (2024, May). Blessing of multiple control groups in fuzzy regression discontinuity designs: Evaluating extended time accommodations. Paper presented at the American Causal Inference Conference (ACIC), Seattle, WA, U.S. (2024 ACIC Tom Ten Have Award with Honorable Mention) Suk, Y., & Kim, Y. (2023, Sep.). Fuzzy regression discontinuity designs with multiple control groups for evaluating extended time accommodations. The Society for Research on Educational Effectiveness (SREE), Arlington, VA, U.S.