This HDOSE Strategic Reinvestment project, Sample Size and Power Analysis Methods for Propensity Score-Based Quasi-Experimental Studies with Multilevel and Longitudinal Designs, develops planning methods for quasi-experimental education research.
Within the lab, this project extends design and sample-size planning from randomized studies to propensity score-based quasi-experimental studies with multilevel and longitudinal structure.
Project Information
- Funding source: University of Florida HDOSE Strategic Reinvestment Fund
- Role: Principal Investigator
- Co-PI: Walter Leite
- Project period: July 1, 2025-June 30, 2026
- Award amount: $14,984
Project Focus
- Develop power and sample-size methods for propensity score-based quasi-experimental studies.
- Address multilevel and longitudinal design structures.
- Support researchers planning observational impact studies in education.
Related Publications and Working Papers
- Li, W., & Konstantopoulos, S. (2023). Power analysis for moderator effects in longitudinal cluster randomized designs. Educational and Psychological Measurement, 83(1), 116-145. doi:10.1177/00131644221077359
- Li, W., & Konstantopoulos, S. (2019). Power computations for polynomial change models in block-randomized designs. Journal of Experimental Education, 87(4), 575-595. doi:10.1080/00220973.2018.1496057
- Li, W., & Strickland, K. J. Designing longitudinal quasi-experimental studies using staggered DID: Estimator selection, software implementation, and sample size planning. Working paper.
Related Presentations
- Li, W., Strickland, K. J., Gao, X., & Huang, J. (2025). Designing longitudinal quasi-experimental studies using staggered difference-in-differences: Estimator selection, software implementation, and sample size planning. SREE Annual Meeting.
- Li, W. (2025). A Guide to Sample Size Planning in Staggered Difference-in-Differences Designs: Applications for STEM Education. UF Education Policy Brown Bag.