Effect Size Methods
Quantifying Treatment Effects in Single-Case Designs
Central Question
How do we appropriately measure and report treatment effects, especially in single-case experimental designs?
Overview
Effect sizes are essential for communicating the practical significance of research findings. This research focuses on design-comparable effect sizes in single-case designs (SCDs), examining their statistical properties — particularly the normality assumption — and developing improved applications. Additionally, this work has contributed to understanding effect size reporting practices in psychology and education research.
Selected Publications
Chen, Y.-K., Yang, T.-R., Chen, L.-T., Hsieh, C.-Y., Cheng, C., Wu, P.-J., & Peng, C.-Y. J. (2025). Improving applications of a design-comparable effect size in single-case designs. Behavior Research Methods, 57(10), Article 279. https://doi.org/10.3758/s13428-025-02715-1
Chen, L.-T., Chen, Y.-K., Yang, T.-R., Chiang, Y.-S., Hsieh, C.-Y., Cheng, C., Ding, Q.-W., Wu, P.-J., & Peng, C.-Y. J. (2024). Examining the normality assumption of a design-comparable effect size in single-case designs. Behavior Research Methods, 56(1), 379–405. https://doi.org/10.3758/s13428-022-02035-8
Chen, L.-T., Ding, Q.-W., Hsieh, C.-Y., Chen, Y.-K., Chiang, Y.-S., Huang, S.-C., Yang, T.-R., Cheng, C., Liou, P.-Y., & Peng, C.-Y. J. (2020). Effect size reporting practices in Taiwanese psychology and education journals: Review and beyond. Chinese Journal of Psychology, 62(4), 553–592. https://doi.org/10.6129/cjp.202012_62(4).0006