Selected RISE Publications by Topic
RISE Publications on Causal and Statistical Inference in SCED
Luo, W., & Li, C. (2026, March 31). Defining and estimating causal effects in randomized alternating treatment design for single-case experiments: A counterfactual approach [Preprint]. Research Square.
Li, H., & Luo, W. (2026). Analyzing count data in single case experimental designs with generalized linear mixed models: Does serial dependency matter? Multivariate Behavioral Research, 61(1), 136–160.
Li, H., Luo, W., Baek, E., Thompson, C. G., & Lam, K. H. (2025). Multilevel modeling in single-case studies with count and proportion data: A demonstration and evaluation. Psychological Methods, 30(4), 815–842.
Li, H., Luo, W., & Baek, E. (2024). Multilevel modeling in single-case studies with zero-inflated and overdispersed count data. Behavior Research Methods, 56(4), 2765–2781.
Li, H., Luo, W., Baek, E., Thompson, C. G., & Lam, K. H. (2022). Estimation and statistical inferences of variance components in the analysis of single-case experimental design using multilevel modeling. Behavior Research Methods, 54, 1559–1579.
Baek, E., & Ferron, J. J. M. (2020). Modeling heterogeneity of the level-1 error covariance matrix in multilevel models for single-case data using Bayesian estimation. Methodology, 16(2), 166–185.
RISE Publications of Effect Size Development and Evaluation
Li, C., & Luo, W. (in press). Bayesian marginalized zero-inflated Poisson model with random effects for single-case experimental designs: A simulation study. Psychological Methods.
Luo, W., Li, H., Baek, E., & Li, C. (2025, October 24). Between-case incidence rate ratio: A design-comparable effect size for count outcomes in single case experimental designs [Preprint]. OSF Preprints.
Li, H., Li, C., Luo, W., & Baek, E. (2025, October 17). Between-case incidence rate ratio for single case experimental designs with count outcomes: A Monte Carlo simulation with conditional and marginal models [Preprint]. PsyArXiv.
Li, H., Luo, W., Baek, E., Thompson, C. G., & Lam, K. H. (2025). Multilevel modeling in single-case studies with count and proportion data: A demonstration and evaluation. Psychological Methods, 30(4), 815–842.
Xue, Y., Moeyaert, M., Baek, E., Solomon, B. G., & Van den Noortgate, W. (2025). Standardized effect sizes for autocorrelated single-case experimental design data: A Monte Carlo simulation study. Journal of Behavioral Education. Advance online publication.
RISE Publications on Synthesis of SCED Studies
Baek, E., & Luo, W. (2023). Modeling multiple dependent variables in meta-analysis of single-case experimental design using multilevel modeling. Behavior Research Methods, 55, 3760–3771.
Baek, E., Luo, W., & Henri, M. (2022). Issues and solutions in meta-analysis of single-case design with multiple dependent variables using multilevel modeling. The Journal of Experimental Education, 90(4), 934–961.
RISE Publications on Tutorials, Guidelines, and Tools
Li, C., Baek, E., & Luo, W. (2026). Generalized least squares transformation for single-case experimental design: Introducing the R package lmeSCED. Behavior Research Methods, 58, Article 72.
Li, H., Baek, E., Luo, W., Du, W., & Lam, K. H. (2025). Using generalized linear mixed models in the analysis of count and rate data in single-case experimental designs: A step-by-step tutorial. Evaluation & the Health Professions, 48(1), 143–155.
Baek, E., Luo, W., & Lam, K. H. (2023). Meta-analysis of single-case experimental design using multilevel modeling. Behavior Modification, 47(6), 1546–1573.
Baek, E., & Ferron, J. M. (2021). Bayesian analysis for multiple-baseline studies where the variance differs across cases in OpenBUGS. Developmental Neurorehabilitation, 24(2), 130–143.
Baek, E. K., Petit-Bois, M., Van den Noortgate, W., Beretvas, S. N., & Ferron, J. M. (2016). Using visual analysis to evaluate and refine multilevel models of single-case studies. The Journal of Special Education, 50(1), 18–26.