RISE Lab to Present Three Studies at SREE 2026
We are pleased to announce that three presentations from the RISE Lab have been accepted for the 2026 Society for Research on Educational Effectiveness conference in Baltimore this September.
Bridging SCED and Group Designs: Demonstrating the Ratio-Metric BC-IRR Effect Size in a Meta-Analysis
Wen Luo, Chendong Li and Eunkyeng Baek
This paper applies the between-case incidence rate ratio in a real meta-analysis, showing how ratio-based effect sizes can make findings from single-case and group-based studies easier to interpret and compare.
The (A)IPW Estimators of Immediate and Lagged Treatment Effect for Alternating Treatment Designs With Three Conditions
Lu Chen and Wen Luo
This paper extends causal effect estimation to randomized three-condition alternating treatment designs. Simulation results identify augmented inverse probability weighting as an accurate and efficient approach to estimating immediate and lagged effects.
A Counterfactual Evaluation of Nonoverlap Indices in AB Single-Case Designs
Rongjian Sun, Lu Chen and Wen Luo
This poster defines the causal effects represented by nine widely used nonoverlap measures. Simulation results show that no single measure is consistently accurate across data conditions, offering practical guidance for effect-size selection and interpretation.
Congratulations to all the authors. We look forward to sharing this work at SREE 2026.
RISE Lab to Present Three Studies at SREE 2026
We are pleased to announce that three presentations from the RISE Lab have been accepted for the 2026 Society for Research on Educational Effectiveness conference in Baltimore this September.
Bridging SCED and Group Designs: Demonstrating the Ratio-Metric BC-IRR Effect Size in a Meta-Analysis
Wen Luo, Chendong Li and Eunkyeng Baek
This paper applies the between-case incidence rate ratio in a real meta-analysis, showing how ratio-based effect sizes can make findings from single-case and group-based studies easier to interpret and compare.
The (A)IPW Estimators of Immediate and Lagged Treatment Effect for Alternating Treatment Designs With Three Conditions
Lu Chen and Wen Luo
This paper extends causal effect estimation to randomized three-condition alternating treatment designs. Simulation results identify augmented inverse probability weighting as an accurate and efficient approach to estimating immediate and lagged effects.
A Counterfactual Evaluation of Nonoverlap Indices in AB Single-Case Designs
Rongjian Sun, Lu Chen and Wen Luo
This poster defines the causal effects represented by nine widely used nonoverlap measures. Simulation results show that no single measure is consistently accurate across data conditions, offering practical guidance for effect-size selection and interpretation.
Congratulations to all the authors. We look forward to sharing this work at SREE 2026.
AUTHOR
Lu Chen