| Owner: |
Fangxing Bai
|
| Owner Email: |
Fangxing.Bai@montana.edu
|
| Paper Title: |
Design and Analysis of Clustered Regression Discontinuity Studies Probing Mediation Effects
|
| Session Title: |
Educational Research Methodology (Table 3)
|
| Paper Type: |
Roundtable Presentation
|
| Presentation Date: |
4/14/2023
|
| Presentation Location: |
Chicago, IL
|
| Descriptors: |
Research Methodology, Statistics
|
| Methodology: |
Quantitative
|
| Author(s): |
Fangxing Bai, University of Cincinnati; Benjamin Kelcey, University of Cincinnati; Yanli Xie, Florida State University; Kyle T. Cox, University of North Carolina - Charlotte
|
| Unit: |
Division D - Measurement and Research Methodology
|
| Abstract: |
Clustered regression discontinuity (CRD) designs draw on cluster-level assignment of a treatment on the basis of a cut score variable. Prior research has suggested that CRD designs are a formidable alternative to cluster randomized designs because they provide flexibility in treatment assignment while maintaining a high-quality basis for. However, CRD designs have not been fully developed to address the array of core effects (e.g., main, moderation, and mediation) typically examined in common structures and problems in education studies. We develop closed-form expressions to estimate the statistical power to detect indirect/mediation effects in CRD designs. We formulate models, develop principles of estimation, sampling variability, and inference as well as expressions to estimate the statistical power to detect the main effects.
|
| DOI: |
https://doi.org/10.3102/2009780
|