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Session Type: Paper Session
The following session proposes advanced approaches to issues related to experimental design, research methodology, meta-analysis, and causal inference. Power formulas for detecting moderation effects in three-level partially nested designs were developed to provide guidance for study planning. Moreover, models were formulated and explained for partially nested regression discontinuity designs, and Synthesis methods for single-case experimental designs using multi-level meta-analysis were investigated. Types of experimental manipulations used to probe racism were identified and critiqued. In addition, fidelity of implementation as a collider in causal inference was examined.
Power to Detect Moderated Effects in Three-Level Partially Nested Designs - Kyle T. Cox, University of North Carolina - Charlotte; Benjamin Kelcey, University of Cincinnati; Fangxing Bai, University of Cincinnati; Hannah Luce, University of North Carolina - Charlotte
Estimation, Inference, and Design in Partially Nested Regression Discontinuity Studies - Benjamin Kelcey, University of Cincinnati; Yanli Xie, Florida State University; Fangxing Bai, University of Cincinnati
Multilevel Meta-Analysis of Single-Case Experimental Designs Using Robust Variance Estimation - Man Chen, University of Texas at Austin; James E. Pustejovsky, University of Wisconsin - Madison
Critiquing Experimental Examinations of Interpersonal and Institutional Racism in U.S. Educational Institutions: A Systematic Review - Jayley Ann Janssen, Arizona State University; Eleanor K. Seaton, University of Illinois at Urbana-Champaign; Justin Jager, Arizona State University; Cindy Miller, ASU; Jose Causadias
Collider Bias: Exploring Fidelity of Implementation in Causal Inference Frameworks - Hyeri Hong, California State University - Fresno; Laurentius Ardian Susadya, University of Iowa