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28.030 - Analysis in Experimental Designs and Quasi-Experimental Designs With Propensity Score Matching
Sat, April 6, 10:25 to 11:55am, Fairmont Royal York Hotel, Floor: Mezzanine Level, Confederation 3Session Type: Paper Session
Sub Unit
Chair
Papers
Effect Size Estimation for Mixed Single-Case Experimental Designs - Diana Akhmedjanova, University at Albany - SUNY; Mariola Moeyaert, University at Albany
Evaluation of Covariate Balance as a Quality Indicator for Propensity Score Matching Analysis - Akihito Kamata, Southern Methodist University; Elisa Gallegos, Southern Methodist University; Chalie Patarapichayatham, Southern Methodist University; Yusuf Kara, Southern Methodist University
Hierarchical Bayesian Approach to Estimate Interventional Effect in Randomized Control Trials - Xinya Liang, University of Arkansas; Akihito Kamata, Southern Methodist University; Gozde Sirganci, Bozok University; Ji Li
Switching Cluster Membership in Cluster Randomized Control Trials: Implications for Design and Analysis - Jonathan Schweig, The RAND Corporation; John Pane, RAND Corporation; Daniel F. McCaffrey, ETS
Treatment-Comparison Group Sample Size Ratio and Accuracy of Treatment Effect Estimates After Propensity Score Matching - Madison A. Holzman, James Madison University; S. Jeanne Horst, James Madison University