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Session Type: Paper Session
The following session tackles experimental design questions with particular emphasis on how covariates impact design and analysis. Papers in this session provide insights into mediating and moderating covariates and discuss the impacts they have on the robustness analyses (e.g., power, effect size, bias, standard error). Further, this session pays particular attention to the roles these covariates play when implementing studies with longitudinal designs and provides recommendations for practice.
Experimental Power for Cross-Level Mediation in School-Randomized Studies of Teacher Development - Benjamin Kelcey, University of Cincinnati; Fangxing Bai, University of Cincinnati; Jessaca K. Spybrook, Western Michigan University; Nianbo Dong, University of North Carolina - Chapel Hill
Investigating Impact of Covariate Inclusion on Sample Size Requirements of Factor Mixture Modeling - Yan Wang, University of Massachusetts Lowell; Eunsook Kim, University of South Florida; Hsien-Yuan Hsu, University of Massachusetts Lowell
Power Analysis for Interaction Effects in Longitudinal Multisite Randomized Designs - Wei Li, University of Florida; Spyros Konstantopoulos, Michigan State University
Design and Analysis of Complex Multisite Partially Nested Randomized Trials - Yanli Xie, University of Cincinnati; Benjamin Kelcey, University of Cincinnati