Bayesian Time-Series Models in Single Case Experimental Designs: A Tutorial for Trauma Researchers
Description:
Article discusses the utility of SCED data for trauma research, provides recommendations for addressing challenges specific to SCED approaches, and introduces a tutorial for two Bayesian models—the Bayesian interrupted time-series (BITS) model and the Bayesian unknown change-point (BUCP) model—that can be used to analyze the typically small sample, autocorrelated, SCED data.
Date:
November 17, 2020
Creator:
Contractor, Ateka A.; Caldas, Stephanie & Batley, Prathiba Natesan
Item Type:
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Partner:
UNT College of Liberal Arts & Social Sciences