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A Bayesian Rate Ratio Effect Size to Quantify Intervention Effects for Count Data in Single Case Experimental Research (open access)

A Bayesian Rate Ratio Effect Size to Quantify Intervention Effects for Count Data in Single Case Experimental Research

This article formulates a within-subject Bayesian rate ratio effect size (BRR) for autocorrelated count data that would obviate the need for small sample corrections. The authors illustrate this within-subject effect size using real data for an ABAB design and provide codes for practitioners who may want to compute BRR.
Date: June 19, 2020
Creator: Batley, Pathiba Natesan; Mehta, Smita S. & Hitchcock, John H.
System: The UNT Digital Library
Key Challenges and Some Guidance on Using Strong Quantitative Methodology in Education Research (open access)

Key Challenges and Some Guidance on Using Strong Quantitative Methodology in Education Research

Article reviews several common areas of focus in quantitative methods with the hope of providing guidance on conducting and reporting quantitative analyses. The review addresses causal inferences, measurement issues, handling missing data, testing for assumptions, dealing with nested data, and providing evidence for outcomes.
Date: November 13, 2020
Creator: Henson, Robin K.; Stewart, Genéa & Bedford, Lee A.
System: The UNT Digital Library