Degree Department

Quantitative Preparation in Doctoral Education Programs: A Mixed-Methods Study of Doctoral Student Perspectives on Their Quantitative Training (open access)

Quantitative Preparation in Doctoral Education Programs: A Mixed-Methods Study of Doctoral Student Perspectives on Their Quantitative Training

This article explores student perceptions of their own doctoral-level education and quantitative proficiency.
Date: July 19, 2017
Creator: Ferguson, Sarah L.; Hovey, Katrina A. & Henson, Robin K.
System: The UNT Digital Library
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