Degree Department

Month

Language

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
Early Predictors of Child's Bully and Victim Statuses: A Longitudinal Investigation Using Parent, Teacher, and Student Reports From National Data (open access)

Early Predictors of Child's Bully and Victim Statuses: A Longitudinal Investigation Using Parent, Teacher, and Student Reports From National Data

This article studies how bullies and victims develop within the contexts of their homes and schools, and how early childhood behaviors can predict later bullying/victimization statuses.
Date: June 29, 2018
Creator: Natesan, Prathiba; Mitchell, Mary E. & Glover, Rebecca
System: The UNT Digital Library