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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
The influence of mobile technologies on preschool and elementary children's literacy achievement: A systematic review spanning 2007-2019
This article conducts a review study to measure the effectiveness of mobile technologies to support children's literacy achievement on pre-kindergarten through 5th grade students from 2007 to 2019.
Date:
June 15, 2020
Creator:
Eutsler, Lauren; Mitchell, C.; Stamm, Benjamin & Kogut, A.
System:
The UNT Digital Library
Print or iPad? Young Children’s Text Type Shared Reading Preference and Behaviors in Comparison to Parent Predictions and At-home Practices
Article examining young children’s reading preference by text type. Discourse and observation analyses show children engage differently between text types. Findings have implications for parents, teachers, and teacher educators support today’s young children as readers.
Date:
June 29, 2020
Creator:
Eutsler, Lauren & Trotter, Julia
System:
The UNT Digital Library