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Better Outcomes Demand Better Graphing

Richard M. Kubina Jr.
Applied and basic researchers in behavior analysis depend on the visual analysis of graphic data. The roots for visual analysis began at the inception of behavior analysis. However, a growing concern within single-case design exists. Namely, the use of supplemental statistics for graphed time series data. Many criticisms leveled against single case design stem from a lack of universal decision rules and unreliability across raters illustrate the limitations of visual analysis. Critics suggest adding statistical or quantitative analyses to visual analysis provides objectivity, increased confidence of the results, and enhances the strength of the outcome. The following presentation will present studies showing the many shortcomings in graphing and how to strengthen the fields analytical and decision making capacity.

Presented at the 2018 Michigan Autism Conference

Dr. Richard (Rick) Kubina has a bachelor’s degree (Psychology) from Youngstown State University and a master’s and a doctoral degree (Special Education) from The Ohio State University. Dr. Kubina is a Professor of Special Education at The Pennsylvania State University and co-founder of Chartlytics. Dr. Kubina has published multiple research articles, books, and book chapters on evidenced-based education and measurement of student progress. He also served as the past Editor of the Journal of Precision Teaching & Celeration. Dr. Kubina consults with school districts and charter schools using Precision Teaching, effective practice methods, and other measurably superior educational programs.
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