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A presentation by Dr. Rick Kubina delivered at the 2018 Michigan Autism Conference. The open-access video below does not contain embedded questions or interactions like the CEU and coursepack versions.

Abstract
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.
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