Better Outcomes Demand Better Graphing

Applied and basic researchers in behavior analysis rely on visual analysis of graphic data, a practice rooted in the field’s inception, yet concerns about its reliability have arisen, particularly in single-case designs. Critics argue for supplementing visual analysis with statistical methods to enhance objectivity and confidence in results, aiming to strengthen analytical and decision-making capabilities in the field. This presentation from the 2018 Michigan Autism Conference showcases studies highlighting weaknesses in graphing and strategies to bolster analytical rigor.