Consistent Visual Analysis of Multielement Data: A Preliminary Evaluation.

van der Miesen et al. (2024) asked seasoned behavior analysts to look at a stack of multielement graphs. Each graph showed two or more conditions side-by-side. The experts simply answered: “Do you see experimental control?”

The team then counted how often the judges agreed. High agreement would mean your eyes, my eyes, and every other BCBA’s eyes reach the same verdict when paths clearly split.

Agreement was high. When the lines in different phases moved apart, experts usually said “effect.” When the lines stayed messy, they said “no effect.” The survey supports the idea that visual analysis of multielement graphs is reliable.

The finding backs up Wolfe et al. (2019). That paper gave step-by-step rules for A-B-A-B and multiple-baseline graphs. Both studies say: follow a clear path and visual calls line up.

O’Grady et al. (2021) and Blair et al. (2019) show that short computer or equivalence lessons teach students to read basic AB graphs. R et al. shift the lens from trainees to veterans, showing the pros already agree once the graph type is multielement.

Kril et al. (2022) offered a decision algorithm to help novices. R et al. show experts don’t need the extra tool for multielement data; they reach the same answer without it.

You can feel safe trusting your visual check when multielement paths diverge. No extra software or formula is needed if the change is obvious. Use the moment you spot clean separation as green light to keep, modify, or fade the intervention. When paths overlap, pause and collect more data instead of second-guessing your eyes.