Training Preservice Practitioners to Make Data-Based Instructional Decisions
Download the free Brinley-plot tool to see at a glance if your single-case effect holds across clients or behaviors.
01Research in Context
What this study did
Wolfe et al. (2023) built a free computer tool. It draws an extended modified Brinley plot.
The plot shows if each client repeats the same change you saw in the first client.
College students learning ABA used the tool in class to judge fake data sets.
What they found
The paper does not give win-loss numbers. It only shows how the plot works.
The tool is ready for you to download and paste in your own single-case data.
How this fits with other research
Manolov et al. (2022) also give free graph code, but for alternating-treatment designs. Both papers share the same goal: make visual analysis easier and exact.
Sunde et al. (2022) created a checklist for latency-based FA graphs. Their checklist and Wolfe’s plot both try to remove guess-work from visual inspection.
De Los Reyes et al. (2009) used a meta-analysis to hunt for consistent effects across many single-case studies. Wolfe’s plot lets you do the same hunt in one glance, without math.
Why it matters
You can open the Brinley plot file right now. Paste baseline and treatment scores for each client. If the dots line up below the diagonal, you have a repeat effect. No stats degree needed. Use it in supervision to show staff what real replication looks like.
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Join Free →Plot your last three clients on the modified Brinley sheet—if all dots sit under the diagonal line, celebrate replication.
02At a glance
03Original abstract
In science in general and in the context of single-case experimental designs, replication of the effects of the intervention within and/or across participants or experiments is crucial for establishing causality and for assessing the generality of the intervention effect. Specific developments and proposals for assessing whether an effect has been replicated or not (or to what extent) are scarce, in the general context of behavioral sciences, and practically null in the single-case experimental designs context. We propose an extension of the modified Brinley plot for assessing how many of the effects replicate. To make this assessment possible, a definition of replication is suggested, on the basis of expert judgment, rather than on statistical criteria. The definition of replication and its graphical representation are justified, presenting their strengths and limitations, and illustrated with real data. A user-friendly software is made available for obtaining automatically the graphical representation.
Journal of Behavioral Education, 2023 · doi:10.1007/s10864-021-09439-0