ABA glossary
Visual analysis
Definition
Judging whether behavior changed, and whether the change can be attributed to the intervention, by systematically inspecting graphed data for level, trend, variability, immediacy of effect, overlap, and consistency across similar phases.
In plain words
Single-case data are usually interpreted by looking at a graph, not by running a statistical test. Visual analysis is a structured way of looking: within each phase, check level, trend, and variability; between phases, check how quickly behavior changed (immediacy), how much the data overlap, and whether the same change appears each time the condition is introduced. A clear effect usually looks like an immediate shift in level, little overlap, and a pattern that repeats.
Example from a session
The RBT has been entering Ana's data for weeks. At the team meeting, the BCBA points to the graph: problem behavior averaged 12 per session in baseline and dropped to 3 within two sessions of starting FCT, with no overlap between phases. The RBT is not expected to decide whether the plan works, but entering data accurately and on time is what makes this kind of analysis possible.
For BCBA candidates and supervisors
Visual analysis is strongest when the design allows replication (reversal, multiple baseline, multielement) and when baseline is stable. Analysts watch for confounds such as a baseline trend in the therapeutic direction, high variability, too few data points, or changes in measurement across phases. Agreement among visual analysts can be low for ambiguous graphs, so structured criteria and aids such as trend lines help. Visual analysis is better at detecting large, practical effects than small ones, which fits the field's focus on socially significant change.
Often confused with trend, data-based decision making
Trend is one feature that visual analysis looks at; visual analysis is the whole process of judging level, trend, variability, immediacy, overlap, and consistency together. Data-based decision making is what the team does with the result, such as continuing, changing, or fading an intervention.
Exam tip
When a graph item asks whether the intervention "worked," check immediacy, overlap, and replication before trend alone. Watch for baselines already trending in the desired direction; they weaken any claim of effect.
Can you spot visual analysis in a scenario?
Practice RBT A.7 with exam-style questions and instant feedback.