Concept guide
Measurement, Data Display, and Interpretation

Visual analysis and data-based decisions

Interpret graphs by considering level, trend, variability, overlap, immediacy, and implementation context before changing intervention.

Priorityhigh
Target in 500-item bank20
Target in 1000-item bank40

How this shows up in scenario questions

  1. 1Avoid declaring effect when intervention points overlap baseline.
  2. 2Notice baseline trend before attributing change to intervention.
  3. 3Use treatment-integrity data when outcomes worsen.

Common misconceptions

  • Making permanent decisions from one or two data points.
  • Treating a graph as proof of function.
  • Ignoring baseline variability.

Distractor patterns

  • Declare the plan effective immediately.
  • Stop collecting data.
  • Change intervention before checking integrity.

Related terms

leveltrendvariabilityoverlapgraph interpretationGraphingData InterpretationDecision Making

Related practice prompts

I
Evaluate treatment integrity before changing a plan.

A BCBA reviews data showing an increase in aggression after a new intervention began. Direct observation shows staff rarely prompt the replacement response and deliver reinforcement inconsistently. What should the BCBA do next?

C
Interpret level, trend, and variability before making a treatment decision.

A line graph shows problem behavior was stable at 8 to 10 responses per session during baseline. After intervention, the first three data points are 9, 7, and 8. What is the best interpretation?

C
Use IOA to evaluate measurement reliability.

Two observers collect frequency data on repeating questions during requesting help in a early-intervention session. Observer 1 records 14 responses and Observer 2 records 9 responses for the same session. What should the BCBA do with this information? The team wants the next step to be defensible from the current data.