Measurement quality and procedural integrity
Evaluate whether measurement and procedural-integrity systems produce trustworthy, representative data for decision making.
How this shows up in scenario questions
- 1Identify validity or reliability threats.
- 2Choose an integrity measure for implementation steps.
- 3Decide when observer training or definitions need revision.
Common misconceptions
- Assuming data are accurate because they are graphed.
- Using IOA as proof the target is socially important.
- Ignoring procedural integrity when outcomes are unclear.
Distractor patterns
- Average observer scores instead of checking agreement.
- Change the plan before checking implementation.
- Use a measure that misses important contexts.
Related terms
Related practice prompts
A BCBA wants to measure how long a learner remains out of seat after each occurrence. Which measurement system best matches this goal?
A BCBA needs to know how long each episode of leaving the work area lasts in a elementary classroom. Which measurement system best fits this question? The caregiver asks for a rationale that can be written in the treatment note.
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.