Measure Unique Responses and Opportunity Exposure

To measure unique responses and opportunity exposure, define Mei's eligible opportunity, response window, scored dimension, valid response, prompt status, repetition rule, and invalidity criteria. Preserve the raw sequence and report distinct forms, total responses, opportunities with a meaningful response, cumulative novelty, prompts, repeats, and missing exposure. One unique-response count cannot show how many chances Mei received to respond.

Lock the unit of opportunity

Define the event that creates one real chance for Mei to choose, how it starts and ends, and whether multiple responses can occur. Keep trials, responses, sessions, and people from becoming interchangeable units.

Preserve the raw response sequence

Store each valid response in order with time, opportunity, category, prompt, partner response, access state, and correction history. The sequence permits independent recalculation of repeats and recency.

Use a small measure set

Report distinct forms, total valid responses, independent-response opportunities, cumulative new forms, repeats, prompts, declines, invalid events, and exposure completion when they affect the decision.

Control the observation window

Distinct counts usually rise with more exposure. Compare periods with compatible opportunity definitions and state the time, session, trial, or event window for every total.

Use this sequence to measure uniqueness and exposure

Define Mei's opportunity and response, preserve the sequence, retain canceled and invalid events, calculate raw counts and denominators, inspect exposure, and connect the result to one decision.

Build Mei's unique-response and exposure table

Create one versioned unique-response and exposure table for the library display design. Include Mei's priority, response class, scored dimension, eligible opportunity, response window, raw sequence, distinct and repeated forms, prompts, comparison history, contingency, integrity, context, access, health, direct experience, partner response, invalidity, missingness, withdrawal, evidence limits, qualified decision owner, correction, and reassessment trigger. Store only decision-relevant information with role-limited access.

Validate Mei's variability evidence

Reproduce 20 planned, two canceled, 18 valid, eight distinct ideas, 13 independent responses, three prompted responses, one partner-related repeat, and one decline. Verify that categories can overlap only where the data dictionary allows and that all ratios name their eligible denominator.

Connect Mei's evidence to a decision

Mei's table supports decisions about opportunity availability, independent response access, breadth of ideas, prompt use, and partner reliability. A cumulative novelty curve can show when new forms appeared, while a raw sequence shows repeats and history. Each measure answers a different question.

Work through Mei's example

Mei has 20 planned design choices. Two are canceled when materials fail, leaving 18 valid opportunities. Her raw category sequence contains eight distinct display ideas, 13 independent responses, three prompted responses, one repeat after a partner misses the first message, and one decline. Report eight distinct forms, 13/18 independent response opportunities, and 18/20 valid exposure. Preserve every planned and valid opportunity, response in order, category code, prompt, repetition reason, consequence, delay, partner response, access and health state, withdrawal, invalid event, correction, and unresolved item. This fictional example demonstrates one measurement control. It supplies no diagnosis, creativity judgment, universal variability target, treatment effect, coverage decision, payment promise, or outcome guarantee for Mei.

Address Mei's main interpretation risk

Eight unique ideas across eight opportunities differs from eight across eighty. Removing canceled trials makes exposure look complete. Sorting the sequence alphabetically destroys the recency history needed for lag analysis. Counting a prompted model as spontaneous novelty overstates independent repertoire evidence. Review the response property, opportunity mix, history rule, reinforcement, prompts, partner behavior, access, health, direct experience, comparison, and design strength separately. A higher or lower diversity score gains meaning only through the person's goal and the conditions that produced it.

Keep scope and authority clear for Mei

For Mei's unique-response and exposure table, the CASP public summary supplies high-level ABA behavioral-health-treatment scope for autistic people, while licensed detail sits outside this page. The current BACB Ethics Code addresses competence, client and stakeholder involvement, consent and assent when applicable, assessment, medical needs, risk, data, documentation, and evaluation for covered people. The BACB outline is examination content. These sources supply no individualized variability protocol or authority for Mei.

Treat variability as a measurement claim for Mei

Barba's conceptual analysis examines lag and threshold procedures and argues that common response-distribution measures can differ from the property used to arrange reinforcement. The critical review likewise evaluates the evidence and procedure details behind variability-as-operant claims. These papers show active conceptual disagreement. For Mei, define the scored property, programmed consequence, obtained consequence, and behavior measure on compatible units before making a process claim.

Use the applied lag evidence within its limits for Mei

Olin, Sonsky, and Howard used a changing-criterion design with one eleven-year-old participant, several questions, prompts, visual aids, error correction, generalization probes, and one maintenance probe. The category-naming evaluation compared progressive and terminal lag arrangements with two children and used several variability measures. These small studies illustrate procedures and measurement choices. They provide no universal lag value, dose, outcome, or creative-skill standard for Mei.

Separate communication diversity from access for Mei

The mand-variability paper reviews several dimensions of mand variability and the predominant use of lag schedules in applied research. A communication form can be familiar, repeated, and fully effective. ASHA's AAC portal says AAC users should always have access to their tools or devices. Keep Mei's modality, access, partner recognition, response effort, and functional result separate from the diversity score.

Preserve assent and direct experience for Mei

Breaux and Smith propose practice procedures for individualized assent and withdrawal responses while describing limits in the evidence base. Their paper is practice guidance rather than a separate BACB mandate. Follow governing consent and assent sources, give Mei an accessible way to accept, pause, decline, or change the activity, and treat distress or withdrawal as a response requiring action rather than a variability error.

Choose Mei's next bounded action

Mei adds a code for repeated messages caused by partner nonresponse and keeps those distinct from ordinary repeats. The library repairs the missing materials before a new exposure phase begins. Record the qualified owner, source evidence, effective date, current task and definition version, ordinary supports, access and health state, implementation check, accessible explanation, disagreement route, and reassessment trigger. Preserve the earlier record when responses, people, settings, systems, schedules, health, or priorities change. A repaired arrangement creates a dated phase rather than an error in Mei's prior performance.

Close Mei's variability review

Review the unique-response and exposure table with Mei, the qualified behavior analyst, relevant partners, access owners, and specialists named in the manifest. Confirm that meaningful diversity remains separate from novelty, recency-rule performance, generalization, creativity, preference, error, access failure, and treatment effect; every denominator is reproducible; AAC and basic access remain protected; urgent needs received action; and conclusions stay bounded to sampled conditions. Keep this page draft and noindex until every required review is complete.

How to Measure Unique Responses and Opportunity Exposure