Reassess Variability After a Task or Schedule Change

To reassess variability after a task or schedule change, version Sana's task, response class, scored dimension, variability criterion, reinforcement schedule, prompts, partners, materials, context, access, health, and exposure. Preserve the earlier phase and verify the revised arrangement before comparing outcomes. Ask whether the change remains useful and acceptable to Sana, then use a qualified decision rule for continue, repair, reverse, redesign, or close.

Version every changed component

Record effective dates for the task, response unit, criterion, schedule, consequence, prompts, materials, software, partner, setting, access supports, and review rule. Preserve the prior version.

Create a new measurement phase

A meaningful change starts a new phase even when the graph continues. Keep item, list, opportunity, response, and session units explicit and carry no denominator across incompatible phases.

Verify implementation before interpretation

Audit instruction, history display, recognition, consequence delivery, prompt use, timeout handling, and staff understanding. Repair the arrangement before drawing conclusions about Sana.

Review benefit, burden, and choice

Ask Sana about effort, clarity, usefulness, errors, preference, and withdrawal. Pair diversity data with ordering accuracy, completion, partner response, and workplace value.

Use this sequence to reassess after change

Document the old and new versions, create a new phase, verify access and implementation, preserve raw units, ask Sana, compare only compatible evidence, and apply bounded action rules.

Build Sana's post-change variability reassessment

Create one versioned post-change variability reassessment for the workplace supply-order routine. Include Sana'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 Sana's variability evidence

Reproduce 16/20 item-level criterion responses, or 80%, in the first phase. The revised phase has 20 planned list opportunities: nine criterion lists, five partial lists, three invalid timeouts, two prompted lists, and one decline. The states sum to 20. Removing the three invalid timeouts leaves 17 valid opportunities, so the criterion rate is 9/17, or 52.9%; 9/20, or 45%, is only a planned-exposure fraction. Verify unit, lag history, prompts, access, software, preference, task accuracy, and phase version.

Connect Sana's evidence to a decision

Sana's reassessment determines whether the larger list serves the workplace goal, whether access and software are adequate, and whether the lag requirement contributes useful diversity. The qualified clinician can return to single-item turns, change the unit, lower the criterion, teach prerequisites, or close the variability target.

Work through Sana's example

Sana's ordering task changes from selecting one item per turn under Lag 1 to building three-item lists under Lag 2. The first phase has 16/20 criterion responses, or 80%. The revised phase has 20 planned lists: nine criterion, five partial, three invalid after software timeouts, two prompted, and one declined. Excluding the invalid records yields nine criterion lists across 17 valid opportunities, or 52.9%. The unit changed from item to list, so 16/20 and 9/17 describe different performances and cannot establish deterioration. 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 Sana.

Address Sana's main interpretation risk

A schedule label can conceal a new task, larger response unit, longer memory requirement, and different software exposure. Comparing the percentages as deterioration blames Sana for a system redesign. Carrying the old mastery rule forward can also reward speed over accurate ordering. 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 Sana

For Sana's post-change variability reassessment, 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 Sana.

Treat variability as a measurement claim for Sana

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 Sana, 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 Sana

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 Sana.

Separate communication diversity from access for Sana

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 Sana's modality, access, partner recognition, response effort, and functional result separate from the diversity score.

Preserve assent and direct experience for Sana

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 Sana 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 Sana's next bounded action

Sana prefers two-item lists and asks for a visible order history. The team creates a new version with a separate baseline instead of overwriting the Lag 2 phase. 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 Sana's prior performance.

Close Sana's variability review

Review the post-change variability reassessment with Sana, 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 Reassess Variability After a Task or Schedule Change