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How might data be collected for this target response?	Identify several interventions that might help improve response rates. Place them in order with the least-restrictive at the top so that the interventions may be introduced systematically, adding more restrictive / less favorable interventions after the outcomes of less restrictive options have been measured.
identify how many documentations are not being completed to establish percent discrepancy	reinforcement of positive documentation. establish minimum level of documentation per day and establish a group contingency
conduct observation and interviews to determine staff preference or best approaches to provide feedback	visual reminders throughout the environment-outlining expectations; cues/prompts (e.g., "DONT FORGET DATA") provide an alarm or supplemental prompt at the end of every hour/designated time frame to prompt staff to collect data introduce reinforcement program continent of data completion-displaying results in the staff lounge conduct PI checks
Checklists; fidelity checks	Email Staff meeting Prompts - daily task lists; visual reminders Built in breaks with a couple of staff Mandated checklist submissions/self-monitoring Individual meeting with supervisor
Review the data collected in the binders to determine how many days or opportunities data was not collected.	Increased supervisor presence Performance feedback Regularly highlight task outcomes Reduce task effort Reduce aversive task properties
self monitoring
Review data over several consecutive days (permanent product)	Reduce the amount of data to be collected
- Checklists for what data should be collected daily for each student as well as a checklist of what staff responsibilities are-	-Token economy for completed data for each para ending in rewards for each -Token economy for the group of Paras so all need to complete all data for them to earn tokens/rewards -Punishment procedure for each para if they do not complete data
	Place binders in a different spot
IOB	BST
Frequency or percentage	Clarity expectations, performance feedback, increase reinforcement, increase accountability
A checklist	Prompt fading, least restrictive environment
Observation assessments and then feedback sessions	1. Reinforcement of those who collect data daily 2. Group reinforcement of groups of staff who collect data 3. Follow up meetings with staff after observation 4. Consequences for those who do not collect data
Self monitoring checklist, along with protocols checks	Changing the response cost BST staff adjustment
I would keep data collection very simple and visible, such as a daily checklist or quick tally that shows whether data were collected each shift. This could be paired with brief spot checks by a supervisor so the focus is on whether data are being completed at all, not on perfection.	Because the PDC-HS points to performance consequences, effort, and competition, I would focus on adding immediate feedback and making data collection more salient and worthwhile. This might include end-of-shift feedback on data completion, highlighting how the data are used to support consumers, and reducing competing tasks by clearly prioritizing data collection over non-work conversations during programming time.
self report	consequences
In vivo or look at the permanent product (completed data sheets).	Have the binders on the work tables Leave a sign above the work table reminding staff to take data Consider creating a different data collection format (e.g. checklists vs narrative data) Post data taking top performers on staff room door Use something like the motivator watch to periodically vibrate to prompt data taking
reflection	modeling
Using variable ratio schedule
“Staff complete data collection for each assigned client following the specified schedule and place the completed sheet in the designated folder before the end of the session.”	Below is a structured, systematic intervention hierarchy designed specifically for improving staff data-collection response rates in a day program setting. The list begins with the least restrictive, easiest-to-implement, and most naturalistic strategies. More restrictive or effortful interventions appear later, to be introduced only if earlier options do not produce adequate change. Each step aligns with the PDC-HS domains identified: performance consequences, effort, and competition. Hierarchy of Interventions (Least to Most Restrictive) 1. Clarify Expectations and Simplify Access (Least Restrictive) These interventions reduce effort and remove ambiguity. a. Clarify and Model Expectations Brief retraining session explaining how and when to collect data. Demonstrations of what correct data collection looks like. Post visual cues reminding staff where the binders are and when they must be used. b. Environmental Arrangement Place data binders where staff must pass them. Color-code or label binders clearly. Provide pens, timers, and data sheets directly in the binder. Rationale: Staff may not collect data simply because it is inconvenient or unclear.
Frequency of data collection	Send a memo reminder and feedback when using or not using data binders Post graphs of data showing which staff are following and which aren’t Discipline
check list	self monitoring
observe occurrences of data collection	identify and support consequences for staff provide instruction for staff
Staff self monitoring , such as brief end of the day forms where staff can report whether data was collected and note any barriers	visual prompts and reminders , positive reinforcement, peer accountability systems
video AND LIVE MONITORING, INTERVIEWS	self monitoring, incentives for data collection, staff training, increase supervisor presence
checklist, signing off on data collection and tasks being completed	reduce effort and aversives, provide feedback
How might data be collected for this target response?	Identify several interventions that might help improve response rates. Place them in order with the least-restrictive at the top so that the interventions may be introduced systematically, adding more restrictive / less favorable interventions after the outcomes of less restrictive options have been measured.