Reinforcing efficacy of interactions with preferred and nonpreferred staff under progressive-ratio schedules.

Jerome et al. (2008) asked three adults with developmental delays to press a button for short chats with staff.

First the adults looked at photos and picked the staff they liked most and least. Then they worked on a progressive-ratio schedule. The button presses kept going up until the adult stopped. The team called that final number the break point.

Every adult quit sooner when the chat partner was the non-preferred staff member. They kept pressing longer when the partner was the preferred staff member.

The break-point gap showed that social time with a liked staff member is a stronger reinforcer.

Castelluccio et al. (2019) ran the same pictorial choice but with break rooms instead of people. Adults still worked harder for their top pick, so the method holds across stimuli.

Guercio et al. (2025) flipped the idea outward. In group homes, staff earned their own preferred items for turning in data sheets. Fidelity jumped to eighty percent or better in every house. Together the three studies show: preference assessments predict effort for both clients and staff.

Heinicke et al. (2016) saw mixed results when pictures were not backed by real access. They had to add short sessions where choosing a picture produced the item. That step is already built into Jared’s break-point test, so the current protocol saves time.

You can run a five-minute photo ranking before pairing staff with clients. Match each adult with a high-preference staff member and you get more learning for less effort. The same ranking tool works for picking break rooms, job tasks, or staff reinforcers. One small assessment, three big pay-offs.