The Effects of Quality of Reinforcement on the Resurgence of Responding.
Rich reinforcers plant a bigger seed for resurgence—downshift quality before you fade to zero.
01Research in Context
What this study did
Romani (2025) worked with three children who had developmental delays. The team first gave high-quality snacks for button pressing, then switched to lower-quality snacks. Later they stopped all snacks. They watched how much the old button pressing came back.
The design let them compare resurgence after rich versus lean reinforcement.
What they found
All three kids showed more resurgence when the earlier snacks had been better. Higher-quality reinforcers made the old behavior rebound harder.
Lower-quality snacks led to smaller resurgence spikes.
How this fits with other research
Al-Jawahiri et al. (2019) pooled 28 FCT studies and showed thinning works best when kids already have strong communication. Romani adds a warning: if the reinforcers you thin away were super potent, watch for bigger relapse later.
Jennett et al. (2003) looks like a contradiction. They gave free reinforcement in a classroom and saw kids choose easy tasks and make more errors. Romani also finds that rich reinforcement has a downside, but the downside shows up later as resurgence, not right away as accuracy loss. The difference is timing and setting: classroom versus lab.
Johnson et al. (2004) tweaked obtained reinforcement during FCT and cut aggression. Both papers say the same thing: the real properties of your reinforcers—rate or quality—shape what happens next.
Why it matters
Before you thin or fade reinforcement, rate how good that reinforcer really is. If it’s a kid’s favorite iPad or cookie, expect a bigger bounce-back when you pull it. Plan extra booster sessions or stagger the quality down first. Track resurgence for at least a week after you stop.
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02At a glance
03Original abstract
The current study evaluated the effects of quality of reinforcement on the resurgence of target behavior responding. We defined higher- or lower-quality stimuli in terms of reinforcer potency, and specifically by the identified extent to which a reinforcer maintains responding at progressively greater response requirements. We first conducted a stimulus potency analysis to empirically derive higher- or lower-quality reinforcers using a progressive ratio schedule of reinforcement. We then conducted a human operant study within a three-condition resurgence evaluation with three children diagnosed with developmental disabilities. During Condition 1, target behavior responding led to higher- or lower-quality reinforcement according to a variable interval (VI) 30-s schedule of reinforcement. Following stable responding, Condition 2 delivered higher- or lower-quality reinforcement to the alternative behavior according to a VI 30-s schedule of reinforcement as target behavior responding was placed on extinction. During Condition 3, responding to both the target and alternative responses was placed on extinction. All three participants showed greater resurgence of the target behavior to a greater extent within the condition associated with higher-quality reinforcer delivery. We will discuss these results considering the importance of quality of reinforcement to both experimental and applied behavior analysis.
Behavioral Sciences, 2025 · doi:10.3390/bs15111531