Phase duration and resurgence
More early reinforcement means bigger resurgence; more later alternative reinforcement means smaller resurgence—so front-load the new behavior, not just longer extinction.
01Research in Context
What this study did
Smith et al. (2022) tested how the length of each phase changes resurgence. Adults without disabilities pressed buttons for points. First, the team paid them for one button for a short or long time. Next, they paid for a new button instead. Finally, they stopped all payments and watched the old button come back.
The study used a single-case design. Each adult repeated the three phases several times. The researchers measured how much the old button returned when payments ended.
What they found
Longer first-phase pay made resurgence bigger. Longer second-phase pay made resurgence smaller. The results fit a math model of choice between responses.
In plain words: the more you reinforce a behavior at the start, the harder it bounces back later. The more you reinforce the new behavior before extinction, the softer the bounce.
How this fits with other research
Greer et al. (2023) and Greer et al. (2020) looked at the same question in children with problem behavior. They also found that longer extinction treatment did not reduce resurgence. The lab result now matches the clinic: duration alone does not protect you.
Matson et al. (2009) showed the same history effect earlier. Adults playing a baby-care game resurgenced more when the first behavior had a longer pay history. Smith et al. (2022) turned that pattern into a clear formula.
Shahan et al. (2025) adds a twist. They showed that bigger alternative rewards shrink the extinction burst. Together, the papers say: make the new payoff either longer or richer to protect against relapse.
Why it matters
When you plan extinction, think in phases. If the client has years of reinforcement for the old behavior, expect a big resurgence. Build a long, strong alternative-reinforcement phase before you stop all rewards. Do not trust extinction length alone; pair it with a rich differential-reinforcement plan. Track data after you end treatment so you can catch the bounce and respond quickly.
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02At a glance
03Original abstract
Resurgence, the recurrence of responding due to a worsening of reinforcement conditions for current behavior, is a prevalent form of treatment relapse. Resurgence as Choice in Context predicts that increasing the duration of exposure to reinforcement for target responding during Phase 1 will increase resurgence magnitude, whereas increasing the duration of exposure to reinforcement for alternative responding and extinction for target responding during Phase 2 will decrease resurgence magnitude. We conducted an experiment evaluating these predictions with human participants recruited through Amazon’s Mechanical Turk platform. We varied Phase 1 and Phase 2 durations across four experimental groups. Resurgence as Choice in Context successfully predicted the differences in resurgence magnitude across these groups, and fitting the quantitative model to the obtained data yielded an exceptional coefficient of determination. We discuss the implications of these results for using Resurgence as Choice in Context to inform experiments with human participants and the feasibility of using human-operant preparations to evaluate resurgence.
Journal of the Experimental Analysis of Behavior, 2022 · doi:10.1002/jeab.725