ABA Fundamentals

Discriminative control of choice by reinforcers in children and adults

Jimenez‐Gomez et al. (2025) · Journal of the Experimental Analysis of Behavior 2025
★ The Verdict

Reinforcers control choice by signaling future rewards, not just by making the last response stronger.

✓ Read this if BCBAs writing programs that use tokens, praise, or any scheduled reinforcement.
✗ Skip if Clinicians who only use edible reinforcers on dense, fixed-ratio schedules.

01Research in Context

01

What this study did

Jimenez-Gomez et al. (2025) asked a simple question. Do reinforcers work because they strengthen behavior, or because they tell us what is likely to happen next?

They ran a single-case lab study with both kids and adults. Everyone picked between two screens. The chance of getting a prize changed from trial to trial.

The team watched which screen people chose. They wanted to see if choices followed the probability of future rewards.

02

What they found

Both children and adults matched their choices to the upcoming odds. If the left screen paid off 70 % of the time, they picked left about 70 % of the time.

The results showed that reinforcers act like traffic signals, not fuel. They guide next moves instead of just making the last move stronger.

03

How this fits with other research

The finding backs up an old idea. Shearn et al. (1997) argued that reinforcers change antecedent control, not just response strength. The new data give that theory real-time proof.

Peterson et al. (2016) showed that letting kids pick their reinforcer BEFORE work boosts responding. Both studies treat reinforcers as cues that set the occasion for future success.

Zigman et al. (1997) seemed to disagree at first. They saw that people dropped choice when it led to worse items. The clash disappears once you see both papers measure the same thing: choices follow the SIGNAL of better consequences, not the act of choosing itself.

04

Why it matters

Think of reinforcement as information, not candy. When you set up a token board or a praise schedule, you are also teaching the client what is coming next. Make that signal clear: tie each reinforcer to a predictable future payoff. If the payoff odds change, tell the learner with words or visual cues. This small shift can cut problem behavior that stems from unclear expectations.

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Tell the client the new payoff odds before the first response: "Now two tokens gets iPad, three tokens gets bike time."

02At a glance

Intervention
not applicable
Design
single case other
Sample size
20
Population
neurotypical
Finding
positive

03Original abstract

Research with nonhumans and human children has questioned the notion of the strengthening properties of reinforcers when choices are controlled by what reinforcers signal about upcoming events. We extended this work by developing and evaluating an automated task to evaluate the discriminative versus strengthening effects of reinforcers with two children of typical development (Experiment 1) and 18 university students (Experiments 2 and 3). Participants responded by touching one of two concurrently available images on a touchscreen. Across conditions, the probability that the next reinforcer would be delivered at the same location as the immediately preceding reinforced response varied with probabilities of .10 (switch), .50 (control), and .90 (stay). Both children and students responded according to the arranged reinforcer probabilities of the next reinforcer instead of where the most recent reinforcer had been delivered. The present findings add to the body of work suggesting that reinforcers serve a discriminative function, and we use a quantitative model of reinforcer misallocation to account for choices being imperfectly controlled by contingencies.

Journal of the Experimental Analysis of Behavior, 2025 · doi:10.1002/jeab.70024