ABA Fundamentals

The aversiveness of timeout from response‐dependent and response‐independent food deliveries as a function of delivery rate

Toegel et al. (2022) · Journal of the Experimental Analysis of Behavior 2022
★ The Verdict

Timeout suppresses behavior most when it clearly turns off a response-dependent food source.

✓ Read this if BCBAs using timeout or planned ignoring in clinics or classrooms.
✗ Skip if Practitioners who rely solely on differential reinforcement without punishment components.

01Research in Context

01

What this study did

Toegel et al. (2022) tested how the rate of free food affects timeout aversiveness. Rats pressed a lever to avoid or escape brief timeouts. During time-in, food came either after every press or on its own clock. The team varied how fast the pellets arrived.

They wanted to know: does richer positive reinforcement make the pause more punishing?

02

What they found

Timeout worked best when it clearly signaled 'food is now off.' Response-dependent food made the pause more aversive than response-independent food. Yet the exact link between pellet speed and suppression stayed murky.

Some rats slowed pressing more when pellets arrived faster, others less. The relation was not a straight line.

03

How this fits with other research

Richardson et al. (2008) saw the opposite slope: faster free pellets strengthened timeout avoidance. Toegel adds response-dependent schedules and finds the effect flips or vanishes. The clash shows that letting the animal control the food changes the impact.

Hirota (1971) first mapped the rate-avoidance curve with response-independent food only. Toegel keeps that core but adds punishment phases, updating the 50-year baseline.

Nigro (1966) proved timeout must be contingent to suppress avoidance. Toegel keeps contingency fixed and asks how the background food rate tweaks that punch, extending rather than overturning the rule.

04

Why it matters

When you use timeout, signal it clearly and keep the ongoing reinforcement rich. If the client earns reinforcers only by responding, the pause bites harder. If the reinforcers arrive for free, you may need a different rate or added prompts. Always make timeout contingent; then adjust the schedule to fine-tune suppression without overuse.

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→ Action — try this Monday

Before the next session, check that the learner earns preferred items only through target responses; then apply a brief, signaled timeout after each problem behavior and watch for faster suppression.

02At a glance

Intervention
extinction
Design
single case other
Population
not specified
Finding
mixed

03Original abstract

Seven experiments with rats assessed the aversiveness of timeout using punishment and avoidance procedures. Experiments 1 and 2 considered the contributions of stimulus change, suspending the response-reinforcer contingency, response prevention, the general disruption in the reinforcement schedule during time-in, and overall decreases in reinforcement. Results support the conclusion that response-contingent timeouts punish behavior because they are signaled periods during which an ongoing schedule of positive reinforcement is suspended. Experiments 3, 4, and 5 assessed effects of the reinforcement rate during time-in on the punitive efficacy of timeout and, for comparison, electric shock. Evidence for a direct relation between reinforcement rate and punitive efficacy was equivocal. In Experiments 6 and 7, responding avoided timeout from response-independent food deliveries. Responding was acquired rapidly when it avoided timeouts from free deliveries of pellets or a sucrose solution, but not when it avoided free deliveries of water. At steady-state, avoidance rates and proficiency were directly related to the rate of pellet or sucrose deliveries. The relation between the nature of the time-in environment and the aversiveness of timeout was clear in our avoidance experiments, but not in our punishment experiments. We discuss interpretive problems in evaluating the aversiveness of timeout in the punishment paradigm.

Journal of the Experimental Analysis of Behavior, 2022 · doi:10.1002/jeab.742