ABA Fundamentals

Contextual influences on resistance to disruption in children with intellectual disabilities.

Lionello-Denolf et al. (2011) · Journal of the experimental analysis of behavior 2011
★ The Verdict

Mix rich and lean reinforcement within one session to help kids with ID keep working when distractions pop up.

✓ Read this if BCBAs doing tabletop or natural-environment teaching with children who have intellectual disabilities.
✗ Skip if Clinicians who only run pure DRA sessions with no lean components.

01Research in Context

01

What this study did

The team worked with children who have intellectual disabilities.

They compared two ways to set up reinforcement schedules.

One way mixed rich and lean parts within the same session.

The other way put all rich trials in one block and all lean trials in another block.

They then added distractions to see which setup kept the kids working.

02

What they found

Kids trained with the mixed setup kept going longer during rich parts when distractions hit.

Kids trained with the blocked setup did not show this strong stay-power.

The result fits behavioral momentum theory: richer histories make behavior tougher to knock off.

03

How this fits with other research

Catania et al. (1972) saw the same mixed-schedule boost years earlier, but with typical adults doing a discrimination task.

Their early lab work gave the idea that schedule context matters; Amore et al. (2011) now show it helps kids with ID too.

Lozy et al. (2019) also compared mixed versus blocked setups.

They found lower-preferred reinforcers worked fine in single-operant trials, echoing the theme that context changes effect.

Together the three studies say: how you arrange the session, not just what you deliver, shapes learning.

04

Why it matters

If you run discrete-trial or table work, shuffle high-reward trials among low-reward ones within the same lesson.

This simple mix can make new skills stick better when the clinic gets noisy or you step away to take data.

No extra tokens or candy needed—just smarter timing.

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→ Action — try this Monday

Alternate high-preference and low-preference trials randomly during your next teaching block and probe with a quick distraction to check staying power.

02At a glance

Intervention
other
Design
single case other
Sample size
12
Population
intellectual disability
Finding
positive

03Original abstract

Training context can influence resistance to disruption under differing reinforcement schedules. With nonhumans, when relatively lean and rich reinforcement schedules are experienced in the context of a multiple schedule, greater resistance is found in the rich than the lean component, as described by behavioral momentum theory. By contrast, when the schedules are experienced in separated blocks of sessions (i.e., as single schedules), resistance is not consistently greater in either component. In the current study, two groups of 6 children with intellectual disabilities responded to stimuli presented in relatively lean or rich components. For both, reinforcers were delivered according to the same variable-interval reinforcement schedule; additionally, the rich component included the delivery of response-independent reinforcers. The Within group was trained on a multiple schedule in which lean and rich components alternated regularly within sessions; the Blocked group was trained on two single schedules in which sessions with either the lean or rich schedule were conducted in successive blocks. Disruption tests presented a concurrently available alternative stimulus disrupter signaling the availability of tangible reinforcers. All 6 Within participants showed greater resistance to disruption in the rich component, consistent with behavioral momentum theory. By contrast, there was no consistent or significant difference in resistance for Blocked participants. This finding is potentially relevant to the development of interventions in applied settings, where such interventions often approximate single schedules and include response-independent reinforcers.

Journal of the experimental analysis of behavior, 2011 · doi:10.1901/jeab.2011.96-317