An alternative method of thinning reinforcer delivery during differential reinforcement.
You can thin DRA by just keeping the reinforcer out of reach—no schedules needed—but newer studies show jumping straight to lean fixed schedules works faster.
01Research in Context
What this study did
Hawley et al. (2004) wrote up a new way to thin reinforcement during DRA.
Instead of building fancy schedules, you simply keep the fun items on a high shelf.
The child must ask or do the target response to get the item.
No numbers on kids or results were given; the paper is a how-to note.
What they found
The authors showed the steps but did not report outcome data.
They only said the method is workable and worth trying.
How this fits with other research
Chesbrough et al. (2024) now leap past this idea.
They proved jumping straight to a lean fixed schedule beats slow thinning.
So the 2004 shelf trick feels old-school; fixed-lean is faster and clearer.
Iannaccone et al. (2021) give a cousin tactic: progressive delay with DRA.
They keep the response but make the child wait longer, not hide the item.
Both papers keep DRA alive while thinning, yet use different levers.
Drifke et al. (2020) also back the DRA rule during FCT delays.
They show requiring a response beats simply withholding or giving free tokens.
Why it matters
You now have three user-friendly ways to thin DRA: hide the item, jump to lean fixed, or stretch the delay.
If you want zero setup, try fixed-lean first.
If the client needs the item visible to remember the response, use the shelf trick or add tiny delays.
Pick one, take data, and switch if progress stalls.
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02At a glance
03Original abstract
Differential reinforcement of alternative behavior (DRA) may result in rates of reinforcement that are impractical for caregivers to implement; therefore, recent research has examined methods for thinning reinforcer delivery during DRA. In this study, reinforcer delivery was thinned during DRA by restricting access to the participant's alternative response materials.
Journal of applied behavior analysis, 2004 · doi:10.1901/jaba.2004.37-213