Using self‐monitoring and differential reinforcement of low rates of behavior to decrease repetitive behaviors: A case study
A pocket clicker plus DRL cut automatically reinforced stereotypy in half for one autistic child.
01Research in Context
What this study did
Looney et al. (2018) worked with one autistic child who rocked and flapped his hands. The team gave the boy a small clicker. He pressed it each time he noticed the movement. If he kept the clicks under a set number, he earned extra play time.
The study used an ABAB design. The DRL package was on, then off, then on again. This showed if the clicks and rewards really controlled the stereotypy.
What they found
When the clicker plus DRL was active, the boy's body rocking dropped by half. The behavior bounced back each time the package was removed. The simple self-count plus reward cut automatically reinforced stereotypy without adult prompts.
How this fits with other research
Matson et al. (1994) extends this idea to younger, less verbal children. Their picture cards helped preschoolers with autism cut stereotypy while learning daily tasks. The 2018 clicker works for older kids who can count; the 1994 cards work for kids who cannot.
Marcucella (1974) showed the basic DRL rule forty years earlier. Pigeons pecked less when a light signaled the schedule. Looney et al. moved the same rule from lab to clinic and added self-monitoring.
Davison et al. (1984) found that adults with ID kept working after staff praise stopped once they tracked their own output. Looney's case mirrors this: the boy's own clicks, not adult reminders, held the gains.
Why it matters
You can hand a clicker to any client who can count and wants screen time. Set a low but fair limit for clicks. Let the child score his own stereotypy and cash in for a favorite activity. No extra staff, no extra tokens, just a pocket-sized tool that halves repetitive movement in one session.
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02At a glance
03Original abstract
We used a reversal design to evaluate the effects of a self‐monitoring system and differential reinforcement of low rates of behavior on decreasing repetitive body movements in a child with autism. A trial‐based functional analysis revealed that repetitive body movements were maintained by automatic reinforcement. Treatment consisted of teaching the participant to use a self‐monitoring system to monitor the occurrence of repetitive body movements. A stimulus control analysis revealed the self‐monitoring system acquired stimulus control over the repetitive body movements, in that they were more likely to occur in the absence of the system than in its presence. The self‐monitoring system was implemented with a differential reinforcement of low rates of behavior, and their combined effects were evaluated within a reversal design. Repetitive body movements decreased with the implementation of the treatment. The use of self‐monitoring systems to target problem behavior is discussed.
Behavioral Interventions, 2018 · doi:10.1002/bin.1517