ABA Fundamentals

Comparing response blocking and response interruption/redirection on levels of motor stereotypy: Effects of data analysis procedures

DeRosa et al. (2019) · Journal of Applied Behavior Analysis 2019
★ The Verdict

Count the whole session—response blocking beats RIRD for stereotypy only when you include implementation time in your data.

✓ Read this if BCBAs treating automatically-maintained motor stereotypy in clinic or home programs.
✗ Skip if Practitioners working solely with vocal stereotypy or already using packaged schedule-plus-RIRD interventions.

01Research in Context

01

What this study did

DeRosa et al. (2019) compared two ways to stop motor stereotypy in children with autism. One way is response blocking: you gently cover the child's hands when the movement starts. The other way is response interruption and redirection (RIRD): you stop the movement and ask the child to do something else like clap or touch their head.

The team used an alternating-treatments design. Each child had sessions with blocking and sessions with RIRD in random order. They counted stereotypy two ways: only during the free-play minutes, or across the whole session including the time the adult spent giving prompts or blocking.

02

What they found

Both methods lowered stereotypy. When the researchers looked only at free-play minutes, the two methods looked the same. When they counted the whole session, response blocking won. The extra adult contact during RIRD added seconds of potential stereotypy back into the total, so RIRD lost its edge.

In short, the winner depends on how you crunch the numbers.

03

How this fits with other research

Grindle et al. (2012) also compared blocking and RIRD and saw no difference. The twist: they only scored free-play minutes, the same slice that made the methods tie in DeRosa’s study. Once DeRosa counted the whole clock, blocking pulled ahead, updating the earlier null result.

Saini et al. (2015) showed that a lighter, one-demand RIRD still works. DeRosa used that slim version, so the comparison stayed fair and current.

Callahan et al. (2023) later wrapped RIRD inside a multiple-schedule package and got big, lasting drops in stereotypy. Their success suggests RIRD can beat blocking when it is paired with clear on/off cues and reinforcement, a step beyond the head-to-head test DeRosa ran.

04

Why it matters

If your data sheet only looks at free-play windows, you might miss that blocking is actually giving you more bang for the buck across the entire session. Decide up front whether you care about stereotypy during adult interaction or just when hands are off. When you write the treatment plan, state the measurement rule and stick to it so your team isn’t fooled by an apples-to-oranges comparison.

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Run one probe session of each method and score stereotypy across the full period, then pick the winner for your client.

02At a glance

Intervention
extinction
Design
alternating treatments
Sample size
3
Population
autism spectrum disorder
Finding
mixed

03Original abstract

Autism spectrum disorder (ASD) is marked by deficits in social communication and the presence of restrictive and/or repetitive behaviors or interests. Motor stereotypy is a form of repetitive behavior that is common in ASD. Response Interruption and Redirection (RIRD) and response blocking (RB) are two interventions found to be efficacious in reducing motor stereotypy. However, the current literature presents with inconsistencies regarding the relative efficacy of these two procedures. Thus, we sought to replicate and extend previous literature by evaluating the efficacy of both interventions on reducing motor stereotypy among 3 individuals with ASD. We also sought to evaluate how variations in data analysis affected the interpretation of treatment outcomes. Results indicated that both interventions were equally efficacious at reducing stereotypy when analyzing data exclusive of treatment-implementation time. However, when analyzing total session time data, RB produced greater and more sustained reductions in stereotypy across all participants. These results emphasize the importance of data analysis decision-making in evaluating intervention outcomes.

Journal of Applied Behavior Analysis, 2019 · doi:10.1002/jaba.644