Further analysis of subtypes of automatically reinforced SIB: A replication and quantitative analysis of published datasets
A quick five-minute reinforcement probe tells you whether SIB will yield to reinforcement alone or need tougher tools.
01Research in Context
What this study did
The team pulled 49 published datasets on self-injury that had no social payoff.
They sorted each case into three subtypes using a simple test: give free toys or music during a 5-minute break.
If the SIB stopped or dropped a lot, it went in Subtype-1. If it kept going, Subtype-2.
What they found
Subtype-1 cases usually calmed down when rich reinforcement was present.
Those same cases later responded to reinforcement-only treatments.
Subtype-2 cases kept hurting themselves even with free fun stuff, so they needed stronger plans like sensory toys plus blocking or RIRD.
How this fits with other research
Wunderlich et al. (2022) looked at the same three subtypes but for harmless stereotypy. They found the split did NOT predict treatment success, so don’t use this rule for hand-flaps or spinning.
Baranek et al. (2005) already showed that automatic reinforcement keeps most stereotypy alive and brief enrichment works short-term; Hagopian adds a clear test to decide who can skip the heavy artillery.
Callahan et al. (2023) later showed RIRD in multiple schedules slashes stereotypy fast; Hagopian’s subtype test tells you when you might need that extra punch.
Why it matters
Next time you run an alone or leisure condition during an FA, watch the clock. If SIB almost stops, plan reinforcement first. If it keeps roaring, line up blocking, sensory matched items, or RIRD from day one. This five-minute check saves weeks of failed gentle plans.
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02At a glance
03Original abstract
Hagopian, Rooker, and Zarcone (2015) evaluated a model for subtyping automatically reinforced self-injurious behavior (SIB) based on its sensitivity to changes in functional analysis conditions and the presence of self-restraint. The current study tested the generality of the model by applying it to all datasets of automatically reinforced SIB published from 1982 to 2015. We identified 49 datasets that included sufficient data to permit subtyping. Similar to the original study, Subtype-1 SIB was generally amenable to treatment using reinforcement alone, whereas Subtype-2 SIB was not. Conclusions could not be drawn about Subtype-3 SIB due to the small number of datasets. Nevertheless, the findings support the generality of the model and suggest that sensitivity of SIB to disruption by alternative reinforcement is an important dimension of automatically reinforced SIB. Findings also suggest that automatically reinforced SIB should no longer be considered a single category and that additional research is needed to better understand and treat Subtype-2 SIB.
Journal of Applied Behavior Analysis, 2017 · doi:10.1002/jaba.368