Bouts, Pauses, and Units of Operant Performance: A Primer.

Operant behavior typically occurs in bouts and pauses. The microstructural analysis of bouts and pauses reveals important and separable information about the physical characteristics of the operant and the motivation behind it. An analysis of interresponse times (IRTs) often reveals a mixture of two exponential distributions.

Application of the evolutionary theory of behavior dynamics to severe challenging behavior.

The evolutionary theory of behavior dynamics (ETBD) is a genetic algorithm that applies the Darwinian principles of evolutionary biology to model how behavior changes dynamically via selection by contingencies of reinforcement. The ETBD is a complexity theory where low-level rules of selection, reproduction, and mutation operate iteratively to animate "artificial organisms" that generate emergent outcomes. Numerous studies have demonstrated the ETBD can accurately model behavior of live animals in the laboratory, and it has been applied recently to model automatically maintained self-injury.

A replication and extension of the augmented competing stimulus assessment.

Augmenting competing stimulus assessments by embedding tactics to increase stimulus engagement and disrupt challenging behavior can improve outcomes of treatments for automatically maintained self-injurious behavior, even for treatment-resistant subtypes. This study replicated and extended research on augmented competing stimulus assessments by reporting outcomes for 16 consecutively encountered cases with automatically maintained self-injurious behavior (19 total applications); six participants had treatment-responsive Subtype 1 and 10 had treatment-resistant Subtypes 2 or 3. Fewer high-competition stimuli were identified for individuals with treatment-resistant subtypes.

Simplified methods for identifying subtypes of automatically maintained self-injury.

Subtypes of automatically maintained self-injurious behavior (SIB) have been defined based on response patterns observed during the functional analysis, which are thought to reflect each subtype's distinct mechanisms. Current practice for identifying subtypes involves using structured criteria to identify whether SIB is automatically maintained, followed by the application of additional criteria to identify the subtype. We describe a series of studies directed at simplifying these methods to facilitate wider application of the subtyping model in research and practice.