Some Effects of Magnitude of Reinforcement on Persistence of Responding

Updated Recommendations for Reinforcement Schedule Thinning following Functional Communication Training

Schedule thinning is a necessary treatment procedure following the acquisition of a communication response during functional communication training. In this article, we update and extend the Hagopian et al. Behavior Analysis in Practice, 4, 4-16, (2011) review and recommendations on schedule-thinning procedures following functional communication training. Since their publication, substantial research has been published on the efficacy, efficiency, and social validity of schedule-thinning methods. We provide updated recommendations for schedule thinning based on contemporary literature that has been published since 2011, as well as discuss key areas for future research.

Resistance to change, of behavior and of theory

The persistence of operant behavior when disrupted tends to be positively related to how often reinforcers were delivered in the past. Behavioral momentum theory describes this finding as the outcome of Pavlovian processes. That is, the relation between discriminative stimuli and reinforcers that were delivered in their presence strengthens behavior, thereby making it more likely to persist. If only the story were that simple. A growing number of findings challenge the basic tenets of behavioral momentum theory. Some even call into question whether Pavlovian relations contribute to persistence in the first place. In this paper, I will review behavioral momentum theory and some of the data that have been problematic for the theory. I will argue that despite these very real challenges, the theory provides important utility not only to basic analyses of response persistence but also to clinical interventions directed at long-term reductions in problem behavior. It, for example, has set the stage for the development of alternative conceptual analyses of resistance to change, two of which will be highlighted for readers. Moreover, behavioral momentum theory may tell us something important about the reasons it continues to have an influence on the field, despite the challenging data that deter it.

Behavior Momentum Theory and Humans: A Review of the Literature

Behavioral Momentum Theory (BMT) is often described as analogous to Newton's (1687) laws of motion. That is to say, similar to an object in motion continuing in motion unless acted upon by a force, responses occurring in a static environment will continue to occur at the same rate, unless presented with a disruptor (Nevin, Tota, Torquato, & Shull, Journal of the Experimental Analysis of Behavior, 53, 359-379, 1990). When evaluating response rates through a behavioral momentum framework, responding continuing after a change in reinforcer conditions is said to persist. Previous research conducted with nonhuman animals indicates greater response persistence following conditions with either higher reinforcer rates or higher reinforcer magnitudes (Nevin, Journal of the Experimental Analysis of Behavior, 21(3), 389-408, 1974; Nevin et al., Journal of the Experimental Analysis of Behavior, 53, 359-379, 1990). Although BMT's implications extend across human and nonhuman species, this literature review attempts to provide practitioners and researchers information regarding response persistence across various conditions with human participants.

An Evaluation of the Effects of Varying Magnitudes of Reinforcement on Variable Responding Exhibited by Individuals With Autism

Interventions aimed at increasing communicative response variability hold particular importance for individuals with autism spectrum disorders (ASD). Several procedures have been demonstrated in the applied and translational literature to increase response variability. However, little is known about the relationship between reinforcer magnitude and response variability. In the basic literature, Doughty, Giorno, and Miller evaluated the effects of reinforcer magnitude on behavioral variability by manipulating reinforcer magnitude across alternating relative frequency threshold contingencies, with results suggesting that larger reinforcers induced repetitive responding. The purpose of this study was to translate Doughty et al.'s findings to evaluate the relative effects of different magnitudes of reinforcement on communicative response variability in children with ASD. A Lag 1 schedule of reinforcement was in place during each condition within an alternating treatments design. Magnitudes of reinforcement contingent on variable communicative responding were manipulated across the two conditions. Inconsistent with basic findings, the results showed higher levels of variable communicative responding associated with the larger magnitude of reinforcement. These outcomes may have potential implications for interventions aimed at increasing response variability in individuals with ASD, as well as future research in this area.

Effects of response preference on resistance to change

Treatments based on differential reinforcement of alternative behavior, such as functional communication training, are widely used. Research regarding the maintenance of related treatment effects is limited. Nevin and Wacker (2013) provided a conceptual framework, rooted in behavioral momentum theory, for the study of treatment maintenance that addressed two components: (a) reemergence of problem behavior, and (b) continued expression of appropriate behavior. In the few studies on this topic, focus has been on variables impacting the reemergence of problem behavior, with fewer studies evaluating the persistence of appropriate behavior. Given the findings from applied research related to functional communication training, variables related to response topography, such as response preference, may impact this aspect of maintenance. In the current study, the impact of response preference on persistence was evaluated in the context of functional communication training for individuals who did not exhibit problem behavior (Experiment 1) and for individuals with a history of reinforcement for problem behavior (Experiment 2). High-preferred mands were more persistent than low-preferred mands. These findings suggest that response related variables, such as response preference, impact response persistence and further suggest that response related variables should be considered when developing interventions such as functional communication training.