As the natural science of behavior evolves, the use of precise terminology is critical to maintain its conceptual and terminological integrity. The current state of terminology in stimulus control is well developed with respect to reinforcement and incomplete with respect to punishment. In this paper, we aim to make the case that the current conceptualization for discriminative stimulus control in relation to punishment would be enhanced by modifying the definition of the discriminative stimulus for punishment (SDp) and by adding a new term to the current taxonomy that denotes when a punishment contingency is inactive.
Speakers from culturally and linguistically diverse backgrounds are disproportionately identified with communication deficits, a defining feature of autism spectrum disorder. The present case study demonstrates the use of a verbal operant experimental analysis as a measure of functional language. This analysis allows a bilingual participant to switch freely between responses in Spanish and English. Prior to receiving services, a pretreatment functional analysis of verbal behavior is used to identify the speaker's present level of functional language and develop an individualized treatment plan for shaping a more complex verbal repertoire. The benefits of culturally responsive early intensive behavioral intervention are demonstrated by a posttest evaluation 5 months later. Functional analyses of language are shown to be a verbal-community-centered approach to observing and measuring the verbal behavior of speakers from diverse backgrounds.
Human-operant experiments conducted with computer software facilitate translational research by assessing the generality of basic research findings and exploring previously untested predictions about behavior in a cost-effective and efficient manner. However, previous human-operant research with computer-based tasks has included little or no description of rigorous validation procedures for the experimental apparatus (i.e., the software used in the experiment). This omission, combined with a general lack of guidance regarding how to thoroughly validate experimental software, introduces the possibility that nascent researchers may insufficiently validate their computer-based apparatus. In this paper, we provide a case example to demonstrate the rigor required to validate experimental software by describing the procedures we used to validate the apparatus reported by Smith and Greer (2021) to assess relapse via a crowdsourcing platform. The validation procedures identified several issues with early iterations of the software, demonstrating how failing to validate human-operant software can introduce confounds into similar experiments. We describe our validation procedures in detail so that others exploring similar computer-based research may have an exemplar for the rigorous testing needed to validate computer software to ensure precision and reliability in computer-based, human-operant experiments.
Most studies examine treatment relapse by programming contextual changes with perfect treatment integrity or with omission errors in the absence of a context change (i.e., all alternative responses placed on extinction). Recently, Mitteer et al. (2018) examined caregiver behavior in response to a confederate playing the role of a child with destructive behavior, providing the opportunity for researchers to empirically derive reinforcement schedules and test caregiver error patterns within future relapse tests with children. The present study represents a pilot demonstration of methods for reverse translating findings from caregivers to relapse preparations with children. We used a human-operant arrangement with three children with autism spectrum disorder in which they (a) emitted a target response (i.e., pad touch) for a preferred item in a home-like context, (b) emitted an alternative response (e.g., card touch) for the item in a clinic context while the target response was extinguished, and (c) experienced a relapse test in which the experimenter programmed the same low-rate omission and commission errors that caregivers made in the prior study within the home-like context. During the relapse test, target responding approximated or exceeded baseline ranges for all cases, and alternative behavior extinguished for two of the three cases. We discuss how researchers might incorporate similar translation processes in future relapse research.
Prediction and control of operant behavior are major goals of behavior analysis. We suggest that achieving these goals can benefit from doing more than identifying the three-term contingency between the behavior, its setting stimulus, and its consequences. Basic research now underscores the idea that prediction and control require consideration of the behavior's history. As one example, if an operant is a goal-directed action, it is controlled by the current value of the reinforcer, as illustrated by the so-called reinforcer devaluation effect. In contrast, if the behavior is a habit, it occurs automatically, without regard to the reinforcer's value, as illustrated by its insensitivity to the reinforcer devaluation effect. History variables that distinguish actions and habits include the extent of their prior practice and their schedule of reinforcement. Other operants can appear to have very low or zero strength. However, if the behavior has reached that level through extinction or punishment, it may precipitously increase in strength by changing the context, allowing time to pass, presenting the reinforcer contingently or noncontingently, or extinguishing an alternative behavior. Behaviors that are not suppressed by extinction or punishment are not affected the same way. When predicting the strength of an operant behavior, what you see is not all there is. The behavior's history counts.
