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.
This study examined whether experimental functional analyses (FAs) conducted by parents at home with coaching via telehealth would produce differentiated results, and compared these results to the functions identified from structured descriptive assessments (SDAs) also conducted by parents at home via telehealth. Four boys between the ages of 4- and 8-years old with intellectual and developmental disabilities and their parents participated. All assessments were conducted in the children's homes with their parents serving as intervention agents and with coaching from remote behavior therapists using videoconferencing technology. Parent-implemented FAs produced differentiated results for all 4 children in the study. Overall, analyzing antecedent-behavior (A-B) and behavior-consequence (B-C) relations from the SDA videos identified only half of the functions identified by the FAs. For children whose SDA results were differentiated, analyzing A-B relations correctly identified 4 of 5 functions. Analyzing B-C relations correctly identified 5 of 6 functions identified by the experimental FA, but overidentified attention for all children. Implications for conducting functional analyses and interpreting structured descriptive assessment via telehealth are discussed.
We replicated and extended Mitteer, Greer, Fisher, and Cohrs (2018) by examining the effects of a video model on inputting data into GraphPad Prism, which is a necessary skill for graph construction. We used a concurrent multiple-probe-across-behavior design with two behavior technicians to assess data-input and graphing skills separately prior to and during access to relevant video models. We evaluated the generality of the training procedures by assessing both skills during data-input-plus-graphing sessions without access to the video models. The video models resulted in mastery of data-input and graphing skills when assessed individually. We observed training effects generalize to data-input-plus-graphing sessions once behavior technicians experienced all relevant video models. These results suggest that individuals should view both data-input and graphing video models prior to depicting single-case design data in Prism but that these skills can maintain at high levels of accuracy without continued access to the training materials.
Delay discounting is a theoretical framework for assessing impulsivity characterized by a tendency to choose SSRs over LLRs. Despite the potential therapeutic value of targeting impulsive choice in the context of obsessive-compulsive (OC) symptoms, little research has been done to examine the link between the 2. In the present study, we examined the role of impulsivity in OC symptoms using a monetary and novel hand-washing delay-discounting task. Participants completed both delay-discounting procedures, as well as the Obsessive-Compulsive Inventory-Revised (OCI-R; Foa et al.,2002). Participants who showed steeper delay discounting in the monetary discounting task also tended to discount steeply in the washing task. In addition, participants showed significantly more delay discounting in the washing than in the monetary task, suggesting contextual control over impulsive behavior. Further, participants with washing compulsions demonstrated greater delay discounting on the washing task than those without washing compulsions. Higher scores on the Washing subscale of the OCI-R uniquely predicted delay discounting in the washing task at a level of marginal significance. Our findings suggest that impulsivity may be implicated in OC symptoms, and indicate the need for a more precise conceptualization of the relationship between impulsivity and compulsivity.
Behavior analysts have long recognized the potential of a partnership with pediatric medicine as an opportunity to expand the influence of behavior analysis and positively impact population health. Despite significant achievements in this domain, the impact of behavioral science on the daily practice of pediatrics has been limited. In this commentary, the authors argue that the current health care and research environments are ripe for a renewed focus on behavioral modification in pediatric primary care, with a particular emphasis on the study of high-frequency, low-intensity problems. They provide some analysis of why behavioral pediatrics has failed to gain traction in primary care, describe aspects of the current primary care practice and research landscapes that provide opportunities for an expanded portfolio of research, identify several exemplars from the behavior analytic literature that have influenced pediatric primary care or have the potential to do so, and make recommendations for producing influential data.
Behavioral economics, a synthesis of the experimental analysis of behavior (EAB) and economics, seeks to determine the relative value of reinforcers as a function of various environmental constraints. Early animal and human studies often focused on drug reinforcement, and this has continued to the present. In particular, behavioral economic analyses of human and animal behavior in relation to nicotine and cigarette smoking have contributed to a greater understanding of this behavior, and to a greater reliance on these methods in the field of smoking cessation treatment, tobacco regulatory science, and tobacco control. In this commentary, we briefly describe the history of behavioral economics in the context of EAB methods, the particular contribution of these methods to understanding cigarette smoking and the advance of tobacco regulation, as well as opportunities for growth and remaining challenges in this area. As behavioral economics continues to stimulate research and inform policy, we propose that the underlying elements of a rigorous analytic approach to understanding behavior are key contributors to the fruitfulness of this approach.
Behavioral pharmacology is a branch of the experimental analysis of behavior that has had great influence in drug addiction research and policy. This paper provides an overview of recent behavioral pharmacology research in the field of tobacco regulatory science, which provides the scientific foundation for the Food and Drug Administration Center for Tobacco Products (FDA CTP) to set tobacco control policies. The rationale and aims of tobacco regulatory science are provided, including the types of preclinical operant behavioral models it deems important for assessing the abuse liability of tobacco products and their constituents. We then review literature relevant to key regulatory actions being considered by the FDA CTP, including regulations over nicotine and menthol content of cigarettes, and conclude with suggesting some directions for future research. The current era of tobacco regulatory science provides great opportunities for behavioral pharmacologists to address the leading cause of preventable death and disease worldwide.
Delay and probability discounting functions typically take a monotonic form, but some individuals produce functions that are nonsystematic. Johnson and Bickel (2008) developed an algorithm for classifying nonsystematic functions on the basis of two different criteria. Type 1 functions were identified as nonsystematic due to random choices and Type 2 functions were identified as nonsystematic due to relatively shallow slopes, suggesting poor sensitivity to choice parameters. Since their original publication, the algorithm has become widely used in the human discounting literature for removal of participants, with studies often removing approximately 20% of the original sample (Smith & Lawyer, 2017). Because subject removal may not always be feasible due to loss of power or other factors, the present report applied a mixed effects regression modeling technique (Wileyto, Audrain-Mcgovern, Epstein, & Lerman, 2004; Young, 2017) to account for individual differences in DD and PD functions. Assessment of the model estimates for Type 1 and 2 nonsystematic functions indicated that both types of functions deviated systematically from the rest of the sample in that nonsystematic participants were more likely to show shallower slopes and increased biases for larger amounts. The results indicate that removing these participants would fundamentally alter the properties of the final sample in undesirable ways. Because mixed effects models account for between-participant variation with random effects, we advocate for the use of these models for future analyses of a wide range of functions within the behavioral analysis field, with the benefit of avoiding the negative consequences associated with subject removal.
Self-injurious behavior (SIB) presents unique challenges as researchers have identified that some SIB may be resistant to treatment. The unit of analysis in this research is often the frequency of behavior with relatively little attention devoted to the analysis of inter-response time relations. We assessed whether changes in the rate of SIB were also associated with changes in the temporal distribution of this behavior in the presence and absence of systematically manipulated environmental variables. This study included three participants diagnosed with profound intellectual disabilities who engaged in SIB maintained by both negative and automatic reinforcement. For two of the participants, we used a multiple baseline design across participants to assess the effects of noncontingent access to preferred activities on both the rate and temporal distribution of SIB. For the third participant, we used a reversal design to assess the effects of a change in daily schedule (i.e., attending or not attending work) on the rate and temporal distribution of SIB. For all three participants, antecedent manipulations decreased the rate of SIB; however, operant contingency values (a measure of temporal distribution) did not change in a corresponding fashion. These data suggest that although antecedent manipulations may decrease the overall rate of the behavior, once SIB is emitted, additional instances are likely to occur close together in time.
Delivery of healthcare services via telehealth has been growing in popularity, and work completed by behavior analytic researchers and practitioners have supported this trend. Behavior analysts at the University of Iowa Children's Hospital (UICH) developed a telehealth model of service delivery to build upon their already established in-clinic and in-home services. Results from their telehealth studies showed positive effects. Social functions were identified for most children, and problem behavior decreased by an average of 94.14%. Additionally, parent satisfaction was quite high, suggesting this mode of service delivery was acceptable to caregivers. Given the increasing empirical support for providing behavior analytic services via telehealth, careful consideration needs to be given to the numerous ethical issues involved in telehealth service delivery. The current article describes the telehealth service delivery model developed at UICH as well as the ethical issues considered at different points when delivering these telehealth services. Following these ethical considerations, implications for future research and clinical practice are discussed.
Chronically unemployed adults may benefit from intensive job-skills training; however, training programs do not always reliably engage participants in mastering skills. This study examined effects of voucher reinforcement for performance on a job-skills training program in the therapeutic workplace. Participants were four unemployed, substance abusing adults who earned monetary vouchers for working on programs targeting typing skills. Participants were exposed to two payment conditions that differed in whether or not pay was dependent on performance in a within-subject reversal design. In the productivity-pay condition, participants earned $8.00 per hour for attending the workplace plus a bonus for performance. In the base-pay condition, participants were paid an hourly wage that was equivalent to the total hourly earnings from the previous productivity-pay condition. Participants completed less work on the typing programs in the base- than the productivity-pay condition, but the amount of time spent in the workroom and the accuracy and rate of typing were not affected by the pay manipulation. All participants reported preferring base pay over productivity pay. Explicit reinforcement of productivity maintains consistent work in training programs, but more aspects of productivity pay need to be refined for effective, efficient, and socially valid implementation with unemployed, substance-abusing adults.
The present study investigated the role of drug-paired stimuli in controlling the behavior of rhesus monkeys. Systematic observations were made with nine monkeys who had a history of drug self-administration; they had been lever pressing to produce intravenous infusions of various drugs. These observations revealed that the stimulus light co-occurring with drug infusion produced robust and cue-directed behavior such as orienting, touching and biting. Experiment 1 showed that this light-directed behavior would occur in naïve monkeys exposed to a Pavlovian pairing procedure. Four monkeys were given response-independent injections of cocaine. In two monkeys, a red light preceded cocaine injections by 5 s, and a green light co-occurred with the 5-s cocaine injections. In the other two monkeys, the light presentations and cocaine injections occurred independently. Light-directed behavior occurred in all four monkeys within the first couple of trials and at high levels but decreased across sessions. The cocaine-paired stimulus maintained behavior longer and at higher levels than the uncorrelated stimuli. Furthermore, light-directed behavior was not maintained when cocaine was replaced with saline. Light-directed behavior did not occur in the absence of the lights. When these monkeys were subsequently trained to lever press for cocaine, light-directed behavior increased to levels higher than previously observed. Behavior directed towards drug-paired stimuli is robust, reliable and multiply determined; the mechanisms underlying this activity likely include Pavlovian conditioning, stimulus novelty, habituation and operant conditioning.
BACKGROUND The drug D-Cycloserine (DCS) has been used as an adjunct to increase the pace of symptom reductions during exposure therapy for anxiety disorders. This procedure has met with mixed results andmany questions remain. Aims: The findings from two investigations are reported here, highlighting important domains for furthering our understanding of DCS effects. METHOD Study 1 (n = 16) treated social anxiety among a sample of emerging adults, and in addition to self-report utilized a behavioral measure of symptom improvement to evaluate outcomes. Study 2 (n = 16), utilizing a similar design, introduced an algorithm based post-session administration strategy following sessions where anxiety reductions were evident. Both investigations were double-blind, placebo controlled, randomized trials with participants diagnosed with social anxiety. Treatment was an exposure-based CBT-protocol adopted in other investigations that tested DCS. RESULTS Findings of Study 1 yielded an interaction effect in favor of DCS for self-reported distress ratings (p=.02) and on a behavioral measure of anxiety (p=.01). Findings from Study 2 revealed a significant effect for self-reported subjective distress ratings (p=.002). CONCLUSIONS Although limitations of small sample size constrain generalization and limit power, results illustrate some beneficial effects of DCS within the context of exposure-based intervention for social anxiety, yet are discussed in the context of statistical vs. clinical significance and the DCS literature as a whole. Present findings highlight the potential usefulness of a post-session administration strategy and the behavioral measure for future efforts with an eye towards preventing bias through more nuanced and powered studies.
In several laboratory meetings, we discussed the challenges that face trainees in behavioral pharmacology. Major concerns, such as a difficult funding climate and limited academic job prospects were discussed at first. However, we decided to concentrate on ways to meet these challenges; versus focusing on negatives and listing gripes. Within this more constructive framework, we identified the importance of broadening training to aligned areas to enhance the capacity of behavioral pharmacologists to collaborate in multidisciplinary teams. With increased breadth of training comes the concern for a balance that does not cheat trainees out of the depth of training also needed for success. We believe that behavioral pharmacologists trained in this manner will be ideally positioned to be leaders of these translational research teams. Related to the breadth and depth of training is the recent concerns over replicability and reproducibility of published research. Behavioral pharmacologists, with the rigors of training in behavioral analysis and experimental design, can be at the forefront of this conversation. This will be especially true if current training is reinforced with additional experience in the use of cutting-edge statistical tools that address the complex experimental designs and large data sets that emerge from modern multidisciplinary collaborations. Finally, communicating the import and potential societal impact of our research to legislators, other scientists, educators, school children, neighbors, and acquaintances is needed to ensure that our field thrives. In closing, the process of explicitly discussing the challenges and potential solutions with current trainees will enhance their mentoring and training.
A defining feature of radical behaviorism is the explicit inclusion of private events as material phenomena within a science of behavior. Surprisingly, however, despite much theorizing, there is a notable paucity within behavior analysis of controlled experimentation and analysis of private events, especially in nonhuman animals. One technique that is amenable to the study of private events is drug discrimination. For over 40 years, drug discrimination procedures have been an incredibly effective tool providing a wealth of in vivo pharmacological information about drugs including receptor selectivity, potency, and efficacy. In addition, this procedure has provided important preclinical indications of abuse liability. However, despite its prowess as a pharmacologic tool, or perhaps because of it, empirical investigation of its parameters, procedural elements, and variants is not currently an active research domain. This review highlights the drug discrimination procedure as a powerful means to systematically investigate private events by using drugs as interoceptive stimuli. In addition to the opportunity to study privacy, empirical evaluation of the drug discrimination procedure will likely inform and improve the standard practice for future endeavors in basic and clinical pharmacology.
Behavior analytic approaches and techniques have much to offer to the study of remembering. There is currently great interest in the development of animal models of human memory processes in order to enhance understanding of the neurobiology of memory and treatment of dementia and related disorders. Because rodent models are so important in contemporary neuroscience and genetics, development of procedures to study various forms of memory in rodents is a point of emphasis. The sense of smell plays an important role in rodent behavior and use of olfactory stimuli has permitted demonstrations of complex forms of stimulus control that have also served as baselines for studying drug effects on remembering. This article focuses on the effects of drugs on behavior maintained by two related procedures: delayed matching-to-sample with odors and the Odor Span Task. These types of procedures provide an opportunity to explore drug effects on behavior maintained by multiple stimuli and across a range of delay intervals with potential to advance analysis of the behavioral pharmacology of remembering.
