Behavior analysis (Washington, D.C.)最新文献

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.

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.

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.

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.

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.

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.

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.