A delayed intervention start randomized controlled trial of high- and low-tech communication training approaches for school-age autistic children with co-occurring intellectual disability.

The researchers designed a delayed intervention start randomized controlled trial to compare improvements in functional communication following augmentative and alternative communication (AAC) interventions. The study compared outcomes from function-based applied behavior analytic (ABA) and eclectic non-ABA forms of classroom-based communication strategies (waitlist control) as well as from high- and low-tech forms of AAC. High-tech AAC consisted of tablet-based communication, and low-tech AAC used an exchange of picture cards. The community-based sample consisted of 29 autistic children with a co-occurring intellectual disability. Participants were randomized to groups (AAC, waitlist control), and each group received approximately 3 months of communication intervention. Multilevel modeling of learner outcomes indicated that the function-based approach produced greater improvements than the eclectic alternative, but significant differences were not observed between outcomes of high- and low-tech forms of function-based AAC. These results are consistent with earlier investigations and provide supporting evidence that both high- and low-tech forms of function-based intervention are effective for use with autistic children with accompanying intellectual disability. Additional discussion is provided regarding further research into how technology is applied and incorporated into behavior analytic programming.

A Comprehensive Systematic Review of Procedures and Analyses Used in Basic and Preclinical Studies of Resurgence, 1970-2020.

Resurgence is the return of a previously reinforced response as conditions worsen for an alternative response, such as the introduction of extinction, reductions in reinforcement, or punishment. As a procedure, resurgence has been used to model behavioral treatments and understand behavioral processes contributing both to relapse of problem behavior and flexibility during problem-solving. Identifying existing procedural and analytic methods arranged in basic/preclinical research could be used by basic and preclinical researchers to develop novel approaches to study resurgence, whereas translational and clinical researchers could identify potential approaches to combating relapse during behavioral interventions. Despite the study of resurgence for over half a century, there have been no systematic reviews of the basic/preclinical research on resurgence. To characterize the procedural and analytic methods used in basic/preclinical research on resurgence, we performed a systematic review consistent with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). We identified 120 articles consisting of 200 experiments that presented novel empirical research, examined operant behavior, and included standard elements of a resurgence procedure. We reported prevalence and trends in over 60 categories, including participant characteristics (e.g., species, sample size, disability), designs (e.g., single subject, group), procedural characteristics (e.g., responses, reinforcer types, control conditions), criteria defining resurgence (e.g., single test, multiple tests, relative to control), and analytic strategies (e.g., inferential statistics, quantitative analysis, visual inspection). We make some recommendations for future basic, preclinical, and clinical research based on our findings of this expanding literature. Supplementary Information: The online version contains supplementary material available at 10.1007/s40614-022-00361-y.

Interpretation(s) of essential value in operant demand.

The operant demand framework has achieved high levels of adoption as an approach to quantify how various ecological factors influence choice. A central goal of the framework proposed by Hursh and Silberburg (2008) was to isolate the "essential value" of reinforcers-namely, their effects on behavior given various contextual factors. The effect of reinforcers on behavior is a phenomenon that is expected to vary as a function of reinforcer magnitude/dosage (i.e., units of reinforcement), price (i.e., schedule requirements), the intensity of demand (i.e., consumption in free operant conditions), the availability of reinforcers (i.e., supply, presence of alternatives), and the individual's current and historical context. This technical report provides a historical summary of the concept, describes the quantitative basis for essential value in the framework of Hursh and Silberburg (2008), reviews prior attempts to extract a generalizable index of essential value, and presents a newer formulation using exact solution that provides a more succinct and durable index. Proofs and solutions are provided to clarify the bases for novel and existing representations of essential value. Recommendations are provided to improve the precision and accuracy of behavioral economic metrics as well as support consensus regarding their interpretation in the operant demand framework.

Exact solutions for area-based delay discounting analyses.

Novel methods are provided for calculating a model-based area under curve (MB-AUC) using exact solution. These model-specific calculations produce an AUC ratio that does not need numerical approximation nor access to the source discounting data to perform. This approach supports a calculation of MB-AUC that is useful in summarizing current and retrospective discounting analyses using fitted models (e.g., k and s) and corresponding study parameters (i.e., range of delays). Solutions were compared against numerical methods for various discounting models and results indicated that each approach provided identical results. This newer, simpler, and more efficient method is reviewed and demonstrated to show how comparisons can be drawn between the fitted discounting models and empirical methods, such as the empirical point-based area under curve. Reanalyses of published findings revealed that reconstituting published findings using a common scale (i.e., area) yielded similar AUC ratios, despite varying approaches, suggesting new avenues for research synthesis (e.g., reducing sources of measurement error). The MB-AUC measure is discussed as one means of addressing the challenges encountered when research synthesis includes metrics on varying scales and differing domains. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Vehicle Firearm Storage: Prevalence and Correlates in a Sample of Male Firearm Owners.

Previous research has linked unsafe firearm storage practices and other ownership-related characteristics to key factors that facilitate the transition from suicidal thoughts to suicidal behaviors (i.e., acquired capability for suicide). This research has not investigated the extent to which firearm owners store firearms in their vehicles, a factor that increases ready access to the most lethal means of suicide. OBJECTIVE: This cross-sectional study investigated the prevalence of occasional and permanent vehicle firearm storage as well as demographic and psychological correlates of this practice in a sample of N = 408 adult male firearm owners oversampled for historical thoughts of suicide. METHODS: Participants completed an online survey for monetary compensation. RESULTS: Over 40% of participants indicated at least occasionally storing firearms in their vehicles with over 15% indicating storage of firearms unlocked and loaded. Elevated scores on measures of negative affect, worry, intolerance of uncertainty, and historical suicidal thoughts and behaviors were seen in those who endorsed vehicle firearm storage compared to those who did not. CONCLUSION: Individual and public health firearm safety strategies would benefit from an explicit focus on the transition of firearms to and from one's vehicle.HIGHLIGHTSOver 40% of male firearm owners at least occasionally store a firearm in a vehicle.15% of those who store a firearm in a vehicle do so unlocked and loaded.Suicidal thought severity was related to storing a firearm in a vehicle.Historical suicidal behaviors were related to storing a firearm in a vehicle.

Tobacco-free policy reduces combustible tobacco byproduct on a large university campus.

Policy drives community-level behavior change, so behavior analysts should aid empirical policy development. University campus regulation is a useful proxy for broader policy initiatives and thus is a convenient inroad for behavior analyst involvement. This paper examines behavior analytic contributions to the planning and evaluation of a university tobacco-free initiative. We provided resources and guidance throughout early planning, and we then evaluated faculty and student compliance via byproduct (e.g., cigarette butts) counts taken at four high-traffic sites (as flagged by preliminary surveying of campus faculty, staff, and students). Visual analysis and supplementary statistical testing support notions of (a) a meaningful and sustained reduction of combustible tobacco byproducts in all locations, and (b) a demonstrative example of behavior analytic involvement with university policy planning and evaluation.

Beyond Systematic and Unsystematic Responding: Latent Class Mixture Models to Characterize Response Patterns in Discounting Research.

Operant behavioral economic methods are increasingly used in basic research on the efficacy of reinforcers as well as in large-scale applied research (e.g., evaluation of empirical public policy). Various methods and strategies have been put forward to assist discounting researchers in conducting large-scale research and detecting irregular response patterns. Although rule-based approaches are based on well-established behavioral patterns, these methods for screening discounting data make assumptions about decision-making patterns that may not hold in all cases and across different types of choices. Without methods well-suited to the observed data, valid data could be omitted or invalid data could be included in study analyses, which subsequently affects study power, the precision of estimates, and the generality of effects. This review and demonstration explore existing approaches for characterizing discounting and presents a novel, data-driven approach based on Latent Class Analysis. This approach (Latent Class Mixed Modeling) characterizes longitudinal patterns of choice into classes, the goal of which is to classify groups of responders that differ characteristically from the overall sample of discounters. In the absence of responders whose behavior is characteristically distinct from the greater sample, modern approaches such as mixed-effects models are robust to less-systematic data series. This approach is discussed, demonstrated with a publicly available dataset, and reviewed as a potential supplement to existing methods for inspecting and screening discounting data.

Applications of operant demand to treatment selection III: Consumer behavior analysis of treatment choice.

Behavior analysts and psychologists advocate for the use of therapies and strategies based on credible, scientific evidence. Researchers and clinicians regularly advocate for Evidence-based Practices (EBPs) over questionable "alternatives" because caregivers seldom choose interventions based on scientific evidence alone. This study applied methods and concepts from Consumer Behavior Analysis to conduct a reinforcer-based evaluation of the consequences that influence treatment choices. Hypothetical Treatment Purchase Tasks (HTPTs) were designed to evaluate how utilitarian (UR; i.e., the efficacy of treatment) and informational sources of reinforcement (IR; i.e., community support for treatment) jointly influence treatment-related choices. A total of 104 caregivers were recruited using the Amazon Mechanical Turk (MTurk) framework to complete two HTPTs. Results indicated that caregivers overall favored treatments with greater IR over those with greater UR, suggesting that indirect contingencies for treatment choices exerted greater overall influence than the direct contingencies of treatment choices (i.e., efficacy). This finding extends the literature on treatment choice by providing a reinforcer-based perspective on why 'fad', questionable, and pseudoscientific practices can achieve and maintain high levels of adoption by caregivers. This work concludes with a discussion of Consumer Behavior Analysis and how reinforcer-based interpretations of choice can be used to improve efforts to support and advocate for evidence-based child behavior treatments.

Assessing human performance during contingency changes and extinction tests in reversal-learning tasks.

Serial reversal-learning procedures are simple preparations that allow for a better understanding of how animals learn about environmental changes, including flexibly shifting responding to adapt to changing reinforcement contingencies. The present study examined serial reversal learning with humans by arranging both midsession and variable contingency reversals across two experiments. We also examined the effects of extinction by adding nonreinforced trials at the end of later sessions and provided the first evaluation of effects of win-stay/lose-shift versus counting strategies on accuracy and response latency of humans' reversal-learning performance. In each experiment, responding tracked contingency reversals, primarily with participants using either win-stay/lose-shift or counting strategies. Introducing variable reversal points in the second experiment resulted in near-exclusive win-stay/lose-shift responding among participants and eliminated counting of trials. Each experiment also revealed an immediate shift from S2 to S1 after experiencing extinction during the initial test trial, indicating resurgence of the initial response through a win-stay/lose-shift response pattern. Therefore, the present study replicates and extends prior findings of a win-stay/lose shift response pattern in situations of greater uncertainty. These findings suggest that differences in environmental certainty induce qualitatively different decision-making strategies.

Applications of operant demand to treatment selection I: Characterizing demand for evidence-based practices.

Various treatment approaches have been determined efficacious for improving child behavior outcomes. Despite a variety of evidence-based options, consumers often disregard empirically supported treatments to pursue alternatives that lack empirical support, such as 'fad' therapies. The choice to pursue therapies lacking empirical support has been considered a 'gamble' on therapeutic outcomes and this form of risky choice has historically been explained using various cognitive heuristics and biases. This report translates quantitative analyses from the Operant Demand Framework to characterize how caregivers of children with behavioral issues consume treatment services. The Operant Demand Framework is presented, its utility for characterizing patterns of treatment consumption is discussed, and a preliminary application of cross-price analyses of demand is performed to illustrate how various factors jointly influence treatment-related choice. Results indicated that caregivers endorsing interest in receiving behavioral parent training regularly pursued pseudoscientific alternatives as a functional substitute for an established therapy, despite explicit language stating a lack of evidence. These findings question the presumption of rationality in models of treatment choice and degree to which scientific evidence influences the consumption of therapies. This report concludes with a discussion of Consumer Behavior Analysis and how quantitative analyses of behavior can be used to better understand factors that enhance or detract from the dissemination of evidence-based practices.

Applications of operant demand to treatment selection II: Covariance of evidence strength and treatment consumption.

Evidence-based practices (EBPs) are a critical component of effective and ethical service delivery. Clinicians in the behavioral sciences regularly advocate for the use of therapies and interventions based on the strength and breadth of scientific evidence. However, caregiver choices related to specific behavior therapies are seldom based solely on the degree (or the presence) of scientific evidence. This study applied methods from the Operant Demand Framework to characterize caregiver choices when concurrently available behavior therapies varied in terms of unit price and levels of evidence. Four Hypothetical Treatment Purchase Tasks were designed to evaluate how relative differences in scientific evidence between behavior therapies influenced the demand for, and substitutability of, EBPs. Results from 106 caregivers recruited from the Amazon Mechanical Turk platform indicated that low-, moderate-, and high-evidence treatment choices all functioned as substitutes for a high-evidence (i.e., well-established) behavior therapy. A main effect was observed for the level of evidence, whereby the strength of evidence appeared to moderate the degree to which respective treatments functioned as substitutes. These results extend the literature on the factors associated with treatment choices, and specifically, highlight how differences in the degree of scientific evidence influence choice when deciding between behavior therapies. These results are discussed in the context of more effectively advocating for the use of EBPs with mainstream and lay audiences.

Attention-Deficit/Hyperactivity Disorder Symptoms, Gastrointestinal Symptoms, Sleep Problems, Challenging Behavior, Adaptive Behavior, and Quality of Life in Children and Adolescents with Autism Spectrum Disorder.

This study investigated the relationship between sleep, gastrointestinal symptoms, challenging behavior, adaptive behavior, and quality of life between children and adolescents with autism spectrum disorder (ASD), with and without attention-deficit/hyperactivity disorder (AD/HD) symptoms. Parents of 118 children and adolescents with ASD completed the Conners Early Childhood Rating Scale-Parent Short Form or the Conners 3-Parent Short Form, Children's Sleep Habits Questionnaire, Gastrointestinal Symptom Inventory, Behavior Problems Inventory-Short Form, Pediatric Quality of Life Inventory and the Vineland Adaptive Behavior Scales, Second Edition. The ASD group and the ASD with AD/HD groups differed significantly in sleep problems, gastrointestinal symptoms, and quality of life. Regressions indicated that AD/HD symptoms accounted for a small proportion of the variance for the differences in sleep problems and quality of life. AD/HD symptoms contribute to the complex needs of individuals with ASD. Research is necessary to investigate how these symptoms exacerbate comorbidities.

Hidden equivalence in the operant demand framework: A review and evaluation of multiple methods for evaluating nonconsumption.

Operant translations of behavioral economic concepts and principles have enhanced the ability of researchers to characterize the effects of reinforcers on behavior. Operant behavioral economic models of choice (i.e., Operant Demand) have been particularly useful in evaluating how the consumption of reinforcers is affected by various ecological factors (e.g., price, limited resources). Prevailing perspectives in the Operant Demand Framework are derived from the framework presented in Hursh and Silberberg (2008). Few dispute the utility of this framework and model, though debate continues regarding how to address the challenges associated with logarithmic scaling. At present, there are competing views regarding the handling of nonconsumption (i.e., 0 consumption values) and under which situations that alternative restatements of this framework are recommended. The purpose of this report was to review the shared mathematical bases for the Hursh and Silberberg and Koffarnus et al. (2015) models and how each can accommodate nonconsumption values. Simulations derived from those featured in Koffarnus et al. were used to conduct tests of equivalence between modeling strategies while controlling for interpretations of residual error as well as the absolute lower limit. Simulations and proofs were provided to illustrate how neither the Hursh and Silberberg nor Koffarnus et al. models can characterize demand at 0 and how both ultimately arrive at the same upper and lower limits. These findings are discussed, and recommendations are provided to build consensus related to zero consumption values in the Operant Demand Framework.

Applying Mixed-Effects Modeling to Behavioral Economic Demand: An Introduction.

Behavioral economic demand methodology is increasingly being used in various fields such as substance use and consumer behavior analysis. Traditional analytical techniques to fitting demand data have proven useful yet some of these approaches require preprocessing of data, ignore dependence in the data, and present statistical limitations. We term these approaches "fit to group" and "two stage" with the former interested in group or population level estimates and the latter interested in individual subject estimates. As an extension to these regression techniques, mixed-effect (or multilevel) modeling can serve as an improvement over these traditional methods. Notable benefits include providing simultaneous group (i.e., population) level estimates (with more accurate standard errors) and individual level predictions while accommodating the inclusion of "nonsystematic" response sets and covariates. These models can also accommodate complex experimental designs including repeated measures. The goal of this article is to introduce and provide a high-level overview of mixed-effects modeling techniques applied to behavioral economic demand data. We compare and contrast results from traditional techniques to that of the mixed-effects models across two datasets differing in species and experimental design. We discuss the relative benefits and drawbacks of these approaches and provide access to statistical code and data to support the analytical replicability of the comparisons. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40614-021-00299-7.

The Impact of Brief Mindfulness Training on Postevent Processing Among Individuals With Clinically Elevated Social Anxiety.

Postevent processing (PEP), the engagement in detailed and repetitive self-focused review of one's performance in social situations, is theorized to maintain pathological social anxiety. However, little is known about interventions that may impact this maintenance factor. The current study examined the impact of brief mindfulness training (BMT) on PEP among socially anxious individuals. There were 77 participants (75.32% female, 63.64% non-Hispanic/Latinx White) with clinically elevated social anxiety who attended one appointment in the laboratory during which they were randomized to receive a brief mindfulness-based training (n = 37) or no training (i.e., thinking as usual control group; n = 40). After the training period, participants underwent a 3-minute social anxiety induction task, after which they were instructed to apply their thinking strategy. Participants were then asked to complete 2 weeks of daily online surveys that included a PEP induction task, instructions to use their thinking strategy following PEP induction, and a measure of state PEP. Individuals in the BMT condition reported a significant reduction in state anxiety posttraining compared to individuals in the control condition. Conditions did not differ on state PEP after the social anxiety induction task. However, compared to those in the control condition, participants in the BMT condition reported significantly greater decreases in state PEP over the 14-day follow-up period. Thus, this brief mindfulness-based strategy may be useful for individuals with clinically elevated social anxiety who engage in PEP, a cognitive vulnerability factor implicated in the maintenance of social anxiety.

Extending stimulus preference assessment with the operant demand framework.

This study extended earlier research on stimulus preference (SP) and reinforcer efficacy (RE) using the behavioral economic concept of elasticity. The elasticity of demand for different items can be used to simultaneously compare RE across stimuli and schedules of reinforcement. Highly preferred stimuli were identified via SP assessments and evaluated using progressive-ratio reinforcer assessments. Reinforcers were then evaluated across the ranges of elasticity in individual reinforcer evaluations. Results indicated that schedules associated with the ranges of elasticity (e.g., inelastic vs. elastic) corresponded with rates of the targeted behavior (i.e., work) and these trends were consistent with behavioral economic predictions. These findings encourage further inquiry and replication of operant demand methods to identify potential boundary conditions for stimuli identified using SP assessments. Discussion is provided regarding the efficiency of reinforcer assessment and the utility of schedules found to exist in the elastic and inelastic ranges.

A zero-bounded model of operant demand.

Contemporary approaches for evaluating the demand for reinforcers use either the Exponential or the Exponentiated model of operant demand, both derived from the framework of Hursh and Silberberg (2008). This report summarizes the strengths and complications of this framework and proposes a novel implementation. This novel implementation incorporates earlier strengths and resolves existing shortcomings that are due to the use of a logarithmic scale for consumption. The Inverse Hyperbolic Sine (IHS) transformation is reviewed and evaluated as a replacement for the logarithmic scale in models of operant demand. Modeling consumption in the "log10 -like" IHS scale reflects relative changes in consumption (as with a log scale) and accommodates a true zero bound (i.e., zero consumption values). The presence of a zero bound obviates the need for a separate span parameter (i.e., k) and the span of the model may be more simply defined by maximum demand at zero price (i.e., Q0 ). Further, this reformulated model serves to decouple the exponential rate constant (i.e., α) from variations in span, thus normalizing the rate constant to the span of consumption in IHS units and permitting comparisons when spans vary. This model, called the Zero-bounded Exponential (ZBE), is evaluated using simulated and real-world data. The direct reinstatement ZBE model showed strong correspondence with empirical indicators of demand and with a normalization of α (ZBEn) across empirical data that varied in reinforcing efficacy (dose, time to onset of peak effects). Future directions in demand curve analysis are discussed with recommendations for additional replication and exploration of scales beyond the logarithm when accommodating zero consumption data.

Contemporary methods in delayed discounting: Applications for suicidology with simulation.

OBJECTIVE: To present an approach for integrating recently developed methods in behavioral economics into suicidology research. At present, existing applications of delay discounting in suicidology have focused predominantly on hypothetical choices related to monetary value as a proxy to "risky" choices linked to unsafe or suicidal behavior. In this report, we outline a more targeted approach that directly indexes choices related to treatment in suicide prevention initiatives and incorporates the strengths afforded by multi-level modeling. This more targeted approach precludes the need for multi-step comparisons (improving power), avoids compressing choice variability across delays into individual values (improving precision), and better accommodates decision-making at the upper and lower extremes (improving reliability). METHOD: We present this analytical approach within the context of a Hypothetical Firearm Decision-making Task with simulated participants. A simulated study is provided to illustrate how this approach can be used to evaluate how individuals make temporally delayed decisions related to treatment for suicidal behavior (i.e., temporarily limiting their access to firearms while undergoing treatment). RESULTS AND CONCLUSIONS: The results of this simulated study are provided to illustrate how more advanced behavioral decision-making models can be used to supplement existing research methods in suicidology.

Comorbid Feeding and Gastrointestinal Symptoms, Challenging Behavior, Sensory Issues, Adaptive Functioning and Quality of Life in Children and Adolescents with Autism Spectrum Disorder.

AIM: Children and adolescents diagnosed with an autism spectrum disorder (ASD) often demonstrate difficulties with feeding. The goal of the current study was to investigate co-occurring issues that often accompany feeding problems in 120 children and adolescents with ASD. Method: This study investigated the relationship between feeding problems and gastrointestinal symptoms, challenging behavior and sensory issues, quality of life, adaptive functioning and use of complementary and alternative medicine (CAM). Results: High rates of feeding problems, gastrointestinal symptoms, challenging behavior and sensory issues were endorsed by caregivers. Considerable differences were observed in the levels of gastrointestinal symptoms, challenging behavior, sensory issues, quality of life and CAM practices.Conclusion: The results of this study extend the present literature by highlighting comorbid conditions related to feeding problems and how feeding problems impact quality of life and adaptive behavior.

Effects of punishing target response during extinction on resurgence and renewal in zebrafish (Danio rerio).

We examined the effects of the presence and absence of punishment on the resurgence and renewal of extinguished operant behavior with zebrafish. With resurgence, food deliveries reinforced target responding in Phase 1 was exposed to shock punishment plus extinction (PUN + EXT) versus extinction alone (EXT) while introducing alternative reinforcement in Phase 2. All contingencies were discontinued in Phase 3. With renewal, target reinforcement during Phase 1 occurred in Context A and then during Phase 2 was exposed to either PUN + EXT or EXT in Context B. All contingencies were discontinued in Context A during Phase 3. During Phase 2 for both resurgence and renewal, decreases in target responding were more rapid with PUN + EXT than EXT. During testing in Phase 3, resurgence was less following PUN + EXT than EXT. In contrast, renewal was greater following PUN + EXT than EXT but differences in response rates at the end of Phase 2 complicated the interpretation. We discuss these differences between resurgence and renewal as due to differences in learning about alternative reinforcement (resurgence) versus more general contextual changes (renewal).