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.

The ideal free distribution accounts for free-operant domesticated dog foraging.

The Ideal Free Distribution suggests the relative allocation of the number of organisms foraging across two or more resource sites will match the relative density of reinforcement patches in those resource sites. This initial project sought to develop a new method of foraging research for dogs by using a commercially available treat dispenser in basic behavioral research. The purpose of this study was to determine whether the Ideal Free Distribution equation could describe the behavior of the domesticated dog in a daycare setting. Toward this end, we recorded dog behavior in a free operant arrangement on various variable-time schedules of reinforcement. Results indicated matching occurred in the dog sample, which corresponded with the Ideal Free Distribution equation, with a slight visual appearance toward undermatching, consistent with extant literature on group foraging. Furthermore, there was a lack of bias in the current sample of foraging dogs. Implications and future directions involve extending foraging research in the domesticated dog. That the study occurred in a local dog daycare specifically highlights how practical concerns in animal welfare and/or training can be addressed in rigorous ways with strong conceptual foundations in the experimental analysis of behavior.

Behavioral economic methods to inform infectious disease response: Prevention, testing, and vaccination in the COVID-19 pandemic.

The role of human behavior to thwart transmission of infectious diseases like COVID-19 is evident. Psychological and behavioral science are key areas to understand decision-making processes underlying engagement in preventive health behaviors. Here we adapt well validated methods from behavioral economic discounting and demand frameworks to evaluate variables (e.g., delay, cost, probability) known to impact health behavior engagement. We examine the contribution of these mechanisms within a broader response class of behaviors reflecting adherence to public health recommendations made during the COVID-19 pandemic. Four crowdsourced samples (total N = 1,366) completed individual experiments probing a response class including social (physical) distancing, facemask wearing, COVID-19 testing, and COVID-19 vaccination. We also measure the extent to which choice architecture manipulations (e.g., framing, opt-in/opt-out) may promote (or discourage) behavior engagement. We find that people are more likely to socially distance when specified activities are framed as high risk, that facemask use during social interaction decreases systematically with greater social relationship, that describing delay until testing (rather than delay until results) increases testing likelihood, and that framing vaccine safety in a positive valence improves vaccine acceptance. These findings collectively emphasize the flexibility of methods from diverse areas of behavioral science for informing public health crisis management.

Integrating Operant and Cognitive Behavioral Economics to Inform Infectious Disease Response: Prevention, Testing, and Vaccination in the COVID-19 Pandemic.

The role of human behavior to thwart transmission of infectious diseases like COVID-19 is evident. Yet, many areas of psychological and behavioral science are limited in the ability to mobilize to address exponential spread or provide easily translatable findings for policymakers. Here we describe how integrating methods from operant and cognitive approaches to behavioral economics can provide robust policy relevant data. Adapting well validated methods from behavioral economic discounting and demand frameworks, we evaluate in four crowdsourced samples (total N = 1,366) behavioral mechanisms underlying engagement in preventive health behaviors. We find that people are more likely to social distance when specified activities are framed as high risk, that describing delay until testing (rather than delay until results) increases testing likelihood, and that framing vaccine safety in a positive valence improves vaccine acceptance. These findings collectively emphasize the flexibility of methods from diverse areas of behavioral science for informing public health crisis management.

An evaluation of fixed and randomized price sequence on the alcohol purchase task.

Factors influencing drug consumption can be effectively evaluated in the context of behavioral economic demand. Specifically, hypothetical purchase tasks (HPTs) allow for estimated drug consumption at a range of prices in which drug administration is not ethically or feasibly possible. With the marked increase of HPTs in behavioral research, understanding methodological influences on responding is paramount. One such methodological consideration is the price sequence, which can be presented in a fixed, ascending order or a randomized sequence. This study compared fixed and fully randomized sequence order with college student drinkers using a within-subjects design. Self-reported consumption revealed that despite some small differences between the fixed and random sequences, consumption preferences were highly similar, regardless of presentation order. These results suggest participants are likely not anchoring their responses to the prior price on a fixed-order sequence. We conclude with a discussion on how these findings provide implications for HPTs and future research. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Behavioral economic measurement of cigarette demand: A descriptive review of published approaches to the cigarette purchase task.

The cigarette purchase task (CPT) is a behavioral economic method for assessing demand for cigarettes. Growing interest in behavioral correlates of tobacco use in clinical and general populations as well as empirical efforts to inform policy has seen an increase in published articles employing the CPT. Accordingly, an examination of the published methods and procedures for obtaining these behavioral economic metrics is timely. The purpose of this investigation was to provide a review of published approaches to using the CPT. We searched specific Boolean operators (["behavioral economic" AND "purchase task"] OR ["demand" AND "cigarette"]) and identified 49 empirical articles published through the year 2018 that reported administering a CPT. Articles were coded for participant characteristics (e.g., sample size, population type, age), CPT task structure (e.g., price framing, number and sequence of prices; vignettes, contextual factors), and data analytic approach (e.g., method of generating indices of cigarette demand). Results of this review indicate no standard approach to administering the CPT and underscore the need for replicability of these behavioral economic measures for the purpose of guiding clinical and policy decisions. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Left-digit pricing effects in a high-resolution examination of hypothetical operant demand for alcohol.

Behavioral economic measures have demonstrated marked success in the evaluation of consumer choice. Field-standard operant demand curve analyses provide a valuable model of resource allocation via responses to maintain "free-rate" commodity use or consumption. This demand analysis thereby provides a behavioral complement to consumer science techniques. Despite apparent congruence of operant behavioral economics and consumer science, the left-digit effect represents one area of research predominantly untouched by behavioral economic investigation. Previous efforts have applied the hypothetical purchase task to map the effect of a changing left-digit on subsequent purchase decisions. The current study extends investigation of the phenomenon to responding on the validated Alcohol Purchase Task. Introduction of a high-density price structure revealed evidence of digit sensitivity, wherein demand elasticity was disproportionately affected at and around whole-dollar changes. That responses were influenced by small shifts in pricing implies a possibility for policy-level modulation of alcohol ingestion without need to increase commodity price beyond unit elasticity. Capture of digit preference in a self-report framework speaks to the sensitivity of purchase task methodology to detect small, aberrant changes in consumer product perception. Behavioral economic researchers should consider this extent of sensitivity when interpreting results of hypothetical purchase task investigations.