A systematic review and meta-analysis of test-retest reliability and stability of delay and probability discounting.

In this meta-analysis, we describe a benchmark value of delay and probability discounting reliability and stability that might be used to (a) evaluate the meaningfulness of clinically achieved changes in discounting and (b) support the role of discounting as a valid and enduring measure of intertemporal choice. We examined test-retest reliability, stability effect sizes (dz; Cohen, 1992), and relevant moderators across 30 publications comprising 39 independent samples and 262 measures of discounting, identified via a systematic review of PsychInfo, PubMed, and Google Scholar databases. We calculated omnibus effect-size estimates and evaluated the role of proposed moderators using a robust variance estimation meta-regression method. The meta-regression output reflected modest test-retest reliability, r = .670, p < .001, 95% CI [.618, .716]. Discounting was most reliable when measured in the context of temporal constraints, in adult respondents, when using money as a medium, and when reassessed within 1 month. Testing also suggested acceptable stability via nonsignificant and small changes in effect magnitude over time, dz = 0.048, p = .31, 95% CI [-0.051, 0.146]. Clinicians and researchers seeking to measure discounting can consider the contexts when reliability is maximized for specific cases.

Effect of nicotine expectancy and nicotine dose reduction on cigarette demand, withdrawal alleviation, and puff topography.

BACKGROUND: Current FDA plans include proposed nicotine reduction mandates by the end of 2023. Most research on reduced nicotine cigarettes has been dose-blinded, while a mandate would be known to the public. Few laboratory studies have examined specifically how low nicotine content labeling impacts behavioral response. The purpose of this within-subject, balanced-placebo, human laboratory study was to evaluate the main and interactive effects of nicotine dose expectancy and dose reduction on cigarette reinforcement, withdrawal alleviation, and puff topography. METHODS: Participants who smoke daily (N=21; 9 female) completed one practice and four experimental sessions in which expectancy (labeled "average" versus "very low" nicotine) and nicotine dose (0.80mg versus 0.03mg yield) were manipulated. Participants in acute withdrawal sampled experimental cigarettes followed by withdrawal alleviation and puff topography measures. Cigarette demand was measured using an incentivized purchase task. Analyses evaluated main and interactive effects of expectancy and nicotine dose. RESULTS: Nicotine dose manipulation produced expected physiological effects (e.g., heart rate increases) and both reduced nicotine dose and expectation manipulations reduced perceived nicotine content. Expectation of reduced nicotine alone or in combination with reduced nicotine dose did not alter demand, withdrawal alleviation, or topography. Effective withdrawal alleviation was observed in all conditions. CONCLUSIONS: These data inform nicotine regulation policy by suggesting limited compensatory harms caused by reduced nicotine expectations. The minimal acute effects of reduced nicotine expectancy or exposure on demand suggests that reduced nicotine standards are likely to generate their greatest public health benefit through the slowing of newly initiating cigarette smoking.

Using behavioral economics to optimize safer undergraduate late-night transportation.

Many universities sponsor student-oriented transit services that could reduce alcohol-induced risks but only if services adequately anticipate and adapt to student needs. Human choice data offer an optimal foundation for planning and executing late-night transit services. In this simulated choice experiment, respondents opted to either (a) wait an escalating delay for a free university-sponsored "safe" option, (b) pay an escalating fee for an on-demand rideshare service, or (c) pick a free, immediately available "unsafe" option (e.g., ride with an alcohol-impaired driver). Behavioral-economic nonlinear models of averaged-choice data describe preference across arrangements. Best-fit metrics indicate adequate sensitivity to contextual factors (i.e., wait time, preceding late-night activity). At short delays, students preferred the free transit option. As delays extend beyond 30 min, most students preferred competing alternatives. These data depict a policy-relevant delay threshold to better safeguard undergraduate student safety.

Association of electronic nicotine delivery system (ENDS) and cigarette solo and dual use with alcohol-related consequences among US adults.

INTRODUCTION: Research reports a robust association between combustible cigarette use and alcohol use frequency and severity. Extension to the emerging landscape of electronic nicotine delivery system (ENDS) use is needed to inform prevention and treatment strategies. METHOD: We evaluated data from the 2020 National Survey on Drug Use and Health (NSDUH). Respondents included adults reporting cigarettes or ENDS solo or dual use. Multivariable logistic regression models evaluated associations with alcohol use disorder (AUD) and alcohol-related risky behavior (i.e., heavy drinking, binge alcohol use, and driving after drinking) compared to never use controls and respondents with a history, but not current, use of cigarettes or ENDS. RESULTS: Multivariable models showed greater odds of AUD for respondents with dual ENDS and cigarette use (AOR = 10.2), ENDS use (AOR = 6.27), cigarette use (AOR = 4.45), and a history, but not ongoing, use (AOR = 2.60) relative to respondents with no use history. Similarly, respondents with dual use (AOR = 3.94), ENDS use (AOR = 2.41), and cigarette use (AOR = 1.71) had greater odds of AUD relative to those with a history of, but not ongoing, use. The association between dual use and AUD was greater for adults ages 21-25 (AOR = 16.2) than for adults over 25 (AOR = 7.82). Cigarette and ENDS solo and dual-use were similarly associated with greater odds of alcohol-related risky behavior relative to control groups. CONCLUSION: These findings demonstrate that nicotine use and dual use may be associated with indicators of problematic drinking. These results offer insight into emerging licit polysubstance profiles and call for mechanistic research to inform prevention and intervention efforts.

Temporal reliability and stability of delay discounting: A 2-year repeated assessments study of the Monetary Choice Questionnaire.

The Monetary Choice Questionnaire (MCQ) is one of the most commonly used measures to assess delay discounting of reward. Reliable measurement by the MCQ is necessary for use in experimental settings or prognostic validity within clinical contexts. The present analysis expands prior work to evaluate temporal reliability and stability over an extended period, including repeated measurements, a larger and more broadly representative sample, and demonstrations of covariation with clinically significant health behaviors (e.g., cigarette use, COVID-19 vaccination, body mass index). Participants (N = 680; 55.6% female) were recruited through crowdsourcing and completed the MCQ approximately quarterly over 2 years. Measures of reliability, stability, and correlations with clinical constructs were determined for each timepoint and pairwise comparison. Test-retest reliabilities were high across all pairwise comparisons (all rxx > .75; range = .78-.86; mean = .83). Stability was also high with within-subject effect size differences all within a less-than-small effect size range (range dz = -0.09 to 0.19; mean = 0.04). Positive associations between smoking status and delay discounting rates were observed consistent with prior clinical studies. These findings of test durability support the use of MCQ administration for repeated measurement of delay-constrained choice as a stable respondent characteristic and illustrate its association with important health behaviors over extended time periods. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

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.

Measuring the Dissemination Impact of Culturo-Behavioral Science.

Culturo-behavior science addresses many of the world's most significant problems and therefore has potential to create world-changing outcomes. Before systems level changes that improve the world can be implemented, however, it is first necessary for the public to know about and take interest in the accomplishments of culturo-behavior science. Measurable evidence that this kind of influence is being achieved is a component of "dissemination impact," an important but often overlooked form of accountability on sciences that target real-world problems. We describe a method for quantifying some aspects of dissemination impact and present data on how much of this impact has been earned by articles published in Behavior and Social Issues. The results provide considerable food for thought about how culturo-behavior science can proceed toward making the strategic pursuit of dissemination impact a component of its evidence-based practices. Supplementary Information: The online version contains supplementary material available at 10.1007/s42822-022-00120-3.

Applied behavioral economics and public health policies: Historical precedence and translational promise.

Behavioral economics is an approach to understanding behavior though integrating behavioral psychology and microeconomic principles. Advances in behavioral economics have resulted in quick-to-administer tasks to assess discounting (i.e., decrements in the subjective value of a commodity due to delayed or probabilistic receipt) and demand (i.e., effort exerted to defend baseline consumption of a commodity amidst increasing constraints)-these tasks are built upon decades of foundational work from the experimental analysis of behavior and exhibit adequate psychometric properties. We propose that the behavioral economic approach is particularly well suited, then, for experimentally evaluating potential public policy decisions, particularly during urgent times or crises. Using examples from our collaborations (e.g., cannabis legalization, happy hour alcohol pricing, severe weather alerts, COVID-19 vaccine marketing), we demonstrate how behavioral economic approaches have rendered novel insights to guide policy development and garnered widespread attention outside of academia. We conclude with implications on multidisciplinary work and other areas in need of behavioral economic investigations.

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.

Behavioral economics and safe sex: Examining condom use decisions from a reinforcer pathology framework.

Condom use substantially reduces unwanted pregnancies and sexually transmitted infections. While condom availability is a significant public health priority, effects of condom availability constraints remain relatively under-researched. The limited research on condom availability suggests two major barriers to use: (1) effort/costs and (2) delay to access. To date, we are aware of no study that explores both demand for and discounting of condom availability; the focus of this study was to account for condom decisions using a reinforcement pathology framework. This study used a condom purchase task and the Sexual Delay Discounting Task to quantify behavioral economics of condom use. Low sexual discounting was associated with higher willingness to engage unprotected sex. Demand metrics suggest participants indicating abstinence at condom breakpoint were willing to pay nearly double for condoms relative to individuals indicating unprotected sex at breakpoint. Finally, we grouped participants into reinforcement pathology risk groups based on their discounting and demand indices; these groups significantly differed in self-reported number of sexual partners, unprotected sexual partners, and Sexual Desire scores. This study demonstrates the value of behavioral economic approaches to public health concerns, and further underscores the translational benefits of quantitative metrics to shed novel light on risky health decisions.

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.

Increasing Appropriate Composting in High-Traffic University Settings.

Composting systems are poised to make a significant impact on waste-management strategies and greatly contribute to global sustainability efforts. However, risk of contamination by potentially detrimental compounds must be overcome before these systems can be widely adopted. Behavior analytic approaches to waste disposal adherence have consisted of antecedent and consequence strategies; many such strategies require continual oversight and significant investment of resources to maintain effectiveness. This project describes a field study that investigated a purely antecedent-based approach to nudge proper organic recycling on a university campus. Using a multiple-baseline design across dining sites, we demonstrate the efficacy of enhanced compost bins (i.e., green colored bins with a hinged door and an accompanying placard indicating site-specific materials that can and cannot be composted) to reduce product contamination by inorganic or unsuitable organic refuse. Implications for future research and suggestions for university implementation are discussed.

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).

Temporal discounting of tornado shelter-seeking intentions amidst standard and impact-based weather alerts: A crowdsourced experiment.

Tornadoes are atmospheric events capable of massive devastation, involving physical destruction and human casualties. Following the 2011 Joplin, MO tornado that claimed the lives of nearly 160 people, the National Weather Service and National Institute of Standards and Technology concluded that better warning systems would have saved lives. This conclusion prompted the creation of impact-based warning (IBW) messages that use explicit language to convey damage threats and potential outcomes. The current study examined the efficacy of impact-based warnings for evoking shelter-seeking intentions in a simulated tornado event. We stratified participants recruited through a crowdsourcing service into 1 of 4 simulated tornado warning conditions, varying with respect to the content and description (IBW) provided. Participants rated their likelihood of immediate shelter-seeking given increasing lead times to the potential tornado strike. Analyses indicated that participants receiving IBW maintained shelter-seeking most across increasing delays. Results suggest viable warning delivery at longer lead times when employing IBW, thereby providing more preparation while bypassing risks of delay-induced inaction. (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.

Visual analysis of data in a multielement design.

Ninety Board Certified Behavior Analysts (BCBAs) and 19 editorial board members evaluated hypothetical data presented in a multielement design. We manipulated the variability, trend, and mean shift of the data and asked the participants to determine if the data demonstrated experimental control. The results showed that variability, trend, and mean shift interacted to affect the participants' ratings of experimental control. The level of agreement between participants was variable, but was generally lower than in previous research.