Association for Behavior Analysis International

The Association for Behavior Analysis International® (ABAI) is a nonprofit membership organization with the mission to contribute to the well-being of society by developing, enhancing, and supporting the growth and vitality of the science of behavior analysis through research, education, and practice.


49th Annual Convention; Denver, CO; 2023

Event Details

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Poster Session #370D
CSS Monday Poster Session
Monday, May 29, 2023
1:00 PM–3:00 PM
Convention Center, Exhibit Hall F
Chair: Jonathan Krispin (Valdosta State University)
Diversity submission 70. Breaking Biases: An Evaluation of the Effects of Error Correction on Diminishing Implicit Biases Regarding an Individual’s Abilities Based on Knowledge of a Diagnosis
Area: CSS; Domain: Applied Research
CRYSTAL FIELDS (The Chicago School of Professional Psychology), Julie A. Ackerlund Brandt (The Chicago School of Professional Psychology ), Nicole Kanew (The Chicago School of Professional Psychology), Rachel García (The Chicago School of Professional Psychology), Rocco G Catrone (The Chicago School Professional Psychology)
Discussant: Stephanie Jimenez (University of Pittsburgh at Johnstown)
Abstract: Biases can manifest in a variety of ways. Most often, we think of racial or religious biases, but a person may develop biases toward many characteristics, such as physical diagnoses (e.g., pregnancy), developmental diagnoses (e.g., autism), and mental diagnoses (e.g., bi-polar disorder). The purpose of this study was to determine if an individual’s biases about a variety of disorders, delays, disabilities, and impairments can be altered. To assess the participants’ biases, we used the General Capabilities Scale, Acceptance and Action Questionnaire-2, and Acceptance and Action Questionnaire-Stigma. To do this, the study examined the impact of error-correction strategies on bias amongst nine adult participants. The introduction of all three error-correction procedures resulted in an increase in the knowledge each of the participants had about the 12 different categories of disabilities and disorders that were presented to them. This study concluded by discovering that the use of the error correction of repetitive responses yielded no more effectiveness than any other error correction procedures.
71. Integrating Public Health and Behavior Science
Area: CSS; Domain: Theory
JONATHAN A. SCHULZ (Vermont Center on Behavior and Health), Elizabeth Schieber (University of Massachusetts Medical School), Crystal M. Slanzi (Temple University), Sarah Catherine Weinsztok (University of Kansas), Francesca Cecilia Ramírez (National University of San Marcos; Instituto Peruano de Orientación Psicológic), Nikol Mayo (National University of San Marcos; Instituto Peruano de Orientación Psicológica), Patricia I. Wright (ProofPositive: Autism Wellbeing Alliance ), Traci M. Cihon (Behaviorists for Social Responsibility)
Discussant: Jonathan Krispin (Valdosta State University)
Abstract: Public health interventions and programs, which aim to prevent diseases and promote health status for individuals and communities, have made important contributions for the past century. However, there is room for improvement on the extent to which such interventions and programs consider the behavior of individuals as many public health concerns can be addressed through adapting and changing human behavior. However, formal collaboration between public health scholars/practitioners and behavioral scientists remains scarce. In fact, “public health” is not even a program area in behavior analytic conferences nor is there a public health Special Interest Group. This poster builds on the 2022 ABAI public health poster that provides recommendations to continue demonstrating the utility of behavioral science in public health and broaden our scope of practice by exploring the ways that behavioral scientists and public health professionals can collaborate and learn from one another. We will provide a behavior analytic conceptualization of the social determinants of health and integrate this analysis to a new Healthy People 2030 objective. We will present strategies on how behavior scientists can collaborate with public health professionals to improve population health outcomes and reduce health disparities, as well as pathways of how behavioral scientists can ethically expand their scope of practice to public health.
Sustainability submission 72.

Demand for Climate-Friendly Commodities: Do Rules About Benefits Influence Behavior?

Area: CSS; Domain: Basic Research
CYNTHIA J. PIETRAS (Western Michigan University)
Discussant: Stephanie Jimenez (University of Pittsburgh at Johnstown)

This study used a hypothetical purchase task to investigate how likelihood of purchasing a climate-friendly commodity (rooftop solar) varied with price and descriptions of benefits for purchases. Prior research has shown that consumption for a sustainable commodity varies as a function of price and is well described by an exponential demand function (Kaplan, Gelino, Reed, 2018). Research has also shown that beliefs in consequences of energy investment decisions are related to household choice (Kastner & Stern, 2015). Participants were recruited from Amazon MTurk and N=244 completed the study. Participants rated how likely they would be to purchase home solar panels at 17 prices ranging from $0 to $150000. Participants were randomly assigned to one of four groups given different statements about benefits of purchasing solar panels: no information, energy independence, cost savings, or climate change benefits. Likelihood of purchase varied as a function of price and was well fit by exponentiated demand functions. Preliminary analyses show similar results across groups in obtained demand intensity (QO) and elasticity, median price at maximum output (Pmax) at $7500 and median breakpoints at $17500-$20000. Future studies will investigate effects of messaging on consumption of commodities with lower prices (i.e., electric vehicles, plant-based burgers).

Sustainability submission 73. Evaluating the Effects of Information and Education on Sustainable Purchasing
Area: CSS; Domain: Applied Research
KATELYN RACHELLE JONES (Missouri State University), Maggie Adler (Missouri State University ), Jordan Belisle (Missouri State University), Mikaila Field (Missouri State University ), Lauren Candrl (Missouri State University )
Discussant: Jonathan Krispin (Valdosta State University)
Abstract: The fast fashion industry is growing which in turn impacts our environment with chemical pollution, CO2 emissions, and textile waste (Niinimäki et al., 2020). The current study is a translational evaluation of relational framing involved in sustainable purchasing using a multiple baseline across participants with an additive component analysis. In baseline, participants completed a purchasing task and a multi-dimensional scaling procedure. Half of the participants then received pamphlets containing information on the two clothing brands while the other half received a pamphlet on the benefits of sustainable fashion on the environment. Participants then completed the purchasing task and multi-dimensional scaling procedure again. Participants then received the pamphlets they did not receive previously and completed the surveys again. Results show participants were more willing to buy more expensive items after being informed the company is sustainable. Participants also relationally framed the sustainable brand to more pro-climate stimuli and the fast fashion brand to anti-climate stimuli after the intervention. The results indicate that (1) participants need more information about climate change to increase the reinforcing value of sustainable properties of clothing and (2) recognition of sustainable branding established through advertising, consistent with a relational frame theory account.



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