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.

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44th Annual Convention; San Diego, CA; 2018

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Symposium #526
Sexual Behavior Delay Discounting Tasks and What They Can Teach Us
Monday, May 28, 2018
5:00 PM–5:20 PM
Marriott Marquis, Marina Ballroom D
Area: CSS/PRA; Domain: Applied Research
Chair: Jennifer Klapatch Totsch (National Louis University)
Discussant: Jamine Dettmering (The Chicago School of Professional Psychology)
Abstract:

Delay discounting is ?the decline in the present value of a reward with delay to its receipt,? (Odum, 2011). When competing contingencies are involved, Sexual Delay Discounting Tasks can provide insight to the impact of time delay or reward value magnitude on choice related behavior. This symposium presents data on the effects of time delay and probability discounting on decision making involving variable sexual preference, as well as on the effect of delay on preference for both monetary and sexual outcomes in adults with ADHD and without ADHD. Presenters will discuss resulting data and their implications as applicable, and will discuss recommendations for future research, instruction, and applied projects.

Instruction Level: Basic
Keyword(s): ADHD, delay discounting, sexual behavior, sexual preference
 
Sexy Time: Now, Later...Maybe?
ALBERT MALKIN (Southern Illinois University), Miriam Kim (ONTABA), Karl Gunnarsson (Southern Illinois University Carbondale), Mark R. Dixon (Southern Illinois University)
Abstract: This presentation will discuss data gleaned from the assessment of domain-specific discounting in the general population. Delay and probability discounting procedures were used to assess decision making on hypothetical sexual and monetary outcomes (e.g. sex now/for sure with a less-preferred sexual partner or sex later/with a chance with a highly-preferred sexual partner). All participants also completed surveys related to sexual risk and indicated a preference for specific hypothetical sexual partners, based on looks, using a multiple stimulus without replacement preference assessment procedure. All participants were recruited using Amazon Mechanical Turk Human Intelligence Tasks. Subsequently, participants were directed to the Qualtrics online survey platform to complete all questionnaires. Implications of the findings including gender differences, demographic variables, and the relationship between self-reported risky sexual behavior and sexual and monetary discounting will be discussed. Additionally, limitations will be highlighted, along with considerations regarding the practical use of discounting tasks using online questionnaire platforms.
 

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