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Influence of Televisibility and Harm Probability on Clinical-Ethical Decision Making
David J Cox1,2, Asim Javed1
1Endicott College, Beverly, MA USA.
Behavioral economics insights reveal that behavior analysts prioritize avoiding short-term harm over other factors in clinical-ethical decisions, unlike control groups. Machine learning models accurately predict these choices.
Area of Science:
- Behavioral Economics
- Clinical Ethics
- Psychology
Background:
- Behavioral economics frameworks are increasingly used to study clinical-ethical decisions in behavior analysis.
- Previous research often focused on broad patterns rather than specific behavioral processes influencing these decisions.
Purpose of the Study:
- To investigate how manipulating the probability of televisibility or short-term harm influences clinical-ethical decisions made by behavior analysts.
- To compare decision-making processes between practicing behavior analysts and a control group.
Main Methods:
- Participants (15 behavior analysts, 30 control) made choices under conditions with varied probabilities of televisibility and short-term harm.
- Machine learning algorithms were employed to build predictive models of participant choices.
Main Results:
- Behavior analysts were primarily influenced by the probability of short-term harm.
- Control participants considered both televisibility and short-term harm probabilities.
- Control participants showed a greater tendency to prevent harmful behavior compared to behavior analysts.
Conclusions:
- Clinical-ethical decisions are influenced by specific behavioral processes, including probability of harm and televisibility.
- Differences exist between behavior analysts' and control groups' decision-making in ethical scenarios.
- Findings suggest potential discrepancies between behavior analysts' preferences and those of their clients or caregivers.
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