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The influence of sample size on preferences from experience
Janine Christin Hoffart1, Jana B Jarecki1, Gilles Dutilh1
1Center for Economic Psychology, Department of Psychology, University of Basel, Basel, Switzerland.
People learn about risky choices from experience, but sample size often doesn't change their decisions. Cognitive modeling revealed Bayesian and frequentist learners, explaining why sample size impacts judgments differently.
Area of Science:
- Cognitive Psychology
- Decision Science
- Behavioral Economics
Background:
- Individuals frequently learn about the outcomes of uncertain or risky options through direct experience.
- Decision-making from experience often involves actively sampling information from potential choices, typically with small sample sizes.
Purpose of the Study:
- To investigate the impact of sample size experienced from risky gambles on decision-making preferences.
- To analyze how varying sample sizes influence subjective selling prices and confidence in judgments.
Main Methods:
- Two studies were conducted with 40 participants each.
- Sample size from risky gambles was manipulated.
- Subjective selling prices and confidence in judgments were measured post-sampling.
Main Results:
- On average, sample size did not significantly affect selling prices or confidence.
- Cognitive modeling identified two distinct learning strategies: Bayesian and frequentist.
- Bayesian learners' selling prices varied with sample size as predicted, while frequentist learners showed minimal impact.
Conclusions:
- Individual learning strategies significantly influence how people process experienced information from risky options.
- The observed variability in learning (Bayesian vs. frequentist) explains why sample size effects on judgments are often inconsistent.
- Cognitive simplicity may favor frequentist learning strategies, further impacting sensitivity to sample size.
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