Do children match described probabilities? The sampling hypothesis applied to repeated risky choice

Area of Science:

• Developmental Psychology
• Cognitive Science
• Decision-Making Research

Background:

• Children can learn outcome probabilities from descriptive information, such as graphical frequency distributions.
• Previous research explored children's sampling in causal learning and adults' repeated risky choices.
• Understanding how children make repeated risky choices when probabilities are learned from descriptions is less understood.

Purpose of the Study:

• To investigate the development of repeated risky choices in early childhood when outcome probabilities are learned from graphical descriptions.
• To examine whether children probability match and if perceived choice dependency influences their decision-making process.
• To compare children's and adults' behavior in a child-friendly risky choice task.

Main Methods:

• Conducted a risky choice task with 201 children (aged 3-7 years) and 100 adults.
• Participants learned outcome probabilities from graphical representations before making repeated choices.
• Analyzed choice behavior, focusing on probability matching, choice dependency, diversification, and switching patterns.

Main Results:

• Contrary to expectations, neither children nor adults exhibited probability matching in repeated risky choices.
• Perceived dependency between choices did not significantly shape the underlying choice process for either group.
• Children predominantly diversified their choices, with older children showing a strong tendency to switch between options.

Conclusions:

• Standard cognitive models from causal learning and risky choice literature do not fully apply to this learning context.
• Childhood appears to be a critical period for exploration in decision-making, characterized by choice diversification and switching.
• The format of learning probabilities (e.g., graphical description) is crucial when studying developmental changes in repeated choice behavior.