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Updated: Jan 6, 2026

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
Published on: June 30, 2020
Children's developing ability to predict novel outcomes from variability information
Elizabeth Lapidow1, Mariel Goddu2, Caren M Walker1
1Department of Psychology, University of California San Diego.
Children can make abstract inferences to predict outcomes. Younger preschoolers infer box contents based on ball color variability, with this ability becoming more sophisticated as they age.
Area of Science:
- Cognitive Development
- Developmental Psychology
- Abstract Reasoning
Background:
- Abstract inference from specific instances is a key cognitive skill.
- Understanding how children develop this ability is crucial for developmental psychology.
Purpose of the Study:
- To investigate children's ability to make abstract inferences beyond observed data.
- To examine how children use second-order characteristic inferences (variability) for novel predictions.
Main Methods:
- Three experiments were conducted with 161 preschool-aged children.
- Participants observed colored balls drawn from opaque boxes and predicted novel ball colors.
- The study contrasted performance based on varying levels of color uniformity and variability.
Main Results:
- Younger preschoolers (around 40 months) inferred box contents based on color variability (diverse vs. uniform colors).
- Older preschoolers (around 55 months) demonstrated adult-like predictions with more subtle variability contrasts (low vs. high).
- This suggests a developmental progression in the sophistication of second-order inferences.
Conclusions:
- Preschoolers utilize abstract inferences about variability to make predictions.
- The capacity for sophisticated second-order reasoning develops throughout early childhood.
- This research sheds light on the development of abstract reasoning in children.
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