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Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
Published on: January 23, 2017
The development of numerical estimation: evidence against a representational shift.
Hilary C Barth1, Annie M Paladino
1Department of Psychology, Wesleyan University, 207 High Street, Middletown, CT 06459, USA. hbarth@wesleyan.edu
Developmental Science
|December 17, 2010
Summary
Children
Area of Science:
- Cognitive Development
- Numerical Cognition
- Psychology
Background:
- The dominant view suggests children's number representations shift from logarithmic to linear with age and experience.
- Existing models explain numerical estimation based on logarithmic or linear representations.
- Previous research has not unified these developmental accounts.
Purpose of the Study:
- To propose and test a new model of numerical estimation development.
- To investigate the role of proportion judgments in number-line estimation.
- To provide a unified account of developmental changes in numerical representations.
Main Methods:
- Extended perceptual proportion judgment models to abstract numerical magnitude.
- Conducted two experiments to test the proposed proportion-judgment models.
- Identified and analyzed sources of developmental change in children's estimation performance.
Main Results:
- Empirical evidence supports the application of proportion-judgment models to numerical estimation.
- The proportion-judgment framework successfully explains estimation patterns.
- Identified three key factors contributing to developmental changes in numerical estimation.
Conclusions:
- Number-line estimation relies on judgments of proportion, not solely on internal number representations.
- Proportion-judgment models offer a unified explanation for developmental changes in numerical cognition.
- This approach challenges the traditional logarithmic-to-linear shift theory.
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