Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Children use categories to maximize accuracy in estimation.

Sean Duffy1, Janellen Huttenlocher, L Elizabeth Crawford

  • 1Department of Psychology, Rutgers University, Camden, NJ 08102, USA. seduffy@camden.rutgers.edu

Developmental Science
|October 25, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Real-World Validation of PinPoint Blood Tests in the NHS: Multivariable Machine Learning to Predict Cancer Risk in Primary Care Urgent Referrals.

Mayo Clinic proceedings. Digital health·2026
Same author

Infection following foot and ankle surgery : a subanalysis of data captured from the UK Foot and Ankle Thromboembolism (FATE) audit.

The bone & joint journal·2026
Same author

Comparative evaluation of nerve repair and local tissue response following ReFeel<sup>®</sup> nerve cuff implantation in a rat sciatic model.

Frontiers in bioengineering and biotechnology·2026
Same author

Community Health Worker Feedback on an mHealth Intervention for Hypertension in Rural Guatemala: Mixed Methods Formative Study.

JMIR formative research·2026
Same author

Puf4 is methylated and exhibits a temperature-dependent interactome in <i>Cryptococcus neoformans</i>.

Microbiology spectrum·2026
Same author

Feasibility study of a novel mHealth clinical decision support application to enable Community Health Workers to manage hypertension in rural Guatemala.

medRxiv : the preprint server for health sciences·2026

Children use category information to improve their estimation accuracy, similar to adults. This study shows that even young children adjust their estimates toward a category

Area of Science:

  • Cognitive Development
  • Perceptual Psychology
  • Bayesian Modeling

Background:

  • Adults generalize category distributional information to enhance stimulus estimation accuracy.
  • The developmental origins of category-based estimation in children are not well understood.

Purpose of the Study:

  • To investigate how children utilize category information for stimulus estimation.
  • To test a Bayesian model of category effects on children's estimation processes.

Main Methods:

  • 5- and 7-year-old children viewed size-varying stimuli and reproduced them from memory.
  • Analysis focused on response adjustments, bias, and variability in relation to stimulus distributions.

Main Results:

  • Children's responses were biased towards the central value of the stimulus distribution.

Related Experiment Videos

  • Stimulus distribution dispersion influenced response bias and variability as predicted by the Bayesian model.

    • Conclusions:

    • Children, like adults, employ category information to improve estimation accuracy.
    • Findings support a Bayesian framework for understanding developmental changes in estimation.