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Multimedia Battery for Assessment of Cognitive and Basic Skills in Mathematics BM-PROMA
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State and trait effects on individual differences in children's mathematical development.

Drew H Bailey1, Tyler W Watts2, Andrew K Littlefield3

  • 1School of Education, University of California, Irvine dhbailey@uci.edu.

Psychological Science
|September 19, 2014
PubMed
Summary
This summary is machine-generated.

Children's later math skills reflect stable learning traits more than early math knowledge. These underlying characteristics significantly influence mathematical development over time.

Keywords:
cognitive developmenteducationintelligencemathematics achievementstate-trait models

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Area of Science:

  • Developmental Psychology
  • Educational Psychology
  • Cognitive Science

Background:

  • Longitudinal studies confirm strong links between early and later math achievement.
  • Early math interventions show diminishing effects over time, creating a paradox.
  • Existing research doesn't fully explain the persistence of math achievement differences.

Purpose of the Study:

  • To investigate whether stable individual traits or direct effects of early math knowledge better explain later math achievement.
  • To differentiate between latent trait (stable) and state (transient) influences on mathematical development.
  • To reconcile the discrepancy between strong longitudinal correlations and intervention effect decay.

Main Methods:

  • Utilized two large-scale longitudinal datasets tracking children's math achievement.
  • Employed simultaneous modeling to estimate the effects of latent traits and states on math development.
  • Included control variables like working memory to assess their contribution to trait effects.

Main Results:

  • Latent trait effects significantly outweighed state effects in predicting children's mathematical development.
  • Stable individual characteristics accounted for a larger portion of math achievement variance than prior knowledge.
  • Even after accounting for control variables, residual trait effects remained substantial.

Conclusions:

  • Children's long-term math achievement is primarily driven by stable, underlying learning characteristics, not just early exposure.
  • Understanding these latent traits is crucial for effective educational strategies in mathematics.
  • Future research and interventions should focus on identifying and nurturing these stable individual differences.