Language, in addition to processing speed and attentive behavior, significantly predicts fraction calculations in at-risk fourth graders¶
Claim · All claims
Evidence · 1 study · associationalr2·q3
Currency · newest study 2016 · not yet checked against its sources · not reviewed by a person
Subclaims¶
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q3 i? For fraction calculations, significant predictors were language, processing speed, and attentive behavior, with the model accounting for 32% of variance. → Namkung 2016
Evidence¶
Namkung 2016¶
Namkung, J. M., & Fuchs, L. S. (2016). Cognitive Predictors of Calculations and Number Line Estimation with Whole Numbers and Fractions among At-Risk Students. Journal of Educational Psychology, 108(2), 214-228. https://doi.org/10.1037/edu0000055
q3 · i? · associational · r2
Same structural equation model as the whole-number outcome: latent fraction calculations (Fraction Addition and Fraction Subtraction) predicted from seven cognitive predictors and incoming calculation skill in 139 at-risk fourth graders. The model "accounted for 51% and 32% of the variance" in whole-number and fraction calculations respectively; language emerged as a significant predictor only for the fraction outcome.
"For fraction calculations, significant predictors were language, processing speed, and attentive behavior."
Discussion¶
Learner Variables¶
- Processing Speed — predictor: learners who differ on it differ in outcomes
Related Claims¶
- Language and incoming calculation skill predict whole-number versus fraction calculations differentially, with significant path-equality tests — related
- Incoming calculation skill did not predict fraction calculations, suggesting whole-number calculation fluency may not automatically transfer to fractions — related
- Processing speed, attentive behavior, and incoming calculation skill significantly predict whole-number calculations in at-risk fourth graders, with the model accounting for 51% of variance — related
- Domain-general cognitive abilities predict at-risk fourth graders' decimal magnitude understanding — related
- Whole-number and fraction calculations fit a two-factor structure significantly better than a one-factor model — related
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