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Drew H. Bailey

Researcher at University of California, Irvine

Publications -  96
Citations -  4965

Drew H. Bailey is an academic researcher from University of California, Irvine. The author has contributed to research in topics: Medicine & Cognition. The author has an hindex of 30, co-authored 88 publications receiving 4130 citations. Previous affiliations of Drew H. Bailey include University of Missouri & Carnegie Mellon University.

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Mathematical Cognition Deficits in Children With Learning Disabilities and Persistent Low Achievement: A Five-Year Prospective Study

TL;DR: Both the MLD and LA groups showed slow across-grade growth in mathematics achievement, and group differences in growth were mediated by deficits or delays in fluency of number processing, the ability to retrieve basic facts from long-term memory and to decompose numbers to aid in problem solving.
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Persistence and Fadeout in the Impacts of Child and Adolescent Interventions

TL;DR: It is argued that skill-building interventions should target “trifecta” skills—ones that are malleable, fundamental, and would not have developed eventually in the absence of the intervention.
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Relations of different types of numerical magnitude representations to each other and to mathematics achievement

TL;DR: The authors examined relations between symbolic and non-symbolic numerical magnitude representations, between whole number and fraction representations, and between these representations and overall mathematics achievement in fifth graders, and found that the relation was much stronger for symbolic numbers.

Relations of Different Types of Numerical Magnitude Representations to Each Other and to Mathematics Achievement.

TL;DR: A meta-analysis of 19 published studies indicated that relations between non-symbolic numerical magnitude knowledge and mathematics achievement are present but tend to be weak, especially beyond 6 years of age.
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Fractions: the new frontier for theories of numerical development

TL;DR: This article examined the neural underpinnings of fraction understanding, developmental and individual differences in that understanding, and interventions that improve the understanding, concluding that accurate representation of fraction magnitudes emerges as crucial both to conceptual understanding of fractions and to fraction arithmetic.