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Lisa K. Fazio

Researcher at Vanderbilt University

Publications -  51
Citations -  2871

Lisa K. Fazio is an academic researcher from Vanderbilt University. The author has contributed to research in topics: Misinformation & Suggestibility. The author has an hindex of 20, co-authored 46 publications receiving 2108 citations. Previous affiliations of Lisa K. Fazio include Duke University & Carnegie Mellon University.

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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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Knowledge does not protect against illusory truth.

TL;DR: Contrary to prior suppositions, illusory truth effects occurred even when participants knew better, andMultinomial modeling demonstrated that participants sometimes rely on fluency even if knowledge is also available to them, demonstrating knowledge neglect, or the failure to rely on stored knowledge, in the face of fluent processing experiences.
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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.

Fractions: The New Frontier for Theories of Numerical Development.

TL;DR: The neural underpinnings of fraction understanding, developmental and individual differences in that understanding, and interventions that improve the understanding are examined.