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Sara A. Schmitt

Researcher at Purdue University

Publications -  80
Citations -  1851

Sara A. Schmitt is an academic researcher from Purdue University. The author has contributed to research in topics: Head start & Literacy. The author has an hindex of 17, co-authored 64 publications receiving 1200 citations. Previous affiliations of Sara A. Schmitt include San Diego State University & Oregon State University.

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Strengthening school readiness for Head Start children: Evaluation of a self-regulation intervention

TL;DR: In this article, the authors examined the efficacy of a self-regulation intervention for children experiencing demographic risk and found that children who participated in an 8-week self-regulatory intervention demonstrated greater gains in selfregulation and academic achievement over the preschool year compared to children in a control group.
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Foundations of mathematics and literacy: The role of executive functioning components

TL;DR: Initial evidence is provided for better understanding the ways in which EF components and academic skills are related and measured and provides a foundation for further study of the components of each domain using a broader and more diverse array of measures.
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Examining the Relations between Executive Function, Math, and Literacy during the Transition to Kindergarten: A Multi-Analytic Approach.

TL;DR: This paper explored the bidirectional and longitudinal associations between executive function (EF) and early academic skills (math and literacy) across 4 waves of measurement during the transition from preschool to kindergarten using two complementary analytical approaches: cross-lagged panel modeling and latent growth curve modeling.

Examining the Relations between Executive Function, Math, and Literacy during the Transition to Kindergarten: A Multi-Analytic Approach.

TL;DR: The authors explored the bidirectional and longitudinal associations between executive function (EF) and early academic skills (math and literacy) across 4 waves of measurement during the transition from preschool to kindergarten using two complementary analytical approaches: cross-lagged panel modeling and latent growth curve modeling.
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Examining the Validity of Behavioral Self-Regulation Tools in Predicting Preschoolers' Academic Achievement.

TL;DR: The authors investigated the predictive utility of teacher-rated, observed, and directly assessed behavioral self-regulation skills to academic achievement in preschoolers and found significant positive relationships for teacher ratings and observed behavioral selfregulation for early math and literacy skills.