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Sam Trejo – Grantee Submission, 2024
Birth weight is a robust predictor of valued life course outcomes, emphasizing the importance of prenatal development. But does birth weight act as a proxy for environmental conditions in utero, or do biological processes surrounding birth weight themselves play a role in healthy development? To answer this question, we leverage variation in birth…
Descriptors: Body Weight, Prenatal Influences, Genetics, Hypothesis Testing
Magliano, Joseph P.; Higgs, Karyn; Santuzzi, Alecia; Tonks, Stephen M.; O'Reilly, Tenaha; Sabatini, John; Feller, Daniel; Kopatich, Ryan D.; Ray, Melissa; Parker, Christopher – Grantee Submission, 2020
The inference mediation hypothesis (IMH) assumes that individual difference factors that affect reading proficiency have direct and indirect effects on comprehension outcomes, with the indirect effects involving inference processes. The present study tested the IMH in a diverse sample of two and four-year college students in a task that emphasizes…
Descriptors: Hypothesis Testing, Inferences, Individual Differences, Reading Comprehension
Rittle-Johnson, Bethany; Zippert, Erica L.; Boice, Katherine L. – Grantee Submission, 2018
Because math knowledge begins to develop at a young age to varying degrees, it is important to identify foundational cognitive and academic skills that might contribute to its development. The current study focused on two important, but often overlooked skills that recent evidence suggests are important contributors to early math development:…
Descriptors: Preschool Children, Mathematics, Mathematics Skills, Knowledge Level
Rittle-Johnson, Bethany; Fyfe, Emily R.; Hofer, Kerry G.; Farran, Dale C. – Grantee Submission, 2016
Early mathematics knowledge is a strong predictor of later academic achievement, but children from low-income families enter school with weak mathematics knowledge. An Early Math Trajectories model is proposed and evaluated within a longitudinal study of 517 low-income American children from age 4 to 11. This model includes a broad range of math…
Descriptors: Low Income Groups, Mathematics Achievement, Knowledge Level, Children
Doroudi, Shayan; Holstein, Kenneth; Aleven, Vincent; Brunskill, Emma – Grantee Submission, 2016
How should a wide variety of educational activities be sequenced to maximize student learning? Although some experimental studies have addressed this question, educational data mining methods may be able to evaluate a wider range of possibilities and better handle many simultaneous sequencing constraints. We introduce Sequencing Constraint…
Descriptors: Sequential Learning, Data Collection, Information Retrieval, Evaluation Methods
Svoboda, Ryan C.; Rozek, Christopher S.; Hyde, Janet S.; Harackiewicz, Judith M.; Destin, Mesmin – Grantee Submission, 2016
High school students from lower-socioeconomic status (SES) backgrounds are less likely to enroll in advanced mathematics and science courses compared to students from higher-SES backgrounds. The current longitudinal study draws on identity-based and expectancy-value theories of motivation to explain the SES and mathematics and science…
Descriptors: Parent Background, Educational Attainment, STEM Education, Course Selection (Students)
Joshua M. Langberg; Melissa R. Dvorsky; Stephen J. Molitor; Elizaveta Bourchtein; Laura D. Eddy; Zoe R. Smith; Lauren E. Oddo; Hana-May Eadeh – Grantee Submission, 2017
Objective: To evaluate the effectiveness of 2 brief school-based interventions targeting the homework problems of adolescents with attention-deficit/hyperactivity disorder (ADHD)--the Homework, Organization, and Planning Skills (HOPS) intervention and the Completing Homework by Improving Efficiency and Focus (CHIEF) intervention, as implemented by…
Descriptors: Randomized Controlled Trials, Theory Practice Relationship, Intervention, Homework