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Yadira Peralta; Nidhi Kohli; Panayiota Kendeou; Mark L. Davison; Eric F. Lock – Reading and Writing: An Interdisciplinary Journal, 2024
The relation between reading and mathematics achievement is an active area of research, and evidence in the extant literature suggests they are closely related. However, there is a lack of understanding about how their relation develops over time. Indeed, traditional longitudinal analyses have focused on investigating each domain independently,…
Descriptors: Learning Trajectories, Reading Achievement, Mathematics Achievement, Models
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Lelydeyvis Boza; F. Chris Curran; Katharine Harris-Walls; Tiffany S. Tan; Amber Deig; Mark B. Pacheco – Science Education, 2024
As linguistic diversity continues to increase in the United States public school system, schools are expected to meet the needs of their ever-changing student body. While much attention within education research has understandably focused on multilingual learners' (MLs) English language acquisition, an emergent body of work points to science as an…
Descriptors: Multilingualism, Bilingual Students, Science Education, Elementary School Science
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Dominic F. Gullo; Katie Mathew – Early Childhood Education Journal, 2025
This study examined the longitudinal changes in kindergarten demographics and child outcomes by comparing data from the Early Childhood Longitudinal Survey (ECLS-K) 1998 and 2011 cohorts. Results demonstrated that there were significant changes in kindergarten in general and with regard to FDK and HDK schedules between 1998 and 2011. These…
Descriptors: School Schedules, Kindergarten, Demography, Outcomes of Education
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Kirksey, J. Jacob – American Journal of Education, 2023
Purpose: With rising numbers of deportations over the last 2 decades, there has been a particular concern among educators and researchers that immigrant-origin students and their peers are experiencing educational consequences due to increased stress, anxiety, and fear of the unknown. This study examined the relationship between immigration…
Descriptors: Undocumented Immigrants, Elementary School Students, Reading Achievement, Mathematics Achievement
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Youmi Suk – Journal of Educational and Behavioral Statistics, 2024
Machine learning (ML) methods for causal inference have gained popularity due to their flexibility to predict the outcome model and the propensity score. In this article, we provide a within-group approach for ML-based causal inference methods in order to robustly estimate average treatment effects in multilevel studies when there is cluster-level…
Descriptors: Artificial Intelligence, Causal Models, Statistical Inference, Maximum Likelihood Statistics
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Ross, Robbie; Starrett, Angela; Irvin, Matthew J. – Early Childhood Education Journal, 2023
Early onset of internalizing and externalizing behavior problems is associated with persistent and more severe academic, social, and mental health challenges later in life. Understanding the factors that increase children's risk of developing these behavior problems prior to the start of formal school is important for preventing their emergence…
Descriptors: Longitudinal Studies, Surveys, Kindergarten, Young Children
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F. Chris Curran; Mark B. Pacheco; Lelydeyvis Boza; Katharine Harris-Walls; Tiffany Tan; Amber Deig – AERA Open, 2024
Multilingual learners (MLs) represent an increasing proportion of public school students. Although much attention has been given to their academic performance in English language arts and math, less research has addressed their academic performance in science, particularly in elementary school. This study leveraged nationally representative data…
Descriptors: Multilingualism, Bilingual Students, Elementary School Students, Elementary School Science
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Shi, Dingjing; Tong, Xin – Sociological Methods & Research, 2022
This study proposes a two-stage causal modeling with instrumental variables to mitigate selection bias, provide correct standard error estimates, and address nonnormal and missing data issues simultaneously. Bayesian methods are used for model estimation. Robust methods with Student's "t" distributions are used to account for nonnormal…
Descriptors: Bayesian Statistics, Monte Carlo Methods, Computer Software, Causal Models
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Matthew E. Foster; Jacqueline M. Caemmerer; Briana Hennessy; Sara A. Smith; Lisa M. López; Trina D. Spencer – Elementary School Journal, 2024
Using the Early Childhood Longitudinal Study Kindergarten Cohort (2010-2011), this study is the first to investigate predictors of kindergarten science achievement and growth across elementary school--English language proficiency (ELP), executive functioning, math and reading achievement, parent-engaged science and math activities, and classroom…
Descriptors: Predictor Variables, Kindergarten, Young Children, Science Achievement
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Jiye Kim – International Journal of Child Care and Education Policy, 2024
Kindergarten is emphasized as a critical first entry into the education system, as politicians and pundits believe kindergartners' success can lead to later academic achievement. Therefore, a comprehensive understanding of kindergarten school readiness data should consider how it is measured and how that affects learning. Using the Early Childhood…
Descriptors: Kindergarten, School Readiness, Teacher Attitudes, Cognitive Style
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Feldon, David F.; Litson, Kaylee – Educational Psychology Review, 2021
Working memory is an essential mechanism in the cognitive learning process. However, its definitions and mechanisms remain a topic of debate. Miller-Cotto and Byrnes ("Journal of Educational Psychology," "112"(5), 1074-1084, 2020) reported a comparison of three models of working memory to determine which best accounted for data…
Descriptors: Short Term Memory, Learning Processes, Models, Children
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Bodovski, Katerina; Lee, Yeonwoo; Ahn, Jee Bin; Hu, Hengyu – International Studies in Sociology of Education, 2022
Using the data from the Early Childhood Longitudinal Study, Kindergarten Class of 2010-11 (ECLS-K:2011), this paper proposes to theoretically redefine and empirically capture the concept of emotional capital as it applies to students, employing five components (engagement, school belonging, grit, peer social support, and life satisfaction). The…
Descriptors: Student Behavior, Equal Education, Children, Longitudinal Studies
Anastasio, R. Julius – ProQuest LLC, 2022
Moving can be a stressful and disruptive event for children, but the associations among the type of move, accompanying neighborhood characteristics, and children's development are less well understood, particularly for elementary school children. In the current dissertation, I developed and tested components of a conceptual model that uses…
Descriptors: Neighborhoods, Student Mobility, Place of Residence, Housing
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Rachelle M. Johnson; Jenna E. Finch – Grantee Submission, 2024
Engagement and academic achievement are generally correlated among elementary school students without learning disabilities (LDs). However, it is unclear if this pattern holds for students with LDs, who have lower achievement and engagement than their peers. This study examined whether links between achievement and student-reported behavioral…
Descriptors: Academic Achievement, Learning Disabilities, Students with Disabilities, Grade 3
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Roof, Holly; Chimuma, Lilian – Educational Research: Theory and Practice, 2022
Science, Technology, Engineering, and Math (STEM) education is considered critical and valid for the modern workforce which is strongly enveloped in technology. Therefore, it is imperative to reinforce science and math education and knowledge among students early in their educations. Despite this understanding, most research has focused on the…
Descriptors: Reading Achievement, Mathematics Achievement, Science Achievement, STEM Education
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