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Showing 1 to 15 of 43 results Save | Export
Dan Goldhaber; Stephanie Liddle – Center for Education Data & Research, 2025
The current literature on early predictors of postsecondary outcomes focuses almost exclusively on the relationship between postsecondary outcomes and students' academic achievements and experiences in middle and high school. These relationships are important, but policymakers and educators might get a more complete picture of how K12 relates to…
Descriptors: Predictor Variables, College Outcomes Assessment, Academic Achievement, Student Experience
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Amie F. Bettencourt; Corinne M. Plesko; Deborah Gross; Rashelle J. Musci – School Mental Health, 2025
A better understanding of factors influencing who receives disability support services through an Individualized Education Program (IEP) or a Section 504 Accommodation Plan from the Rehabilitation Act of 1973 (504 plan) and when is needed. This study used administrative data from11,405 students enrolled in 121 Baltimore City Schools (51% male; 85%…
Descriptors: Students with Disabilities, Individualized Education Programs, Federal Legislation, Academic Accommodations (Disabilities)
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Gullo, Dominic F.; Ammar, Alia A. – Early Child Development and Care, 2022
Structural equation modelling was used to investigate the predictive associations between kindergarten developmental, socio-behavioural, and biotic influences on third grade achievement among a nationally representative sample of low-SES children. The findings validate the understanding that developmental and learning trajectories start early in…
Descriptors: Grade Prediction, Grade 3, Academic Achievement, Low Income Students
James R. Izzo – ProQuest LLC, 2024
Curriculum-based measurements (CBM) are used in schools to screen students for academic difficulties. Oral reading fluency curriculum-based measures (CBM-R) are the most popular, yet several studies have identified predictive bias in CBM-Rs in relation to key variables (e.g., race, sex). Despite a massive increase in the use of these measures as…
Descriptors: Predictor Variables, Bias, Curriculum Based Assessment, Reading Tests
Andrew Weaver – Grantee Submission, 2023
This study explores whether teacher reports of executive functions predict change in reading performance (i.e., reading development) for elementary-aged students when controlling for direct assessments of executive functions and for teacher reports of students' literacy skills. Prior research has raised problems with the construct validity of…
Descriptors: Executive Function, Reading Achievement, Reading Skills, Elementary School Students
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Andrew Weaver – Reading Research Quarterly, 2023
This study explores whether teacher reports of executive functions predict change in reading performance (i.e., reading development) for elementary-aged students when controlling for direct assessments of executive functions and for teacher reports of students' literacy skills. Prior research has raised problems with the construct validity of…
Descriptors: Executive Function, Reading Achievement, Reading Skills, Elementary School Students
Richard E. Mattison; Adrienne D. Woods; Paul L. Morgan; George Farkas; Marianne M. Hillemeier – Journal of Learning Disabilities, 2023
We examined to what extent subgroups of students identified with learning disabilities (LDs; N = 630) in the Early Childhood Longitudinal Study, Kindergarten Class of 1998 to 1999 (ECLS-K): 1998 national longitudinal study displayed heterogeneity in longitudinal profiles of reading and mathematics achievement from first to eighth grades.…
Descriptors: Students with Disabilities, Learning Disabilities, Reading Achievement, Mathematics Achievement
Jonathan D. Schweig; Andrew McEachin; Megan Kuhfeld; Lou Mariano; Melissa Diliberti – Grantee Submission, 2022
As students return to in-person instruction in the 2021-2022 school year, local education agencies (LEAs) must develop resource allocation strategies to support schools in need. Federal programs have provided resources to support restart and recovery. However, there is little consensus on how LEAs can target resources to support those schools most…
Descriptors: COVID-19, Pandemics, Resource Allocation, Educational Needs
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Jonathan D. Schweig; Andrew McEachin; Megan Kuhfeld; Lou Mariano; Melissa Diliberti – Educational Assessment, 2022
As students return to in-person instruction in the 2021-2022 school year, local education agencies (LEAs) must develop resource allocation strategies to support schools in need. Federal programs have provided resources to support restart and recovery. However, there is little consensus on how LEAs can target resources to support those schools most…
Descriptors: COVID-19, Pandemics, Resource Allocation, Educational Needs
Murphy, Mark – Stanford Center for Education Policy Analysis, 2021
Growing evidence illustrates the size and character of public-school enrollment declines during the COVID-19 pandemic. However, far less is known about where unenrolled students went. Using unique cross-sector enrollment and mobility data from the state of Hawaii, this study provides evidence that demographic changes and movement to private…
Descriptors: Public Schools, Enrollment Trends, Student Mobility, Out of School Youth
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Harding, Jessica F.; Herrmann, Mariesa A.; Hanno, Elias S.; Ross, Christine – Regional Educational Laboratory Mid-Atlantic, 2019
The purpose of this study was to identify an indicator that the School District of Philadelphia (SDP) could use to measure the percentage of entering kindergarteners who are on-track to read on grade level by the end of grade 3. To develop the indicator, this study examined relationships between student scores on SDP's different assessments that…
Descriptors: Emergent Literacy, Reading Skills, Language Arts, Early Reading
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Hung, Man; Smith, William A.; Voss, Maren W.; Franklin, Jeremy D.; Gu, Yushan; Bounsanga, Jerry – Education and Urban Society, 2020
This study examined factors contributing to achievement gaps between White and African American students in 2,868 diverse school districts across the United States. Using pooled data across five school years (2008-2013), six grade levels (grades third to eighth, which typically include students aged 8 years-14 years) and two different subjects…
Descriptors: Achievement Gap, White Students, African American Students, Racial Differences
Kloos, Heidi – Online Submission, 2019
A data set from an urban Midwestern school district was mined to explore how the technology-based reading enrichment known as Mindplay Virtual Reading Coach (MVRC) affects children's performance on the English Language Arts (ELA) Standards state-wide assessment (N = 6098 students from Grades 3 to 9). ELA data from two times points were available,…
Descriptors: Poverty, Urban Schools, Language Arts, Educational Technology
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Sorensen, Lucy C. – Educational Administration Quarterly, 2019
Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…
Descriptors: At Risk Students, Dropouts, Data Collection, Data Analysis
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Johnson, Ursula Y.; Hull, Darrell M. – Journal of Educational Research, 2014
The authors examined science achievement growth at Grades 3, 5, and 8 and parent school involvement at the same time points using the Early Childhood Longitudinal Study-Kindergarten Class of 1998-1999. Data were analyzed using cross-classified multilevel latent growth curve modeling with time invariant and varying covariates. School-based…
Descriptors: Science Achievement, Parent Participation, Grade 3, Grade 5
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