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Hurst, Lucas T. – ProQuest LLC, 2022
Rambo-Hernandez and McCoach's analysis into the longitudinal growth of high-achieving students offered two conclusions about the reading growth of high achieving students: high-achieving students lose less ground in reading during the summer, but they exhibit less growth over the school year. This study will seek to replicate the reading results…
Descriptors: Reading Achievement, Mathematics Achievement, Growth Models, High Achievement
Liu, Yixing; Levy, Roy; Yel, Nedim; Schulte, Ann C. – School Effectiveness and School Improvement, 2023
Although there is recognition that there may be differential outcomes for groups of students within schools, examination of outcomes for subgroups presents challenges to researchers and policymakers. It complicates analytic procedures, particularly when the number of students per school in the subgroup is small. We explored five alternatives for…
Descriptors: Growth Models, Hierarchical Linear Modeling, School Effectiveness, Academic Achievement
Hwang, HyeJin – Elementary School Journal, 2020
This study investigated the role of early general knowledge in English reading growth of bilingual and monolingual students in the elementary years by using the Early Childhood Longitudinal Study, Kindergarten Class data set. The analyses of latent growth models showed that the estimated gap in English reading between students who started school…
Descriptors: Elementary School Students, Bilingual Students, Monolingualism, English
Nazari, Sanaz; Leite, Walter L.; Huggins-Manley, A. Corinne – Journal of Experimental Education, 2023
The piecewise latent growth models (PWLGMs) can be used to study changes in the growth trajectory of an outcome due to an event or condition, such as exposure to an intervention. When there are multiple outcomes of interest, a researcher may choose to fit a series of PWLGMs or a single parallel-process PWLGM. A comparison of these models is…
Descriptors: Growth Models, Statistical Analysis, Intervention, Comparative Analysis
Ethan R. Van Norman; Emily R. Forcht – Journal of Education for Students Placed at Risk, 2024
This study evaluated the forecasting accuracy of trend estimation methods applied to time-series data from computer adaptive tests (CATs). Data were collected roughly once a month over the course of a school year. We evaluated the forecasting accuracy of two regression-based growth estimation methods (ordinary least squares and Theil-Sen). The…
Descriptors: Data Collection, Predictive Measurement, Predictive Validity, Predictor Variables
Scammacca, Nancy; Fall, Anna-Mária; Capin, Philip; Roberts, Greg; Swanson, Elizabeth – Journal of Educational Psychology, 2020
Despite focused efforts, achievement gaps remain a problem in America's education system, especially those between students from higher and lower income families. Continued work on reducing these gaps benefits from an understanding of students' reading and math growth from typical school instruction and how growth differs based on initial…
Descriptors: Reading Achievement, Mathematics Achievement, Achievement Gap, Elementary School Students
Scammacca, Nancy; Fall, Anna-Mária; Capin, Phillip; Roberts, Greg; Swanson, Elizabeth – Grantee Submission, 2020
Despite focused efforts, achievement gaps remain a problem in the America's education system, especially those between students from higher and lower income families. Continued work on reducing these gaps benefits from an understanding of students' reading and math growth from typical school instruction and how growth differs based on initial…
Descriptors: Reading Achievement, Mathematics Achievement, Achievement Gap, Elementary School Students
Kuhfeld, Megan; Soland, James – Journal of Research on Educational Effectiveness, 2021
Important educational policy decisions, like whether to shorten or extend the school year, often require accurate estimates of how much students learn during the year. Yet, related research relies on a mostly untested assumption: that growth in achievement is linear throughout the entire school year. We examine this assumption using a dataset…
Descriptors: Growth Models, Reading Achievement, Mathematics Achievement, Achievement Gains
Wexler, Danielle – ProQuest LLC, 2019
In elementary school, many children struggle in learning how to read. Some of these struggling readers will be identified to receive special education services as a student with a reading disability (RD), while other students will not be identified to receive such services but will continue to have low reading achievement (LRA). Limited research,…
Descriptors: Reading Achievement, Reading Difficulties, Low Achievement, Longitudinal Studies
Exploring Reading Growth Profiles for Middle School Students with Significant Cognitive Disabilities
Farley, Daniel Patrick – ProQuest LLC, 2017
Statewide accountability programs are incorporating academic growth estimates for general assessments. This transition focuses attention on modeling growth for students with significant cognitive disabilities (SWSCD) who take alternate assessments based on alternate achievement standards (AA-AAS), as most states attempt to structure their AA-AAS…
Descriptors: Middle School Students, Reading Achievement, Profiles, Alternative Assessment
Hedger, Joseph – National Association of State Boards of Education, 2018
When the 2017 National Assessment of Educational Progress was released earlier this year, most states learned that their average scores in grades 4 and 8 reading and mathematics remained relatively flat since 2015. More troubling though, students performing at the lowest 10th and 25th percentiles saw a decline in their scores. To confront this…
Descriptors: Academic Achievement, Growth Models, Low Achievement, Accountability
Clemens, Nathan H.; Lai, Mark H. C.; Burke, Mack; Wu, Jiun-Yu – School Psychology Review, 2017
Although letter naming fluency (LNF) and letter sound fluency (LSF) measures are widely available to educators for assessing early literacy skills of kindergarten children, better understanding of the contributions of these skills to reading development can help improve the interpretation of LNF and LSF data for instructional decisions. This study…
Descriptors: Alphabets, Naming, Reading Fluency, Emergent Literacy
Schulte, Ann C.; Stevens, Joseph J.; Nese, Joseph F. T.; Yel, Nedim; Tindal, Gerald; Elliott, Stephen N. – National Center on Assessment and Accountability for Special Education, 2018
This technical report is one of a series of four technical reports that describe the results of a study comparing eight alternative models for estimating school academic achievement using data from the Arizona, North Carolina, Oregon, and Pennsylvania accountability systems. The purpose of these reports was to evaluate a broad range of models…
Descriptors: School Effectiveness, Models, Computation, Comparative Analysis
Nese, Joseph F. T.; Stevens, Joseph J.; Schulte, Ann C.; Tindal, Gerald; Yel, Nedim; Anderson, Daniel; Matta, Tyler; Elliott, Stephen N. – National Center on Assessment and Accountability for Special Education, 2018
This technical report is one of a series of four technical reports that describe the results of a study comparing eight alternative models for estimating school academic achievement using data from the Arizona, North Carolina, Oregon, and Pennsylvania accountability systems. The purpose of these reports was to evaluate a broad range of models…
Descriptors: School Effectiveness, Models, Computation, Comparative Analysis
Dobson, Cassandra Yellock – ProQuest LLC, 2017
This research study explored the relationship that exists between National Board certified teachers (NBCTs) and the reading achievement of students in third through fifth grade in comparison to non-NBCTs as measured by EVAAS growth data. Additional research questions analyzed which elements contained in the five core propositions participants…
Descriptors: Teacher Certification, Academic Achievement, Teacher Effectiveness, Reading Achievement
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