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Matthew J. Mayhew; Christa E. Winkler; Alyssa N. Rockenbach; Renee L. Bowling – Journal of Higher Education, 2024
This paper examines the developmental trajectories of students' self-authored worldview commitments over four years of college and the reasons they offered for making associated developmental gains. Through a longitudinal, mixed methods approach, we unearthed four distinctive developmental trajectories of a nationally-representative cohort of…
Descriptors: Student Attitudes, World Views, Student Development, Diversity
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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
Sohyun An Kim – ProQuest LLC, 2022
Executive functioning (EF) is found to be a powerful predictor for children's school readiness and long-term school outcomes. However, the current research base indicates that children with autism may have an increased likelihood of experiencing deficits in EF or delayed developmental trajectories. Additionally, although there is ample evidence…
Descriptors: Executive Function, Autism Spectrum Disorders, Children, Longitudinal Studies
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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
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McNeill, Brigid; McIlraith, Autumn L.; Macrae, Toby; Gath, Megan; Gillon, Gail – Journal of Speech, Language, and Hearing Research, 2022
Purpose: The aim of this study was to describe and explain changes in severity of speech sound disorder (SSD) and token-to-token inconsistency in children with high levels of inconsistency. Method: Thirty-nine children (aged 4;6-7;11 [years;months]) with SSDs and high levels of token-to-token inconsistency were assessed every 6 months for 2 years…
Descriptors: Predictor Variables, Speech Language Pathology, Communication Disorders, Language Impairments
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Cian, Heidi; Marshall, Jeff; Qian, Meihua – Journal of Science Teacher Education, 2018
Educational research continues to reiterate the need for inquiry-based instruction in secondary science. However, the patterns of how teachers implement inquiry-based pedagogy have not been thoroughly studied--particularly from a quantitative perspective. This study is based on data from 422 observations of 50 teachers collected during a 5-year…
Descriptors: Inquiry, Active Learning, Learner Engagement, Growth Models
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Park, Yujeong; Seo, Dong Gi; Park, Jaekook; Kim, Byungkeon; Choi, Jeongwook – School Psychology International, 2019
The purpose of this study was to examine the associations between behavioral and emotional characteristics and middle school student achievement across different grades based on a growth modeling approach. Using a total of 1,874 students, target predictor variables (i.e., attention, aggressiveness, behavioral control, social withdrawal,…
Descriptors: Foreign Countries, Middle School Students, Student Characteristics, Student Behavior
New York State Education Department, 2020
This document describes the model used to measure student growth for institutional accountability in New York State for the 2018/19 school year and how three years of student growth results were combined to generate a three-year growth measure called the Growth Index. The Growth Index was first used in 2017/18 to make accountability…
Descriptors: Growth Models, Accountability, Scores, Predictor Variables
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Obasi, Chinedu; Ugo, Chima – Online Submission, 2018
Students' mathematics achievements in secondary school have an influential effect on their performance in university and their future careers. There are numerous innovative teaching strategies which are promising and have shown to improve students' achievement in mathematics; one will wonder if there will be corresponding achievement growth in…
Descriptors: Foreign Countries, Predictor Variables, Academic Achievement, Mathematics Instruction
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Ortega, Lorena; Malmberg, Lars-Erik; Sammons, Pam – Educational Evaluation and Policy Analysis, 2018
We investigated teacher effects (magnitude, predictors, and cumulativeness) on primary students' achievement trajectories in Chile, using multilevel cross-classified (accelerated) growth models (four overlapping cohorts, spanning Grades 3 to 8; n = 19,704 students, and 851 language and 812 mathematics teachers, in 156 schools). It was found that…
Descriptors: Foreign Countries, Teacher Effectiveness, Academic Achievement, Elementary School Teachers
New York State Education Department, 2019
This document describes the model used to measure student growth for institutional accountability in New York State for the 2017/18 school year and how three years of student growth results were combined to generate a three-year growth measure called the Growth Index. The Growth Index is new in 2017/18 and is used to make accountability…
Descriptors: Growth Models, Accountability, State Departments of Education, Scores
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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
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Wrabel, Stephani L.; Saultz, Andrew; Polikoff, Morgan S.; McEachin, Andrew; Duque, Matthew – Educational Policy, 2018
Executive leadership of the U.S. Department of Education (USDOE) initiated a flexibility offering from No Child Left Behind. Our work explores specific design decisions made in these state-specific accountability systems as associated with state political environments, resources, and demographic characteristics. Our analysis, focused on 42 states…
Descriptors: Elementary Secondary Education, Politics of Education, Educational Legislation, Federal Legislation
Marquez, Jocabed G. – ProQuest LLC, 2018
The United States faces high demand for science, technology, engineering, or mathematics (STEM) professionals and a scarce supply of individuals who pursue STEM careers, especially minority populations in the U.S with proficiency in a language other than English. The primary goal of this research was to determine the impact of use of Spanish in…
Descriptors: Longitudinal Studies, Executive Function, Mathematics Achievement, Science Achievement
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Kruk, Richard S.; Luther Ruban, Cassia – Journal of Learning Disabilities, 2018
Visual processes in Grade 1 were examined for their predictive influences in nonalphanumeric and alphanumeric rapid naming (RAN) in 51 poor early and 69 typical readers. In a lagged design, children were followed longitudinally from Grade 1 to Grade 3 over 5 testing occasions. RAN outcomes in early Grade 2 were predicted by speeded and nonspeeded…
Descriptors: Naming, Reading Difficulties, Grade 1, Grade 2
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