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Megan Kuhfeld; James Soland – Annenberg Institute for School Reform at Brown University, 2020
A huge portion of what we know about how humans develop, learn, behave, and interact is based on survey data. Researchers use longitudinal growth modeling to understand the development of students on psychological and social-emotional learning constructs across elementary and middle school. In these designs, students are typically administered a…
Descriptors: Elementary School Students, Middle School Students, Social Emotional Learning, Measurement Techniques
Chao, Jessica Lena – ProQuest LLC, 2017
A talented, innovative workforce in science, technology, engineering, and mathematics (STEM) is a critical component of sustained economic growth and global competitiveness. The development of this workforce is a primary concern among policymakers, industry leaders, and academics. Although many students express an interest in STEM in secondary…
Descriptors: Scientific Attitudes, Science Achievement, Self Evaluation (Individuals), Middle School Students
Candal, Cara Stillings – Pioneer Institute for Public Policy Research, 2019
In 2010, the Massachusetts Legislature lifted the cap on the number of charter schools that the Board of Elementary and Secondary Education (BESE) can authorize in low-performing school districts. The "smart cap" requires the Department of Elementary and Secondary Education (DESE) to rank district performance (based on student outcomes)…
Descriptors: Growth Models, Access to Education, Charter Schools, Public Schools
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
Monroe, Scott; Cai, Li – Educational Measurement: Issues and Practice, 2015
Student growth percentiles (SGPs, Betebenner, 2009) are used to locate a student's current score in a conditional distribution based on the student's past scores. Currently, following Betebenner (2009), quantile regression (QR) is most often used operationally to estimate the SGPs. Alternatively, multidimensional item response theory (MIRT) may…
Descriptors: Item Response Theory, Reliability, Growth Models, Computation
Monroe, Scott; Cai, Li – Grantee Submission, 2015
Student Growth Percentiles (SGP, Betebenner, 2009) are used to locate a student's current score in a conditional distribution based on the student's past scores. Currently, following Betebenner (2009), quantile regression is most often used operationally to estimate the SGPs. Alternatively, multidimensional item response theory (MIRT) may also be…
Descriptors: Item Response Theory, Reliability, Growth Models, Computation
Nelson, Peter M.; Van Norman, Ethan R.; Klingbeil, Dave A.; Parker, David C. – Psychology in the Schools, 2017
Although extensive research exists on the use of curriculum-based measures for progress monitoring, little is known about using computer adaptive tests (CATs) for progress-monitoring purposes. The purpose of this study was to evaluate the impact of the frequency of data collection on individual and group growth estimates using a CAT. Data were…
Descriptors: Progress Monitoring, Computer Assisted Testing, Data Collection, Scheduling
Basokçu, T. Oguz; Ögretmen, T. – Educational Research and Reviews, 2016
This study is based on the application of latent growth modeling, which is one of structural equation models on real data. Teachers' Sense of Efficacy Scale (TSES), which was previously adapted into Turkish was administered to 200 preservice teachers at different time intervals for three times and study data was collected. Measurement equivalence…
Descriptors: Foreign Countries, Self Efficacy, Self Concept Measures, Growth Models
McNeish, Daniel; Harring, Jeffrey R. – Educational and Psychological Measurement, 2017
To date, small sample problems with latent growth models (LGMs) have not received the amount of attention in the literature as related mixed-effect models (MEMs). Although many models can be interchangeably framed as a LGM or a MEM, LGMs uniquely provide criteria to assess global data-model fit. However, previous studies have demonstrated poor…
Descriptors: Growth Models, Goodness of Fit, Error Correction, Sampling
Indiana Department of Education, 2016
With the help of teachers and leaders throughout the state, the Indiana Department of Education has developed an optional model teacher evaluation system named RISE. Whether corporations choose to adopt RISE or a model of their own, the department's goal is to assist corporations in developing or adopting models that both comply with IC 20-28-11.5…
Descriptors: Behavioral Objectives, Teacher Evaluation, Academic Achievement, Achievement Gains
Zettler-Greeley, Cynthia M.; Bailet, Laura L.; Murphy, Suzanne; DeLucca, Teri; Branum-Martin, Lee – Early Education and Development, 2018
Research Findings: This study reports outcomes from a randomized, controlled trial of an emergent literacy intervention for prekindergarten children at-risk for reading failure. Children (N = 2219) in 114 preschools and childcare centers were screened for eligibility in fall. Children who scored at-risk (n = 476) were randomized to fall or spring…
Descriptors: Program Effectiveness, Emergent Literacy, Literacy Education, Intervention
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
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
Briggs, Derek C.; Dadey, Nathan – Educational Assessment, Evaluation and Accountability, 2017
Results from a sample of 1,013 Georgia principals who rated 12,617 teachers are used to compare holistic and analytic principal judgments with indicators of student growth central to the state's teacher evaluation system. Holistic principal judgments were compared to mean student growth percentiles (MGPs) and analytic judgments from a formal…
Descriptors: Correlation, Protocol Analysis, Classroom Observation Techniques, Academic Achievement