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Showing 91 to 105 of 129 results Save | Export
Choi, Kilchan; Kim, Jinok – Journal of Educational and Behavioral Statistics, 2019
This article proposes a latent variable regression four-level hierarchical model (LVR-HM4) that uses a fully Bayesian approach. Using multisite multiple-cohort longitudinal data, for example, annual assessment scores over grades for students who are nested within cohorts within schools, the LVR-HM4 attempts to simultaneously model two types of…
Descriptors: Regression (Statistics), Hierarchical Linear Modeling, Longitudinal Studies, Cohort Analysis
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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
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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
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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
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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
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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
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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
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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
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Ober, David R.; Beekman, John A.; Pierce, Rebecca L. – Journal of Education and Training Studies, 2018
This paper examines the graduation rates between 2000 and 2015 of United States colleges and universities at the national, state, and institutional levels. This research focuses on two-year and four-year programs. Rates are investigated longitudinally along with variables that distinguish between public/private institutions, percentages of…
Descriptors: Graduation Rate, Longitudinal Studies, Growth Models, Part Time Students
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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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Harvey, James W.; McCrohan, Kevin F. – Marketing Education Review, 2017
Two fallacious assumptions can mislead assurance of learning (AoL) loop closing. Association to Advance Collegiate Schools of Business guidance states that learning goals should reflect the outcomes most valued by the program, but evidence shows that schools assign equal priorities to the skills selected. The second false assumption is that…
Descriptors: Case Studies, Business Administration Education, Skill Development, Prior Learning
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Silkina, Galina Iu.; Bakanova, Svetlana A. – International Journal of Environmental and Science Education, 2016
The article considers the mathematical models of the growth and accumulation of scientific and applied knowledge since it is seen as the main potential and key competence of modern companies. The problem is examined on two levels--the growth and evolution of objective knowledge and knowledge evolution of a particular individual. Both processes are…
Descriptors: Growth Models, Mathematical Models, Individual Development, Knowledge Economy
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Lu, Yi – Journal of Educational Issues, 2016
To model students' math growth trajectory, three conventional growth curve models and three growth mixture models are applied to the Early Childhood Longitudinal Study Kindergarten-Fifth grade (ECLS K-5) dataset in this study. The results of conventional growth curve model show gender differences on math IRT scores. When holding socio-economic…
Descriptors: Growth Models, Mathematics Achievement, Achievement Gains, Longitudinal Studies
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Xu, Xianxuan; Grant, Leslie W.; Ward, Thomas J. – NASSP Bulletin, 2016
This study examines the validity of a statewide teacher evaluation system in the Commonwealth of Virginia. Three hundred and thirty-eight teachers from 16 at-risk schools located in eight school districts participated in an evaluation system pilot during the 2011-2012 academic year. Teachers received ratings on six teacher effectiveness process…
Descriptors: Teacher Evaluation, Validity, State Programs, Scores
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Judson, Eugene – Journal of Educational Research, 2017
Rapid growth of Advanced Placement (AP) exams in the last 2 decades has been paralleled by national enthusiasm to promote availability and rigor of science, technology, engineering, and mathematics (STEM). Trends were examined in STEM AP to evaluate and compare growth and achievement. Analysis included individual STEM subjects and disaggregation…
Descriptors: Advanced Placement Programs, Mathematics Tests, Science Tests, Science Achievement
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