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Bosch, Nigel – Journal of Educational Data Mining, 2021
Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…
Descriptors: Accuracy, Learning Analytics, Models, National Competency Tests
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Alexander, Nicola A.; Jang, Sung Tae – Educational Policy, 2020
This article explores the associations between the achievement of economically disadvantaged students and the presence of state policies that include student achievement in teacher evaluations. We looked at student achievement across all 50 states from 2007 through 2013. A simple comparison of states with and without the policy suggested that…
Descriptors: State Policy, Poverty, Academic Achievement, Economically Disadvantaged
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Ramsay, James O.; Wiberg, Marie – Journal of Educational and Behavioral Statistics, 2017
This article promotes the use of modern test theory in testing situations where sum scores for binary responses are now used. It directly compares the efficiencies and biases of classical and modern test analyses and finds an improvement in the root mean squared error of ability estimates of about 5% for two designed multiple-choice tests and…
Descriptors: Scoring, Test Theory, Computation, Maximum Likelihood Statistics
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Bohrnstedt, G.; Kitmitto, S.; Ogut, B.; Sherman, D.; Chan, D. – National Center for Education Statistics, 2015
The School Composition and the Black-White Achievement Gap study was undertaken by the National Center for Education Statistics to present both descriptive and associative information on the relationships among the percentage of students in a school who were Black (referred to as "Black student density" or "density"), the…
Descriptors: School Demography, Racial Composition, Achievement Gap, African American Students
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Darling-Hammond, Linda – Learning Policy Institute, 2017
After passage of the Every Student Succeeds Act (ESSA) in 2015, states assumed greater responsibility for designing their own accountability and assessment systems. ESSA requires states to measure "higher order thinking skills and understanding" and encourages the use of open-ended performance assessments, which are essential for…
Descriptors: Performance Based Assessment, Accountability, Portfolios (Background Materials), Task Analysis
Darling-Hammond, Linda – Council of Chief State School Officers, 2017
The Every Student Succeeds Act (ESSA) opened up new possibilities for how student and school success are defined and supported in American public education. States have greater responsibility for designing and building their assessment and accountability systems. These new opportunities to develop performance assessments are critically important…
Descriptors: Performance Based Assessment, Accountability, Portfolios (Background Materials), Task Analysis
Quint, Janet; Zhu, Pei; Balu, Rekha; Rappaport, Shelley; DeLaurentis, Micah – MDRC, 2015
Success for All (SFA), one of the best-known school reform models, aims to improve the reading skills of all children but is especially directed at schools that serve large numbers of students from low-income families. First implemented in 1987, SFA combines a challenging reading program, whole-school reform elements, and an emphasis on continuous…
Descriptors: Models, Educational Change, Program Implementation, Reading Instruction
Quint, Janet; Zhu, Pei; Balu, Rekha; Rappaport, Shelley; DeLaurentis, Micah – MDRC, 2015
Success for All (SFA), one of the best-known school reform models, aims to improve the reading skills of all children but is especially directed at schools that serve large numbers of students from low-income families. First implemented in 1987, SFA combines a challenging reading program, whole-school reform elements, and an emphasis on continuous…
Descriptors: Models, Educational Change, Program Implementation, Reading Instruction
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Ho, Andrew Dean – Journal of Educational and Behavioral Statistics, 2009
Problems of scale typically arise when comparing test score trends, gaps, and gap trends across different tests. To overcome some of these difficulties, test score distributions on the same score scale can be represented by nonparametric graphs or statistics that are invariant under monotone scale transformations. This article motivates and then…
Descriptors: Nonparametric Statistics, Comparative Analysis, Trend Analysis, Scores
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Kitmitto, Sami – National Center for Education Statistics, 2011
The National Center for Education Statistics (NCES) continues to be interested in addressing the issue identified by the Government Accountability Office (GAO). With the release of the 2009 National Assessment of Educational Progress (NAEP) reading and mathematics assessments, NCES again had the opportunity to measure the status and change in…
Descriptors: Inclusion, Disabilities, National Competency Tests, Methods
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Xu, Xueli; von Davier, Matthias – ETS Research Report Series, 2008
The general diagnostic model (GDM) utilizes located latent classes for modeling a multidimensional proficiency variable. In this paper, the GDM is extended by employing a log-linear model for multiple populations that assumes constraints on parameters across multiple groups. This constrained model is compared to log-linear models that assume…
Descriptors: Comparative Analysis, Models, Computation, National Competency Tests
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Xu, Xueli; von Davier, Matthias – ETS Research Report Series, 2008
Three strategies for linking two consecutive assessments are investigated and compared by analyzing reading data for the National Assessment of Educational Progress (NAEP) using the general diagnostic model. These strategies are compared in terms of marginal and joint expectations of skills, joint probabilities of skill patterns, and item…
Descriptors: National Competency Tests, Probability, Reading Achievement, Test Items
Tarr, James E.; Ross, Daniel J.; McNaught, Melissa D.; Chavez, Oscar; Grouws, Douglas A.; Reys, Robert E.; Sears, Ruthmae; Taylan, R. Didem – Online Submission, 2010
The Comparing Options in Secondary Mathematics: Investigating Curriculum (COSMIC) project is a longitudinal study of student learning from two types of mathematics curricula: integrated and subject-specific. Previous large-scale research studies such as the National Assessment of Educational Progress (NAEP) indicate that numerous variables are…
Descriptors: Mathematics Education, Teacher Characteristics, Mathematics Achievement, Program Effectiveness
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Li, Deping; Oranje, Andreas – ETS Research Report Series, 2007
Two versions of a general method for approximating standard error of regression effect estimates within an IRT-based latent regression model are compared. The general method is based on Binder's (1983) approach, accounting for complex samples and finite populations by Taylor series linearization. In contrast, the current National Assessment of…
Descriptors: Error of Measurement, Regression (Statistics), Trend Analysis, National Competency Tests
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Xu, Xueli; von Davier, Matthias – ETS Research Report Series, 2006
More than a dozen statistical models have been developed for the purpose of cognitive diagnosis. These models are supposed to extract a much finer level of information from item responses than traditional unidimensional item response models. In this paper, a general diagnostic model (GDM) was used to analyze a set of simulated sparse data and real…
Descriptors: Statistical Analysis, National Competency Tests, Diagnostic Tests, Item Response Theory
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