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Hawley, Leslie R.; Bovaird, James A.; Wu, ChaoRong – Applied Measurement in Education, 2017
Value-added assessment methods have been criticized by researchers and policy makers for a number of reasons. One issue includes the sensitivity of model results across different outcome measures. This study examined the utility of incorporating multivariate latent variable approaches within a traditional value-added framework. We evaluated the…
Descriptors: Value Added Models, Reliability, Multivariate Analysis, Scaling
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Koon, Sharon; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2015
The purpose of this report was to explicate the use of logistic regression and classification and regression tree (CART) analysis in the development of early warning systems. It was motivated by state education leaders' interest in maintaining high classification accuracy while simultaneously improving practitioner understanding of the rules by…
Descriptors: Classification, Regression (Statistics), Models, At Risk Students
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Clarke, Ben; Baker, Scott; Smolkowski, Keith; Doabler, Christian; Strand Cary, Mari; Fien, Hank – Journal of Research on Educational Effectiveness, 2015
This study examined the efficacy of a core kindergarten mathematics program, Early Learning in Mathematics (ELM), a 120-lesson program with four content strands: (a) number operations, (b) geometry, (c) measurement, and (d) vocabulary. The study utilized a randomized block design, with 129 classrooms randomly assigned within schools to treatment…
Descriptors: Kindergarten, Young Children, Mathematics Instruction, Control Groups
Foorman, Barbara R.; Petscher, Yaacov; Schatschneider, Chris – Florida Center for Reading Research, 2015
The Florida Center for Reading Research (FCRR) Reading Assessment (FRA) consists of computer-adaptive reading comprehension and oral language screening tasks that provide measures to track growth over time, as well as a Probability of Literacy Success (PLS) linked to grade-level performance (i.e., the 50th percentile) on the reading comprehension…
Descriptors: Elementary School Students, Middle School Students, High School Students, Written Language
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Thompson, Carla J. – Journal of Educational Research and Practice, 2012
Improving student performance for high-need student populations by improving the use of data in decision-making for early reading intervention programs in northwest Florida is the focus of this research to practice effort. The study is conceptually based on using a relational-feedback intervention (RFI) database model in early learning…
Descriptors: Early Intervention, Reading Instruction, Reading Programs, Data Collection
Wang, Jia; Wang, Haiwen – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2007
This study evaluates a large urban district's standards-based promotion policy decisions against a model-driven classification. Hierarchical logistic regression was used to explore factors related to grade retention at both the student and school level. Statistical results indicate that using students' next year achievement test scores as…
Descriptors: Grade Repetition, Urban Schools, Board of Education Policy, Decision Making
O'Reilly, Robert; Farland, Parnell – 1974
A model for educational supervisors which attempts to link management theory to learning is demonstrated. With teachers today having greater autonomy in selecting appropriate content and methods, supervisors should focus on two tasks: they should become more involved with teachers in selecting goals and become more adept in monitoring the…
Descriptors: Academic Achievement, Academic Aptitude, Achievement Tests, Administration