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Meylani, Rusen; Bitter, Gary G.; Castaneda, Rene – Journal of Education and Learning, 2014
In this study regression and neural networks based methods are used to predict statewide high-stakes test results for middle school mathematics using the scores obtained from third party tests throughout the school year. Such prediction is of utmost significance for school districts to live up to the state's educational standards mandated by the…
Descriptors: Middle School Students, Mathematics, High Stakes Tests, Mathematics Tests
Elliott, Stephen N.; Kurz, Alexander; Tindal, Gerald; Yel, Nedim – Remedial and Special Education, 2017
We examined instructional processes in classrooms where students with and without disabilities received mathematics instruction to understand the relationship among key instructional process variables and achievement as measured by interim and end-of-year summative assessments. Teachers (N = 78) completed instructional logs daily and administered…
Descriptors: Mathematics Instruction, Mathematics Achievement, Summative Evaluation, Special Education
Dadey, Nathan; Briggs, Derek C. – Practical Assessment, Research & Evaluation, 2012
A vertical scale, in principle, provides a common metric across tests with differing difficulties (e.g., spanning multiple grades) so that statements of "absolute" growth can be made. This paper compares 16 states' 2007-2008 effect size growth trends on vertically scaled reading and math assessments across grades 3 to 8. Two patterns…
Descriptors: Meta Analysis, Scaling, Effect Size, Reading Tests
Lazarev, Valeriy; Newman, Denis; Sharp, Alyssa – Regional Educational Laboratory West, 2014
This study explored the relationships among the components of the Arizona Department of Education's new teacher evaluation model, with a particular focus on the extent to which ratings from the state model's teacher observation instrument differentiated higher and lower performance. The study used teacher-level evaluation data collected by the…
Descriptors: Teacher Evaluation, Observation, State Departments of Education, Correlation