Featured Instructional Improvement System Resource

Featured Educational Interventions Forum Papers
- Dynamic Intervention Systems: Integrating Research and Management to Support Learning in Standards-Based Education

- Research as a Reality Check on Intervention Investments

- Seeing Both the Forest and the Trees

Articles and Reports
- Arizona Elementary School Achieves Success in Record Time

- Assessing the Relative Fit of Alternative Item Response Theory Models to the Data

- Benchmark Assessment Development in Galileo Educational Management System

- Benchmark Assessment in Standards-Based Education

- Building Reliable and Valid Benchmark Assessments

- Dynamic Intervention Systems: Integrating Research and Management to Support Learning in Standards-Based Education

- Education Research Brief: Galileo and Interim Assessment

- Forecasting Statewide Test Performance and Adequate Yearly Progress from District Assessments

- Galileo Instructional Data System Pilot Project Evaluation

- Galileo K-12 Online Educational Management System

- Meeting Local, State, and Federal Instructional Improvement System Requirements. A Resource Document for LEAs: Illustrated through the Galileo K-12 Online Instructional Improvement System

- Projecting Risk and Identifying Intervention Groups

- Pueblo, CO: Moving Towards International Standards of Success for All

- Research as a Reality Check on Intervention Investments

- Seeing Both the Forest and the Trees

- Selecting an Instructional Improvement System

- Standards Mastery Determined by Benchmark and Statewide Test Performance
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Academic Research & Additional Resources
- Bergan, J.R., Sladeczek, I.E., Schwarz, R.D., & Smith, A.N. (1991). Effects of a measurement and planning system on cognitive development and educational programming for kindergarten children. American Educational Research Journal.
- Hambleton, R.K. (1985). (Ed.) Applications of item response theory. Vancouver, B.C.: Educational Research Institute of British Columbia. (Original work published 1983).
- Koenker, Roger (2005). Quantile Regression. Cambridge, Massachussetts: Cambridge University Press.
- Thissen, D. & Wainer, H. (2001). Test scoring. New Jersey: Lawrence Erlbaum Associates.
