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.