John Hollingsworth is president of DataWORKS Educational Research, a company that uses real data to improve student achievement. In addition to his work at DataWORKS training teachers and administrators throughout the U.S., Hollingsworth is an active researcher and presenter who has published numerous articles in educational magazines and coauthored Multiple Measures: Accurate Ways to Assess Student Achievement (Corwin Press 2000). Silvia Ybarra began her career in education as a physics and chemistry teacher at Roosevelt High School in Fresno, California. She next became principal of Wilson Middle School in Exeter, California, which under her leadership became a prestigious Blue Ribbon school. Ybarra was then named assistant superintendent of Coalinga-Huron School District. Her focus progressed from helping one classroom to helping one school to helping an entire district. Ybarra cofounded DataWORKS Educational Research to improve learning for low-income and minority children. She also co-authored Multiple Measures: Accurate Ways to Assess Student Achievement (Corwin Press 2000) with her husband, John Hollingsworth.
During the evolution of education reform in the nineties, school districts across the United States have struggled to comply with federal requirements. In response to the increasing need for data gathering, disaggregation, and analysis, the authors have compiled a pragmatic guide to developing standards-based accountability systems using multiple measures to evaluate the effectiveness of the compensatory education programs. Step-by-step explanations, examples, data, and tips on implementation are included. This book is a synthesis and an expansion of the handouts, reports, graphs and charts, and communiques related to the authors' work with 130 school districts. All tables and examples used in the book are derived from real data collected from real schools in these districts.
Introduction A Multiple Measure Imperative Testing General Information Testing Reliability, Validity and Fairness How to Combine Multiple Measures Multiple Measures and Special Populations Multiple Measures and Standards Data-Driven School Improvement