Tools and Techniques for Effective Data-Driven Decision Making

Philip A. Streifer is associate professor of educational leadership at the NEAG School of Education, University of Connecticut, where he directs and teachers UCONN's Executive Leadership Program for superintendency preparation and certification. He is also program coordinator for the school's educational administration programs. His research interest is in how educational organizations improve in a data-driven rich environment, and he has spoken and published on this topic nationally. He has served as superintendent of schools in Avon, CT and Barrington, RI before joining the University of Connecticut and has held building and district level leadership positions in several Connecticut and Rhode Island school districts. Streifer is the author of Using Data to Make Better Educational Decisions (ScarecrowEducation, 2002), and is also President of his own firm, EDsmart, Inc. that provides information technologies to schools nationally.

• Chapter 1 1. New Literacies Required for Data-Driven Decision MakingChapter 2 2. Data-Driven Decision Making – Where Are We Today? State of the TechnologyChapter 3 3. A Framework for Analyzing Your QuestionsChapter 4 4. Finding Root Causes of Acheivement – Can We Know?Chapter 5 5. Case Studies/ExamplesChapter 6 6. Welcome to the Test-Driven Accountability EraChapter 7 7. The Softer Side of LeadershipChapter 8 IndexChapter 9 About the Authors