The Data-Driven School

This indispensable practitioner's guide helps to build the capacity of school psychologists, administrators, and teachers to use data in collaborative decision making. It presents an applied, step-by-step approach for creating and running effective data teams within a problem-solving framework. The authors describe innovative ways to improve academic and behavioral outcomes at the individual, class, grade, school, and district levels. Applications of readily available technology tools are highlighted. In a large-size format for easy photocopying, the book includes learning activities and helpful reproducible forms. The companion website provides downloadable copies of the reproducible forms as well as Excel spreadsheets, PowerPoint slides, and an online-only chapter on characteristics of effective teams.

This book is in The Guilford Practical Intervention in the Schools Series, edited by Sandra M. Chafouleas.

Introduction
I. The Engine for a Data-Driven School: Systems-Level Problem Solving
1. The Rationale and Context for a Data-Driven School
2. Systems-Level Problem Identification
3. Systems-Level Problem Analysis
4. Systems-Level Plan Development, Plan Implementation, and Plan Evaluation
II. The Roadmap for a Data-Driven School: Data-Analysis Teaming across Multiple Levels
5. Data-Driven Problem Solving at the Grade, Classroom, and Student Levels: Initial Considerations
6. Implementing Data Teaming at the School and Grade Level for Academic Skills
7. Implementing Data Teaming at the School and Grade Level for Behavior and Social–Emotional Skills
III. Building the Capacity for a Data-Driven School
8. Data Management Using Technology
9. Developing Data Leaders
Appendix 1. Identifying Gaps in Your Comprehensive Assessment System
Appendix 2. Case Example: Setting Your Own Target Scores
Appendix 3. Data Activity
References
Index