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9781462543069 Add to Cart Academic Inspection Copy

The Data-Driven School

Collaborating to Improve Student Outcomes
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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 with lay-flat binding for easy photocopying, the book includes learning activities and helpful reproducible forms. Purchasers can download and print the reproducible forms, as well as access Excel spreadsheets and PowerPoint slides related to the book, at the companion website. 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
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