Data Analysis for Continuous School Improvement » (2nd Edition)

Victoria L. Bernhardt, Ph.D., celebrated author of six highly praised books, is Executive Director of the Education for the Future Initiative and Professor at California State University, Chico. Dr. Bernhardt conducts workshops on data analysis and student achievement at local, regional, state, national, and international levels. To visit Victoria Bernhardt's website, click here "It has become more important than ever before to document school improvement. Victoria Bernhardt shows us how to gather, analyze, and use data and she does it in a friendly and understandable way." - Joy Rose, Principal Westerville South High School, OH

"Data Analysis for Continuous School Improvement" (First Edition, 1998, Second Edition, 2004)
What separates successful schools from those that will not be successful in their reform efforts is the use of one, often neglected, essential element-data. With clear and concrete examples from both elementary and secondary schools, "Data Analysis for Continuous School Improvement" shows what data to gather and how to use data to improve all aspects of schools. "Data Analysis" enables you to find out where you are, where you want to be, and how to get there-sensibly, painlessly, and effectively.

Schools are powerful organizations. Every day, across the United States, schools are impacting the lives of millions of children and the future of our very existence. Schools become even more powerfully efficient and effective when data play an active role in their operations.

The purposes of this book are to update the original "Data Analysis for Comprehensive Schoolwide Improvement" book with new and improved strategies and knowledge, and to clarify:
 why data are important and what data to gather
 how data-gathered, analyzed, and properly used-can make a difference in meeting the needs of every student in the school
 how to communicate and report data results
 the data analyses required to meet "No Child Left Behind" (NCLB) legislation