Data Analysis for Continuous School Improvement

Front Cover
Routledge, Oct 15, 2013 - Education - 432 pages

Data Analysis for Continuous School Improvement, Third Edition, is a call to action. It is about inspiring schools and school districts to commit to continuous school improvement by providing a framework that will result in improving teaching for every teacher, and learning for every student, through the comprehensive use of data. It provides a new definition of improvement, away from a singular focus on compliance, toward a true commitment to excellence. This Third Edition is the culmination of over 25 years of doing the hard work in schools and districts, both nationally and internationally, to analyze, report, communicate, and use multiple measures of data for continuous school improvement. This book provides new and very specific tools, timelines, and strategies that will help schools and districts become true learning organizations.

 

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Contents

USING DATA
THE CONTINUOUS SCHOOL IMPROVEMENT
DEMOGRAPHICS DATA
What They Are and Why They Are Important
Changing Perceptions
What They Are and Why They
Why Knowing if What We Are Doing is Making a Difference
An Example Evaluation of School Goals
PERCEPTIONS DATA INVENTORY
PERCEPTIONS DATA INVENTORY
ADMINISTERING QUESTIONNAIRES
ANALYZING QUESTIONNAIRE
ANALYZING OPENENDED RESPONSES
CREATING PARTNERSHIPS
EXAMINING STUDENT WORK
TIMELINE FOR CONTINUOUS SCHOOL

THE TRANSFORMATION FROM A COMPLYING
CONTINUOUS IMPROVEMENT
DEMOGRAPHIC DATA INVENTORY
REFERENCES AND RESOURCES
INDEX
Copyright

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About the author (2013)

Victoria L. Bernhardt, Ph.D., is Executive Director of the Education for the Future Initiative and is Professor (currently on leave) in the College of Communication and Education at California State University, Chico, USA. She is the author of over 19 books.

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