Data-Driven Decisions and School Leadership: Best Practices for School Improvement
Language: English
Published by Pearson, 2007
- Softcover
- Used

Seller: ThriftBooks-Dallas, Dallas, TX, U.S.A.ThriftBooks-Dallas
AbeBooks seller since July 2, 2009
Condition: Used - Good
US$ 37.58
Quantity: 1 available
Add to basketItem description from seller
Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Seller Inventory # G0205496687I3N10
- Title
- Data-Driven Decisions and School Leadership: Best Practices for School Improvement
- Author
- Kowalski, Theodore; Lasley, Thomas; Mahoney, James
- Publisher
- Pearson
- Publication year
- 2007
- Condition
- Good
- Dust jacket
- No Jacket
- Binding
- Paperback
- Language
- English
- ISBN 10
- 0205496687
- ISBN 13
- 9780205496686
- Item weight
- 1.18 pounds
The book provides a unique contribution to the literature in this field in that the studies of decision theory and data-based decision making are integrated. Focusing on educators assuming leadership roles in school improvement, the book’s content is equally relevant for administrators, supervisors, and teachers.
The book, however, is centered on data-driven decision making, both as a requirement of the No Child Left Behind Act and as a normative professional standard. Issues related to accumulating, storing, and protecting data in districts and schools also are covered. Applications in administration, supervision, and teaching are demonstrated.
"Synopsis" may belong to another edition of this title.
From the Back Cover
Data Driven Decisions and School Leadership, 1/e
Theodore J. Kowalski, University of Dayton
Thomas J. Lasley II, University of Dayton
James W. Mahoney, Battelle for Kids
ISBN-10: 0205496687
This book integrates theory and practice in decision making, with specific focus on data-driven decision making. Applications are demonstrated in the contexts of administration, supervision, and teaching.
The book provides a unique contribution to the literature in this field in that the studies of decision theory and data-based decision making are integrated. Focusing on educators assuming leadership roles in school improvement, the book’s content is equally relevant for administrators, supervisors, and teachers.
The book, however, is centered on data-driven decision making, both as a requirement of the No Child Left Behind Act and as a normative professional standard. Issues related to accumulating, storing, and protecting data in districts and schools also are covered. Applications in administration, supervision, and teaching are demonstrated.
Unique features of this book:
- Integrates decision theory with data-based decision making so readers will understand the rationale and methodology for making responsible decisions.
- Numerous examples and applications relative to school leadership, supervision, and teaching provide a broad frame of reference.
- Case studies are used to strengthen concepts, essential knowledge, and practice skills.
- Discussion/assignment questions pertaining both to the case studies and content are included at the end of each chapter.
Here’s what your colleagues are saying about this book:
“The idea for this book is excellent and needed in the field … Leaders and practitioners need to know how to collect, analyze, and use data to help inform good decision-making practice. The idea of learning about good decision making and using data to make decisions would work in a variety of courses.”
-Mary McCullough, Loyola Marymount University
“Case studies are realistic and multi-dimensional in scope, indicating no simple, clear-cut solution, which is how school administration functions. [These] case studies would provide an uneasiness in students, which would impel them to read the chapter in order to discover not the solution to the problem, but how to reach a solution.”
-Kathy Peca, Eastern New Mexico University
"About the title" may belong to another edition of this title.
ThriftBooks-Dallas
Dallas, TX, U.S.A.
AbeBooks seller since July 2, 2009
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