Statistics Made Simple for School Leaders: Data-Driven Decision Making

by Susan Rovezzi Carroll, David J. Carroll

Overview

The chief executive officer of a corporation is not much different from a public school administrator. While CEOs base many of their decisions on data, for school administrators, this type of research may conjure up miserable memories of searching for information to meet a graduate school requirement. However, the value of data-based decision making will continue to escalate and the school community—students, teachers, parents and the general public—expect this information to come from their administrators. Administrators are called on to be accountable, but few are capable of presenting the mountain of data that they collect in a cohesive and strategic manner. Most statistical books are focused on statistical theory versus application, but Statistics Made Simple for School Leaders presents statistics in a simple, practical, conceptual, and immediately applicable manner. It enables administrators to take their data and manage it into strategic information so the results can be used for action plans that benefit the school system. The approach is 'user friendly' and leaves the reader with a confident can-do attitude to communicate results and plans to staff and the community.

Product Details

ISBN-13:	9781461654193
Publisher:	R&L Education
Publication date:	10/16/2002
Sold by:	Barnes & Noble
Format:	eBook
Pages:	160
File size:	3 MB

About the Author

Susan Rovezzi Carroll is president of Words&Numbers Research, a Connecticut marketing research firm that she founded in 1984 and provides customized information upon which corporations, school systems, hospitals, and other institutions can base strategic decisions. David J. Carroll is vice president of Words&Numbers and provides expert help to school systems in program evaluation and strategic planning.

Table of Contents

Chapter 1 Foreword
Chapter 2 Introduction: Data Rich and Information Poor - The Transition
Chapter 3 1 The Value of Getting Intimate with Your Data
Chapter 4 2 Every Picture Tells a Story
Chapter 5 3 Don't Be Seduced by the Mean
Chapter 6 4 Telling the Whole Story: Variability
Chapter 7 5 Samples Save Time
Chapter 8 6 Statistical Significance: Much Ado About Nothing?
Chapter 9 7 Testing Your Hunch About Differences: T-Tests
Chapter 10 8 Testing Your Hunch About Differences: ANOVA
Chapter 11 9 Testing Your Hunch About Distributions: Chi Square Analyses
Chapter 12 10 Testing Your Hunch About Relationships: Correlation
Chapter 13 11 Telling Your Story: Reporting Results
Chapter 14 Index
Chapter 15 About the Authors