Statistics Made Simple for School Leaders: Data-Driven Decision Making / Edition 1 available in Paperback
The chief executive officer of a corporation is not much different from a public school administrator. While CE's 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.
|Edition description:||New Edition|
|Product dimensions:||9.00(w) x 6.10(h) x 0.50(d)|
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