Full Description
Praise for the First Edition:
"Creighton's descriptions of the applicability and helpfulness of statistics for educators is especially strong. His use of plain language and school-based examples is crucial."
-Scott McLeod, Assistant Professor
University of Cincinnati
Improve instructional leadership practice with proven, easy-to-understand strategies for data-based decision making!
Since the first edition of Schools and Data, the No Child Left Behind Act has swept the country, and data-based decision making is no longer an option for educators. Today's educational climate makes it imperative for all schools to collect data and use statistical analysis to help create clear goals and recognize strategies for improvement.
Schools and Data, Second Edition, focuses on the relevance of statistics in the lives of principals and teachers. Real-life examples and step-by-step procedures for collecting and organizing data provide every school leader with the means to facilitate more appropriate and effective decision making. With a highly practical method for statistical analysis, this comprehensive yet reader-friendly new edition places special emphasis on:
Connecting statistics and educators' daily work
Integrating applied technology, including Excel and SPSS software
Strengthening educators' data interpretation skills
Building strong skills in problem analysis, program evaluation, data-driven decision making, and report preparation
Increasing the focus on correlation and regression
Packed with easy-to-follow instructions, illustrations, and real-world examples that educators can readily understand, this is an essential resource for school leaders who want to create meaningful, data-driven decisions!
*Note: The author created web site that provides information and activities paralleling the individual chapters of the second education of Schools and Data text is NO LONGER AVAILABLE.
Contents
Preface
Acknowledgments
About the Authors
1. The Role of Data Analysis in the Lives of School Leaders
2. Getting Started
3. Collecting and Organizing Data
4. Correlation: My GRE Score Is Not Good Enough for Harvard!
5. Introduction to Regression
6. Formulating Research Questions and Comparison of Means
7. The Independent-Samples t Test
8. Analysis of Variance: The Difference Between Two or More Sample Means
9. Analysis of Variance: Repeated Measures
10. Two-Way Analysis of Variance: Two Independent Variables
11. What If No Mean Scores? The Chi-Square Test for Goodness of Fit
12. The Other "Q"
13. Putting It All Together: An Evidence-Based Practice Field
Resource A. Music Correlation
Resource B. The t Distribution Table
Resource C. The F Distribution Table
Resource D. The Chi-Square Distribution Table
Resource E. Horizon High School Data
References
Index
