Schools and Data: The Educator's Guide for Using Data to Improve Decision Making(Corwin Press Inc)


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Schools and Data: The Educator's Guide for Using Data to Improve Decision Making

(Tiparita)
2006

Theodore Creighton

Schools and Data: The Educator's Guide for Using Data to Improve Decision Making
ISBN: 9781412937337 Editura:

Corwin Press Inc

'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 Since the first edition of Schools and Data, 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!

Limba Engleza
Cuprins 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 
Data Publicarii 17 August 06 
Editie 2 Rev ed 
Format Paperback 
Paginare 224 

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