Schools and Data

The Educator′s Guide for Using Data to Improve Decision Making

Inbunden, Engelska, 2006

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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 ProfessorUniversity 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 workIntegrating applied technology, including Excel and SPSS softwareStrengthening educators′ data interpretation skillsBuilding strong skills in problem analysis, program evaluation, data-driven decision making, and report preparationIncreasing the focus on correlation and regressionPacked 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.

Produktinformation

Utgivningsdatum2006-09-06
Mått152 x 228 x 20 mm
Vikt420 g
FormatInbunden
SpråkEngelska
Antal sidor224
Upplaga2
FörlagSAGE Publications Inc
ISBN9781412937320

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Theodore B. Creighton is currently a Professor and Program Leader in the Department of Educational Leadership and Policy Studies at Virginia Tech. Prior to joining the faculty at Virginia Tech, he served as Director of the Center for Research and Doctoral Studies in Educational Leadership at Sam Houston State University and as a Professor in Educational Leadership at Idaho State University. His background includes teaching at all grade levels in Washington, D.C.; Cleveland, Ohio; and Los Angeles, California. His administrative experience includes serving as principal and superintendent in both Fresno and Kern Counties, California. He holds a BS degree in teacher education from Indiana University of Pennsylvania, a master′s degree in educational administration from California State University Long Beach, and a doctorate from the University of California Davis. Though active in many professional organizations, he devotes considerable time to his role as Executive Director of the National Council of Professors of Educational Administration. He also serves as a member of the National Policy Board for Educational Administration (NPBEA), and as a Stafford Faculty Fellow for the National Institute on Leadership, Disabilities and Students Placed at Risk (NILDSPAR). He recently was appointed as Project Director of the Connexions Knowledge Base Project, an international initiative in collaboration with Rice University charged with assembling the knowledge base in educational administration. His research includes examining the forces of the school principalship, and he is widely published in the area of schools with alternative forms of school leadership.

PrefaceAcknowledgmentsAbout the Authors1. The Role of Data Analysis in the Lives of School Leaders2. Getting Started3. Collecting and Organizing Data4. Correlation: My GRE Score Is Not Good Enough for Harvard!5. Introduction to Regression6. Formulating Research Questions and Comparison of Means7. The Independent-Samples t Test8. Analysis of Variance: The Difference Between Two or More Sample Means9. Analysis of Variance: Repeated Measures10. Two-Way Analysis of Variance: Two Independent Variables11. What If No Mean Scores? The Chi-Square Test for Goodness of Fit12. The Other “Q”13. Putting It All Together: An Evidence-Based Practice FieldResource A. Music CorrelationResource B. The t Distribution TableResource C. The F Distribution TableResource D. The Chi-Square Distribution TableResource E. Horizon High School DataReferencesIndex