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The Data Guidebook for Teachers and Leaders

The Data Guidebook for Teachers and Leaders
Tools for Continuous Improvement

February 2006 | 112 pages | Corwin

Collect multiple forms of data and connect data to improved student achievement!

Are you looking for new ways to use data in the decision-making process? Are you seeking tools that provide better flow-through from data to improved student achievement? Have you ever considered including students in the data-to-improvement cycle? Schools recognize that data is an essential decision-making tool, but it requires teamwork and reflection to reap the maximum benefits. This guidebook offers practical collection and analysis methods and templates as well as tips for building trust and working together. 

The Data Guidebook for Teachers and Leaders accentuates the importance of data collection of multiple types, not just from standardized tests, and analysis within any educational setting. In addition to addressing the practical aspects of data usage, the author presents innovative ideas for

  • Introducing students to the data analysis cycle
  • Helping students learn how data impacts student achievement
  • Sharing day-to-day data within departments and schools to improve weekly test scores
  • Making data and results accessible to all team members

Data becomes a dynamic tool for change when you learn how to incorporate it into your continuous improvement process.

List of Figures
About the Author
1. Data-Based Decision Making and the Improvement Process
What Do the Experts Say?

The Process

The Improvement Cycle

Closing Thoughts

2. Data Collection
What Should Be Collected?

Creating a Balance

Must-Have Data

Tools: The Three “T’s”

Closing Thoughts

3. Delving Into the Data
Getting a Closer Look at Data

Defining a Purpose

Creating an Atmosphere of Acceptance

Planning and Implementing the Data Delve

Closing Thoughts

4. Standardized and State Test Data
Reporting Data

Comparing Response Types

Item Analysis

Promoting Analysis and Discussion

Closing Thoughts

5. Using District Assessments
District Assessments

Collecting the Data

Why Collect and Share?

Closing Thoughts

6. Rubrics: Data Use and Organization
Gaining a Common Understanding: Holistic and Analytical Rubrics

Gathering Individual Student Data From Rubrics

Reporting Results

Communicating With Students

Evaluating Group Data From Rubrics

Closing Thoughts

7. Classroom Assessment Data
The Purpose of Collection

Grade Book Highlighting

Item Analysis

Classroom Disaggregations

Rubric Results

A Systematic View of Classroom Analysis

Daily Reflection

Closing Thoughts

8. Students and Data


Charts and Graphs

Closing Thoughts

9. Experiencing Success
Generate Interest

Make Data a Habit

Involve Others

Promote the Cycle

Create an Expectation

Expect Change

Provide Support

Celebrate Success


"At last, a book on data that both teachers and administrators can use to improve student achievement. Her text and user-friendly forms guide veterans and novices through a process that makes data an integral part of teaching and learning."

Kay Burke
Author/ Consultant

"This book is full of examples and tools to enhance the use of data within classrooms, schools, and school districts, and can be used by individuals and groups who work within an educational setting, and would like to know more about data and its connection to continuous school improvement."

From the Preface

"Portraying data review as collegial conversation in school teams, Depka provides discussion starters, reflective worksheets, follow-up plans and graphics to guide the team's dialogue."

Ronald S. Thomas, Associate Director
Center for Leadership in Education, Towson University, Baltimore, Maryland

"Offers a straightforward approach that requires very little statistical experience on the part of the reader. Will be invaluable for educators who are looking for a resource as they 'delve into their own data.'"

Principal Navigator, September 2006

Did not provide the depth of knowledge needed to fulfill course objectives

Dr Becky Guffin
School Of Education, Northern State University
November 30, 2011
Key features

·         Connects to NCLB

·         Easy-to-use templates and completed examples

·         Provides process and questions for introducing and examining data

·         Oriented toward student improvement

·         Emphasizes the practical tools needed at the entry level of data analysis for identifying performance gaps, and setting instructional priorities

·         Offers the on-the-ground practical application of theory

·         Inviting examples for new teachers and administrators

·         Fills a special niche in the hot data market


For instructors

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