What Does Your School Data Team Sound Like?

A Framework to Improve the Conversation Around Data
First Edition
Dean T. Spaulding - College of Saint Rose, Albany, NY
Gail M. Smith - Instructional Leadership/Instructional Coaches project
What Does Your School Data Team Sound Like?
July 2018 | 176 pages | Corwin
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eBook
ISBN: 9781506390918
Available from January 0001
Paperback
ISBN: 9781506390925
Available from January 0001

Description

Get your data team working effectively! 

Data is a valuable resource for improving education. Unfortunately, many school teams struggle to make sense of new and often overwhelming data. What Does Your Data Team Sound Like? provides an approach that supports teams as they review a range of data sets, and improves their conversation about effectively applying data to instructional decision-making. Written to help teams navigate the world of data analysis for on-going school improvement, this book offers an easy to follow framework that dives deep into data-driven instruction. Readers will find: 

  • Easy, step-by-step analysis techniques  
  • Case studies that demonstrate different approaches 
  • Checklists and flowcharts to help visual the process 

Developed by expert authors who have worked with data teams across a wide variety of settings and scenarios, this book will help educators take action to create better learning environments for students. 

Contents

Preface

Preface

Acknowledgments

Acknowledgments

About the Authors

  • 1. Changing the Lens With the Data Analysis Team (DAT)
  • Is Data the New Four-Letter Word?
  • Changing the Lens for How We View Data
  • Where Did All This Data Come From?
  • Okay, Let’s Change the Lens!
  • Summary
  • 2. What Should Your Data Team Look Like?
  • Mixed Versus Nonmixed Data Teams
  • Goals of the Data Team
  • What Are the Roles and Responsibilities of Each Team Member?
  • How Will Meetings Be Facilitated?
  • Preparation, the Key to Success
  • Activities
  • Summary
  • 3. Getting Over the Fear of Data
  • Fear of Data
  • What Is a Data Set?
  • What Is a Database?
  • Archival Data
  • Setting Up a Database
  • Entering Data Correctly in a Cell
  • Levels of Data
  • Assessment Data
  • Levels of Accountability
  • Activities
  • Summary
  • 4. How to Know What Works
  • What Works, Anyway?
  • What Are Improvement Cycles?
  • How Do Researchers Determine What Works?
  • Pre-Post One Group Design
  • Summary
  • 5. Following the Steps in the Exploratory and Confirmatory Cycles
  • Exploratory Cycle
  • Confirmatory Cycle
  • Summary
  • 6. More Ways to Examine Data
  • Using Different Variables to Sort Data
  • Graphing Data
  • Types of Graphs
  • Activity
  • Summary
  • 7. Collecting Formative Data
  • The Role of Formative Data in the Confirmatory Cycle
  • Using Classroom Observations as Formative Data
  • Reliability of Observational Data
  • Tips for Conducting Observations
  • Using Surveys as Formative Data
  • Piloting the Survey
  • Collecting Survey Data in School Settings
  • Activity
  • Summary
  • 8. Adding Parents to Your DAT
  • Include Parents, Rather Than Exclude Them
  • Parent Validity
  • Activities
  • Summary
  • 9. Continuing the Conversation Surrounding Student Data
  • Looking at Individual Items
  • Adding Other Variables to the Conversation
  • Looking at District Level Data
  • Summary
  • 10. Scaling Up Data
  • When to Expand to Other Locations
  • A Model for Scaling Up: Patterns in the Data
  • Using Capacity to Scale Up
  • Summary

Epilogue

Epilogue

References

References

Index

Index

Description

Get your data team working effectively! 

Data is a valuable resource for improving education. Unfortunately, many school teams struggle to make sense of new and often overwhelming data. What Does Your Data Team Sound Like? provides an approach that supports teams as they review a range of data sets, and improves their conversation about effectively applying data to instructional decision-making. Written to help teams navigate the world of data analysis for on-going school improvement, this book offers an easy to follow framework that dives deep into data-driven instruction. Readers will find: 

  • Easy, step-by-step analysis techniques  
  • Case studies that demonstrate different approaches 
  • Checklists and flowcharts to help visual the process 

Developed by expert authors who have worked with data teams across a wide variety of settings and scenarios, this book will help educators take action to create better learning environments for students. 

Contents

Preface

Preface

Acknowledgments

Acknowledgments

About the Authors

  • 1. Changing the Lens With the Data Analysis Team (DAT)
  • Is Data the New Four-Letter Word?
  • Changing the Lens for How We View Data
  • Where Did All This Data Come From?
  • Okay, Let’s Change the Lens!
  • Summary
  • 2. What Should Your Data Team Look Like?
  • Mixed Versus Nonmixed Data Teams
  • Goals of the Data Team
  • What Are the Roles and Responsibilities of Each Team Member?
  • How Will Meetings Be Facilitated?
  • Preparation, the Key to Success
  • Activities
  • Summary
  • 3. Getting Over the Fear of Data
  • Fear of Data
  • What Is a Data Set?
  • What Is a Database?
  • Archival Data
  • Setting Up a Database
  • Entering Data Correctly in a Cell
  • Levels of Data
  • Assessment Data
  • Levels of Accountability
  • Activities
  • Summary
  • 4. How to Know What Works
  • What Works, Anyway?
  • What Are Improvement Cycles?
  • How Do Researchers Determine What Works?
  • Pre-Post One Group Design
  • Summary
  • 5. Following the Steps in the Exploratory and Confirmatory Cycles
  • Exploratory Cycle
  • Confirmatory Cycle
  • Summary
  • 6. More Ways to Examine Data
  • Using Different Variables to Sort Data
  • Graphing Data
  • Types of Graphs
  • Activity
  • Summary
  • 7. Collecting Formative Data
  • The Role of Formative Data in the Confirmatory Cycle
  • Using Classroom Observations as Formative Data
  • Reliability of Observational Data
  • Tips for Conducting Observations
  • Using Surveys as Formative Data
  • Piloting the Survey
  • Collecting Survey Data in School Settings
  • Activity
  • Summary
  • 8. Adding Parents to Your DAT
  • Include Parents, Rather Than Exclude Them
  • Parent Validity
  • Activities
  • Summary
  • 9. Continuing the Conversation Surrounding Student Data
  • Looking at Individual Items
  • Adding Other Variables to the Conversation
  • Looking at District Level Data
  • Summary
  • 10. Scaling Up Data
  • When to Expand to Other Locations
  • A Model for Scaling Up: Patterns in the Data
  • Using Capacity to Scale Up
  • Summary

Epilogue

Epilogue

References

References

Index

Index

SAGE Publishing Logo

What Does Your School Data Team Sound Like?

A Framework to Improve the Conversation Around Data


July 2018 | 176 pages | Corwin

Format Published Date ISBN Price
Paperback 28/04/2023 9781506390925 $39.95
Lifetime 28/04/2023 9781506390918 $36.00

Get your data team working effectively! 

Data is a valuable resource for improving education. Unfortunately, many school teams struggle to make sense of new and often overwhelming data. What Does Your Data Team Sound Like? provides an approach that supports teams as they review a range of data sets, and improves their conversation about effectively applying data to instructional decision-making. Written to help teams navigate the world of data analysis for on-going school improvement, this book offers an easy to follow framework that dives deep into data-driven instruction. Readers will find: 

  • Easy, step-by-step analysis techniques  
  • Case studies that demonstrate different approaches 
  • Checklists and flowcharts to help visual the process 

Developed by expert authors who have worked with data teams across a wide variety of settings and scenarios, this book will help educators take action to create better learning environments for students. 


Table Of Contents:

  • Preface
  • Acknowledgments
  • About the Authors
  • 1. Changing the Lens With the Data Analysis Team (DAT)
  • Is Data the New Four-Letter Word?
  • Changing the Lens for How We View Data
  • Where Did All This Data Come From?
  • Okay, Let’s Change the Lens!
  • Summary
  • 2. What Should Your Data Team Look Like?
  • Mixed Versus Nonmixed Data Teams
  • Goals of the Data Team
  • What Are the Roles and Responsibilities of Each Team Member?
  • How Will Meetings Be Facilitated?
  • Preparation, the Key to Success
  • Activities
  • Summary
  • 3. Getting Over the Fear of Data
  • Fear of Data
  • What Is a Data Set?
  • What Is a Database?
  • Archival Data
  • Setting Up a Database
  • Entering Data Correctly in a Cell
  • Levels of Data
  • Assessment Data
  • Levels of Accountability
  • Activities
  • Summary
  • 4. How to Know What Works
  • What Works, Anyway?
  • What Are Improvement Cycles?
  • How Do Researchers Determine What Works?
  • Pre-Post One Group Design
  • Summary
  • 5. Following the Steps in the Exploratory and Confirmatory Cycles
  • Exploratory Cycle
  • Confirmatory Cycle
  • Summary
  • 6. More Ways to Examine Data
  • Using Different Variables to Sort Data
  • Graphing Data
  • Types of Graphs
  • Activity
  • Summary
  • 7. Collecting Formative Data
  • The Role of Formative Data in the Confirmatory Cycle
  • Using Classroom Observations as Formative Data
  • Reliability of Observational Data
  • Tips for Conducting Observations
  • Using Surveys as Formative Data
  • Piloting the Survey
  • Collecting Survey Data in School Settings
  • Activity
  • Summary
  • 8. Adding Parents to Your DAT
  • Include Parents, Rather Than Exclude Them
  • Parent Validity
  • Activities
  • Summary
  • 9. Continuing the Conversation Surrounding Student Data
  • Looking at Individual Items
  • Adding Other Variables to the Conversation
  • Looking at District Level Data
  • Summary
  • 10. Scaling Up Data
  • When to Expand to Other Locations
  • A Model for Scaling Up: Patterns in the Data
  • Using Capacity to Scale Up
  • Summary
  • Epilogue
  • References
  • Index

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