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What Does Your School Data Team Sound Like?

What Does Your School Data Team Sound Like?
A Framework to Improve the Conversation Around Data

July 2018 | 160 pages | Corwin

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. 

Chapter 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?  
Ok, Let’s Change the Lens!  
Chapter 2 What Should Your Data Team Look Like?
Mixed vs. Non-Mixed Data Teams  
Mixed Level Data Team  
Who Does the Data Team Report to?  
Establishing a Shared Vision  
Goals of the Data Team  
What are the role and responsibilities of each team member?  
How will meetings be facilitated?  
Preparation, the Key to Success!  
Chapter 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  
Chapter 4: How to Know What Works
What Works, Anyway?  
What are Improvement Cycles  
How do Researchers Determine What Works?  
Pre-Post One Group Design  
Chapter 5 Following the Steps in the Exploratory and Confirmatory Cycles
Exploratory Cycle: Step 1 Examining Data  
Step 2: Asking Questions  
Step 3: DAT Conversation—Asking the Right Questions  
Types of Questions  
Step 4: Examine More Data  
Step 5: Refine Questions or Move to Confirmatory Model  
Confirmatory Cycle: Step 1 Establishing Baseline Data  
Step 2: Implement Improvement Plan  
Step 3: Formative Data (mini-feedback cycle)  
Step 4: Final Outcome Data  
Step 5: Expand to Other Locations  
Chapter 6: More Ways to Examine Data
Using Different Variables to Sort Data
Graphing Data  
Types of Graphs  
Line Graphs  
Creating a Line Graph  
Understanding the X Y Axis  
Line Graph for Baseline Data  
Working with Unstable Baseline Data  
Bar Graphs  
Pie Charts  
Chapter 7 Collecting Formative Data
The Role of Formative Data in the Confirmatory Cycle  
The Observational Protocol  
The Observational Checklist  
Reliability of Observational Data  
Tips for Conducting Observations  
Using Classroom Observations as Formative Data  
Survey Tools as Formative Data  
Basic Skills in Survey Development  
Other Type of Scales  
Pilot the Survey  
Collection of Survey Data in School Settings  
Chapter 8 Adding Parents to Your DAT
Include Parents, Not Exclude Them  
Parent Validity  
Chapter 9: Continuing the Conversation Surrounding Student Data
Looking at Individual Items  
Adding Other Variables to the Conversation  
Look at District Level Data  
Chapter 10: Scaling Up Data
When to Expand to Other Locations: the Scaling Up Process  
A Model for Scaling Up: Patterns in the Data  
Use Capacity to Scale Up  
Tips for Scaling Up and Collecting Data  

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ISBN: 9781506390925

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