USING THE EQUITY EXPLORER

 

Objectives

1. Loading and filtering data
2. Defining an Optimal Identification System
3. Filtering your identification rate by district and school
4. Filtering for missing data by group
5. Explaining the equity metrics
6. Using weights
7. Viewing and understanding the tabular output
8. Downloading a report
9. Modeling local norms (District versus school norms)
10. Understanding the "local norm tolerance" setting
11. Modeling multiple pathways
12. Understanding the "OR" combination rule

 

Learning Tasks

1. Watch Goal 4 Module 3 Part I Video
2. Watch Goal 4 Module 3 Part II Video
3. Watch Goal 4 Module 3 Part III Video
4. Watch Goal 4 Module 3 Part IV Video
5. Watch Goal 4 Module 3 Part V Video
6. Watch Goal 4 Module 3 Part VI Video (Coming soon!)
7. Read Goal 4 Module 3 Additional Resources (recommended)
8. Complete Goal 4 Knowledge Check Part A

GOAL 4 MODULE 3 PART I

Watch the following video on loading and filtering data within the Equity Explorer app, and defining an optimal identification system.

To follow along, you can access the Example App Datasets mentioned in the tutorials below.

 

 

GOAL 4 MODULE 3 PART II

Watch the following video on checking your identification rate by district and school level data, checking for missingness by group, and understanding the equity metrics.

 

 

GOAL 4 MODULE 3 PART III

Watch the following video on viewing and understanding the tabular output of the equity explorer and downloading a report.

 

 

GOAL 4 MODULE 3 PART IV

Watch the following video on modeling local norms and understanding the local norm tolerance settings.

 

GOAL 4 MODULE 3 PART V

Watch the following video on modeling multiple pathways and understanding the "OR" combination rule within the Equity Explorer. This also discusses how to download a report.

 

GOAL 4 MODULE 3 PART VI

Watch the following video on evaluating individual students who would be identified under each pathway and updates to reporting (Coming soon).

 

Goal 4 Module 3 Additional Resources

 

Goal 4 Knowledge Check Part A

You are required to complete the Goal 4 Knowledge Check Part A over organizing your dataset (2) and using the Equity Explorer (3) before moving on to Module 4.

 

NEXT STEPS

After completing this module, you'll proceed to Module 4: Reflecting on individual considerations of your identification system.

 

 

This work was supported by a grant from the U.S. Department of Education (award number S206A200007 – 21) as part of the Jacob K. Javits Gifted and Talented Students Education Program. The contributors to this site include Kiana Johnson, Lindsay Lee, Matt Makel, Matthew McBee, Betsy McCoach, Scott Peters, & Tamra Stambaugh.