Disaggregates
About Disaggregates
The E-W Framework recommends 26 characteristics that E-W systems should use to disaggregate data, along with guidance for how best to collect that information. Breaking down data on both student outcomes and system conditions can help decision makers assess disparities, expose hidden trends, and make informed decisions that lead to greater equity.
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Generate Packet 0 filter(s) selectedDownload the Disaggregates chapter for details on the 25 characteristics, why they matter, and recommendations for measuring them. Download the Data Equity Principles chapter to explore how data disaggregation can help advance equitable outcomes.
18 Disaggregates
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Sectors
- Pre-K
- K-12
- Postsecondary
- Workforce
Sectors
- Pre-K
- K-12
- Postsecondary
- Workforce
Sectors
- K-12
- Postsecondary
- Workforce
Sectors
- Pre-K
- K-12
- Postsecondary
- Workforce
Sectors
- Pre-K
- K-12
- Postsecondary
- Workforce
Sectors
- Pre-K
- K-12
- Postsecondary
- Workforce
Sectors
- K-12
- Postsecondary
Sectors
- Pre-K
- K-12
Sectors
- Pre-K
- K-12
- Postsecondary
- Workforce
Sectors
- Pre-K
- K-12
- Postsecondary
- Workforce
Sectors
- Pre-K
- K-12
- Postsecondary
Sectors
- K-12
Sectors
- Pre-K
- K-12
- Postsecondary
- Workforce
Sectors
- Pre-K
- K-12
- Postsecondary
- Workforce
Sectors
- Pre-K
- K-12
- Postsecondary
- Workforce
Sectors
- Pre-K
- K-12
- Postsecondary
- Workforce
Sectors
- Pre-K
- K-12
- Postsecondary
Sectors
- K-12
- Postsecondary
- Workforce