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Early Education

New Doubly and Triply Disaggregated Data Available at District and Campus Levels


At Commit!, we promote the disaggregation of data—by race, gender, language, and economics—to identify key disparities and opportunities for the Dallas County educational community to address. Our recent STAAR (state assessment) analyses focused on one dimensional student achievement data, e.g., achievement of economically disadvantaged students or Hispanic students or LEP students in reading, math and other state exams.

But recently, thanks to the TEA, we have gained access to doubly and triply disaggregated data. We can now see, for example, how economically disadvantaged, Hispanic boys are performing on STAAR assessments—and how performance of African American girls has varied across campuses over time.

This is a big win. The community can now research and learn from campuses who are outperforming other campuses with high-need populations. What are those campuses doing? Can some of those practices be replicated? Additionally, where does the data say that critical needs exist for us to investigate further with our partners to understand and address.

Below is a sample data that can be used to identify those outlier campuses. Be on the lookout for our Bright Spots blog series to learn more about what we’re doing with doubly and triply disaggregated data—and please feel free to contact Ashwina Kirpalani at Ashwina.Kirpalani@commit2dallas.org with questions.

For information on particular schools or school districts in Texas, please visit the Texas Cradle-to-Career Education Data Dashboard: data.commit2dallas.org. If you have any feedback or questions, please email Robert Mundinger at Robert.Mundinger@commit2dallas.org

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