Starting in the 23-24 school year, there will be expanded data disaggregation in Elevate reports. Since its inception, Elevate was designed to assist educators in identifying and improving equity gaps, especially for students from marginalized backgrounds. Prior to the 23-24 school year, reports demonstrated data by gender, race, and ethnicity but only to a limited degree. For example, while the survey includes 18 different race-ethnicity options for participants, reports only display results separately for members of racial and ethnic groups that are structurally disadvantaged within the U.S. education system (according to national education statistics on college access). Similarly, survey participants can choose to identify as boy/man, girl/women, non-binary/other, or prefer not to say. However, reports only disaggregate data for participants identifying as boys/men or as girls/women.
PERTS’s new data infrastructure allows educators to view data by fine-grained categories, including intersections of these categories, while also maintaining the confidentiality of participants’ responses. Specifically, the new data infrastructure supports data disaggregation by seven different race-ethnicity groups:
Asian/Asian-American
Black/African-American
Indigenous
Hispanic/Latinx
Pacific Islander/Native Hawaiian
White/European-American
Other Race or Ethnicity
Unknown/Did Not Respond
And, the following gender groups:
Girl/Woman
Boy/Man
Non-binary/Other Gender
Unknown/Did Not Respond
Our new data infrastructure also allows educators to see breakdowns by intersections of these categories, for example, Asian/Asian-American boys, or Latinx, Non-binary participants.