Returns the mapping from raw race/ethnicity text values to standardized categories for student data. Maps diverse raw entries across all 4 years (e.g., "Black or African American" in 2021-22 vs "Black/African American" in 2022-25) to a consistent set of 7 categories.
Details
Standardized categories and their factor order:
White
Black
Latino/Hispanic
Asian
Mixed
Other
Unknown
Note: Student race values differ from classroom teacher race values (e.g., "Hispanic" appears in 2021-22 student data but not in classroom data).
Examples
alprek_student_race_mapping()
#> # A tibble: 15 × 3
#> raw_value standardized factor_order
#> <chr> <chr> <int>
#> 1 White White 1
#> 2 Black or African American Black 2
#> 3 Black/African American Black 2
#> 4 Hispanic Latino/Hispanic 3
#> 5 Latino/Hispanic Latino/Hispanic 3
#> 6 Asian Asian 4
#> 7 Filipino Asian 4
#> 8 Mixed Heritage Mixed 5
#> 9 Mixed heritage Mixed 5
#> 10 Alaska Native Other 6
#> 11 American Indian Other 6
#> 12 Native Hawaiian or Other Pacific Islander Other 6
#> 13 Native Hawaiian or other Pacific Islander Other 6
#> 14 Unknown Unknown 7
#> 15 Decline to answer Unknown 7