This is just quick update to my prior post on concentrated poverty. I re-ran the California test score data at a school-level to compare within school black-white differences in test scores and converted all of the scores data to standard deviation units relative to (above) the non-hispanic mean by school, weighted by the number of test takers. The pattern can be observed as early as 2nd grade and it is quite consistent for all major/mandatory tests.
Black vs White within school comparison
Grade 2 English
Grade 2 Math
If I plot all tests at once (after standardizing the scores), the plot comes out like this:
Most individual test plots seem to follow a pretty similar pattern with respect to the underlying shape and the relationship between the intercept(s), i.e, roughly -2.8@ -2 SD, -1.2 @ 0 SD, -0.2 @ +2 SD. The within school gap grows in schools where whites perform at a higher level(the right side) and shrinks in schools where whites perform well below average (the left side). [The higher performing schools are almost certainly mostly higher SES schools, but perhaps I’ll plot this data once I find a good measure of school level SES for both groups later]
U.S. History
World History
Physics
Chemistry
Algebra II
Algebra I
Grade 10 Science
Grade 8 Science
Grade 7 Math
Grade 11 English
Grade 7 English
Latino vs White within school comparison
Black vs Latino within school comparison
Black vs Asian within school comparison
Asian vs White within school comparison
[…] a prior post I compared the performance of various ethnic groups directly against each other within the same […]
[…] educational attainment and by race within the very same schools (see data by average scores or reference group). In other words, actual differences in school quality (independent of economic inputs, class […]
[…] already had a bunch data at my fingertips from a series of prior analyses I performed (see: one, two, three, four), I decided to see how well the analogous relationships play out in California […]