Sensitivity analyses
Our first sensitivity analysis was to rerun our segregation analyses
with varying degrees of freedom for the natural cubic splines and
inspect differences in the resulting shapes of the smooths. We then
reran our segregation analyses with an alternative segregation measure,
the index of concentration at the extremes (34, 35). This is a measure
of social polarization used in numerous environmental, social, and
health science studies to assess the impacts of spatial social
stratification. The index of concentration at the extremes was
calculated as:
\(\text{ICE}_{i}=\ (D_{i}-A_{i})/\text{Total}_{i}\) (2)
where D is the number of disadvantaged people, A is the
number of advantaged people, and Total is the total population of
census tract i . We repeated the regression four times, using
Asian, Black, and Latino alone as the disadvantaged groups, and then all
except white as the disadvantaged group.