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To measure segregation levels, researchers at the state university used what they call a dissimilarity index, which captures the degree to which two racial groups are evenly spread among census tracts in a city.
And even though the county's Hispanic population grew 66percentt from 1990 to 2000, indexes that measure segregation between whites and Hispanics say that it grew worse in that time.
It describes an automated methodology used to measure segregation and evaluates that method for consistency, repeatability, and correlation to previous methods.
One of the needs to accomplish this goal is to find a method of easily characterizing a mixture to measure segregation potential.
Sociologists usually measure segregation.
Independent variables initially included were as follows: the dissimilarity index (to measure segregation), Black poverty/White poverty (to control for Black/White economic differences), population density and percentage of persons traveling to work who drive to work (alone and in car pools), and percentage of workforce employed in manufacturing (factors affecting air quality).
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From there one gets the average randomised directionality index I P Q R and its standard deviation σ R. The ratio R = | I P Q − I P Q R | / σ R gives us the number of standard deviations (sd) the measured segregation index is far from the expected one in a random situation.
Early work focused on measuring segregation of one binary (dichotomous) category, such as female versus male or white versus non-white, against a second multi-group categorical variable, such as industry, company, or department [5], [6], [7].
n = 3, error bars = ± SD. (E ) Mathematical simulation of segregation over time, starting from 100% cells carrying four plasmids, based on the experimentally measured segregation rates.
We used a different methodologic approach in our study in terms of how we measured segregation, derived area-level SES measures, and developed our statistical models, yet the consistency of results between these two segregation studies is noteworthy.
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