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A Duncan Segregation Index value of 0 occurs when the share of women in every occupation is the same as women's share of employment as a whole. In other words, 0 indicates perfect gender integration within the workforce, while a value of 1 indicates complete gender segregation within the workforce. [1]
The index of dissimilarity is a demographic measure of the evenness with which two groups are distributed across component geographic areas that make up a larger area. A group is evenly distributed when each geographic unit has the same percentage of group members as the total population.
Over the last century in the United States, there has been a surprising stability of segregation-index scores, which measure the level of occupational segregation of the labor market. [10] There were declines in occupational segregation in the 1970s and 1980s, as technologies that made the care work of the home quicker and easier allowed more ...
Otis Dudley Duncan advocated for quantitative social science in the second half of the twentieth century. His key scholarly contributions include the introduction of path analysis to sociology; the measurement of occupational socioeconomic standing with an index (Duncan Socioeconomic Index); the study of intergenerational occupational mobility; the spatial analysis of residential patterns; the ...
Isolation index measures the degree to which people inhabit geographic units inhabited primarily by members of their own group. It is usually denoted by I. It is usually denoted by I. It varies from 0 to 1.0 and is defined as the proportion of own-group members in the unit of the average person.
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This index is probably better known as the index of dissimilarity (D). [44] It is closely related to the Gini index. This index is biased as its expectation under a uniform distribution is > 0. A modification of this index has been proposed by Gorard and Taylor. [45] Their index (GT) is = (+)
Analysis of similarities (ANOSIM) is a non-parametric statistical test widely used in the field of ecology.The test was first suggested by K. R. Clarke [1] as an ANOVA-like test, where instead of operating on raw data, operates on a ranked dissimilarity matrix.