Search results
Results from the WOW.Com Content Network
The Duncan Segregation Index is a measure of occupational segregation based on gender that measures whether there is a larger than expected presence of one gender over another in a given occupation or labor force by identifying the percentage of employed women (or men) who would have to change occupations for the occupational distribution of men and women to be equal.
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 ...
The index score can also be interpreted as the percentage of one of the two groups included in the calculation that would have to move to different geographic areas in order to produce a distribution that matches that of the larger area. The index of dissimilarity can be used as a measure of segregation. A score of zero (0%) reflects a fully ...
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 ...
Index, A History of the: A Bookish Adventure from Medieval Manuscripts to the Digital Age is a 2022 book by Dennis Duncan that examines the history of indexes.Indexes, argues Duncan—paraphrasing Jonathan Swift's Mechanical Operation of the Spirit [note 1] —allow the reader a legitimate means of starting a book from the back, a practice he compares to "travellers entering a palace through ...
As such, for two objects and having descriptors, the similarity is defined as: = = =, where the are non-negative weights and is the similarity between the two objects regarding their -th variable. In spectral clustering , a similarity, or affinity, measure is used to transform data to overcome difficulties related to lack of convexity in the ...
Both the index of dissimilarity and the neighborhood sorting indices show that income segregation grew between 1970 and 1990. In this period, the Index of Dissimilarity between the affluent and the poor increased from .29 to .43. [13] Poor families are becoming more isolated.
In practical applications, distances are noisy measurements or come from arbitrary dissimilarity estimates (not necessarily metric). The goal may be to visualize such data by points in Euclidean space whose distance matrix approximates a given dissimilarity matrix as well as possible — this is known as multidimensional scaling.