Сравнение методов

	Log-Linear Mobility Model	Index of Dissimilarity
Область	Sociology	Sociology
Семейство	Regression model	Process / pipeline
Год появления	1970s	1955
Автор метода	Leo Goodman; Robert Hauser	Otis Dudley Duncan & Beverly Duncan
Тип	Log-linear / Poisson model for cell counts in mobility tables	Index of evenness of two groups across units
Основополагающий источник	Hauser, R. M. (1978). A structural model of the mobility table. Social Forces, 56(3), 919–953.	Duncan, O. D., & Duncan, B. (1955). A methodological analysis of segregation indexes. American Sociological Review, 20(2), 210–217.
Другие названия	log-linear model for mobility, topological mobility model, quasi-independence model, levels model	dissimilarity index, Duncan index, D index, segregation index
Связанные	5	5
Сводка	Log-linear mobility models analyze an origin-by-destination mobility table by modeling the logarithm of its expected cell counts as a sum of terms: separate effects for the origin and destination marginals plus interaction terms that capture the origin–destination association. By specifying that association parametrically — through diagonal, level, or scaled terms — these models test precise hypotheses about the structure of social fluidity independent of the changing sizes of classes.	The index of dissimilarity, often called the Duncan segregation index, measures how unevenly two groups — such as two racial or occupational groups — are distributed across a set of units like neighborhoods, schools, or occupations. It ranges from 0, when both groups have identical distributions across units, to 1, when the units are completely segregated, and has the intuitive interpretation of the share of one group that would have to relocate to achieve an even distribution.