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| Log-Linear Mobility Model× | Index of Dissimilarity× | |
|---|---|---|
| Campo | Sociology | Sociology |
| Famiglia≠ | Regression model | Process / pipeline |
| Anno di origine≠ | 1970s | 1955 |
| Ideatore≠ | Leo Goodman; Robert Hauser | Otis Dudley Duncan & Beverly Duncan |
| Tipo≠ | Log-linear / Poisson model for cell counts in mobility tables | Index of evenness of two groups across units |
| Fonte seminale≠ | Hauser, R. M. (1978). A structural model of the mobility table. Social Forces, 56(3), 919–953. DOI ↗ | Duncan, O. D., & Duncan, B. (1955). A methodological analysis of segregation indexes. American Sociological Review, 20(2), 210–217. DOI ↗ |
| Alias | log-linear model for mobility, topological mobility model, quasi-independence model, levels model | dissimilarity index, Duncan index, D index, segregation index |
| Correlati | 5 | 5 |
| Sintesi≠ | 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. |
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