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Log-Linear Mobility Model×Social Mobility Table×
ОбластьSociologySociology
СемействоRegression modelProcess / pipeline
Год появления1970s1927 (concept); 1970s–1980s (modern analysis)
Автор методаLeo Goodman; Robert HauserPitirim Sorokin; refined by Hauser, Hout, Featherman
ТипLog-linear / Poisson model for cell counts in mobility tablesCross-classification of social origins by destinations
Основополагающий источникHauser, R. M. (1978). A structural model of the mobility table. Social Forces, 56(3), 919–953. DOI ↗Hauser, R. M. (1978). A structural model of the mobility table. Social Forces, 56(3), 919–953. DOI ↗
Другие названияlog-linear model for mobility, topological mobility model, quasi-independence model, levels modelmobility table, intergenerational mobility table, origin-destination table, transition table analysis
Связанные55
СводкаLog-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.A social mobility table is a cross-classification of individuals by their social origin (typically a parent's class or occupation) and their own destination class, forming the empirical foundation of intergenerational mobility research. Analyzing it separates how much people move between classes, distinguishes movement forced by changing class sizes from genuine exchange, and isolates the underlying origin–destination association that measures the openness of a society.
ScholarGateНабор данных
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  2. 2 Источники
  3. PUBLISHED
  1. v1
  2. 2 Источники
  3. PUBLISHED

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ScholarGateСравнение методов: Log-Linear Mobility Model · Social Mobility Table. Получено 2026-06-24 из https://scholargate.app/ru/compare