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| Log-Linear Mobility Model× | Sequence Analysis× | |
|---|---|---|
| 분야 | Sociology | Sociology |
| 계열≠ | Regression model | Process / pipeline |
| 기원 연도≠ | 1970s | 1980s–2000 (sociological consolidation) |
| 창시자≠ | Leo Goodman; Robert Hauser | Andrew Abbott (introduced to sociology) |
| 유형≠ | Log-linear / Poisson model for cell counts in mobility tables | Holistic analysis of categorical state sequences over time |
| 원전≠ | Hauser, R. M. (1978). A structural model of the mobility table. Social Forces, 56(3), 919–953. DOI ↗ | Abbott, A., & Tsay, A. (2000). Sequence analysis and optimal matching methods in sociology: review and prospect. Sociological Methods & Research, 29(1), 3–33. DOI ↗ |
| 별칭 | log-linear model for mobility, topological mobility model, quasi-independence model, levels model | social sequence analysis, life-course sequence analysis, categorical sequence analysis, trajectory analysis |
| 관련 | 5 | 5 |
| 요약≠ | 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. | Sequence analysis is a holistic method for studying ordered categorical trajectories — such as month-by-month employment states, family life-course events, or daily activity patterns — by treating each individual's whole sequence as a unit, measuring how dissimilar pairs of sequences are, and grouping them into a typology of characteristic pathways. Introduced to sociology by Andrew Abbott, it shifts attention from isolated transitions to the shape of entire life courses. |
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