Порівняння методів

	Log-Linear Mobility Model	Sequence Analysis
Галузь	Sociology	Sociology
Родина	Regression model	Process / pipeline
Рік появи	1970s	1980s–2000 (sociological consolidation)
Автор методу	Leo Goodman; Robert Hauser	Andrew Abbott (introduced to sociology)
Тип	Log-linear / Poisson model for cell counts in mobility tables	Holistic analysis of categorical state sequences over time
Основоположне джерело	Hauser, R. M. (1978). A structural model of the mobility table. Social Forces, 56(3), 919–953.	Abbott, A., & Tsay, A. (2000). Sequence analysis and optimal matching methods in sociology: review and prospect. Sociological Methods & Research, 29(1), 3–33.
Інші назви	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
Пов'язані	5	5
Підсумок	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.