Porównaj metody

	Goodman Association Model	Log-Linear Mobility Model
Dziedzina	Sociology	Sociology
Rodzina	Regression model	Regression model
Rok powstania	1979	1970s
Twórca	Leo A. Goodman	Leo Goodman; Robert Hauser
Typ	Log-multiplicative model for association in ordered contingency tables	Log-linear / Poisson model for cell counts in mobility tables
Źródło pierwotne	Goodman, L. A. (1979). Simple models for the analysis of association in cross-classifications having ordered categories. Journal of the American Statistical Association, 74(367), 537–552.	Hauser, R. M. (1978). A structural model of the mobility table. Social Forces, 56(3), 919–953.
Inne nazwy	RC association model, row-column association model, log-multiplicative model, RC(M) model	log-linear model for mobility, topological mobility model, quasi-independence model, levels model
Pokrewne	5	5
Podsumowanie	Goodman's association models, especially the row-column (RC) model, analyze the association in a two-way contingency table by representing it as a product of estimated scores for the row categories and scores for the column categories, scaled by an intrinsic association parameter. Introduced by Leo Goodman in 1979, they are log-multiplicative rather than purely log-linear, allowing ordered categories to be assigned data-driven scores and the strength of association to be summarized in a single, interpretable coefficient.	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.