Goodman Association Model
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.
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出典
- 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. DOI: 10.1080/01621459.1979.10481650 ↗
- Goodman, L. A. (1985). The analysis of cross-classified data having ordered and/or unordered categories: association models, correlation models, and asymmetry models for contingency tables with or without missing entries. The Annals of Statistics, 13(1), 10–69. DOI: 10.1214/aos/1176346576 ↗
このページの引用方法
ScholarGate. (2026, June 22). Goodman's RC Association Models for Ordered Tables. ScholarGate. https://scholargate.app/ja/sociology/goodman-association-model
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