Comparer des méthodes

	Variationist Sociolinguistics	Régression logistique
Domaine	Linguistique	Statistiques de recherche
Famille	Process / pipeline	Process / pipeline
Année d'origine	1972	1958
Auteur d'origine	William Labov	David Roxbee Cox
Type	Quantitative field study of socially conditioned linguistic variation	Method
Source fondatrice	Labov, W. (1972). Sociolinguistic Patterns. University of Pennsylvania Press. ISBN: 9780812210521	Cox, D. R. (1958). The regression analysis of binary sequences. Journal of the Royal Statistical Society, Series B, 20(2), 215–242.
Alias	Variationist Analysis, Labovian Sociolinguistics, Quantitative Sociolinguistics	logit model, binomial logistic regression, LR
Apparentées	4	3
Résumé	Variationist sociolinguistics is the quantitative study of how linguistic variation is structured by social and linguistic factors. Pioneered by William Labov in the 1960s and 1970s, it treats alternative ways of saying the same thing — the 'linguistic variable' — as systematically conditioned by speaker characteristics (class, age, sex, ethnicity), stylistic context, and the surrounding linguistic environment, and it uses statistical modeling of natural speech to reveal the orderly heterogeneity beneath apparent randomness.	Logistic regression is a statistical method for modeling the probability of a binary outcome (disease present/absent, success/failure) as a function of continuous and categorical predictors. Developed by David Roxbee Cox (1958), it solves the problem of predicting categorical outcomes by applying a logistic transformation to constrain predictions to the [0,1] probability interval, enabling accurate risk stratification, diagnostic prediction, and causal inference in epidemiology, medicine, and social science.