ScholarGate
Assistent

Sammenlign metoder

Gennemgå dine valgte metoder side om side; rækker, der afviger, er fremhævet.

Variationist Sociolinguistics×Logistisk regression×
FagområdeLingvistikForskningsstatistik
FamilieProcess / pipelineProcess / pipeline
Oprindelsesår19721958
OphavspersonWilliam LabovDavid Roxbee Cox
TypeQuantitative field study of socially conditioned linguistic variationMethod
Oprindelig kildeLabov, W. (1972). Sociolinguistic Patterns. University of Pennsylvania Press. ISBN: 9780812210521Cox, D. R. (1958). The regression analysis of binary sequences. Journal of the Royal Statistical Society, Series B, 20(2), 215–242. DOI ↗
AliasserVariationist Analysis, Labovian Sociolinguistics, Quantitative Sociolinguisticslogit model, binomial logistic regression, LR
Relaterede43
ResuméVariationist 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.
ScholarGateDatasæt
  1. v1
  2. 3 Kilder
  3. PUBLISHED
  1. v1
  2. 2 Kilder
  3. PUBLISHED

Gå til søgning Hent slides

ScholarGateSammenlign metoder: Variationist Sociolinguistics · Logistic Regression. Hentet 2026-06-25 fra https://scholargate.app/da/compare