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Matched-Guise Technique×Variationist Sociolinguistics×
FachgebietLinguistikLinguistik
FamilieProcess / pipelineProcess / pipeline
Entstehungsjahr19601972
UrheberWallace Lambert and colleaguesWilliam Labov
TypIndirect experimental measure of language attitudesQuantitative field study of socially conditioned linguistic variation
Wegweisende QuelleLambert, W. E., Hodgson, R. C., Gardner, R. C., & Fillenbaum, S. (1960). Evaluational reactions to spoken languages. Journal of Abnormal and Social Psychology, 60(1), 44–51. DOI ↗Labov, W. (1972). Sociolinguistic Patterns. University of Pennsylvania Press. ISBN: 9780812210521
AliasnamenMatched Guise Test, Matched-Guise Experiment, Language Attitude Matched GuiseVariationist Analysis, Labovian Sociolinguistics, Quantitative Sociolinguistics
Verwandt24
ZusammenfassungThe matched-guise technique is an indirect experimental method for measuring attitudes toward languages, dialects, and accents. Developed by Wallace Lambert and colleagues in 1960, it has the same bilingual or bidialectal speaker record the same passage in two or more language varieties ('guises'); listeners, believing they are hearing different speakers, rate each recording on personality and status traits. Because the voice, content, and delivery are held constant, any differences in the ratings can be attributed to listeners' attitudes toward the variety itself.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.
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ScholarGateMethoden vergleichen: Matched-Guise Technique · Variationist Sociolinguistics. Abgerufen am 2026-06-25 von https://scholargate.app/de/compare