Porovnat metody

	Apparent-Time Analysis	Real-Time Study of Language Change
Obor	Lingvistika	Lingvistika
Rodina	Process / pipeline	Process / pipeline
Rok vzniku	1963	1994
Tvůrce	William Labov	William Labov (and the variationist tradition)
Typ	Inferential design for detecting language change in progress	Longitudinal design for observing language change directly
Původní zdroj	Labov, W. (1963). The social motivation of a sound change. Word, 19(3), 273–309.	Sankoff, G., & Blondeau, H. (2007). Language change across the lifespan: /r/ in Montreal French. Language, 83(3), 560–588.
Další názvy	Apparent-Time Construct, Apparent-Time Hypothesis, Age-Stratified Change Analysis	Real-Time Analysis, Trend and Panel Study, Longitudinal Language Change Study
Příbuzné	4	4
Shrnutí	Apparent-time analysis is the foundational variationist method for detecting language change in progress without waiting for time to pass. Introduced by William Labov in his 1963 study of Martha's Vineyard, it compares the speech of speakers of different ages sampled at a single moment and treats the age dimension as a proxy for historical time: if younger speakers use a variant more than older speakers, that age gradient is read as evidence of change unfolding across generations. The inference rests on the apparent-time hypothesis — that an individual's vernacular is largely fixed in adolescence and remains stable through adult life — so that the speech of today's seventy-year-olds reflects the community norms of roughly fifty years ago.	The real-time study of language change observes change directly by comparing comparable data from the same speech community gathered at two or more actual points in time. Where apparent-time analysis infers change from age differences in a single snapshot, real-time study watches the community across the calendar, either by drawing a fresh sample of the same community years later (a trend study) or by re-recording the very same individuals (a panel study). It is the gold standard for confirming that a change has occurred and for distinguishing community-wide generational change from change within individual speakers over their lifespan.