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Individual effects in variation analysis

Model, software, and research design

Bibliographic Data

ID12233603
AuthorsJohn C Paolillo (Indiana University, corresponding author)
Year2013
Volume25
Issue1
Pages89-118
Publication date2013-03-01
Open AccessYes
TypeARTICLE
VenueLanguage Variation and Change (JOURNAL)
Journal identifiersISSN: 0954-3945 • E-ISSN: 1469-8021
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s0954394512000270
OpenAlexW2031749420
LanguageEN
Citations received5
References cited25

Individual-level variation is a recurrent issue in variationist sociolinguistics. One current approach recommends addressing this via mixed-effects modeling. This paper shows that a closely related model with fixed effects for individual speakers can be directly estimated using Goldvarb. The consequences of employing different approaches to speaker variation are explored by using different model selection criteria. We conclude by discussing the relation of the statistical model to the assumptions of the research design, pointing out that nonrandom selection of speakers potentially violates the assumptions of models with random effects for speaker, and suggesting that a model with fixed effects for speakers may be a better alternative in these cases

Cognitive psychology · Econometrics · Linguistics · Random effects model · Relation (database · Selection (genetic algorithm · Sociolinguistics · Variation (astronomy · Computer Science · Language, Discourse, Communication Strategies · Linguistic Variation and Morphology · Mathematics · Multilingual Education and Policy · Psychology · Artificial Intelligence

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Citations per year0.5
Citation span2016 - 2023 (8)
Highly citedNo

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