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Getting off the GoldVarb Standard: Introducing Rbrul for Mixed‐Effects Variable Rule Analysis
Author(s) -
Johnson Daniel Ezra
Publication year - 2009
Publication title -
language and linguistics compass
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.619
H-Index - 44
ISSN - 1749-818X
DOI - 10.1111/j.1749-818x.2008.00108.x
Subject(s) - variable (mathematics) , sociolinguistics , computer science , flexibility (engineering) , linguistics , natural language processing , artificial intelligence , statistics , mathematics , philosophy , mathematical analysis
The variable rule program is one of the predominant data analysis tools used in sociolinguistics, employed successfully for over three decades to quantitatively assess the influence of multiple factors on linguistic variables. However, its most popular current version, GoldVarb, lacks flexibility and also isolates its users from the wider community of quantitative linguists. A new version of the variable rule program, Rbrul, attempts to resolve these concerns, and with mixed‐effects modelling also addresses a more serious problem whereby GoldVarb overestimates the significance of effects. Rbrul's superior performance is demonstrated on both simulated and real data sets.