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Getting off the GoldVarb standard: introducing Rbrul for mixed-effects variable rule analysis

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Getting off the GoldVarb standard: introducing Rbrul for mixed-effects variable rule analysis. / Johnson, Daniel.
In: Language and Linguistics Compass, Vol. 3, No. 1, 01.2009, p. 359-383.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Johnson, D 2009, 'Getting off the GoldVarb standard: introducing Rbrul for mixed-effects variable rule analysis', Language and Linguistics Compass, vol. 3, no. 1, pp. 359-383. https://doi.org/10.1111/j.1749-818X.2008.00108.x

APA

Johnson, D. (2009). Getting off the GoldVarb standard: introducing Rbrul for mixed-effects variable rule analysis. Language and Linguistics Compass, 3(1), 359-383. https://doi.org/10.1111/j.1749-818X.2008.00108.x

Vancouver

Johnson D. Getting off the GoldVarb standard: introducing Rbrul for mixed-effects variable rule analysis. Language and Linguistics Compass. 2009 Jan;3(1):359-383. Epub 2008 Dec 15. doi: 10.1111/j.1749-818X.2008.00108.x

Author

Johnson, Daniel. / Getting off the GoldVarb standard : introducing Rbrul for mixed-effects variable rule analysis. In: Language and Linguistics Compass. 2009 ; Vol. 3, No. 1. pp. 359-383.

Bibtex

@article{03b3e35e7916473ea0fb9a24dbd50c00,
title = "Getting off the GoldVarb standard: introducing Rbrul for mixed-effects variable rule analysis",
abstract = "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.",
author = "Daniel Johnson",
year = "2009",
month = jan,
doi = "10.1111/j.1749-818X.2008.00108.x",
language = "English",
volume = "3",
pages = "359--383",
journal = "Language and Linguistics Compass",
publisher = "Wiley-Blackwell",
number = "1",

}

RIS

TY - JOUR

T1 - Getting off the GoldVarb standard

T2 - introducing Rbrul for mixed-effects variable rule analysis

AU - Johnson, Daniel

PY - 2009/1

Y1 - 2009/1

N2 - 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.

AB - 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.

U2 - 10.1111/j.1749-818X.2008.00108.x

DO - 10.1111/j.1749-818X.2008.00108.x

M3 - Journal article

VL - 3

SP - 359

EP - 383

JO - Language and Linguistics Compass

JF - Language and Linguistics Compass

IS - 1

ER -