2010
DOI: 10.1121/1.3460625
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Improved representation of variance in measures of vowel merger

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Cited by 42 publications
(24 citation statements)
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“…In order to investigate the individual variation in the production patterns of these bilinguals, the data were analyzed for their Pillai score, which is a measure for the degree of merger (Hall-Lew, 2010;Hay et al, 2006;Sloos, 2013). The Pillai score is an output of a multivariate analysis of variance that represents the degree of overlap between 2 vowel clusters.…”
Section: Back Mid Vowel Data (/O/ and /ɔ/)mentioning
confidence: 99%
“…In order to investigate the individual variation in the production patterns of these bilinguals, the data were analyzed for their Pillai score, which is a measure for the degree of merger (Hall-Lew, 2010;Hay et al, 2006;Sloos, 2013). The Pillai score is an output of a multivariate analysis of variance that represents the degree of overlap between 2 vowel clusters.…”
Section: Back Mid Vowel Data (/O/ and /ɔ/)mentioning
confidence: 99%
“…If no decision can be made on the basis of purely linguistic information, other information may be invoked. Hay et al (2006) suggest that in case of equal competition between different exemplars -but not otherwise -speakers may rely on other cues; for instance, social information. This implies that sociolinguistic information is stored alongside the pronunciation of the word.…”
Section: General Discussion and Conclusionmentioning
confidence: 97%
“…As a result, 2 vocalic clusters that have a very different distribution of tokens will yield higher Pillai scores than 2 clusters that have the same distance between vowel means but, instead, show a similar distribution in their spread (Hall-Lew, 2010). To account for this, the quantitative analysis of Pillai scores was accompanied by a qualitative analysis of the distribution of vowels.…”
Section: Resultsmentioning
confidence: 99%
“…In this part of the analysis, a Pillai score that measured the degree of phonetic overlap between vowel pairs for each speaker was calculated, using the Pillai-Barlett statistic (Hay et al 2006, Hall-Lew, 2010 in R (version 3.3.2, R Core Team 2017). The Pillai score is an output of a multivariate analysis of variance.…”
Section: Methodsmentioning
confidence: 99%