Validating Models of Clinical Word Recognition Tests for Spanish/English Bilinguals

Shi, Lu-Feng

doi:10.1044/2014_jslhr-h-13-0138

Cited by 14 publications

(9 citation statements)

References 28 publications

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“…It is difficult to create non–English-specific word lists because it requires extensive development and validation (22). In addition, in 2019, only 8% of audiologists reported they were bilingual (23).…”

Section: Discussionmentioning

confidence: 99%

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Investigating Socioeconomic Barriers to Cochlear Implantation

Greiner,

Rubinstein,

Kohlberg

2023

Otol Neurotol

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Objective To explore socioeconomic disparities in cochlear implant evaluation (CIE) referrals and cochlear implantation. Study Design Retrospective chart review. Setting Tertiary referral academic center. Methods Adult patients (n = 271) with an audiogram performed between 2015 and 2019 with a pure-tone average of at least 60 dB and word recognition score of 60% or less in the better-hearing ear or no word recognition score performed were included to determine if socioeconomic factors influenced the rate of referral to CIE and cochlear implantation. Results There were 122 insured patients referred to CIE where 84 were considered cochlear implant (CI) candidates and 73 were implanted. In multivariate regression analysis, non–English-speaking patients were referred to CIE at lower rates (p < 0.01) than English-speaking patients. Patients who met the CI candidacy criteria with private insurance (p = 0.03) or Medicare with private insurance supplement (p = 0.03) had higher rates of cochlear implantation than those with Medicare or Medicaid. Of the uninsured patients (n = 22), 3 were referred to CIE and 2 were considered CI candidates. No uninsured patients received a CI. Conclusions Primary language spoken was associated with a disparity in rates of CIE referral. Insurance type did influence rate of cochlear implantation once patients completed CIE and were considered CI candidates. Additional research is needed to implement strategies for more inclusive treatment.

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Section: Discussionmentioning

confidence: 99%

“…We recommend increased referral to CIE in patients who do not speak English as their primary language with PTA greater than 60 dB. It is difficult to create non-English-specific word lists because it requires extensive development and validation (22). In addition, in 2019, only 8% of audiologists reported they were bilingual (23).…”

Section: Discussionmentioning

confidence: 99%

Investigating Socioeconomic Barriers to Cochlear Implantation

Greiner,

Rubinstein,

Kohlberg

2023

Otol Neurotol

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“…Across university settings, there is often a large population of nonnative speakers of English, including nonnative bilinguals who reside in the United States, as well as international students attending school in the United States. Recent census data reported that 55 million individuals speak a language other than English at home (cited by Shi, 2014). According to the US Census Bureau, by 2060, approximately one in five of the population in the United States is projected to be foreign born (Colby and Ortman, 2015).…”

Section: Introductionmentioning

confidence: 99%

Speech Recognition in Nonnative versus Native English-Speaking College Students in a Virtual Classroom

2017

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Acoustics in the classroom are an important consideration for nonnative speakers who are proficient in English and enrolled in college. To address the need for a clearer speech signal by nonnative students (and for all students), universities should follow ANSI recommendations, as well as minimize background noise in occupied classrooms. Behavioral/instructional strategies should be considered to address factors that cannot be compensated for through acoustic design.

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“…In the United States, monolingual and bilingual speakers of English tend to differ along a range of dimensions that could affect masked speech recognition, including linguistic knowledge and access to educational resources (Calvo & Bialystok, 2014;Schneider, Martinez, & Owens, 2006). One of the most studied factors is the age at which the test language was acquired (Meador et al, 2000;Neave-DiToro, Rubinstein, & Neuman, 2017;Shi, 2010Shi, , 2014Weiss & Dempsey, 2008). Late bilinguals perform more poorly than early bilinguals (e.g., Mayo et al, 1997), and age of acquisition covaries with many of the other predictors of language proficiency (Flege, 2019).…”

mentioning

confidence: 99%

Effects of Language History on Sentence Recognition in Noise or Two-Talker Speech: Monolingual, Early Bilingual, and Late Bilingual Speakers of English

et al. 2019

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Purpose Language history is an important factor in masked speech recognition. Listeners who acquire the target language later in life perform more poorly than native speakers. However, there are inconsistencies in the literature regarding performance of bilingual speakers who begin learning the target language early in life. The purpose of this experiment was to evaluate speech-in-noise and speech-in-speech recognition for highly proficient early bilingual listeners compared to monolingual and late bilingual listeners. Method Three groups of young adults participated: native monolingual English speakers, bilingual Mandarin–English speakers who learned English from birth (early bilinguals), and native Mandarin speakers who learned English later in life (late bilinguals). All participants had normal hearing and were full-time college students. Recognition was assessed for English sentences in speech-shaped noise and two-talker English speech. Participants provided linguistic and demographic information, and late bilinguals completed the Versant test of spoken English abilities. Results All listeners performed better in speech-shaped noise than two-talker speech. Performance was similar for monolingual and early bilinguals. Late bilinguals performed more poorly overall. There was evidence for a stronger association between masked speech recognition and English dominance for late bilinguals compared to early bilinguals. Conclusion These results support the conclusion that bilingualism itself does not necessarily result in a disadvantage when recognizing masked speech in noise and speech in speech. For populations similar to those studied here (highly proficient early bilinguals), it would be appropriate to evaluate masked speech recognition using the same simple stimuli and normative data used for monolingual speakers of English.

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Validating Models of Clinical Word Recognition Tests for Spanish/English Bilinguals

Cited by 14 publications

References 28 publications

Investigating Socioeconomic Barriers to Cochlear Implantation

Investigating Socioeconomic Barriers to Cochlear Implantation

Speech Recognition in Nonnative versus Native English-Speaking College Students in a Virtual Classroom

Effects of Language History on Sentence Recognition in Noise or Two-Talker Speech: Monolingual, Early Bilingual, and Late Bilingual Speakers of English

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