Dataset Information

Diagnostic Accuracy of Sentence Recall and Past Tense Measures for Identifying Children's Language Impairments.

ABSTRACT: Purpose Measures of linguistic processing and grammatical proficiency represent strong candidates for adaptation into language screeners for early elementary students. One key barrier, however, has been the lack of consensus around the preferred reference standard for assigning affected status. Diagnostic accuracies associated with sentence recall and past tense marking index measures were examined relative to 5 different reference standards of language impairment: receipt of language services, clinically significant levels of parental concern, low performance on language measures, a composite requiring at least 2 of these indicators, and a composite requiring convergence across all indicators. Method One thousand sixty grade K-3 students participated in school-based language screenings. All students who failed the screenings and a random sampling of those who passed were invited to participate in confirmatory assessments. The community-based sample was supplemented by a clinical sample of 58 students receiving services for language impairment. Two hundred fifty-four students participated in confirmatory testing. Examiners were naive to participants' status. Results Diagnostic accuracies for the sentence recall and past tense marking index measures varied across the different reference standards (areas under receiver operating characteristic curves: .67-.95). Higher levels of convergence occurred with reference standards based on behavioral measures. When affected status was defined by receipt of services and/or parental ratings, cases presented with higher levels of performance on the language measures than when affected status was based on behavioral criteria. Conclusion These results provide additional support for the adaptation of sentence recall and past tense marking to screen for language impairments in early elementary students. Supplemental Material https://doi.org/10.23641/asha.8285786.

SUBMITTER: Redmond SM

PROVIDER: S-EPMC6808358 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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Diagnostic Accuracy of Sentence Recall and Past Tense Measures for Identifying Children's Language Impairments.

Redmond Sean M SM Ash Andrea C AC Christopulos Tyler T TT Pfaff Theresa T

Journal of speech, language, and hearing research : JSLHR 20190620 7

Purpose Measures of linguistic processing and grammatical proficiency represent strong candidates for adaptation into language screeners for early elementary students. One key barrier, however, has been the lack of consensus around the preferred reference standard for assigning affected status. Diagnostic accuracies associated with sentence recall and past tense marking index measures were examined relative to 5 different reference standards of language impairment: receipt of language services, ...[more]

PMID: 31220421

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Project description:Purpose The goal of this study was to determine how various aspects of cognition predict speech recognition ability across different levels of speech vocoding within a single group of listeners. Method We tested the ability of young adults (N = 32) with normal hearing to recognize Perceptually Robust English Sentence Test Open-set (PRESTO) sentences that were degraded with a vocoder to produce different levels of spectral resolution (16, eight, and four carrier channels). Participants also completed tests of cognition (fluid intelligence, short-term memory, and attention), which were used as predictors of sentence recognition. Sentence recognition was compared across vocoder conditions, predictors were correlated with individual differences in sentence recognition, and the relationships between predictors were characterized. Results PRESTO sentence recognition performance declined with a decreasing number of vocoder channels, with no evident floor or ceiling performance in any condition. Individual ability to recognize PRESTO sentences was consistent relative to the group across vocoder conditions. Short-term memory, as measured with serial recall, was a moderate predictor of sentence recognition (? = 0.65). Serial recall performance was constant across vocoder conditions when measured with a digit span task. Fluid intelligence was marginally correlated with serial recall, but not sentence recognition. Attentional measures had no discernible relationship to sentence recognition and a marginal relationship with serial recall. Conclusions Verbal serial recall is a substantial predictor of vocoded sentence recognition, and this predictive relationship is independent of spectral resolution. In populations that show variable speech recognition outcomes, such as listeners with cochlear implants, it should be possible to account for the independent effects of spectral resolution and verbal serial recall in their speech recognition ability. Supplemental Material https://doi.org/10.23641/asha.12021051.

Dataset Information

Diagnostic Accuracy of Sentence Recall and Past Tense Measures for Identifying Children's Language Impairments.

Publications

Diagnostic Accuracy of Sentence Recall and Past Tense Measures for Identifying Children's Language Impairments.

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