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The stability and validity of automated vocal analysis in preverbal preschoolers with autism spectrum disorder / Tiffany G. WOYNAROSKI in Autism Research, 10-3 (March 2017)
[article]
Titre : The stability and validity of automated vocal analysis in preverbal preschoolers with autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Tiffany G. WOYNAROSKI, Auteur ; D. Kimbrough OLLER, Auteur ; Bahar KECELI-KAYSILI, Auteur ; Dongxin XU, Auteur ; Jeffrey A. RICHARDS, Auteur ; Jill GILKERSON, Auteur ; Sharmistha GRAY, Auteur ; Paul J. YODER, Auteur Article en page(s) : p.508-519 Langues : Anglais (eng) Mots-clés : useful speech language vocalizations automated vocal analysis LENA preschool preverbal autism Index. décimale : PER Périodiques Résumé : Theory and research suggest that vocal development predicts “useful speech” in preschoolers with autism spectrum disorder (ASD), but conventional methods for measurement of vocal development are costly and time consuming. This longitudinal correlational study examines the reliability and validity of several automated indices of vocalization development relative to an index derived from human coded, conventional communication samples in a sample of preverbal preschoolers with ASD. Automated indices of vocal development were derived using software that is presently “in development” and/or only available for research purposes and using commercially available Language ENvironment Analysis (LENA) software. Indices of vocal development that could be derived using the software available for research purposes: (a) were highly stable with a single day-long audio recording, (b) predicted future spoken vocabulary to a degree that was nonsignificantly different from the index derived from conventional communication samples, and (c) continued to predict future spoken vocabulary even after controlling for concurrent vocabulary in our sample. The score derived from standard LENA software was similarly stable, but was not significantly correlated with future spoken vocabulary. Findings suggest that automated vocal analysis is a valid and reliable alternative to time intensive and expensive conventional communication samples for measurement of vocal development of preverbal preschoolers with ASD in research and clinical practice. En ligne : http://dx.doi.org/10.1002/aur.1667 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=304
in Autism Research > 10-3 (March 2017) . - p.508-519[article] The stability and validity of automated vocal analysis in preverbal preschoolers with autism spectrum disorder [Texte imprimé et/ou numérique] / Tiffany G. WOYNAROSKI, Auteur ; D. Kimbrough OLLER, Auteur ; Bahar KECELI-KAYSILI, Auteur ; Dongxin XU, Auteur ; Jeffrey A. RICHARDS, Auteur ; Jill GILKERSON, Auteur ; Sharmistha GRAY, Auteur ; Paul J. YODER, Auteur . - p.508-519.
Langues : Anglais (eng)
in Autism Research > 10-3 (March 2017) . - p.508-519
Mots-clés : useful speech language vocalizations automated vocal analysis LENA preschool preverbal autism Index. décimale : PER Périodiques Résumé : Theory and research suggest that vocal development predicts “useful speech” in preschoolers with autism spectrum disorder (ASD), but conventional methods for measurement of vocal development are costly and time consuming. This longitudinal correlational study examines the reliability and validity of several automated indices of vocalization development relative to an index derived from human coded, conventional communication samples in a sample of preverbal preschoolers with ASD. Automated indices of vocal development were derived using software that is presently “in development” and/or only available for research purposes and using commercially available Language ENvironment Analysis (LENA) software. Indices of vocal development that could be derived using the software available for research purposes: (a) were highly stable with a single day-long audio recording, (b) predicted future spoken vocabulary to a degree that was nonsignificantly different from the index derived from conventional communication samples, and (c) continued to predict future spoken vocabulary even after controlling for concurrent vocabulary in our sample. The score derived from standard LENA software was similarly stable, but was not significantly correlated with future spoken vocabulary. Findings suggest that automated vocal analysis is a valid and reliable alternative to time intensive and expensive conventional communication samples for measurement of vocal development of preverbal preschoolers with ASD in research and clinical practice. En ligne : http://dx.doi.org/10.1002/aur.1667 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=304 Atypical Cross-Modal Profiles and Longitudinal Associations Between Vocabulary Scores in Initially Minimally Verbal Children With ASD / Tiffany G. WOYNAROSKI in Autism Research, 9-2 (February 2016)
[article]
Titre : Atypical Cross-Modal Profiles and Longitudinal Associations Between Vocabulary Scores in Initially Minimally Verbal Children With ASD Type de document : Texte imprimé et/ou numérique Auteurs : Tiffany G. WOYNAROSKI, Auteur ; Paul J. YODER, Auteur ; Linda R. WATSON, Auteur Article en page(s) : p.301-310 Langues : Anglais (eng) Mots-clés : autism spoken language vocabulary useful speech minimally verbal longitudinal Index. décimale : PER Périodiques Résumé : We tested the relative levels (i.e., age equivalencies) of concurrent cross-modality (receptive and expressive) vocabulary and the relative strength of the longitudinal, cross-modality associations between early and later vocabulary sizes in minimally verbal preschoolers with ASD. Eighty-seven children participated. Parent-reported vocabulary was assessed at four periods separated by 4 months each. Expressive age equivalent scores were higher than receptive age equivalent scores at all four periods. Cross-lagged panel analysis was used to rule out common, but trivial, explanations for differences between the longitudinal associations of interest. Key associations were tested across intervals that varied from 8 to 12 months. In two of the three tested panels, the associations between early expressive vocabulary size and later receptive vocabulary size were stronger than the associations between early receptive vocabulary size and later expressive vocabulary size, providing evidence that is consistent with the hypothesis that expressive vocabulary size drives receptive vocabulary size in minimally verbal preschoolers with ASD. En ligne : http://dx.doi.org/10.1002/aur.1516 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=282
in Autism Research > 9-2 (February 2016) . - p.301-310[article] Atypical Cross-Modal Profiles and Longitudinal Associations Between Vocabulary Scores in Initially Minimally Verbal Children With ASD [Texte imprimé et/ou numérique] / Tiffany G. WOYNAROSKI, Auteur ; Paul J. YODER, Auteur ; Linda R. WATSON, Auteur . - p.301-310.
Langues : Anglais (eng)
in Autism Research > 9-2 (February 2016) . - p.301-310
Mots-clés : autism spoken language vocabulary useful speech minimally verbal longitudinal Index. décimale : PER Périodiques Résumé : We tested the relative levels (i.e., age equivalencies) of concurrent cross-modality (receptive and expressive) vocabulary and the relative strength of the longitudinal, cross-modality associations between early and later vocabulary sizes in minimally verbal preschoolers with ASD. Eighty-seven children participated. Parent-reported vocabulary was assessed at four periods separated by 4 months each. Expressive age equivalent scores were higher than receptive age equivalent scores at all four periods. Cross-lagged panel analysis was used to rule out common, but trivial, explanations for differences between the longitudinal associations of interest. Key associations were tested across intervals that varied from 8 to 12 months. In two of the three tested panels, the associations between early expressive vocabulary size and later receptive vocabulary size were stronger than the associations between early receptive vocabulary size and later expressive vocabulary size, providing evidence that is consistent with the hypothesis that expressive vocabulary size drives receptive vocabulary size in minimally verbal preschoolers with ASD. En ligne : http://dx.doi.org/10.1002/aur.1516 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=282 Value-Added Predictors of Expressive and Receptive Language Growth in Initially Nonverbal Preschoolers with Autism Spectrum Disorders / Paul J. YODER in Journal of Autism and Developmental Disorders, 45-5 (May 2015)
[article]
Titre : Value-Added Predictors of Expressive and Receptive Language Growth in Initially Nonverbal Preschoolers with Autism Spectrum Disorders Type de document : Texte imprimé et/ou numérique Auteurs : Paul J. YODER, Auteur ; Linda R. WATSON, Auteur ; Warren LAMBERT, Auteur Article en page(s) : p.1254-1270 Langues : Anglais (eng) Mots-clés : Autism Spoken language Useful speech Predictors Nonverbal Longitudinal Index. décimale : PER Périodiques Résumé : Eighty-seven preschoolers with autism spectrum disorders who were initially nonverbal (under 6 words in language sample and under 21 parent-reported words said) were assessed at five time points over 16 months. Statistical models that accounted for the intercorrelation among nine theoretically- and empirically-motivated predictors, as well as two background variables (i.e., cognitive impairment level, autism severity), were applied to identify value-added predictors of expressive and receptive spoken language growth and outcome. The results indicate that responding to joint attention, intentional communication, and parent linguistic responses were value-added predictors of both expressive and receptive spoken language growth. In addition, consonant inventory was a value-added predictor of expressive growth; early receptive vocabulary and autism severity were value-added predictors of receptive growth. En ligne : http://dx.doi.org/10.1007/s10803-014-2286-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=259
in Journal of Autism and Developmental Disorders > 45-5 (May 2015) . - p.1254-1270[article] Value-Added Predictors of Expressive and Receptive Language Growth in Initially Nonverbal Preschoolers with Autism Spectrum Disorders [Texte imprimé et/ou numérique] / Paul J. YODER, Auteur ; Linda R. WATSON, Auteur ; Warren LAMBERT, Auteur . - p.1254-1270.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 45-5 (May 2015) . - p.1254-1270
Mots-clés : Autism Spoken language Useful speech Predictors Nonverbal Longitudinal Index. décimale : PER Périodiques Résumé : Eighty-seven preschoolers with autism spectrum disorders who were initially nonverbal (under 6 words in language sample and under 21 parent-reported words said) were assessed at five time points over 16 months. Statistical models that accounted for the intercorrelation among nine theoretically- and empirically-motivated predictors, as well as two background variables (i.e., cognitive impairment level, autism severity), were applied to identify value-added predictors of expressive and receptive spoken language growth and outcome. The results indicate that responding to joint attention, intentional communication, and parent linguistic responses were value-added predictors of both expressive and receptive spoken language growth. In addition, consonant inventory was a value-added predictor of expressive growth; early receptive vocabulary and autism severity were value-added predictors of receptive growth. En ligne : http://dx.doi.org/10.1007/s10803-014-2286-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=259