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Auteur Steven BEDRICK |
Documents disponibles écrits par cet auteur (3)
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Consistency and reliability of automated language measures across expressive language samples in autism / Heather MACFARLANE in Autism Research, 16-4 (April 2023)
[article]
Titre : Consistency and reliability of automated language measures across expressive language samples in autism Type de document : Texte imprimé et/ou numérique Auteurs : Heather MACFARLANE, Auteur ; Alexandra C. SALEM, Auteur ; Steven BEDRICK, Auteur ; Jill K. DOLATA, Auteur ; Jack WIEDRICK, Auteur ; Grace O. LAWLEY, Auteur ; Lizbeth H. FINESTACK, Auteur ; Sara T. KOVER, Auteur ; Angela John THURMAN, Auteur ; Leonard ABBEDUTO, Auteur ; Eric FOMBONNE, Auteur Article en page(s) : p.802-816 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Abstract Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder with substantial clinical heterogeneity, especially in language and communication ability. There is a need for validated language outcome measures that show sensitivity to true change for this population. We used Natural Language Processing to analyze expressive language transcripts of 64 highly-verbal children and young adults (age: 6-23?years, mean 12.8?years; 78.1% male) with ASD to examine the validity across language sampling context and test-retest reliability of six previously validated Automated Language Measures (ALMs), including Mean Length of Utterance in Morphemes, Number of Distinct Word Roots, C-units per minute, unintelligible proportion, um rate, and repetition proportion. Three expressive language samples were collected at baseline and again 4?weeks later. These samples comprised interview tasks from the Autism Diagnostic Observation Schedule (ADOS-2) Modules 3 and 4, a conversation task, and a narration task. The influence of language sampling context on each ALM was estimated using either generalized linear mixed-effects models or generalized linear models, adjusted for age, sex, and IQ. The 4?weeks test-retest reliability was evaluated using Lin's Concordance Correlation Coefficient (CCC). The three different sampling contexts were associated with significantly (P0.001) different distributions for each ALM. With one exception (repetition proportion), ALMs also showed good test-retest reliability (median CCC: 0.73-0.88) when measured within the same context. Taken in conjunction with our previous work establishing their construct validity, this study demonstrates further critical psychometric properties of ALMs and their promising potential as language outcome measures for ASD research. En ligne : https://doi.org/10.1002/aur.2897 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=499
in Autism Research > 16-4 (April 2023) . - p.802-816[article] Consistency and reliability of automated language measures across expressive language samples in autism [Texte imprimé et/ou numérique] / Heather MACFARLANE, Auteur ; Alexandra C. SALEM, Auteur ; Steven BEDRICK, Auteur ; Jill K. DOLATA, Auteur ; Jack WIEDRICK, Auteur ; Grace O. LAWLEY, Auteur ; Lizbeth H. FINESTACK, Auteur ; Sara T. KOVER, Auteur ; Angela John THURMAN, Auteur ; Leonard ABBEDUTO, Auteur ; Eric FOMBONNE, Auteur . - p.802-816.
Langues : Anglais (eng)
in Autism Research > 16-4 (April 2023) . - p.802-816
Index. décimale : PER Périodiques Résumé : Abstract Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder with substantial clinical heterogeneity, especially in language and communication ability. There is a need for validated language outcome measures that show sensitivity to true change for this population. We used Natural Language Processing to analyze expressive language transcripts of 64 highly-verbal children and young adults (age: 6-23?years, mean 12.8?years; 78.1% male) with ASD to examine the validity across language sampling context and test-retest reliability of six previously validated Automated Language Measures (ALMs), including Mean Length of Utterance in Morphemes, Number of Distinct Word Roots, C-units per minute, unintelligible proportion, um rate, and repetition proportion. Three expressive language samples were collected at baseline and again 4?weeks later. These samples comprised interview tasks from the Autism Diagnostic Observation Schedule (ADOS-2) Modules 3 and 4, a conversation task, and a narration task. The influence of language sampling context on each ALM was estimated using either generalized linear mixed-effects models or generalized linear models, adjusted for age, sex, and IQ. The 4?weeks test-retest reliability was evaluated using Lin's Concordance Correlation Coefficient (CCC). The three different sampling contexts were associated with significantly (P0.001) different distributions for each ALM. With one exception (repetition proportion), ALMs also showed good test-retest reliability (median CCC: 0.73-0.88) when measured within the same context. Taken in conjunction with our previous work establishing their construct validity, this study demonstrates further critical psychometric properties of ALMs and their promising potential as language outcome measures for ASD research. En ligne : https://doi.org/10.1002/aur.2897 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=499 Mobile and online consumer tools to screen for autism do not promote equity / Benjamin W SANDERS in Autism, 27-3 (April 2023)
[article]
Titre : Mobile and online consumer tools to screen for autism do not promote equity Type de document : Texte imprimé et/ou numérique Auteurs : Benjamin W SANDERS, Auteur ; Steven BEDRICK, Auteur ; Sarabeth BRODER-FINGERT, Auteur ; Shannon A BROWN, Auteur ; Jill K DOLATA, Auteur ; Eric FOMBONNE, Auteur ; Julie A REEDER, Auteur ; Luis Andres RIVAS VAZQUEZ, Auteur ; Plyce FUCHU, Auteur ; Yesenia MORALES, Auteur ; Katharine E ZUCKERMAN, Auteur Article en page(s) : p.714-722 Langues : Anglais (eng) Mots-clés : autism spectrum disorder,digital divide,mass screening,mobile applications,parents,preschool,child Index. décimale : PER Périodiques Résumé : Limited access to screening and evaluation for autism spectrum disorder in children is a major barrier to improving outcomes for marginalized families. To identify and evaluate available digital autism spectrum disorder screening resources, we simulated web and mobile app searches by a parent concerned about their child?s likelihood of autism spectrum disorder. Included digital autism spectrum disorder screening tools (a) were on Internet or mobile app; (b) were in English; (c) had a parent user inputting data; (d) assigned likelihood category to child <9?years; and (e) screened for autism spectrum disorder. Ten search terms, developed using Google Search and parent panel recommendations, were used to search web and app tools in the United States, the United Kingdom, India, Australia, and Canada using Virtual Private Networks. Results were examined for attributes likely to benefit parents in marginalized communities, such as ease of searching, language versions, and reading level. The four terms most likely to identify any tools were ''autism quiz,'' ''autism screening tool,'' ''does my child have autism,'' and ''autism toddler.'' Three out of five searches contained autism spectrum disorder screening tools, as did one of 10 links or apps. Searches identified a total of 1475 websites and 919 apps, which yielded 23 unique tools. Most tools required continuous Internet access or offered only English, and many had high reading levels. In conclusion, screening tools are available, but they are not easily found. Barriers include inaccessibility to parents with limited literacy or limited English proficiency, and frequent encounters with games, advertisements, and user fees.Lay AbstractMany parents wonder if their child might have autism. Many parents use their smartphones to answer health questions. We asked, ''How easy or hard is it for parents to use their smartphones to find 'tools' to test their child for signs of autism?'' After doing pretend parent searches, we found that only one in 10 search results were tools to test children for autism. These tools were not designed for parents who have low income or other challenges such as low literacy skills, low English proficiency, or not being tech-savvy. En ligne : https://doi.org/10.1177/13623613221114280 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=499
in Autism > 27-3 (April 2023) . - p.714-722[article] Mobile and online consumer tools to screen for autism do not promote equity [Texte imprimé et/ou numérique] / Benjamin W SANDERS, Auteur ; Steven BEDRICK, Auteur ; Sarabeth BRODER-FINGERT, Auteur ; Shannon A BROWN, Auteur ; Jill K DOLATA, Auteur ; Eric FOMBONNE, Auteur ; Julie A REEDER, Auteur ; Luis Andres RIVAS VAZQUEZ, Auteur ; Plyce FUCHU, Auteur ; Yesenia MORALES, Auteur ; Katharine E ZUCKERMAN, Auteur . - p.714-722.
Langues : Anglais (eng)
in Autism > 27-3 (April 2023) . - p.714-722
Mots-clés : autism spectrum disorder,digital divide,mass screening,mobile applications,parents,preschool,child Index. décimale : PER Périodiques Résumé : Limited access to screening and evaluation for autism spectrum disorder in children is a major barrier to improving outcomes for marginalized families. To identify and evaluate available digital autism spectrum disorder screening resources, we simulated web and mobile app searches by a parent concerned about their child?s likelihood of autism spectrum disorder. Included digital autism spectrum disorder screening tools (a) were on Internet or mobile app; (b) were in English; (c) had a parent user inputting data; (d) assigned likelihood category to child <9?years; and (e) screened for autism spectrum disorder. Ten search terms, developed using Google Search and parent panel recommendations, were used to search web and app tools in the United States, the United Kingdom, India, Australia, and Canada using Virtual Private Networks. Results were examined for attributes likely to benefit parents in marginalized communities, such as ease of searching, language versions, and reading level. The four terms most likely to identify any tools were ''autism quiz,'' ''autism screening tool,'' ''does my child have autism,'' and ''autism toddler.'' Three out of five searches contained autism spectrum disorder screening tools, as did one of 10 links or apps. Searches identified a total of 1475 websites and 919 apps, which yielded 23 unique tools. Most tools required continuous Internet access or offered only English, and many had high reading levels. In conclusion, screening tools are available, but they are not easily found. Barriers include inaccessibility to parents with limited literacy or limited English proficiency, and frequent encounters with games, advertisements, and user fees.Lay AbstractMany parents wonder if their child might have autism. Many parents use their smartphones to answer health questions. We asked, ''How easy or hard is it for parents to use their smartphones to find 'tools' to test their child for signs of autism?'' After doing pretend parent searches, we found that only one in 10 search results were tools to test children for autism. These tools were not designed for parents who have low income or other challenges such as low literacy skills, low English proficiency, or not being tech-savvy. En ligne : https://doi.org/10.1177/13623613221114280 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=499 "Um" and "Uh" Usage Patterns in Children with Autism: Associations with Measures of Structural and Pragmatic Language Ability / Grace O. LAWLEY in Journal of Autism and Developmental Disorders, 53-8 (August 2023)
[article]
Titre : "Um" and "Uh" Usage Patterns in Children with Autism: Associations with Measures of Structural and Pragmatic Language Ability Type de document : Texte imprimé et/ou numérique Auteurs : Grace O. LAWLEY, Auteur ; Steven BEDRICK, Auteur ; Heather MACFARLANE, Auteur ; Jill K. DOLATA, Auteur ; Alexandra C. SALEM, Auteur ; Eric FOMBONNE, Auteur Article en page(s) : p.2986-2997 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Pragmatic language difficulties, including unusual filler usage, are common among children with Autism Spectrum Disorder (ASD). This study investigated "um" and "uh" usage in children with ASD and typically developing (TD) controls. We analyzed transcribed Autism Diagnostic Observation Schedule (ADOS) sessions for 182 children (117 ASD, 65 TD), aged 4 to 15. Although the groups did not differ in "uh" usage, the ASD group used fewer "ums" than the TD group. This held true after controlling for age, sex, and IQ. Within ASD, social affect and pragmatic language scores did not predict filler usage; however, structural language scores predicted "um" usage. Lower "um" rates among children with ASD may reflect problems with planning or production rather than pragmatic language. En ligne : https://doi.org/10.1007/s10803-022-05565-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=508
in Journal of Autism and Developmental Disorders > 53-8 (August 2023) . - p.2986-2997[article] "Um" and "Uh" Usage Patterns in Children with Autism: Associations with Measures of Structural and Pragmatic Language Ability [Texte imprimé et/ou numérique] / Grace O. LAWLEY, Auteur ; Steven BEDRICK, Auteur ; Heather MACFARLANE, Auteur ; Jill K. DOLATA, Auteur ; Alexandra C. SALEM, Auteur ; Eric FOMBONNE, Auteur . - p.2986-2997.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 53-8 (August 2023) . - p.2986-2997
Index. décimale : PER Périodiques Résumé : Pragmatic language difficulties, including unusual filler usage, are common among children with Autism Spectrum Disorder (ASD). This study investigated "um" and "uh" usage in children with ASD and typically developing (TD) controls. We analyzed transcribed Autism Diagnostic Observation Schedule (ADOS) sessions for 182 children (117 ASD, 65 TD), aged 4 to 15. Although the groups did not differ in "uh" usage, the ASD group used fewer "ums" than the TD group. This held true after controlling for age, sex, and IQ. Within ASD, social affect and pragmatic language scores did not predict filler usage; however, structural language scores predicted "um" usage. Lower "um" rates among children with ASD may reflect problems with planning or production rather than pragmatic language. En ligne : https://doi.org/10.1007/s10803-022-05565-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=508