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Development and validation of an item response theory-based Social Responsiveness Scale short form / Alexandra STURM in Journal of Child Psychology and Psychiatry, 58-9 (September 2017)
[article]
Titre : Development and validation of an item response theory-based Social Responsiveness Scale short form Type de document : Texte imprimé et/ou numérique Auteurs : Alexandra STURM, Auteur ; Megan KUHFELD, Auteur ; Connie KASARI, Auteur ; James T. MCCRACKEN, Auteur Article en page(s) : p.1053-1061 Langues : Anglais (eng) Mots-clés : Autism spectrum disorders behavioral measures Index. décimale : PER Périodiques Résumé : Background Research and practice in autism spectrum disorder (ASD) rely on quantitative measures, such as the Social Responsiveness Scale (SRS), for characterization and diagnosis. Like many ASD diagnostic measures, SRS scores are influenced by factors unrelated to ASD core features. This study further interrogates the psychometric properties of the SRS using item response theory (IRT), and demonstrates a strategy to create a psychometrically sound short form by applying IRT results. Methods Social Responsiveness Scale analyses were conducted on a large sample (N = 21,426) of youth from four ASD databases. Items were subjected to item factor analyses and evaluation of item bias by gender, age, expressive language level, behavior problems, and nonverbal IQ. Results Item selection based on item psychometric properties, DIF analyses, and substantive validity produced a reduced item SRS short form that was unidimensional in structure, highly reliable (? = .96), and free of gender, age, expressive language, behavior problems, and nonverbal IQ influence. The short form also showed strong relationships with established measures of autism symptom severity (ADOS, ADI-R, Vineland). Degree of association between all measures varied as a function of expressive language. Conclusions Results identified specific SRS items that are more vulnerable to non-ASD-related traits. The resultant 16-item SRS short form may possess superior psychometric properties compared to the original scale and emerge as a more precise measure of ASD core symptom severity, facilitating research and practice. Future research using IRT is needed to further refine existing measures of autism symptomatology. En ligne : http://dx.doi.org/10.1111/jcpp.12731 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=317
in Journal of Child Psychology and Psychiatry > 58-9 (September 2017) . - p.1053-1061[article] Development and validation of an item response theory-based Social Responsiveness Scale short form [Texte imprimé et/ou numérique] / Alexandra STURM, Auteur ; Megan KUHFELD, Auteur ; Connie KASARI, Auteur ; James T. MCCRACKEN, Auteur . - p.1053-1061.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 58-9 (September 2017) . - p.1053-1061
Mots-clés : Autism spectrum disorders behavioral measures Index. décimale : PER Périodiques Résumé : Background Research and practice in autism spectrum disorder (ASD) rely on quantitative measures, such as the Social Responsiveness Scale (SRS), for characterization and diagnosis. Like many ASD diagnostic measures, SRS scores are influenced by factors unrelated to ASD core features. This study further interrogates the psychometric properties of the SRS using item response theory (IRT), and demonstrates a strategy to create a psychometrically sound short form by applying IRT results. Methods Social Responsiveness Scale analyses were conducted on a large sample (N = 21,426) of youth from four ASD databases. Items were subjected to item factor analyses and evaluation of item bias by gender, age, expressive language level, behavior problems, and nonverbal IQ. Results Item selection based on item psychometric properties, DIF analyses, and substantive validity produced a reduced item SRS short form that was unidimensional in structure, highly reliable (? = .96), and free of gender, age, expressive language, behavior problems, and nonverbal IQ influence. The short form also showed strong relationships with established measures of autism symptom severity (ADOS, ADI-R, Vineland). Degree of association between all measures varied as a function of expressive language. Conclusions Results identified specific SRS items that are more vulnerable to non-ASD-related traits. The resultant 16-item SRS short form may possess superior psychometric properties compared to the original scale and emerge as a more precise measure of ASD core symptom severity, facilitating research and practice. Future research using IRT is needed to further refine existing measures of autism symptomatology. En ligne : http://dx.doi.org/10.1111/jcpp.12731 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=317 Psychometric Study of the Social Responsiveness Scale in Phelan-McDermid Syndrome / Kellie GERGOUDIS in Autism Research, 13-8 (August 2020)
[article]
Titre : Psychometric Study of the Social Responsiveness Scale in Phelan-McDermid Syndrome Type de document : Texte imprimé et/ou numérique Auteurs : Kellie GERGOUDIS, Auteur ; Alan WEINBERG, Auteur ; Jonathan TEMPLIN, Auteur ; Cristan FARMER, Auteur ; Alison DURKIN, Auteur ; Jordana WEISSMAN, Auteur ; Paige SIPER, Auteur ; Jennifer FOSS-FEIG, Auteur ; Maria DEL PILAR TRELLES, Auteur ; Jonathan A. BERNSTEIN, Auteur ; Joseph D. BUXBAUM, Auteur ; Elizabeth BERRY-KRAVIS, Auteur ; Craig M. POWELL, Auteur ; Mustafa SAHIN, Auteur ; Latha SOORYA, Auteur ; Audrey THURM, Auteur ; Alexander KOLEVZON, Auteur Article en page(s) : p.1383-1396 Langues : Anglais (eng) Mots-clés : Item Response Theory Phelan-McDermid syndrome autism spectrum disorder behavioral measures intellectual disability Index. décimale : PER Périodiques Résumé : The Social Responsiveness Scale-2 (SRS-2) is a quantitative measure used to characterize symptoms of autism spectrum disorder (ASD). However, research suggests that SRS-2 scores are significantly influenced by language ability and intellectual disability (ID). Efforts to refine the SRS-2 by Sturm, Kuhfeld, Kasari, and Mccracken [Journal of Child Psychology and Psychiatry, 58(9), 1053-1061] yielded a shortened form, yet its psychometric properties in populations with severe ID remain unknown. This study aims to examine the psychometric properties of the SRS-2 in Phelan-McDermid syndrome (PMS), a genetic condition associated with ASD and ID, thereby guiding score interpretation in this population and future development of targeted scales. Analyses, including Item Response Theory (IRT), were conducted on a sample of individuals with PMS (n =?91) recruited at six sites nationally. Psychometric properties evaluated include measures of reliability (internal consistency, test-retest reliability) and validity (structural, construct, content). While both SRS-2 forms are reliable, the shortened SRS-2 shows superior validity to the full SRS-2 for measuring ASD symptoms in PMS. On IRT analysis, the shortened SRS-2 shows excellent discrimination and precisely evaluates respondents across a wide range of ASD symptomatology but interpretation is limited by uncertain content validity and small sample size. The shortened SRS-2 shows some promise for use in PMS, but future refinements and additions are needed to develop items that are tailored to identify ASD in children with severe ID and specifically PMS. LAY SUMMARY: This study determined that a shortened form of the Social Responsiveness Scale, Second Edition (SRS-2) shows both promise and limitations for the characterization of autism symptomatology in individuals with Phelan-McDermid syndrome (PMS), a population characterized by intellectual disability (ID). Caution should be used when interpreting SRS-2 scores in individuals with ID and future research should modify existing items and develop new items to improve the SRS-2's ability to accurately characterize autism symptomatology in PMS. Autism Res 2020, 13: 1383-1396. © 2020 International Society for Autism Research, Wiley Periodicals, Inc. En ligne : http://dx.doi.org/10.1002/aur.2299 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=430
in Autism Research > 13-8 (August 2020) . - p.1383-1396[article] Psychometric Study of the Social Responsiveness Scale in Phelan-McDermid Syndrome [Texte imprimé et/ou numérique] / Kellie GERGOUDIS, Auteur ; Alan WEINBERG, Auteur ; Jonathan TEMPLIN, Auteur ; Cristan FARMER, Auteur ; Alison DURKIN, Auteur ; Jordana WEISSMAN, Auteur ; Paige SIPER, Auteur ; Jennifer FOSS-FEIG, Auteur ; Maria DEL PILAR TRELLES, Auteur ; Jonathan A. BERNSTEIN, Auteur ; Joseph D. BUXBAUM, Auteur ; Elizabeth BERRY-KRAVIS, Auteur ; Craig M. POWELL, Auteur ; Mustafa SAHIN, Auteur ; Latha SOORYA, Auteur ; Audrey THURM, Auteur ; Alexander KOLEVZON, Auteur . - p.1383-1396.
Langues : Anglais (eng)
in Autism Research > 13-8 (August 2020) . - p.1383-1396
Mots-clés : Item Response Theory Phelan-McDermid syndrome autism spectrum disorder behavioral measures intellectual disability Index. décimale : PER Périodiques Résumé : The Social Responsiveness Scale-2 (SRS-2) is a quantitative measure used to characterize symptoms of autism spectrum disorder (ASD). However, research suggests that SRS-2 scores are significantly influenced by language ability and intellectual disability (ID). Efforts to refine the SRS-2 by Sturm, Kuhfeld, Kasari, and Mccracken [Journal of Child Psychology and Psychiatry, 58(9), 1053-1061] yielded a shortened form, yet its psychometric properties in populations with severe ID remain unknown. This study aims to examine the psychometric properties of the SRS-2 in Phelan-McDermid syndrome (PMS), a genetic condition associated with ASD and ID, thereby guiding score interpretation in this population and future development of targeted scales. Analyses, including Item Response Theory (IRT), were conducted on a sample of individuals with PMS (n =?91) recruited at six sites nationally. Psychometric properties evaluated include measures of reliability (internal consistency, test-retest reliability) and validity (structural, construct, content). While both SRS-2 forms are reliable, the shortened SRS-2 shows superior validity to the full SRS-2 for measuring ASD symptoms in PMS. On IRT analysis, the shortened SRS-2 shows excellent discrimination and precisely evaluates respondents across a wide range of ASD symptomatology but interpretation is limited by uncertain content validity and small sample size. The shortened SRS-2 shows some promise for use in PMS, but future refinements and additions are needed to develop items that are tailored to identify ASD in children with severe ID and specifically PMS. LAY SUMMARY: This study determined that a shortened form of the Social Responsiveness Scale, Second Edition (SRS-2) shows both promise and limitations for the characterization of autism symptomatology in individuals with Phelan-McDermid syndrome (PMS), a population characterized by intellectual disability (ID). Caution should be used when interpreting SRS-2 scores in individuals with ID and future research should modify existing items and develop new items to improve the SRS-2's ability to accurately characterize autism symptomatology in PMS. Autism Res 2020, 13: 1383-1396. © 2020 International Society for Autism Research, Wiley Periodicals, Inc. En ligne : http://dx.doi.org/10.1002/aur.2299 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=430 A scalable computational approach to assessing response to name in toddlers with autism / S. PEROCHON in Journal of Child Psychology and Psychiatry, 62-9 (September 2021)
[article]
Titre : A scalable computational approach to assessing response to name in toddlers with autism Type de document : Texte imprimé et/ou numérique Auteurs : S. PEROCHON, Auteur ; M. DI MARTINO, Auteur ; R. E. AIELLO, Auteur ; J. BAKER, Auteur ; Kimberly L. H. CARPENTER, Auteur ; Z. CHANG, Auteur ; S. COMPTON, Auteur ; N. DAVIS, Auteur ; B. EICHNER, Auteur ; S. ESPINOSA, Auteur ; J. FLOWERS, Auteur ; L. FRANZ, Auteur ; M. GAGLIANO, Auteur ; A. HARRIS, Auteur ; J. HOWARD, Auteur ; S. H. KOLLINS, Auteur ; E. M. PERRIN, Auteur ; P. RAJ, Auteur ; M. SPANOS, Auteur ; B. WALTER, Auteur ; G. SAPIRO, Auteur ; G. DAWSON, Auteur Article en page(s) : p.1120-1131 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnosis Autistic Disorder/diagnosis Child Child, Preschool Humans Infant Autism spectrum disorders assessment behavioral measures screening. Index. décimale : PER Périodiques Résumé : BACKGROUND: This study is part of a larger research program focused on developing objective, scalable tools for digital behavioral phenotyping. We evaluated whether a digital app delivered on a smartphone or tablet using computer vision analysis (CVA) can elicit and accurately measure one of the most common early autism symptoms, namely failure to respond to a name call. METHODS: During a pediatric primary care well-child visit, 910 toddlers, 17-37 months old, were administered an app on an iPhone or iPad consisting of brief movies during which the child's name was called three times by an examiner standing behind them. Thirty-seven toddlers were subsequently diagnosed with autism spectrum disorder (ASD). Name calls and children's behavior were recorded by the camera embedded in the device, and children's head turns were coded by both CVA and a human. RESULTS: CVA coding of response to name was found to be comparable to human coding. Based on CVA, children with ASD responded to their name significantly less frequently than children without ASD. CVA also revealed that children with ASD who did orient to their name exhibited a longer latency before turning their head. Combining information about both the frequency and the delay in response to name improved the ability to distinguish toddlers with and without ASD. CONCLUSIONS: A digital app delivered on an iPhone or iPad in real-world settings using computer vision analysis to quantify behavior can reliably detect a key early autism symptom-failure to respond to name. Moreover, the higher resolution offered by CVA identified a delay in head turn in toddlers with ASD who did respond to their name. Digital phenotyping is a promising methodology for early assessment of ASD symptoms. En ligne : http://dx.doi.org/10.1111/jcpp.13381 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456
in Journal of Child Psychology and Psychiatry > 62-9 (September 2021) . - p.1120-1131[article] A scalable computational approach to assessing response to name in toddlers with autism [Texte imprimé et/ou numérique] / S. PEROCHON, Auteur ; M. DI MARTINO, Auteur ; R. E. AIELLO, Auteur ; J. BAKER, Auteur ; Kimberly L. H. CARPENTER, Auteur ; Z. CHANG, Auteur ; S. COMPTON, Auteur ; N. DAVIS, Auteur ; B. EICHNER, Auteur ; S. ESPINOSA, Auteur ; J. FLOWERS, Auteur ; L. FRANZ, Auteur ; M. GAGLIANO, Auteur ; A. HARRIS, Auteur ; J. HOWARD, Auteur ; S. H. KOLLINS, Auteur ; E. M. PERRIN, Auteur ; P. RAJ, Auteur ; M. SPANOS, Auteur ; B. WALTER, Auteur ; G. SAPIRO, Auteur ; G. DAWSON, Auteur . - p.1120-1131.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 62-9 (September 2021) . - p.1120-1131
Mots-clés : Autism Spectrum Disorder/diagnosis Autistic Disorder/diagnosis Child Child, Preschool Humans Infant Autism spectrum disorders assessment behavioral measures screening. Index. décimale : PER Périodiques Résumé : BACKGROUND: This study is part of a larger research program focused on developing objective, scalable tools for digital behavioral phenotyping. We evaluated whether a digital app delivered on a smartphone or tablet using computer vision analysis (CVA) can elicit and accurately measure one of the most common early autism symptoms, namely failure to respond to a name call. METHODS: During a pediatric primary care well-child visit, 910 toddlers, 17-37 months old, were administered an app on an iPhone or iPad consisting of brief movies during which the child's name was called three times by an examiner standing behind them. Thirty-seven toddlers were subsequently diagnosed with autism spectrum disorder (ASD). Name calls and children's behavior were recorded by the camera embedded in the device, and children's head turns were coded by both CVA and a human. RESULTS: CVA coding of response to name was found to be comparable to human coding. Based on CVA, children with ASD responded to their name significantly less frequently than children without ASD. CVA also revealed that children with ASD who did orient to their name exhibited a longer latency before turning their head. Combining information about both the frequency and the delay in response to name improved the ability to distinguish toddlers with and without ASD. CONCLUSIONS: A digital app delivered on an iPhone or iPad in real-world settings using computer vision analysis to quantify behavior can reliably detect a key early autism symptom-failure to respond to name. Moreover, the higher resolution offered by CVA identified a delay in head turn in toddlers with ASD who did respond to their name. Digital phenotyping is a promising methodology for early assessment of ASD symptoms. En ligne : http://dx.doi.org/10.1111/jcpp.13381 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456