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From high school to postsecondary education, training, and employment: Predicting outcomes for young adults with autism spectrum disorder / Scott H. YAMAMOTO in Autism & Developmental Language Impairments, 7 (January-December 2022)
[article]
Titre : From high school to postsecondary education, training, and employment: Predicting outcomes for young adults with autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Scott H. YAMAMOTO, Auteur ; Charlotte Y. ALVERSON, Auteur Langues : Anglais (eng) Mots-clés : Autism spectrum disorder post-school outcomes predictive analytics multilevel logistic regression machine learning receiver operating characteristic curve Index. décimale : PER Périodiques Résumé : Background and AimsThe fastest growing group of students with disabilities are those with Autism Spectrum Disorder (ASD). States annually report on post-high school outcomes (PSO) of exited students. This study sought to fill two gaps in the literature related to PSO for exited high-school students with ASD and the use of state data and predictive modeling.MethodsData from two states were analyzed using two predictive analytics (PA) methods: multilevel logistic regression and machine learning. The receiver operating characteristic curve (ROC) analysis was used to assess predictive performance.ResultsData analyses produced two results. One, the strongest predictor of PSO for exited students with ASD was graduating from high school. Two, machine learning performed better than multilevel logistic regression in predicting PSO engagement across the two states.ConclusionThis study contributed two new and important findings to the literature: (a) PA models should be applied to state PSO data because they produce useful information, and (b) PA models are accurate and reliable over time.ImplicationsThese findings can be used to support state and local educators to make decisions about policies, programs, and practices for exited high school students with ASD, to help them successfully transition to adult life. En ligne : https://doi.org/10.1177/23969415221095019 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477
in Autism & Developmental Language Impairments > 7 (January-December 2022)[article] From high school to postsecondary education, training, and employment: Predicting outcomes for young adults with autism spectrum disorder [Texte imprimé et/ou numérique] / Scott H. YAMAMOTO, Auteur ; Charlotte Y. ALVERSON, Auteur.
Langues : Anglais (eng)
in Autism & Developmental Language Impairments > 7 (January-December 2022)
Mots-clés : Autism spectrum disorder post-school outcomes predictive analytics multilevel logistic regression machine learning receiver operating characteristic curve Index. décimale : PER Périodiques Résumé : Background and AimsThe fastest growing group of students with disabilities are those with Autism Spectrum Disorder (ASD). States annually report on post-high school outcomes (PSO) of exited students. This study sought to fill two gaps in the literature related to PSO for exited high-school students with ASD and the use of state data and predictive modeling.MethodsData from two states were analyzed using two predictive analytics (PA) methods: multilevel logistic regression and machine learning. The receiver operating characteristic curve (ROC) analysis was used to assess predictive performance.ResultsData analyses produced two results. One, the strongest predictor of PSO for exited students with ASD was graduating from high school. Two, machine learning performed better than multilevel logistic regression in predicting PSO engagement across the two states.ConclusionThis study contributed two new and important findings to the literature: (a) PA models should be applied to state PSO data because they produce useful information, and (b) PA models are accurate and reliable over time.ImplicationsThese findings can be used to support state and local educators to make decisions about policies, programs, and practices for exited high school students with ASD, to help them successfully transition to adult life. En ligne : https://doi.org/10.1177/23969415221095019 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477 The sensitivity and specificity of the social communication questionnaire for autism spectrum with respect to age / Lucy BARNARD-BRAK in Autism Research, 9-8 (August 2016)
[article]
Titre : The sensitivity and specificity of the social communication questionnaire for autism spectrum with respect to age Type de document : Texte imprimé et/ou numérique Auteurs : Lucy BARNARD-BRAK, Auteur ; Adam BREWER, Auteur ; Steven R. CHESNUT, Auteur ; David RICHMAN, Auteur ; Anna Marie SCHAEFFER, Auteur Article en page(s) : p.838-845 Langues : Anglais (eng) Mots-clés : Social Communication Questionnaire assessment screener sensitivity specificity receiver operating characteristic curve National Database for Autism Research autism-spectrum disorders Index. décimale : PER Périodiques Résumé : The age neutrality of the Social Communication Questionnaire (SCQ) was examined as a common screener for ASD. Mixed findings have been reported regarding the recommended cutoff score's ability to accurately classify an individual as at-risk for autism spectrum disorder (ASD) (sensitivity) versus accurately classifying an individual as not at-risk for ASD (specificity). With a sample from the National Database for Autism Research, this study examined the SCQ's sensitivity versus specificity. Analyses indicated that the actual sensitivity and specificity scores were lower than initially reported by the creators of the SCQ. Autism Res 2016, 9: 838–845. © 2015 En ligne : http://dx.doi.org/10.1002/aur.1584 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=293
in Autism Research > 9-8 (August 2016) . - p.838-845[article] The sensitivity and specificity of the social communication questionnaire for autism spectrum with respect to age [Texte imprimé et/ou numérique] / Lucy BARNARD-BRAK, Auteur ; Adam BREWER, Auteur ; Steven R. CHESNUT, Auteur ; David RICHMAN, Auteur ; Anna Marie SCHAEFFER, Auteur . - p.838-845.
Langues : Anglais (eng)
in Autism Research > 9-8 (August 2016) . - p.838-845
Mots-clés : Social Communication Questionnaire assessment screener sensitivity specificity receiver operating characteristic curve National Database for Autism Research autism-spectrum disorders Index. décimale : PER Périodiques Résumé : The age neutrality of the Social Communication Questionnaire (SCQ) was examined as a common screener for ASD. Mixed findings have been reported regarding the recommended cutoff score's ability to accurately classify an individual as at-risk for autism spectrum disorder (ASD) (sensitivity) versus accurately classifying an individual as not at-risk for ASD (specificity). With a sample from the National Database for Autism Research, this study examined the SCQ's sensitivity versus specificity. Analyses indicated that the actual sensitivity and specificity scores were lower than initially reported by the creators of the SCQ. Autism Res 2016, 9: 838–845. © 2015 En ligne : http://dx.doi.org/10.1002/aur.1584 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=293