[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 |
|
From high school to postsecondary education, training, and employment: Predicting outcomes for young adults with autism spectrum disorder in Autism & Developmental Language Impairments, 7 (January-December 2022)
