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Lancaster, Hope S.; Camarata, Stephen – International Journal of Language & Communication Disorders, 2019
Background: There is considerable variability in the presentation of developmental language disorder (DLD). Disagreement amongst professionals about how to characterize and interpret the variability complicates both the research on understanding the nature of DLD and the best clinical framework for diagnosing and treating children with DLD. We…
Descriptors: Language Impairments, Bayesian Statistics, Individual Differences, Pervasive Developmental Disorders
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Mahoney, Gerald; Solomon, Richard – Journal of Autism and Developmental Disorders, 2016
This investigation is a secondary analysis of data from a randomized control trial of the PLAY Home Consultation Intervention Program which was conducted with 112 preschool children with Autism Spectrum Disorders and their parents (Solomon et al. in "J Dev Behav Pediatr" 35:475-485, 2014). Subjects were randomly assigned to either a…
Descriptors: Preschool Children, Autism, Pervasive Developmental Disorders, Early Intervention
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Anderson, Ariana; Locke, Jill; Kretzmann, Mark; Kasari, Connie – Autism: The International Journal of Research and Practice, 2016
Although children with autism spectrum disorder are frequently included in mainstream classrooms, it is not known how their social networks change compared to typically developing children and whether the factors predictive of this change may be unique. This study identified and compared predictors of social connectivity of children with and…
Descriptors: Social Networks, Network Analysis, Elementary School Students, Autism
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Ament, Katarina; Mejia, Amanda; Buhlman, Rebecca; Erklin, Shannon; Caffo, Brian; Mostofsky, Stewart; Wodka, Ericka – Journal of Autism and Developmental Disorders, 2015
To evaluate evidence for motor impairment specificity in autism spectrum disorder (ASD) and attention deficit/hyperactivity disorder (ADHD). Children completed performance-based assessment of motor functioning (Movement Assessment Battery for Children: MABC-2). Logistic regression models were used to predict group membership. In the models…
Descriptors: Autism, Pervasive Developmental Disorders, Attention Deficit Hyperactivity Disorder, Children
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Wong, Venus W.; Ruble, Lisa A.; Yu, Yue; McGrew, John H. – Exceptional Children, 2017
Teacher stress and burnout have a detrimental effect on the stability of the teaching workforce. However, the possible consequences of teacher burnout on teaching quality and on student learning outcomes are less clear, especially in special education settings. We applied Maslach and Leiter's (1999) model to understand the direct effects of…
Descriptors: Teacher Burnout, Educational Quality, Stress Variables, Special Education
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Bedford, Rachael; Pickles, Andrew; Gliga, Teodora; Elsabbagh, Mayada; Charman, Tony; Johnson, Mark H. – Developmental Science, 2014
Emerging findings from studies with infants at familial high risk for autism spectrum disorder (ASD), owing to an older sibling with a diagnosis, suggest that those who go on to develop ASD show early impairments in the processing of stimuli with both social and non-social content. Although ASD is defined by social-communication impairments and…
Descriptors: Infants, Autism, Attention, Eye Movements
Dyehouse, Melissa A. – ProQuest LLC, 2009
This study compared the model-data fit of a parametric item response theory (PIRT) model to a nonparametric item response theory (NIRT) model to determine the best-fitting model for use with ordinal-level alternate assessment ratings. The PIRT Generalized Graded Unfolding Model (GGUM) was compared to the NIRT Mokken model. Chi-square statistics…
Descriptors: Social Adjustment, Student Adjustment, Nonparametric Statistics, Item Response Theory