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      A Path Model of Expressive Vocabulary Skills in Initially Preverbal Preschool Children with Autism Spectrum Disorder

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          Abstract

          We examined direct and indirect paths involving receptive vocabulary and diversity of key consonants used in communication (DKCC) to improve understanding of why previously identified value-added predictors are associated with later expressive vocabulary for initially preverbal children with autism spectrum disorder (ASD; n = 87). Intentional communication, DKCC, and parent linguistic responses accounted for unique variance in later expressive vocabulary when controlling for mid-point receptive vocabulary, but responding to joint attention (RJA) did not. We did not confirm any indirect paths through mid-point receptive vocabulary. DKCC mediated the association between intentional communication and expressive vocabulary. Further research is needed to replicate the findings, test potentially causal relations, and provide a specific sequence of intervention targets for preverbal children with ASD.

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          Most cited references30

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          From communication to language—a psychological perspective

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            Modeling longitudinal change in the language abilities of children with autism: parent behaviors and child characteristics as predictors of change.

            The objective of the current study was to evaluate the patterns of longitudinal change in the language abilities of 28 children with autism during early and middle childhood. Results from fitting a series of multilevel models showed that children's rate of language growth was independently predicted by (a) children's responsiveness to others' bids for joint attention and (b) parents' responsiveness to their children's attention and activity during play. Both predictive relations could not be explained by initial variation in global developmental characteristics, such as IQ, mental age, or language abilities. These findings support a social?pragmatic view on language acquisition, which emphasizes the collaborative process through which children and their parents negotiate shared meaning.
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              Language assessment and development in toddlers with autism spectrum disorders.

              One of the primary diagnostic criteria for the diagnosis of autism spectrum disorders (ASD) is the presence of a language delay or impairment. Children with ASD are now being identified at significantly younger ages, and prior research has consistently found that early language skills in this population are heterogeneous and an important predictor for later outcome. The goal of this study was to systematically investigate language in toddlers with ASD and to identify early correlates of receptive and expressive language in this population. The study included 164 toddlers with ASD between the ages of 18 and 33 months who were evaluated on several cognitive, language and behavioral measures. Results suggested good agreement among different measures of early language, including direct assessment and parent report measures. Significant concurrent predictors of receptive language included gestures, non-verbal cognitive ability and response to joint attention. For expressive language, the most significant predictors were non-verbal cognitive ability, gestures and imitation. These findings have important implications for intervention programs targeting this population.
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                Author and article information

                Contributors
                Journal
                7904301
                4537
                J Autism Dev Disord
                J Autism Dev Disord
                Journal of autism and developmental disorders
                0162-3257
                1573-3432
                17 March 2017
                April 2017
                01 April 2018
                : 47
                : 4
                : 947-960
                Affiliations
                Doctoral student, Department of Hearing and Speech Sciences, Vanderbilt University
                Professor, Department of Special Education, Vanderbilt University
                Professor, Division of Speech and Hearing Sciences, University of North Carolina at Chapel Hill
                Author notes
                Correspondence concerning this article should be addressed to Jena McDaniel, jena.c.mcdaniel@ 123456vanderbilt.edu , 615-936-5136, or MCE 8310 South Tower, 1215 21st Avenue South, Nashville, TN 37232
                Article
                PMC5396948 PMC5396948 5396948 nihpa856813
                10.1007/s10803-016-3016-x
                5396948
                28251393
                543de399-3fbc-41b8-9272-96402fb1060f
                History
                Categories
                Article

                autism spectrum disorder,language,vocabulary,preverbal,predictors,path modeling

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