We investigated the extent to which working memory and behavioral attention predicted reading and listening comprehension in grades 1 through 3 and, whether their relative contributions differed by modality and grade. Separate grade samples (N = 370; ns = 125, 123, and 122 for grades 1, 2, and 3 respectively) completed multiple measures of word reading, working memory, and parallel measures of reading and listening comprehension. Teachers and parents provided behavioral attention ratings. Concurrently, working memory was more important for listening than for reading comprehension and predicted significant variance in both modalities across grades, after controlling for background measures and behavioral attention ratings. For both modalities, working memory explained the greatest proportion of variance in grade 3. Behavioral attention predicted variance in grades 1 and 2 for reading comprehension and all grades for listening comprehension. Subsidiary analyses demonstrated that the influence of working memory and behavioral attention on reading comprehension was indirect, through word reading and listening comprehension both concurrently and also longitudinally between grades 1–3. These findings indicate that delivery of classroom materials orally will not always be beneficial to the young beginner reader or one who struggles with word decoding, and that children with poor working memory/attention may require additional support to access meaning from both written and spoken text.
Purpose
Children with dyslexia have speech production deficits in a variety of spoken language contexts. In this article, we discuss the nature of speech production errors in children with dyslexia, including those who have a history of speech sound disorder and those who do not, to familiarize speech-language pathologists with speech production–specific risk factors that may help predict or identify dyslexia in young children.
Method
In this tutorial, we discuss the role of a phonological deficit in children with dyslexia and how this may manifest as speech production errors, sometimes in conjunction with a speech sound disorder but sometimes not. We also briefly review other factors outside the realm of phonology that may alert the speech-language pathologist to possible dyslexia.
Results
Speech-language pathologists possess unique knowledge that directly contributes to the identification and remediation of children with dyslexia. We present several clinical recommendations related to speech production deficits in children with dyslexia. We also review what is known about how and when children with speech sound disorder are most at risk for dyslexia.
Conclusion
Speech-language pathologists have a unique opportunity to assist in the identification of young children who are at risk for dyslexia.
Purpose: The aim of this study was to explore the role of working memory processes as a possible cognitive underpinning of persistent speech sound disorders (SSD). Method: Forty school-aged children were enrolled; 20 children with persistent SSD (P-SSD) and 20 typically developing children. Children participated in three working memory tasks -one to target each of the components in Baddeley's working memory model: phonological loop, visual spatial sketchpad and central executive. Result: Children with P-SSD performed poorly only on the phonological loop tasks compared to their typically developing age-matched peers. However, mediation analyses revealed that the relation between working memory and a P-SSD was reliant upon nonverbal intelligence. Conclusion: These results suggest that co-morbid low-average nonverbal intelligence are linked to poor working memory in children with P-SSD. Theoretical and clinical implications are discussed.
The purpose of this study was to examine how school-based speech-language pathologists (SLPs) maintained clinical services via teletherapy during the COVID-19 pandemic closures. School-based SLPs in the United States were invited to participate in an anonymous online survey. Questions relevant to this study gathered information regarding a) provision of teletherapy following COVID-19 school closures, b) the types of technologies used to deliver teletherapy and supports offered from school districts, and c) challenges to providing consistent therapy. Descriptive results indicate that over 60% of responding SLPs with complete data (n ¼ 1109) provided teletherapy to all or some students on their caseloads. A variety of virtual methods were used, but Zoom and Google hangouts were the most commonly used technologies. Although some SLPs received training to deliver teletherapy (16%), many received no support from their district to maintain service provision (25%). The most frequently noted barriers to providing therapy included poor attendance of online therapy sessions and parenting their own children simultaneously. School-based SLPs were largely successful in maintaining speech-language therapy services to children on their caseloads. Information regarding the types of technologies used and common challenges can inform future teletherapy training for SLPs should future school closures occur.More than 1 million children in the United States receive school-based speech and/or language services (American Speech-Language-Hearing Association [ASHA], 2020). These services are critical for supporting children's educational attainment, and for many, it may be the only speech and language support they receive. In the absence of school-based supports, children with speech and language difficulties are at heightened risk for long-term delays in not only their speech and language development, but reading
These results provide further evidence regarding the heterogeneity of children with language impairment served in the public schools, indicating that differences may be best conceptualized along a continuum of severity.
Children with dyslexia and/or specific language impairment have marked deficits in phonological processing, putting them at an increased risk for reading deficits. The current study sought to examine the influence of word-level phonological and lexical characteristics on phonological awareness. Children with dyslexia and/or specific language impairment were tested using a phoneme deletion task in which stimuli differed orthogonally by sound similarity and neighborhood density. Phonological and lexical factors influenced performance differently across groups. Children with dyslexia appeared to have a more immature and aberrant pattern of phonological and lexical influence (e.g., favoring sparse and similar features). Children with SLI performed less well than children who were typically developing, but followed a similar pattern of performance (e.g., favoring dense and dissimilar features). Collectively, our results point to both quantitative and qualitative differences in lexical organization and phonological representations in children with SLI and in children with dyslexia.
These results highlight the considerable variability in the frequency of home literacy interactions of children with LI. Future work examining relations between familial reading practices and literacy outcomes for children with LI is warranted.
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