Early Language Milestone Scale-2

2013 ◽  
pp. 1033-1033
Author(s):  
Tony Charman ◽  
Susan Hepburn ◽  
Moira Lewis ◽  
Moira Lewis ◽  
Amanda Steiner ◽  
...  
Keyword(s):  
Early Language

App-titude: Top Apps for Tots

ASHA Leader ◽  
2013 ◽  
Vol 18 (2) ◽  
pp. 32-32
Author(s):  
Heidi Hanks
Keyword(s):  
Language Learning ◽  
Early Language ◽  
At Home

Leave your flashcards at home and try these five apps for early language learning.

Overheard: Know Your Morphemes

ASHA Leader ◽  
2013 ◽  
Vol 18 (7) ◽  
pp. 16-17
Author(s):  
Julie Wolter
Keyword(s):  
Language Development ◽  
Literacy Development ◽  
Morphological Awareness ◽  
Early Language ◽  
Online Chat ◽  
Early Language Development

Julie Wolter, an expert in early language development, recently led an online chat about the contribution of morphological awareness to semantic understanding and literacy development. Here's what the Leader overheard ...

Maternal Responsiveness Predicts Children's Early Language Achievement.

2001 ◽  
Author(s):  
C. S. Tamis-LeMonda ◽  
M. H. Bornstein ◽  
L. Baumwell
Keyword(s):  
Maternal Responsiveness ◽  
Language Achievement ◽  
Early Language

scholarly journals Variations in the Home Language Environment and Early Language Development in Rural China

2021 ◽  
Vol 18 (5) ◽  
pp. 2671
Author(s):  
Yue Ma ◽  
Laura Jonsson ◽  
Tianli Feng ◽  
Tyler Weisberg ◽  
Teresa Shao ◽  
...  
Keyword(s):  
Language Development ◽  
Child Language ◽  
Language Skills ◽  
Rural China ◽  
Home Language ◽  
Early Language ◽  
Early Language Development ◽  
Language Environment ◽  
Conversational Turns ◽  
Home Language Environment

The home language environment is critical to early language development and subsequent skills. However, few studies have quantitatively measured the home language environment in low-income, developing settings. This study explores variations in the home language environment and child language skills among households in poor rural villages in northwestern China. Audio recordings were collected for 38 children aged 20–28 months and analyzed using Language Environment Analysis (LENA) software; language skills were measured using the MacArthur–Bates Mandarin Communicative Developmental Inventories expressive vocabulary scale. The results revealed large variability in both child language skills and home language environment measures (adult words, conversational turns, and child vocalizations) with 5- to 6-fold differences between the highest and lowest scores. Despite variation, however, the average number of adult words and conversational turns were lower than found among urban Chinese children. Correlation analyses did not identify significant correlations between demographic characteristics and the home language environment. However, the results do indicate significant correlations between the home language environment and child language skills, with conversational turns showing the strongest correlation. The results point to a need for further research on language engagement and ways to increase parent–child interactions to improve early language development among young children in rural China.

scholarly journals Bayonet-shaped language development in autism with regression: a retrospective study

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
David Gagnon ◽  
Abderrahim Zeribi ◽  
Élise Douard ◽  
Valérie Courchesne ◽  
Borja Rodríguez-Herreros ◽  
...  
Keyword(s):  
Language Development ◽  
Linear Models ◽  
Autism Spectrum ◽  
Early Language ◽  
Verbal Iq ◽  
Logistic Regression Models ◽  
Language Level ◽  
Language Outcome ◽  
Almost All ◽  
The Relationship

Abstract Background Language delay is one of the major referral criteria for an autism evaluation. Once an autism spectrum diagnosis is established, the language prognosis is among the main parental concerns. Early language regression (ELR) is observed by 10–50% of parents but its relevance to late language level and socio-communicative ability is uncertain. This study aimed to establish the predictive value of ELR on the progression of language development and socio-communicative outcomes to guide clinicians in addressing parents’ concerns at the time of diagnosis. Methods We used socio-communicative, language, and cognitive data of 2,047 autism spectrum participants from the Simons Simplex Collection, aged 4–18 years (mean = 9 years; SD = 3.6). Cox proportional hazard and logistic regression models were used to evaluate the effect of ELR on language milestones and the probability of using complex and flexible language, as defined by the choice of ADOS module at enrollment. Linear models were then used to evaluate the relationship of ELR and non-verbal IQ with socio-communicative and language levels. Results ELR is associated with earlier language milestones but delayed attainment of fluent, complex, and flexible language. However, this language outcome can be expected for almost all autistic children without intellectual disability at 18 years of age. It is mostly influenced by non-verbal IQ, not ELR. The language and socio-communicative level of participants with flexible language, as measured by the Vineland and ADOS socio-communicative subscales, was not affected by ELR. Limitations This study is based on a relatively coarse measure of ultimate language level and relies on retrospective reporting of early language milestones and ELR. It does not prospectively document the age at which language catches up, the relationship between ELR and other behavioral areas of regression, nor the effects of intervention. Conclusions For autistic individuals with ELR and a normal level of non-verbal intelligence, language development follows a “bayonet shape” trajectory: early first words followed by regression, a plateau with limited progress, and then language catch up.

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