Chapter 5. Referring expressions and developmental language disorders

Author(s):  
Stefano Rezzonico ◽  
Mélanie Bernasconi ◽  
Geneviève de Weck ◽  
Christine da Silva-Genest ◽  
Stéphane Jullien
2005 ◽  
Vol 26 (1) ◽  
pp. 41-64 ◽  
Author(s):  
CAROLYN B. MERVIS ◽  
BYRON F. ROBINSON

Accurate phenotypic description is critical for the success of studies of the genetic basis for developmental language disorders. An important purpose of such a phenotypic description is to differentiate the language and associated cognitive profiles of syndromes or other developmental language disorders with diverse genotypes. In this paper we consider six measurement issues relevant to genotype/phenotype research and profiling: (a) Who is the target population? (b) What is the “ideal” measure of a single component of language? (c) What is the “ideal” measure(s) for quantifying the language (or language and cognitive) profile for a particular syndrome or disorder? (d) What are the special measurement issues for infants and young children? (e) How do we develop a profile? (f) What are the unresolved issues?


1975 ◽  
Vol 18 (2) ◽  
pp. 229-241 ◽  
Author(s):  
Dorothy M. Aram ◽  
James E. Nation

Tests to measure comprehension, formulation, and repetition of certain phonologic, syntactic, and semantic aspects of language were administered to 47 children who had developmental language disorders. A factor analysis of the resultant scores indicated that three factors were present in the data. These factors are presented as six patterns of language performance, one for high loadings on the factor and one for low loadings. The six patterns are (1) repetition strength (Factor I, high); (2) nonspecific formulation-repetition deficit (Factor I, low); (3) generalized low performance (Factor II, high); (4) phonologic comprehension-formulation-repetition deficit (Factor II, low); (5) comprehension deficit (Factor III, high); and (6) formulation-repetition deficit (Factor III, low). Possible relations among these patterns and nonlinguistic measures (sex, race, age, nonverbal intelligence, socioeconomic status, and status of the peripheral speech mechanism) were investigated. Two of the patterns of language performance were found to be related significantly to age. On Factor II, the younger children tended to get high loadings (generalized low performance) while the older children tended to get low loadings (phonologic comprehension-formulation-repetition deficit).


2021 ◽  
Author(s):  
Courtenay Norbury ◽  
Sarah Louise Griffiths ◽  
George Vamvakas ◽  
Gillian Baird ◽  
Tony Charman ◽  
...  

Objectives. The purpose of this study was to determine the changing prevalence of developmental language disorders at different quintiles of the Income Deprivation Affecting Children Index (IDACI), a measure of neighbourhood deprivation. In addition, this study investigated the long term association of IDACI rank with growth in language and literacy skills for children with and without language disorder over a six year period.Design. Prospective, population-based, longitudinal cohort study.Setting. State-maintained primary schools in Surrey, England.Participants and procedure. Teachers rated the language skills of 7267 children starting a state-maintained school in 2011 (aged 4;9-5;10, 59% of all eligible children). Comprehensive language and literacy assessment was conducted with a monolingual sub-sample in Year 1 (n = 529, age 5-6), Year 3 (n = 499, age 7-8), and Year 6 (n = 384, age 10-11).Analytic methods. Logistic regression determined the association of IDACI scores and teacher-rated language proficiency. Structural Equation Models using auxiliary variables estimated the association of IDACI and prevalence of developmental Language Disorder (LD) in Year 1, and IDACI and language and literacy growth from Years 1 – 6.Results. Predicted probability of language disorder was 2.5 times greater at the 10th centile of IDACI rank (.19 [.11, .27]) versus the 90th centile (.07 [.04, .09]). IDACI rank did not associate with growth in raw scores on measures of vocabulary, grammar, or word reading. Socioeconomic gaps in vocabulary and grammar were ameliorated when language status at school entry was accounted for, but persisted for word reading. Conclusions. The association of neighbourhood disadvantage with language and literacy primarily reflects higher rates of language disorder in areas of socio-economic deprivation. Interventions that alleviate deprivation and enhance the language and literacy experiences of disadvantaged children could reduce socioeconomic attainment gaps. However, the persistence of language disorder suggests on-going support is required to attenuate personal and societal cost.


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