Using an Observational Framework to investigate adult language input to young children in a naturalistic environment

The correlation between the communicative intent of parents, in terms of their expectation of a response and the response patterns of young children aged 23—25 months during parent—child interactions, was investigated. An Observational Framework was used to code these parameters in interactions between 36 children and their mothers. The children were assigned by cluster analysis to `advanced', `typical' and `delayed' language groups and their responses were coded with respect to the degree of correctness or appropriateness within the interaction. Differences in both the parental response expectations and the children's response patterns across the three clusters are discussed

Behaviour state analysis in Rett syndrome: Continuous data reliability measurement

Awareness of optimal behaviour states of children with profound intellectual disability has been reported in the literature as a potentially useful tool for planning intervention within this population. Some arguments have been raised, however, which question the reliability and validity of previously published work on behaviour state analysis. This article sheds light on the debate by presenting two stages of a study of behaviour state analysis for eight girls with Rett syndrome. The results support Mudford, Hogg, and Roberts' (1997, 1999) concerns with the pooling of participant data. The results of Stage 2 also suggest, however, that most categories of behaviour state can be reliably distinguished once definitions of behaviours for each state are clearly defined

Investigating adult language input and young children's responses in naturalistic environments: An Observational Framework

This paper reports the design and trial of an original Observational Framework for quantitative investigation of young children's responses to adult language in their typical language learning environments. The Framework permits recording of both the response expectation of the adult utterances, and the degree of compliance in the child's responses. The former are evaluated under the categories of Response Required (RR), Response Not Required (RNR), and Other Directed (OD) spoken to a child other than the one who responds); the latter, based on both verbal and non-verbal behaviours, as Compliance (correct in the context), Valid (correct in another context), Ambiguous (unable to be classified), Acknowledgement, Inappropriate and No Response. Details are given for the initial application of the Observational Framework with 10 children in two- or three-year-old childcare centre classrooms. The findings that RR utterances in the adult input were more frequently addressed to younger children, while RNR utterances were more prevalent in the older classroom are discussed in terms of both adult and child communicative behaviours and the practicality of using the Observational Framework in naturalistic conditions

Case against diagnosing developmental language disorder by default: A single case study of acquired aphasia associated with convulsive disorder

The aim of this article is to inform the diagnostic kwnowledge base for professionals working in the field of language disorders when classic symptoms, characteristics and sequences are not found. The information reveals the risk of diagnosis with a developmental language disorder (DLD) by default when no underlying cause can be readily identified. Diagnostic history was obtained retrospectively from parental interview and contemporary professional reports. Ten years of diagnostic investigations are reported in time-related sequences. Due to variability and inconsistency in his receptive and expressive language skills, the case-study participant (David) was unable to be reliably assessed using standardized tests. Therefore, numerical data and statistical analyses are not reported. The report, however, details the multitude of investigations and opinions obtained before a definitive diagnosis of acquired aphasia associated with convulsive disorder (AACD) was made. Davidĝ€™s history cautions that diagnosing developmental language disorder when no underlying cause for the impairment is recognized may allow underlying disorders and conditions to progress. Clinicians faced with a child whose skill profile is not consistent with a specific diagnosis or expected criteria are thus advised to pursue a definitive diagnosis rather than accept one by default

Adult language input in the early childhood educational setting

Age-related changes in the adult language addressed to children aged 2;0-4;0 years in polyadic conditions were investigated in Australian childcare centres. The language that 21 staff members addressed to these children was coded for multiple variables in the broad social categories of prosody, context, speech act and gesture. The linguistic components were coded within the categories of phonology, lexicon, morphology, syntax and referential deixis. Minimal age-related differences were found. Explanations for the similarity of the adult language input across the age groups within the early childhood educational environment, will be discusse

The COronavirus Pandemic Epidemiology (COPE) Consortium: A Call to Action

The rapid pace of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2; COVID-19) pandemic presents challenges to the real-time collection of population-scale data to inform near-term public health needs as well as future investigations. We established the COronavirus Pandemic Epidemiology (COPE) consortium to address this unprecedented crisis on behalf of the epidemiology research community. As a central component of this initiative, we have developed a COVID Symptom Study (previously known as the COVID Symptom Tracker) mobile application as a common data collection tool for epidemiologic cohort studies with active study participants. This mobile application collects information on risk factors, daily symptoms, and outcomes through a user-friendly interface that minimizes participant burden. Combined with our efforts within the general population, data collected from nearly 3 million participants in the United States and United Kingdom are being used to address critical needs in the emergency response, including identifying potential hot spots of disease and clinically actionable risk factors. The linkage of symptom data collected in the app with information and biospecimens already collected in epidemiology cohorts will position us to address key questions related to diet, lifestyle, environmental, and socioeconomic factors on susceptibility to COVID-19, clinical outcomes related to infection, and long-term physical, mental health, and financial sequalae. We call upon additional epidemiology cohorts to join this collective effort to strengthen our impact on the current health crisis and generate a new model for a collaborative and nimble research infrastructure that will lead to more rapid translation of our work for the betterment of public health