Early childhood educators’ knowledge, beliefs, education, experiences, and children’s language- and literacy-learning opportunities: What is the connection?

In this study, we investigated how multiple types of knowledge and beliefs, along with holding an early childhood-related degree and teaching experience, were linked to amounts of early childhood educators’ language and literacy instruction. Quantile regression was used to estimate associations between these variables along a continuum of language and literacy instruction for 222 early childhood educators. In general, low levels of language- and literacy-related instruction were observed; however, the use of quantile regression afforded unique insight into the associations of knowledge, beliefs, education, and teaching experience with instruction when levels of instruction were sufficient. These findings would not have been visible with traditional, linear regression models. Specifically, two types of knowledge were examined: disciplinary-related content knowledge about the structure of language and knowledge for use in teaching language and literacy to young children. Only educators’ disciplinary content knowledge was associated with amount of instruction. Associations between beliefs about language and literacy instruction and amount of instruction were less consistent. Generally, holding an early childhood related degree was positively associated with language and literacy instruction whereas teaching experience was negatively associated with the amount of instruction. Implications for studying educators and understanding the associations among educator characteristics and instruction are discussed

Relations between Home Literacy Environment, Child Characteristics, and Print Knowledge for Preschool Children with Language Impairment

To contribute to the modest body of work examining the home literacy environment (HLE) and emergent literacy outcomes for children with disabilities, this study addressed two aims: (a) to determine the unique contributions of the HLE on print knowledge of preschool children with language impairment (LI); and (b) to identify whether specific child characteristics (oral language ability, print interest) moderated these relations. The sample consisted of 119 preschool children with LI. HLE was conceptualized as frequency of storybook reading and literacy teaching during book reading. Frequency of storybook reading was a unique predictor of print knowledge, which is consistent with research on children with typical language. Literacy teaching did not predict print knowledge, which diverges from research on children with typical language. No interactions between the HLE and child characteristics were significant, but language ability and print interest play a role in understanding individual differences in literacy development

Multiorgan MRI findings after hospitalisation with COVID-19 in the UK (C-MORE): a prospective, multicentre, observational cohort study

Introduction: The multiorgan impact of moderate to severe coronavirus infections in the post-acute phase is still poorly understood. We aimed to evaluate the excess burden of multiorgan abnormalities after hospitalisation with COVID-19, evaluate their determinants, and explore associations with patient-related outcome measures. Methods: In a prospective, UK-wide, multicentre MRI follow-up study (C-MORE), adults (aged ≥18 years) discharged from hospital following COVID-19 who were included in Tier 2 of the Post-hospitalisation COVID-19 study (PHOSP-COVID) and contemporary controls with no evidence of previous COVID-19 (SARS-CoV-2 nucleocapsid antibody negative) underwent multiorgan MRI (lungs, heart, brain, liver, and kidneys) with quantitative and qualitative assessment of images and clinical adjudication when relevant. Individuals with end-stage renal failure or contraindications to MRI were excluded. Participants also underwent detailed recording of symptoms, and physiological and biochemical tests. The primary outcome was the excess burden of multiorgan abnormalities (two or more organs) relative to controls, with further adjustments for potential confounders. The C-MORE study is ongoing and is registered with ClinicalTrials.gov, NCT04510025. Findings: Of 2710 participants in Tier 2 of PHOSP-COVID, 531 were recruited across 13 UK-wide C-MORE sites. After exclusions, 259 C-MORE patients (mean age 57 years [SD 12]; 158 [61%] male and 101 [39%] female) who were discharged from hospital with PCR-confirmed or clinically diagnosed COVID-19 between March 1, 2020, and Nov 1, 2021, and 52 non-COVID-19 controls from the community (mean age 49 years [SD 14]; 30 [58%] male and 22 [42%] female) were included in the analysis. Patients were assessed at a median of 5·0 months (IQR 4·2–6·3) after hospital discharge. Compared with non-COVID-19 controls, patients were older, living with more obesity, and had more comorbidities. Multiorgan abnormalities on MRI were more frequent in patients than in controls (157 [61%] of 259 vs 14 [27%] of 52; p<0·0001) and independently associated with COVID-19 status (odds ratio [OR] 2·9 [95% CI 1·5–5·8]; padjusted=0·0023) after adjusting for relevant confounders. Compared with controls, patients were more likely to have MRI evidence of lung abnormalities (p=0·0001; parenchymal abnormalities), brain abnormalities (p<0·0001; more white matter hyperintensities and regional brain volume reduction), and kidney abnormalities (p=0·014; lower medullary T1 and loss of corticomedullary differentiation), whereas cardiac and liver MRI abnormalities were similar between patients and controls. Patients with multiorgan abnormalities were older (difference in mean age 7 years [95% CI 4–10]; mean age of 59·8 years [SD 11·7] with multiorgan abnormalities vs mean age of 52·8 years [11·9] without multiorgan abnormalities; p<0·0001), more likely to have three or more comorbidities (OR 2·47 [1·32–4·82]; padjusted=0·0059), and more likely to have a more severe acute infection (acute CRP >5mg/L, OR 3·55 [1·23–11·88]; padjusted=0·025) than those without multiorgan abnormalities. Presence of lung MRI abnormalities was associated with a two-fold higher risk of chest tightness, and multiorgan MRI abnormalities were associated with severe and very severe persistent physical and mental health impairment (PHOSP-COVID symptom clusters) after hospitalisation. Interpretation: After hospitalisation for COVID-19, people are at risk of multiorgan abnormalities in the medium term. Our findings emphasise the need for proactive multidisciplinary care pathways, with the potential for imaging to guide surveillance frequency and therapeutic stratification

Early childhood educators’ knowledge, beliefs, education, experiences, and children’s language- and literacy-learning opportunities: What is the connection?

In this study, we investigated how multiple types of knowledge and beliefs, along with holding an early childhood-related degree and teaching experience, were linked to amounts of early childhood educators’ language and literacy instruction. Quantile regression was used to estimate associations between these variables along a continuum of language and literacy instruction for 222 early childhood educators. In general, low levels of language- and literacy-related instruction were observed; however, the use of quantile regression afforded unique insight into the associations of knowledge, beliefs, education, and teaching experience with instruction when levels of instruction were sufficient. These findings would not have been visible with traditional, linear regression models. Specifically, two types of knowledge were examined: disciplinary-related content knowledge about the structure of language and knowledge for use in teaching language and literacy to young children. Only educators’ disciplinary content knowledge was associated with amount of instruction. Associations between beliefs about language and literacy instruction and amount of instruction were less consistent. Generally, holding an early childhood related degree was positively associated with language and literacy instruction whereas teaching experience was negatively associated with the amount of instruction. Implications for studying educators and understanding the associations among educator characteristics and instruction are discussed

Early childhood language gains, kindergarten readiness, and Grade 3 reading achievement

In this preregistered study, we used latent change score models to address two research aims: (1) whether preschool-aged children\u27s language gains, over a year of early childhood education, were associated with later performance on state-mandated, literacy-focused kindergarten readiness and Grade 3 reading achievement assessments, and (2) whether gains in language, a more complex skill, predicted these outcomes after controlling for more basic emergent literacy skills. There were 724 participating children (mean = 57 months; 51% male; 76% White, 12% Black, 6% multiple races, and 5% Hispanic or Latino). We found that language gains significantly predicted kindergarten readiness when estimated in isolation (effect = 0.24 SDs, p \u3c .001), but not when gains in letter knowledge and phonological awareness were also included

Best practices for addressing missing data through multiple imputation

A common challenge in developmental research is the amount of incomplete and missing data that occurs from respondents failing to complete tasks or questionnaires, as well as from disengaging from the study (i.e., attrition). This missingness can lead to biases in parameter estimates and, hence, in the interpretation of findings. These biases can be addressed through statistical techniques that adjust for missing data, such as multiple imputation. Although multiple imputation is highly effective, it has not been widely adopted by developmental scientists given barriers such as lack of training or misconceptions about imputation methods. Utilizing default methods within statistical software programs like listwise deletion is common but may introduce additional bias. This manuscript is intended to provide practical guidelines for developmental researchers to follow when examining their data for missingness, making decisions about how to handle that missingness and reporting the extent of missing data biases and specific multiple imputation procedures in publications