Exploring the Predictors of Enrollment and Kindergarten Entry Skills of Spanish-Speaking Dual Language Learners in a Mixed-Delivery System of Public Preschool.

Dual language learners (DLLs) - young children learning and developing in multiple languages - make up nearly one-third of the population of public preschool attendees in the U.S. Yet despite the large number of DLLs attending the nation's largest public preschool programs - Head Start and state-funded public pre-k - little is known about DLL families' patterns of selection into each program, nor about the relative benefits of each program for DLLs' early learning. The present study uses contemporary data from a mixed-delivery system of public preschool in Tulsa, Oklahoma to examine predictors of attending Head Start or Tulsa Public Schools (TPS) pre-k, as well as whether program type is associated with differences in DLLs' kindergarten entry skills. Among DLLs from economically-disadvantaged families, we find some limited differences between DLLs who selected into TPS public pre-k versus Head Start: TPS public pre-k attenders were more likely to have married mothers, parents who chose a preschool program based on logistical opportunities/constraints rather than programmatic preferences, and greater attention/impulse control skills at the start of preschool than were Head Start attenders. We then examined the association between program type and children's academic and self-regulation skills at kindergarten entry. Controlling for predictors of differential enrollment and children's earlier skills, we find no differences in kindergarten skills across students who attended Head Start and TPS public pre-k, suggesting both programs prepare DLLs equally well for school success.

A deeper dive, a wider pool: Preschool benefits sustain to first grade on a broader set of outcomes.

The current study provides new evidence on the sustained benefits of preschool attendance on a broader range of skills-both academic and executive functioning (EF)-than many prior studies have examined. Using propensity score methods, we predicted children's (N = 920, M age at 1st = 6.5 years) literacy, language, math, and EF skills in kindergarten and again at first-grade (2020-2021) based on whether they had attended public preschool (school-based pre-k; Head Start) versus no preschool. In our race-ethnically diverse sample of children (48% Hispanic/Latinx; 21% Black; 14% White; 9% Native American; 9% multiracial) from low-income families, preschool attenders showed advantages on English literacy, English language, and math in kindergarten, which mostly persisted into first-grade. Preschool did not boost EF in kindergarten or first-grade.

Both sides of the screen: Predictors of parents' and teachers' depression and food insecurity during COVID-19-related distance learning.

The COVID-19 pandemic has placed unprecedented strains on both parents and teachers, both of whose mental and financial hardships have serious implications for young children's wellbeing. We drew on an existing cohort study of families with low incomes in Tulsa, OK when children were in their Spring of first grade in 2020. We surveyed parents and teachers - children's caregivers on both sides of the screen during distance learning - before and after the COVID-19 pandemic hit and schools were closed. We first compared the proportion of parents and teachers who were depressed and food-insecure before and after the pandemic struck. We then used pre-pandemic characteristics of parents and teachers in separate models to predict their depression and food insecurity during the pandemic. Results showed that rates of depression among both parents and teachers spiked after COVID-19, and food insecurity rates also increased among parents. For both parents and teachers, the strongest predictor of depression during COVID-19 was having experienced depression before the pandemic. Similarly, the strongest predictor of food insecurity during COVID-19 was having experienced food insecurity beforehand. These results point intervention efforts towards identifying the caregivers of children in low-income contexts whose mental and financial wellbeing are likely to be most compromised during this and perhaps future disasters.

Hispanic English language learner families and food insecurity during COVID-19: Risk factors and systems of food support.

INTRODUCTION: Although many low-income families have experienced food insecurity during the COVID-19 pandemic, rates have been particularly high among low-income Hispanic and immigrant households. METHODS: The present study draws on data from an ongoing longitudinal study of low-income families and children in Tulsa, Oklahoma to examine food insecurity among English Language Learners (ELLs), all of whom were Hispanic and most of whom came from immigrant families. RESULTS: Findings indicate that, although low-income ELL families were somewhat more likely to experience food insecurity than other low-income families before the pandemic, once COVID-19 erupted, they had 3 times the odds of experiencing food insecurity, even after controlling for prior risk factors and COVID-related income loss. Further, food-insecure ELLs were less likely to receive SNAP benefits than other food-insecure families. DISCUSSION: Taken with other research, results suggest that because of concerns around immigration status, ELL families may have less access to critical benefits that have supported other families throughout the pandemic, such as SNAP and CARES Act stimulus checks. Thus, to meet the urgent needs of persistent food insecurity, aid should refocus on using rapid response systems with community ties, such as mutual aid organizations and school systems, to provide financial and monetary support to low-income ELL families. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Chaos during the COVID-19 outbreak: Predictors of household chaos among low-income families during a pandemic.

Objective: The objective of this study was to explore whether household chaos measured during the COVID-19 pandemic is predicted by prepandemic parental and household characteristics. Background: The COVID-19 pandemic has dramatically altered children's home environments and routines due to stay-at-home orders, school closures, and economic shocks. These disruptions have been especially challenging for low-income families who have limited resources and have been disproportionately affected by the pandemic. Household chaos, which captures routines, organization, stability, noise, and crowding in the home, is a documented threat to parent functioning and positive child development. The pandemic has likely exacerbated household chaos, especially for low-income families. Method: Data come from a larger, ongoing study of low-income children and their parents in Tulsa, Oklahoma; this analysis relies on data from the subset of low-income parents who responded to surveys when their children were in kindergarten (in 2018-2019) and during the pandemic, when their children were in first grade (n = 335). We use multivariate ordinary least squares regression models to test whether household chaos measured during the pandemic is predicted by prepandemic parental and household characteristics. Results: Prepandemic parental depression and household chaos were significantly predictive of chaos during the pandemic, even after accounting for household demographics. Implications: The current study highlights pandemic-induced elevations in parental distress and household chaos among low-income families. Results will provide valuable direction to policymakers, educators, and parents on how best to offset negative impacts of the COVID-19 pandemic on family functioning and child development.