We explored if children's age moderated associations between their early life language experiences and their linguistic and cognitive skills. For 107 British children, aged 24 to 48 months, and their families, we collected 3 day-long audio-recordings of their naturalistic home environments ( = 15.06 h per day,  = 1.87). Children's cognitive ability was assessed by parent-ratings and with a cognitive testing booklet that children completed at home. We found that the quantity, lexical diversity and vocabulary sophistication of adult speech were associated with children's linguistic and cognitive skills. However, these associations were not moderated by children's age. Our findings suggest that the influence of early life language experience is not differentiated at age 24 to 48 months, at least in the current sample.

This retrospective study investigated transitions in patterns of caregiver involvement before and during COVID-19 and their antecedents and consequences. A total of 504 young children (age: ±  = 49.92 ± 4.30 months) and their primary caregivers were recruited from the junior classes of 10 preschools in Zhengzhou City, Henan Province, China. Latent profile analysis identified three profiles characterized by (1) high levels of caregiver involvement (HCI), (2) average levels of caregiver involvement (ACI), and (3) low levels of caregiver involvement (LCI). Latent transition analysis showed that caregivers who belonged to the HCI or LCI latent status before COVID-19 tended to transition to the ACI latent status during COVID-19. Higher levels of caregiver depression contributed to a higher probability of transitioning from the HCI to the ACI latent status, while higher levels of household chaos predicted a higher probability of transitioning from the HCI to the ACI latent status and a lower probability of transitioning from the LCI to the ACI latent status. Finally, the transitions in patterns of caregiver involvement were associated with young children's approaches to learning during the pandemic.

In the context of family homelessness, children experience acute adversities related to loss of housing and residential mobility compounded with more chronic, poverty-related adversities and stressors. Among children in families experiencing homelessness, variability in experiences and outcomes warrant person-centered approaches to better delineate patterns of risk and resilience. Using latent profile analysis as a person-centered approach, we identified five distinct profiles of neurodevelopmental functioning within a sample of 231 children (ages 3-5 years old) staying in emergency homeless shelters with their families. Latent profiles were informed by indicators from parent-reported items for ten different domains of neurodevelopmental functioning. We examined whether demographic and ecological factors including age, ethnicity, adverse childhood experiences, parent mental health, and overreactive parenting would predict profile membership. Overall, half of the children in the sample demonstrated a profile of resilient functioning across developmental domains. Profiles of maladaptive functioning differed in areas of strength and challenge, with a small percentage of children showing poor functioning across all domains. Children whose parents had more mental health problems or overreactive parenting were significantly more likely to show profiles of poor functioning than to show resilient functioning. Implications for future research, practice, and policy are discussed.

The purpose of this study was to explore how adjusted preschoolers were to preschool when their teachers were either racially congruent or racially incongruent and whether gender moderated these associations. In this study, 259 preschoolers (50% boys; = 53.84 months; 63% White, 37% Black) in 44 classrooms at 16 federally- and privately-funded centers/preschools were rated for their adjustment to preschool using teacher ( = 44; 100% women, 52% White, 38% Black, 2% Asian, 5% American Indian/Alaskan Native, 2% Latine) reports and direct child assessments. Multi-level structural equation modeling was used to simultaneously address the non-independence of the data by estimating higher-level variance components (i.e., variance on a total of six preschool adjustment outcomes out due to the classroom and due to the center) as well as correlated outcomes. Accounting for classroom-level variance as well as school-, classroom-, and child-level covariates, these analyses revealed main effects for gender and teacher-child racial congruence, and not for race, but higher-order interactions were significant. White girls with White teachers scored higher than White girls with Black teachers on four outcomes. Black girls with Black teachers scored higher than Black girls with White teachers on three outcomes and lower on two outcomes. White boys with White teachers scored lower than White boys with Black teachers on three outcomes. Black boys with Black teachers scored lower than Black boys with White teachers on five outcomes and higher on one outcome. Magnitudes of associations found ranged from small to large across the analyses. These findings add to the growing literature concerning teacher racial congruence suggesting its association with preschool adjustment may be moderated by race and gender of the child. More research is needed to understand the mechanisms accounting for these associations.

A growing body of research has examined parents' practices to support their young children's number learning at home, i.e., the home numeracy environment. Many of these studies focus on formal and informal domains of numeracy activities, which are inconsistently defined and related to children's math learning. In this study, we explore dimensions of the home numeracy environment and examine their relations with children's math skills among a sample of four-year-old children and their parents over the course of one year. Parents reported on the frequency of 21 numeracy activities when children were four and five. Exploratory and confirmatory factor analyses revealed a two-factors solution: number-related play activities and use of educational materials with numbers. Frequency of play with numbers was positively related to children's ability to solve applied math problems at age five, controlling for prior number skills, child age, and socioeconomic status. In contrast, neither measure of the home numeracy environment predicted symbolic number knowledge or non-symbolic number sense when controlling for covariates. These findings underscore the need to differentiate between factors of the home numeracy environment and to develop clear theoretical definitions of these factors.

Online parenting interventions hold promise for increasing access to behavioral support for families with low income and who reside in rural areas. The current study evaluates the efficacy of a mobile app-based parenting support program, the Family Check-Up Online (FCU-O) with telehealth coaching support, for parents of children 1.5-5 years old at risk of experiencing parenting challenges. We tested effects of the FCU-O on parent wellbeing (parenting self-efficacy and symptoms of depression and anxiety) and parent-reported parenting skills (support for positive behavior, limit-setting, and proactive parenting) at the 3-month follow-up in a randomized controlled trial (FCU-O versus control). We also tested relationships between parents' baseline characteristics and their engagement with the app and telehealth coaching. Eligibility criteria included endorsing depressive symptoms or current or past substance misuse. Participants ( = 356) were predominantly White (72%) and low-income, with 43% of families residing in a rural area. Approximately one third of participants reported clinically significant symptoms of anxiety or depression and one third endorsed a lifetime history of opioid misuse. Intent to treat analyses tested effects of the FCU-O on parent wellbeing and parenting skills. The FCU-O was associated with improvements to parents' support for positive behavior, limit-setting, and proactive parenting skills, as well as parenting self-efficacy and depressive symptoms. Parents' initial symptoms of depression and anxiety significantly predicted greater telehealth coach engagement; low levels of initial self-reported skills positive behavior support and limit-setting significantly predicted greater app engagement. Results provide support for the FCU-O as a preventive parenting intervention for parents experiencing mental health challenges, with implications for reducing barriers to accessing parenting support for underserved families.

We used student fixed effects and statistical controls to investigate whether U.S. elementary students ( = 18,170) displayed greater academic achievement, social-emotional behavior, or executive functioning and were more likely to receive gifted or special education services when taught by teachers of the same race or ethnicity. We observed mostly null effects for student-teacher racial or ethnic matching across the study's 12 dependent measures in analyses adjusting for Type 1 error. For the full sample, matching resulted in lower science achievement (effect size [ES] = -.03 ). For Black students, matching resulted in fewer internalizing problem behaviors (ES = 0.18 ). We observed null effects for Hispanic students. Robustness checks including those stratified by race or ethnicity and biological sex or by prior levels of low or high level of achievement, behavior, or executive functioning largely supported the study's null findings. Exceptions were that matching resulted in fewer externalizing problem behaviors (ES = 0.22 ) for Black girls and lower academic achievement (ES range = -0.04 to -0.14 ) and fewer externalizing and internalizing problem behaviors (ES range = 0.24 to 0.33 ) for students who had previously displayed low levels of academic, behavioral, or executive functioning. Collectively, the analyses provide limited support for student-teacher racial or ethnic matching as a school-based policy to address educational disparities in U.S. elementary schools.

This study explores the impact of four-day school weeks on early elementary achievement. Using covariate adjusted regression analyses and data on all students who entered kindergarten in Oregon, USA between 2014 and 2016, we examine differences in 3rd grade math and English Language Arts test scores (i.e., achievement) for students enrolled in a four-day school week versus a five-day school week at kindergarten entry On average, we find minimal differences between 3 grade test scores of four-day and five-day students, but there are notable differential effects across the spectrum of these students' kindergarten readiness scores and educational program participation. We find that above median performers on kindergarten assessments, White students, general education students, and gifted students - student groups that make up more than half our sample - are the most negatively impacted by the four-day school week during the early elementary period. We generally find no statistically significant evidence of detrimental four-day school week achievement impacts for students who were below median performers on kindergarten assessments, minority students, economically disadvantaged students, special education participants, and English as a second language students.

This study examined how social-emotional and behavioral (SEB) problems and competencies contribute to changes in developmental functioning among children enrolled in Part C Early Intervention (EI), a U.S. program supporting young children with developmental delays and disabilities. The sample included 1,055 children enrolled in EI from 2011-2019 (mean age at EI entry = 17 months; 64% male; 72% marginalized racial and ethnic backgrounds). Standardized developmental assessments, drawn from administrative records, characterized developmental functioning at EI entry and exit and parents reported SEB functioning. Hierarchical regression analyses revealed that SEB problems and competencies interacted in predicting change in developmental functioning from EI entry to exit. Monitoring, identifying, and addressing SEB problems and competencies may optimize developmental outcomes for young children with developmental delays and disabilities.

Internalizing and externalizing behavioral problems place children at an increased risk for low academic achievement and socioemotional maladjustment. Children's language skills and level of emotional reactivity have been shown to predict behavioral problems later in development. Yet, there is an absence of research investigating vocabulary by negative emotionality interactions with respect to the development of behavioral problems during early childhood. Our study sought to fill this gap by examining whether the relation between preschool (age 3) vocabulary size and internalizing/externalizing problems during the early school years (age 6) is moderated by preschool negative emotional reactivity, even after controlling for preschool behavioral problems as well as children's socioeconomic background. Longitudinal data was collected from 256 typically developing children (129 girls, 75% White) and their mothers (64% held a college degree). Linear regression analyses revealed moderate rank-order stability in children's internalizing and externalizing problems across this period of development. Evidence of an interaction effect emerged in both the internalizing and externalizing problems regression models. That is, age 3 vocabulary was negatively related to age 6 behavioral problems, but only among children exhibiting higher levels of negative emotional reactivity. Our results indicate that early vocabulary acquisition may serve as a buffer against adverse behavioral outcomes in children with a natural propensity toward expressing negative emotions. These findings point to a more nuanced picture of the relations between language, emotional reactivity, and behavioral problems in childhood, which are discussed in greater detail to inform future intervention and educational research.

Our study assessed whether the peer environment in kindergarten and first grade affected student learning following an early mathematics intervention. We leveraged longitudinal data from a cluster-RCT to examine whether math achievement in kindergarten ( = 1,218) and first grade ( = 1,126) was affected by either the share of high-achieving classmates or the proportion of classroom peers who received a preschool math curriculum intervention. Analyses indicated that exposure to treated peers in first grade, but not kindergarten, was significantly associated with small gains in end-of-year achievement. Some analyses also suggested that average peer math achievement was generally positively related to children's kindergarten and first-grade achievement across conditions, though these results were less robust. We did not find consistent evidence to suggest that the proportion of treated peers coincided with better teaching practices. Taken together, these findings suggest that classroom peer effects may play only a limited role in sustaining early intervention effects.

Young children rapidly learn facts about the world. One mechanism supporting knowledge acquisition is memory integration: derivation of new knowledge by combining separate, yet related facts accumulated over time. There are both developmental changes and individual differences in young children's learning through memory integration. However, there is little research on how everyday social interactions may promote memory integration and contribute to individual differences. Accordingly, we investigated how the everyday social interactions of caregiver-child shared book reading support 5- to 6-year-olds' memory integration ( = 82 parent-child dyads; 47 female children; age 6.10; 56.5% White non-Latinx, 15% Black, 6% White Latinx, 5.5% Asian, 17% more than one race). Caregivers read a narrative book that included opportunities to integrate facts. Half the dyads were assigned to an embedded questions condition (questions on facts included throughout the book) and half to a no embedded questions condition (statements only). We measured dyads' extratextual talk while reading for the extent to which they integrated the facts (integration talk). Children's learning was tested with both memory integration and fact recall questions. Dyads in the embedded questions condition had more integration talk. The extent to which the dyads integrated while reading predicted children's integration performance, above and beyond condition effects. This effect was specific to memory integration: integration talk nor condition accounted for fact recall. These results suggest that shared book reading can support young children's integration, especially when books engage dyads through embedded questions and dyads integrate facts while reading.

This study investigated links of executive functioning to gains in school readiness skills and explored the mediating role of children's behavioral engagement in the PreK classroom. We collected direct assessments of executive functioning (EF) and observations of behavioral engagement for 767 children (mean age 52.63 months) from racially/ethnically diverse, low-income backgrounds three times over the PreK year. We also measured school readiness in the domains of language, literacy, and math using direct assessments and collected teacher-report measures of socialemotional-behavioral skills and approaches to learning. Our analyses addressed the following three research questions: 1) To what extent does children's EF predict school readiness skill gains during PreK? 2) To what extent does children's behavioral engagement in PreK classrooms predict school readiness skill gains? 3) To what extent does behavioral engagement mediate the relation of EF with school readiness skill gains? We observed that EF was positively related to gains in language, math, and approaches to learning. Regarding behavioral engagement, Negative Classroom Engagement was negatively related to gains in literacy, math, social-emotionalbehavioral skills, and approaches to learning while Positive Task Engagement was positively related to gains in approaches to learning. Negative Classroom Engagement significantly mediated the effects of EF on gains in the domains of literacy, socialemotional-behavioral skills, and approaches to learning. We describe implications of these findings for promoting children's ability to learn and thrive in PreK contexts with a focus on their engagement with teachers, peers, and learning activities.

The COVID-19 pandemic's impact on preschool children's school readiness skills remains understudied. This research investigates Head Start preschool children's early numeracy, literacy, and executive function outcomes during a pandemic-affected school year. Study children ( = 336 assessed at fall baseline;  = 237-250 assessed in spring depending on outcome; fall baseline sample: mean age = 51 months; 46% Hispanic; 36% Black Non-Hispanic; 52% female) in a network of Head Start centers in four states (Nevada, New Jersey, Pennsylvania, and Wisconsin) experienced low in-person preschool exposure compared to national pre-pandemic norms. Children experienced fall to spring score gains during the pandemic-affected year of 0.05 SD in executive function, 0.27 SD in print knowledge, and 0.45-0.71 SD in early numeracy skills. Descriptively, for two of the three early numeracy domains measured, spring test score outcomes were stronger among children who attended more in-person preschool. We discuss implications for future research and policy.

New technologies that combine digital sensors with automated processing algorithms are now being deployed to study preschool classrooms. This article provides an overview of these new sensing technologies, focusing on automated speaker classification, the analysis of children's and teachers' speech, and the detection and analysis of their movements over the course of the school day. Findings from recent studies utilizing these technologies are presented to illustrate the contribution of these sensing technologies to our understanding of classroom processes that predict children's language and social development. In particular, the potential to collect extended real-time data on the speech and movement of all children and teachers in a classroom provides a broader window on the variability of individual children's interactions with peers and teachers and their integration into classroom social networks. The article describes current challenges related to the use of sensing technologies in preschool settings, as well as advances that may overcome these challenges and allow for more in-depth investigations of children's early classroom experiences.

There is substantial rank-order stability in children's mathematical skills throughout development. Research has shown that children who enter school with relatively low math skills are unlikely to catch up to peers who begin kindergarten with more developed math skills. Emerging evidence suggests that children's executive function skills might play an important role in shaping the rate and stability of mathematical skill development during early development. Therefore in the present study, we used data from the Early Childhood Longitudinal Study-Kindergarten Cohort 2010-11-a prospective sample of over 18,000 children in the United States-to examine executive function as an antecedent to characteristics of growth in math skills and to test whether executive function moderates the longitudinal stability of math achievement from kindergarten through second grade. Latent growth curve models reveal that executive function is related to not only the level of math skills at school entry but also to the rate of growth in early elementary years. Moreover, we found that executive function moderated the stability of math achievement from kindergarten to second grade, suggesting that early executive function skills can serve as a compensatory mechanism for children who enter school with lower levels of mathematical skills. These findings might have important implications for narrowing gaps in math achievement during early elementary school.

Taking a person-centered approach, this study examined stability and change in profiles of parenting qualities observed at two times in early childhood in a sample of 146 mothers of African American children living in households experiencing poverty. Latent Profile Analysis (LPA) of six qualities of parenting rated from mother-child interactions at ages 2.5 and 3.6 years revealed four distinct parenting profiles characterized as Child-Oriented, Moderately Child-Oriented, Harsh-Intrusive, and Withdrawn at each age. Profile membership was fairly stable, with 41% classified similarly at both times. Moderately Child-Oriented was the least stable, with 24% of this group similarly classified at Time 2; 49-52% of each of the other three groups were classified similarly the second time, indicating their greater stability. Changes from Harsh-Intrusive to Withdrawn profiles or vice versa were rare ( = 3). To further address profile stability, Time 2 profile posterior probabilities were predicted in multiple regression models from Time 1 parenting profiles, with the child-oriented profile as reference group, Time 2 child externalizing and internalizing behavior problems, and cumulative risk. Results indicated Time 2 Withdrawn and Harsh-Intrusive profiles were significantly associated with Time 1 membership in their analogous profile but not with other Time 1 profiles, providing further evidence for stability and distinctiveness of these profiles. Only the Moderately Child-Oriented profile was associated with greater cumulative risk at Time 2; it was not related to any of the other Time 1 profiles. In addition, Withdrawn profile membership at Time 2 was associated with greater child internalizing and fewer externalizing problems. The Time 2 Child-Oriented profile was associated with less probability of membership in withdrawn or harsh-intrusive profiles at Time 1.

This study examined whether a two-tiered parenting program, which provides universal primary prevention along with targeted secondary prevention only for families with increased needs, would have mutually beneficial impacts on attendance across two program components. A secondary analysis of the Smart Beginnings (SB) randomized controlled trial was conducted. SB takes place from birth to age 3 and combines universal delivery of the Video Interaction Project (VIP) with targeted delivery of the Family Check-Up (FCU) for families identified as having increased risks following yearly screening. The current study analyzed whether attendance in VIP in the first six months was associated with FCU attendance for eligible families at six months, and whether FCU attendance at six and 18 months was associated with subsequent VIP attendance. Analyses included logistic and mixed-effects Poisson regression, as well as group-based trajectory analysis. VIP attendance predicted later FCU attendance ( = 5.43, < .01), and FCU attendance predicted later VIP attendance ( = 1.35, < .01) and a high-stable VIP attendance trajectory (=14.98, < .01). Findings provide strong support for the ability of tiered models to engage parents, to promote effective and efficient service delivery to reduce disparities in school readiness, and their potential to overcome common barriers to attendance and scaling by addressing the heterogeneity of risk among low-income families.

In the United States (U.S.), quality rating and improvement systems (QRIS) are used by many states to incentivize quality in ECE and may be a viable lever for promoting early childhood development and mental health on a population level. We conducted a qualitative review of publicly available data on state QRIS indicators to better understand how states incorporate evidence-informed early childhood development and mental health promotion standards in QRIS. We systematically compared QRIS indicators for 41 U.S. states with child development and mental health promotion quality standards from , as of March/April 2020. Of those, 39 states included at least one indicator consistent with child development or mental health promotion standards, including practices that can lead to early detection of developmental delays such as developmental monitoring, activities or curriculum addressing developmental domains, and regular communication and resource-sharing with parents/guardians. Opportunities exist within states for incorporating more specific guidance within indicators, such as use of childcare health consultants and advocates, validated screening tools, parent/guardian participation or input in developmental monitoring and screening, and staff training on family engagement. We found that in most states QRIS indicators offer guidance for ECE systems to support and monitor early development and foster mental health, with opportunities to enhance guidance. Findings point to QRIS as a viable opportunity for promotion of early childhood development and mental health standards in ECE systems.

Child care centers in the United States allow many parents and caregivers to work in and outside of the home and support the growth and development of children. Child care closures and COVID-19 mitigation measures at the onset of the pandemic heightened the need for and awareness of the role of child care as core infrastructure. The purpose of our study was to examine the perceived role and benefits of child care based on the lived experiences of parents/caregivers and staff navigating child care during the pandemic. We conducted in-depth qualitative interviews with parents/caregivers ( = 20) of children who attended child care and staff ( = 12) who were working at child care programs in Ohio from September to November 2020. Qualitative data were coded and analyzed through the lens of four frameworks (i.e., capabilities, developmental, economics, and mutualism) related to child well-being. Our results highlight the perceived value of child care (a) for fostering capabilities and developmental growth in children; (b) for providing economic benefits for children, parents, and staff of child care programs; and (c) as an essential infrastructure that mutually benefits children, parents, families, staff, and the community. Findings support existing evidence regarding the broader impacts of child care and further investigation into the role of child care. We highlight the potential need for further investments in policies, resources, and supports for child care that reflects its essentialness and generative role.

This paper highlights the importance of examining individual, classroom, and school-level variables simultaneously in early childhood education research. While it is well known that Hierarchical Linear Modeling (HLM) in school-based studies can be used to account for the clustering of students within classrooms or schools, less known is that HLM can use random effects to investigate how higher-level factors (e.g., effects that vary by school) moderate associations between lower-level factors. This possible moderation can be detected even if higher-level data are not collected. Despite this important use of HLM, a clear resource explaining how to test this type of effect is not available for early childhood researchers. This paper demonstrates this use of HLM by presenting three analytic examples using empirical early childhood education data. First, we review school-level effects literature and HLM concepts to provide the rationale for testing cross-level moderation effects in education research; next we do a short review of literature on the variables that will be used in our three examples (viz., teacher beliefs and student socioemotional behavior); next we describe the dataset that will be analyzed; and finally we guide the reader step-by-step through analyses that show the presence and absence of fixed effects of teacher beliefs on student social outcomes and the erroneous conclusions that can occur if school-level moderation (i.e., random effects) tests are excluded from analyses. This paper provides evidence for the importance of testing for how teachers and students impact each other as a function of school differences, shows how this can be accomplished, and highlights the need to examine random effects of clustering in educational models to ensure the full context is accounted for when predicting student outcomes.