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's 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 < .001), but not when gains in letter knowledge and phonological awareness were also included.

The Differential Relations Between ADHD and Reading Comprehension: A Quantile Regression and Quantile Genetic Approach.

This paper extends the understanding of the relation between ADHD and reading comprehension, through examining how this relation differs depending on the quantile an individual falls in for each. Samples from three twin projects around the United States were used (Florida Twin Project, Colorado component of International Longitudinal Twin Study of Early Reading Development, & Western Reserve Reading and Math Projects). Phenotypic analysis using quantile regression showed relations between ADHD related behaviors and reading comprehension to be stronger in the lower quantiles of reading comprehension in two of three samples. A new method was developed extending this analysis into the bivariate genetic space. Results of this quantile genetic analysis revealed that overlapping common environmental influences accounted for a larger proportion of variance in the lower quantiles of these variables in two of three samples. Finally, in all three samples the phenotypic relation was strongest when shared environmental influences accounted for a larger proportion of the overall variance.

Exploring the Influence of Early Childhood Education and Care on the Etiology of Achievement.

The present study used a genetically-sensitive quantile regression approach to examine the relation between participation in early childhood education and care (ECEC) and subsequent school performance in literacy and numeracy at grades 3, 5, 7, and 9. The sample consisted of 1255 twin pairs (596 MZ; 659 DZ) with information on both ECEC and the National Assessment Program-Literacy and Numeracy (NAPLAN) scores from the Twin Study of NAPLAN. Results indicated variation in heritability estimates across the distributions of achievement, suggesting that different patterns of etiological influences may exist among children of different ability levels. Additionally, the results provided no evidence that ECEC significantly influenced achievement, and in the genetically-sensitive analyses, no evidence that ECEC moderated the influences of heritability of achievement for typically advantaged children. These results suggest that ECEC may not provide the levels of environmental support for later achievement that advocates claim, although we acknowledge that ECEC quality, which was not measured in the current study, may make a difference in whether or not ECEC influences achievement.

When do preschoolers learn specific mathematics skills? Mapping the development of early numeracy knowledge.

Children's mathematics skills undergo extensive development during the preschool years. Opportunities for engaging in mathematics in the preschool classroom, however, are limited, and activities and instruction are often targeted below children's skill levels. Although researchers have developed general learning trajectories of children's mathematics skills, no fine-grained trajectories across a broad range of mathematics skills exist. Such a fine-grained trajectory of when specific numeracy skills develop would allow preschool and kindergarten instruction to more appropriately match and scaffold children's mathematics capabilities. The current study examined preschool children's item-level performance on eight numeracy subtests at half-year age points throughout the preschool period. Data were compiled across six studies, and participants comprised 801 preschool children (age range = 3.12-5.99 years, M = 4.63, SD = 0.68). Children were grouped into six age categories (3, 3.5, 4, 4.5, 5, and 5.5 years). Linear regression analyses were used to investigate the number of children who correctly answered each item of a specific subtest within a particular age group. Findings provide clear trajectories of children's early mathematics skills that can be used to inform preschool classroom practices and facilitate the design of intervention studies.

Neighborhood Influences on Perceived Social Support and Parenting Behaviors.

OBJECTIVES: The aim of our study is to explore the relationships between neighborhood context, perceived social support, and parenting for low-income mothers with young infants. METHODS: Data were collected during the first three time points from the Kids in Columbus Study, a 5-year longitudinal study on low-income families. Mother-child dyads (n = 228) were recruited from five Women, Infants, and Children Centers located in a Midwestern Metropolitan area. Data for the present study represents mother-child dyads that had completed time point 1 (infant age birth to 3-months), time point 2 (infant age 4 to 7 months), and 3 (infant age 9- to 12-months old). RESULTS: Social support and neighborhood quality were associated with both maternal perceptions and observed parenting outcomes. Social support positively predicted maternal perceptions of self-efficacy whereas neighborhood quality was positively related to parent involvement. DISCUSSION: Overall, social support and neighborhood quality were related to aspects of parenting in the first year of children's lives. There was no evidence that the association between social support and parenting varied as a function of neighborhood quality. This finding suggests the neighborhood qualities captured in our study do not influence mothers' ability to access social support during infancy.

Child language and parent discipline mediate the relation between family income and false belief understanding.

Achieving false belief understanding is an important cognitive milestone that allows children to understand that thoughts and reality can differ. Researchers have found that low-income children score significantly lower than middle-income children on false belief understanding but have not examined why this difference exists. We hypothesized that children's language and parent discipline mediate the income-false belief relation. Participants were 174 3- to 6-year-olds. False belief understanding was significantly correlated with family income, children's vocabulary, parents' self-reported discussion of children's behavior, discussion of emotions, and power assertion. Family income had a significant indirect effect on false belief understanding through children's vocabulary and parent discipline when examined independently, but only through children's vocabulary when using parallel multiple mediation. This study contributes to our knowledge of individual differences in false belief understanding.

Intensity of language treatment: contribution to children's language outcomes.

BACKGROUND: Treatment intensity is an important factor in designing and delivering treatments to children with language impairment (LI). However, to date very little is understood about cumulative intervention intensity for children with LI in the US public school system. AIMS: To examine treatment intensity (dose: time spent on language; frequency: number of sessions; duration: one academic year) as delivered to children with LI within US public schools and to explore its relation to children's language outcomes. METHODS & PROCEDURES: A total of 233 children with LI on the caseloads of 73 speech-language pathologists (SLPs) participated. Direct child measures, weekly treatment logs and videotapes were collected to characterize children's language outcomes and treatment experiences. OUTCOMES & RESULTS: Children on average received 36 min of treatment during 1.3 treatment sessions per week. Children's language severity did not predict children's treatment intensity. Structural equation modelling indicated a significant interaction between frequency and dose of treatment: children receiving high frequency and low dose, or low frequency and high dose treatment had better outcomes than children receiving high frequency, high dose or low frequency, low dose treatment. CONCLUSIONS & IMPLICATIONS: Findings suggest that more intensive language treatment, measured as time, is not necessarily associated with better treatment outcomes.

School readiness of children with language impairment: predicting literacy skills from pre-literacy and social-behavioural dimensions.

BACKGROUND: School readiness generally captures the notion that children do best when they arrive at formal schooling with a certain threshold of skill that will help them thrive in the classroom's academic and social milieu. AIMS: To examine the dimensionality of the construct of school readiness among children with language impairment (LI), as well as the extent to which these dimensions relate to children's end-of-kindergarten literacy skills. METHODS & PROCEDURES: Participants were 136 preschool-aged children with LI. Children were assessed on measures of pre-literacy, social, and behavioural skills in preschool and reading and spelling in kindergarten. OUTCOMES & RESULTS: Confirmatory factor analyses indicated that school readiness for this sample of children with LI is best characterized as two dimensions: pre-literacy and socio-emotional. Of the two dimensions, pre-literacy readiness was predictive of children's future performance in reading and spelling. CONCLUSIONS & IMPLICATIONS: The results further our theoretical understanding of the dimensions of school readiness, as well as our knowledge of how these skills are related among children with LI. Identifying domain-specific readiness skills that are predictive of kindergarten success can help to identify means of early assessment and targets for speech-language intervention.

A latent profile analysis of math achievement, numerosity, and math anxiety in twins.

Underperformance in math is a problem with increasing prevalence, complex etiology, and severe repercussions. This study examined the etiological heterogeneity of math performance in a sample of 264 pairs of 12-year-old twins assessed on measures of math achievement, numerosity and math anxiety. Latent profile analysis indicated five groupings of individuals representing different patterns of math achievement, numerosity and math anxiety, coupled with differing degrees of familial transmission. These results suggest that there may be distinct profiles of math achievement, numerosity and anxiety; particularly for students who struggle in math.

Professional Development for Early Childhood Educators: Efforts to Improve Math and Science Learning Opportunities in Early Childhood Classrooms.

Because recent initiatives highlight the need to better support preschool-aged children's math and science learning, the present study investigated the impact of professional development in these domains for early childhood educators. Sixty-five educators were randomly assigned to experience 10.5 days (64 hours) of training on math and science or on an alternative topic. Educators' provision of math and science learning opportunities were documented, as were the fall-to-spring math and science learning gains of children (n = 385) enrolled in their classrooms. Professional development significantly impacted provision of science, but not math, learning opportunities. Professional development did not directly impact children's math or science learning, although science learning was indirectly affected via the increase in science learning opportunities. Both math and science learning opportunities were positively associated with children's learning. Results suggest that substantive efforts are necessary to ensure that children have opportunities to learn math and science from a young age.

Why children differ in motivation to learn: Insights from over 13,000 twins from 6 countries.

Little is known about why people differ in their levels of academic motivation. This study explored the etiology of individual differences in enjoyment and self-perceived ability for several school subjects in nearly 13,000 twins aged 9-16 from 6 countries. The results showed a striking consistency across ages, school subjects, and cultures. Contrary to common belief, enjoyment of learning and children's perceptions of their competence were no less heritable than cognitive ability. Genetic factors explained approximately 40% of the variance and all of the observed twins' similarity in academic motivation. Shared environmental factors, such as home or classroom, did not contribute to the twin's similarity in academic motivation. Environmental influences stemmed entirely from individual specific experiences.

Peer effects in early childhood education: testing the assumptions of special-education inclusion.

There has been a push in recent years for students with disabilities to be educated alongside their typically developing peers, a practice called inclusion. In this study, we sought to determine whether peer effects operate within early-childhood special-education (ECSE) classrooms in which preschoolers with disabilities are educated alongside typical peers. Peer effects specific to language growth were assessed for 670 preschoolers (mean age = 52 months) in 83 ECSE classrooms; 55% of the children had disabilities. We found that the average language skills of classmates, as assessed in the fall of the year, significantly predicted children's language skills in the spring (after controlling for their relative skill level in the fall); in addition, there was a significant interactive effect of disability status (i.e., the presence or absence of a disability) and peers' language skills. Peer effects were the least consequential for children without disabilities whose classmates had relatively strong language skills, and the most consequential for children with disabilities whose classmates had relatively poor language skills.

Quantile regression in the study of developmental sciences.

Linear regression analysis is one of the most common techniques applied in developmental research, but only allows for an estimate of the average relations between the predictor(s) and the outcome. This study describes quantile regression, which provides estimates of the relations between the predictor(s) and outcome, but across multiple points of the outcome's distribution. Using data from the High School and Beyond and U.S. Sustained Effects Study databases, quantile regression is demonstrated and contrasted with linear regression when considering models with: (a) one continuous predictor, (b) one dichotomous predictor, (c) a continuous and a dichotomous predictor, and (d) a longitudinal application. Results from each example exhibited the differential inferences which may be drawn using linear or quantile regression.

Two-Method Measurement Planned Missing Data With Purposefully Selected Samples.

Research designs that include planned missing data are gaining popularity in applied education research. These methods have traditionally relied on introducing missingness into data collections using the missing completely at random (MCAR) mechanism. This study assesses whether planned missingness can also be implemented when data are instead designed to be purposefully missing based on student performance. A research design with purposefully selected missingness would allow researchers to focus all assessment efforts on a target sample, while still maintaining the statistical power of the full sample. This study introduces the method and demonstrates the performance of the purposeful missingness method within the two-method measurement planned missingness design using a Monte Carlo simulation study. Results demonstrate that the purposeful missingness method can recover parameter estimates in models with as much accuracy as the MCAR method, across multiple conditions.

Association between longitudinal patterns of child maltreatment experiences and adolescent substance use.

BACKGROUND: Although there is a well-established link between child maltreatment and adolescent substance use, it remains unclear if and how longitudinal patterns of maltreatment experiences are associated with substance use in adolescence. OBJECTIVE: The purpose of the study was to examine how distinct patterns of longitudinal maltreatment experiences are associated with adolescent substance use. PARTICIPANTS AND SETTING: The participants were 899 adolescents from the Longitudinal Studies of Child Abuse and Neglect (LONGSCAN). METHODS: We conducted repeated measures latent class analysis (RMLCA) to identify patterns of physical abuse, sexual abuse, and neglect from birth to age 17 and their relations to tobacco, alcohol, and marijuana use at age 18. RESULTS: RMLCA identified three physical abuse classes (Stable low physical abuse; School age peak physical abuse; Physical abuse primarily in infancy/toddlerhood), two sexual abuse classes (Stable no/low sexual abuse; School age peak sexual abuse), and three neglect classes (High neglect in childhood; Neglect primarily in infancy/toddlerhood; Neglect primarily at school age). Adolescents in the school age peak physical abuse class showed greater alcohol, cigarette, and marijuana use, compared to other physical abuse classes. Similarly, adolescents in the school age peak sexual abuse class showed greater substance use than those in the stable no/low sexual abuse class. Lastly, adolescents in the neglect primarily in infancy/toddlerhood class showed significantly less substance use than those in the other two neglect classes. CONCLUSIONS: Findings highlight the importance of early intervention and ongoing maltreatment prevention.

Reading development in young children: genetic and environmental influences.

The development of reading skills in typical students is commonly described as a rapid growth across early grades of active reading education, with a slowing down of growth as active instruction tapers. This study examined the extent to which genetics and environments influence these growth rates. Participants were 371 twin pairs, aged approximately 6 through 12, from the Western Reserve Reading Project. Development of word-level reading, reading comprehension, and rapid naming was examined using genetically sensitive latent quadratic growth curve modeling. Results confirmed the developmental trajectory described in the phenotypic literature. Furthermore, the same shared environmental influences were related to early reading skills and subsequent growth, but genetic influences on these factors were unique.

Small-Group, Emergent Literacy Intervention Under Two Implementation Models: Intent-to-Treat and Dosage Effects for Preschoolers at Risk for Reading Difficulties.

Preschool-age children identified as at risk for later reading difficulties can benefit from supplemental, small-group emergent literacy intervention. As such interventions become commercially available and marketed to preschool programs, it is important to understand their impacts when implemented by intended end users under routine conditions. In this study, we examined the effects of the Nemours BrightStart! (NBS!) intervention on children's emergent literacy skills when implemented by teachers and community aides in authentic preschool classrooms. We randomly assigned 98 classrooms to one of three conditions (NBS! teacher-implemented, NBS! community aide-implemented, or control). Children enrolled in these classrooms who met eligibility criteria and were identified as at risk via an early literacy screener (n = 281) completed pretest and posttest emergent literacy assessments; those assigned to NBS! conditions received intervention from their classroom teacher or a community aide affiliated with a local kindergarten-readiness initiative. Intent-to-treat analyses showed no significant impacts of NBS! on any outcome, and an instrumental variable, as-treated approach showed one significant intervention effect on letter writing. Consequently, we did not replicate results of prior highly controlled efficacy trials. Findings have implications for revising the NBS! theory of change, conducting dosage and as-treated analyses, and moving research-based interventions toward scale-up.

Heritability across the distribution: an application of quantile regression.

We introduce a new method for analyzing twin data called quantile regression. Through the application presented here, quantile regression is able to assess the genetic and environmental etiology of any skill or ability, at multiple points in the distribution of that skill or ability. This method is compared to the Cherny et al. (Behav Genet 22:153-162, 1992) method in an application to four different reading-related outcomes in 304 pairs of first-grade same sex twins enrolled in the Western Reserve Reading Project. Findings across the two methods were similar; both indicated some variation across the distribution of the genetic and shared environmental influences on non-word reading. However, quantile regression provides more details about the location and size of the measured effect. Applications of the technique are discussed.

Data Sharing in Education Science.

Many research agencies are now requiring that data collected as part of funded projects be shared. However, the practice of data sharing in education sciences has lagged these funder requirements. We assert that this is likely because researchers' generally have not been made aware of these requirements and the benefits of data sharing. Furthermore, data sharing is usually not a part of formal training, so many researchers may be unaware how to properly share their data. Finally, the research culture in education science is often filled with concerns regarding the sharing of data. In this article, we address each of these areas, discussing the wide range of benefits of data sharing, the many ways data can be shared, provide a step by step guide to start sharing data, and responses to common concerns.