Both mathematical language and the approximate number system (ANS) have been identified as strong predictors of early mathematics performance. Yet, these relations may be different depending on a child's developmental level. The purpose of this study was to evaluate the relations between these domains across different levels of ability. Participants included 114 children who were assessed in the fall and spring of preschool on a battery of academic and cognitive tasks. Children were 3.12 to 5.26 years old (M = 4.18, SD = .58) and 53.6% were girls. Both mixed-effect and quantile regressions were conducted. The mixed-effect regressions indicated that mathematical language, but not the ANS, nor other cognitive domains, predicted mathematics performance. However, the quantile regression analyses revealed a more nuanced relation among domains. Specifically, it was found that mathematical language and the ANS predicted mathematical performance at different points on the ability continuum. These dual nonlinear relations indicate that different mechanisms may enhance mathematical acquisition dependent on children's developmental abilities.

The purpose of the current study was to characterize and compare the emergent-literacy skills, print interest, and home-literacy environment of children with autism spectrum disorder (ASD) to their peers, as well as to examine the association between children’s emergent-literacy skills and their home-literacy environment. Results indicated that children with ASD had significantly higher alphabet knowledge and significantly lower print-concept knowledge when controlling for language ability compared with their peers. Children with ASD also had significantly lower print interest than their typical peers. Moreover, print interest and frequency of storybook reading were related to children’s alphabet knowledge. Clinical implications and areas for future research are discussed.

Rapid serial naming tasks are frequently used to explain variance in reading skill. However, the construct being measured by rapid naming is yet undetermined. The Phonological Processing theory suggests that rapid naming relates to reading because of similar demands of access to long-term stored phonological representations of visual stimuli. Some researchers have argued that isolated or discrete-trial naming is a more precise measure of lexical access than serial naming, thus it is likely that any shared variance between these two formats can be attributed to similar lexical access demands. The present study examined whether there remained any variance in reading ability that could be uniquely explained by the rapid naming task while controlling for isolated naming. Structural equation modeling was used to examine these relations within the context of the phonological processing model. Results indicated that serial naming uniquely predicted reading, and the relation was stronger with isolated naming controlled for, suggesting that isolated naming functioned as a suppressor variable in the relation of serial naming with reading.

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.

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. digitalcommons.unl.edu

A growing body of evidence indicates that the development of mathematics and literacy skills is highly related. The importance of literacy skills-specifically language-for mathematics development has been well rationalized. However, despite several prominent studies indicating that mathematics skills are highly predictive of literacy development, the reason for this relation is not well understood. The purpose of this study was to identify how and why early mathematics is predictive of early literacy development. Participants included 125 preschool children 3-5 years old (M = 4 years 3 months). Participants were assessed on mathematics, literacy, and cognitive measures in both the fall and spring of their preschool year. Mediation analyses indicated that the relation between early mathematics and literacy skills is mediated by children's mathematical language skills. These findings suggest that, in prior research identifying mathematical performance as a significant predictor of later literacy skills, mathematical performance may have acted only as a proxy measure for more complex language skills such as those assessed on a mathematical language measure. (PsycINFO Database Record

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.

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.