A metascience investigation of inclusive, open, and reproducible science practices in research posters at the 2021 SRCD biennial meeting.

Over the past decade, there has been a growing appreciation of metascience issues in psychological science. Using data collected from 2615 posters presented at the 2021 biennial meeting of the Society for Research in Child Development, this article examines the use of transparent research practices to increase rigor and reproducibility as well as generalizability through greater inclusivity of diverse samples. Research presented through poster presentations was heavily skewed toward quantitative studies featuring American researchers using Western hemisphere samples. Sharing of data/materials, preregistrations, and replications were uncommon. During a time when governments are increasingly requiring more open practices and access, this research provides an important baseline by which developmental science can benchmark progress toward the goals of greater inclusivity and openness.

Interactions of gender inequality and parental discipline predicting child aggression in low- and middle-income countries.

Children in low- and middle-income countries (LMICs) are disproportionately at risk of not meeting their developmental potential. Parental discipline can promote and hinder child outcomes; however, little research examines how discipline interacts with contextual factors to predict child outcomes in LMICs. Using data from 208,156 households with children between 36 and 59 months (50.5% male) across 63 countries, this study examined whether interactions between gender inequality and discipline (shouting, spanking, beating, and verbal reasoning) predicted child aggression. Results showed aggression was higher in countries with high gender inequality, and associations between discipline and child aggression were weaker in countries where gender inequality was higher. Improvements in country-level gender parity, in addition to parenting, will be necessary to promote positive child outcomes in LMICs.

Positioning adolescence in the developmental timeline.

Adolescence, the second decade of life, bridges childhood and adulthood, but also represents a host of unique experiences that impact health and well-being. Lifespan theories often emphasize the continuity of individual characteristics and their contexts from childhood to adolescence, underscoring the distal influence of childhood experiences. Yet, adolescence is marked by transitions that may provoke discontinuities, particularly within individuals, their contexts, and their interactions within those contexts. These discontinuities occur at varied times, orders, and intensities for individual youth, suggesting that adolescence may be a developmental turning point where earlier life experiences may be mediated, reversed, or transformed by proximal events. This perspective piece emphasizes the importance of considering transitions, discontinuities, and developmental turning points in adolescence as well as their potential to explain heterogeneity in adolescent and adult outcomes. We explore one biological and one contextual transition in adolescence and highlight innovative theories and methods for investigating continuity and discontinuity dynamics across development, which could lead to new insights related to the adolescent period and its importance in shaping future life trajectories.

It matters how you start: Early numeracy mastery predicts high school math course-taking and college attendance.

Using data from the Applied Problems subtest of the Woodcock-Johnson Tests of Achievement (Woodcock & Johnson, 1989/1990, Woodcock-Johnson psycho-educational battery-revised. Allen, TX: DLM Teaching Resources) administered to 1,364 children from the National Institute of Child Health and Human Development (NICHD) Study of Early Childcare and Youth Development (SECCYD), this study measures children's mastery of three numeric competencies (counting, concrete representational arithmetic and abstract arithmetic operations) at 54 months of age. We find that, even after controlling for key demographic characteristics, the numeric competency that children master prior to school entry relates to important educational transitions in secondary and post-secondary education. Those children who showed low numeric competency prior to school entry enrolled in lower math track classes in high school and were less likely to enrol in college. Important numeracy competency differences at age 54 months related to socioeconomic inequalities were also found. These findings suggest that important indicators of long-term schooling success (i.e., advanced math courses, college enrollment) are evident prior to schooling based on the levels of numeracy mastery.

Early word-learning skills: A missing link in understanding the vocabulary gap?

Socioeconomic status (SES) has been repeatedly linked to the developmental trajectory of vocabulary acquisition in young children. However, the nature of this relationship remains underspecified. In particular, despite an extensive literature documenting young children's reliance on a host of skills and strategies to learn new words, little attention has been paid to whether and how these skills relate to measures of SES and vocabulary acquisition. To evaluate these relationships, we conducted two studies. In Study 1, 205 2.5- to 3.5-year-old children from widely varying socioeconomic backgrounds were tested on a broad range of word-learning skills that tap their ability to resolve cases of ambiguous reference and to extend words appropriately. Children's executive functioning and phonological memory skills were also assessed. In Study 2, 77 of those children returned for a follow-up session several months later, at which time two additional measures of vocabulary were obtained. Using Structural Equation Modeling (SEM) and multivariate regression, we provide evidence of the mediating role of word-learning skills on the relationship between SES and vocabulary skill over the course of early development.

Pathways from Socioeconomic Status to Early Academic Achievement: The Role of Specific Executive Functions.

Among the many factors contributing to the SES-achievement gap, executive function (EF) skills have received a considerable amount of attention, given their role in supporting academic skill development. While recent work has demonstrated that global EF constructs mediate SES-achievement relations, less attention has been paid to unpacking the role of specific EF components in linking SES to achievement. Data from the NICHD Study of Early Child Care and Youth Development (N = 1,273) were analyzed to assess direct and indirect associations between SES indicators, preschool EF skills, and first-grade math and reading achievement. Using path analysis, we found parent education and working memory to be uniquely and most predictive of both achievement domains. Further, after controlling for baseline academic skills, verbal ability, and other child- and family-level covariates, only working memory mediated the association between parent education and children's math achievement. These findings offer a comprehensive look at the specific mechanisms through which socioeconomic disadvantage contributes to children's academic development and provide an initial step towards generating more precise targets for policies and interventions aimed at closing the achievement gap.

Self-Concept Predicts Academic Achievement Across Levels of the Achievement Distribution: Domain Specificity for Math and Reading.

This study examines whether self-concept of ability in math and reading predicts later math and reading attainment across different levels of achievement. Data from three large-scale longitudinal data sets, the Avon Longitudinal Study of Parents and Children, National Institute of Child Health and Human Development-Study of Early Child Care and Youth Development, and Panel Study of Income Dynamics-Child Development Supplement, were used to answer this question by employing quantile regression analyses. After controlling for demographic variables, child characteristics, and early ability, the findings indicate that self-concept of ability in math and reading predicts later achievement in each respective domain across all quantile levels of achievement. These results were replicated across the three data sets representing different populations and provide robust evidence for the role of self-concept of ability in understanding achievement from early childhood to adolescence across the spectrum of performance (low to high).

III. FROM SMALL TO BIG: METHODS FOR INCORPORATING LARGE SCALE DATA INTO DEVELOPMENTAL SCIENCE.

For decades, developmental science has been based primarily on relatively small-scale data collections with children and families. Part of the reason for the dominance of this type of data collection is the complexity of collecting cognitive and social data on infants and small children. These small data sets are limited in both power to detect differences and the demographic diversity to generalize clearly and broadly. Thus, in this chapter we will discuss the value of using existing large-scale data sets to tests the complex questions of child development and how to develop future large-scale data sets that are both representative and can answer the important questions of developmental scientists.

The Role of Mediators in the Development of Longitudinal Mathematics Achievement Associations.

Despite research demonstrating a strong association between early and later mathematics achievement, few studies have investigated mediators of this association. Using longitudinal data (n = 1,362), this study tested the extent to which mathematics self-concepts, school placement, executive functioning, and proficiency in fractions and division account for the association between mathematics achievement in first grade and at age 15. As hypothesized, a strong longitudinal association between first-grade and adolescent mathematics achievement was present (ß = .36) even after controlling for a host of background characteristics, including cognitive skills and reading ability. The mediators accounted for 39% of this association, with mathematics self-concept, gifted and talented placement, and knowledge of fractions and division serving as significant mediators.

Developmental cascades and educational attainment.

Developmental cascades describe how systems of development interact and influence one another to shape human development across the lifespan. Despite its popularity, developmental cascades are commonly used to understand the developmental course of psychopathology, typically in the context of risk and resilience. Whether this framework can be useful for studying children's educational outcomes remains underexplored. Therefore, in this chapter, we provide an overview of how developmental cascades can be used to study children's academic development, with a particular focus on the biological, cognitive, and contextual pathways to educational attainment. We also provide a summary of contemporary statistical methods and highlight existing data sets that can be used to test developmental cascade models of educational attainment from birth through adulthood. We conclude the chapter by discussing the challenges of this research and explore important future directions of using developmental cascades to understand educational attainment.

Early predictors of high school mathematics achievement.

Identifying the types of mathematics content knowledge that are most predictive of students' long-term learning is essential for improving both theories of mathematical development and mathematics education. To identify these types of knowledge, we examined long-term predictors of high school students' knowledge of algebra and overall mathematics achievement. Analyses of large, nationally representative, longitudinal data sets from the United States and the United Kingdom revealed that elementary school students' knowledge of fractions and of division uniquely predicts those students' knowledge of algebra and overall mathematics achievement in high school, 5 or 6 years later, even after statistically controlling for other types of mathematical knowledge, general intellectual ability, working memory, and family income and education. Implications of these findings for understanding and improving mathematics learning are discussed.

Working memory development from early childhood to adolescence using two nationally representative samples.

We leveraged nationally representative data from the Panel study of Income Dynamics-Child Development Supplement (N = 3,562) and the Early Childhood Longitudinal study (N = 18,174), to chart the development of working memory, indexed via verbal forward and backward digit span task performance, from 3 to 19 years of age. Results revealed nonlinear growth patterns for forward and backward digit span tasks, with the most rapid growth occurring during childhood followed by a brief accelerated period of growth during early adolescence. We also found similar developmental trajectories on digit span task performance for males and females across the U.S. population. Together, this study highlights the relative importance of the childhood period for working memory development and provides researchers with a reference against which to compare the developmental changes of working memory in individual studies. From a practical perspective, clinicians and educators can also use this information to understand important periods of working memory growth using national developmental trends. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Socioeconomic Variations in the Frequency of Parent Number Talk: A Meta-Analysis.

Using data from 12 studies, we meta-analyze correlations between parent number talk during interactions with their young children (mean sample age ranging from 22 to 79 months) and two aspects of family socioeconomics, parent education, and family income. Potential variations in correlation sizes as a function of study characteristics were explored. Statistically significant positive correlations were found between the amount of number talk in parent-child interactions and both parent education and family income (i.e., r = 0.12 for education and 0.14 for income). Exploratory moderator analyses provided some preliminary evidence that child age, as well as the average level of and variability in socioeconomic status, may moderate effect sizes. The implications of these findings are discussed with special attention to interpreting the practical importance of the effect sizes in light of family strengths and debate surrounding "word gaps".

Preschool executive function and adult outcomes: A developmental cascade model.

The present study examined longitudinal associations between preschoolers' executive function (EF) and adult educational attainment, impulse control, and general health directly and through its cascading effects on childhood and adolescent EF using a large, national, and prospective longitudinal sample of participants. Data were drawn from the National Institute of Child Health and Human Development study of Early Child Care and Youth Development (NICHD SECCYD) and included a diverse sample (52% male at birth; 76% White; 13% Black; 6% Hispanic; and 5% other; 14.23 mean years of maternal education) of 1,364 participants born in 1991 and followed through age 26. Four main findings emerged. First, we observed significant bivariate relations between EF measured at 54 months and adult educational attainment (r = .36, p < .01), and impulse control (r = .11, p = .01). Second, early EF measured during preschool and childhood explained variance in adult educational attainment and impulse control above and beyond adolescent EF. Third, childhood EF mediated the association between preschool EF and adult educational attainment and impulse control but did not operate through adolescent EF. Finally, neither preschool EF nor EF measured at other developmental stages predicted health during adulthood. Together, these findings shed light on the direct and cascading influences of EF across development on important domains of adult functioning. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

An overview of issues in infant and developmental research for the creation of robust and replicable science.

In the last few years, the field of psychology has been challenged with a crisis in the rigor and reproducibility of the science. The focus of these issues has primarily been in social, cognitive, and cognitive neuroscience psychology, however, the area of developmental research is not immune to these issues. This paper provides an overview of the "replication crisis" and the choices made by researchers that are often not noted in methods, thus making the replication of studies more difficult. In this review we discuss issues of researcher flexibility in the data design and selection of sample size, collection, and analysis stages of research. In each of these areas we address examples of bias and how developmental researchers can address these issues in their own research.

Changes in the relation of self-efficacy beliefs and behaviors across development.

Many social science theories that examine the connection between beliefs and behaviors assume that belief constructs will predict behaviors similarly across development. Converging research implies that this assumption may not be tenable across all ages or all belief constructs. Thus, to test this implication, the relation between behavior and beliefs about the self was examined in 2 independent data sets with 2 different constructs: aggression and achievement. The respondents were 6-18 years of age and predominately Caucasian. Results using quasi-simplex structural equation models suggest that self-beliefs become more strongly related to behavior as children grow older independent of the reliability of the measures used. Possible limitations in the use of self-report methodology with young children are discussed.

Career Development From Adolescence Through Emerging Adulthood Insights From Information Technology Occupations.

Career development theories suggest that social-contextual experiences are influential in individuals' career interests, aspirations, and skill development and may be a source of gender and ethnic differences in certain career fields. In this mixed methods study, we examine the supportive and obstructive career-related experiences of 13 men and 13 women (modal age 25). Interviews focused primarily on the pathway toward or away from an information technology (IT) career. Thematic coding indicated that parents were mostly supportive, while experiences in school and work occasionally made individuals reconsider their career plans. Social influences often changed developmentally as participants entered full-time jobs. Gendered participation in IT was often attributed to women's perception that it is a male-oriented field.

Sharing as a model for understanding division.

Emerging research suggests that children's ability to divide is the best predictor of later arithmetic development. Although division is typically taught around grade 3, children much younger than this practice division when sharing and allocating resources (e.g. sharing food). To test the hypothesis that social sharing abilities are linked to the emergence of complex numerical division abilities, we examined sharing and division abilities in adults and children. The first study used functional near infrared spectroscopy to examine the neurocognitive bases of division in adults (N=28; age range: 18-23 years) during a task that evaluated their judgment of proportions in the context of sharing, as well as traditional numerical division tasks. The second study explored the relation between sharing and emergent math abilities in children (N=53; age range: 4-6 years) using the same sharing task and established math measures. Our findings suggest that social sharing activities might engage similar cognitive mechanisms that support mathematical reasoning. The study informs theories of numerical cognition and highlights the importance of examining gaps in how early life activities support cognitive development.

Math and science motivation: A longitudinal examination of the links between choices and beliefs.

This study addresses the longitudinal associations between youths' out-of-school activities, expectancies-values, and high school course enrollment in the domains of math and science. Data were collected on 227 youth who reported on their activity participation in 5th grade, expectancies-values in 6th and 10th grade, and courses taken throughout high school. Math and science course grades at 5th and 10th grade were gathered through school record data. Results indicated youths' math and science activity participation predicted their expectancies and values, which, in turn, predicted the number of high school courses above the predictive power of grades. Although there were mean-level differences between boys and girls on some of these indicators, relations among indicators did not significantly differ by gender.

Parents, peers, and problem behavior: a longitudinal investigation of the impact of relationship perceptions and characteristics on the development of adolescent problem behavior.

This study examined longitudinal relations among adolescents' family relationships, peer relationships, and problem behavior. Participants were 1,357 African American and European American adolescents who were interviewed at 3 time points: 7th grade (mean age = 12.7 years), the summer after 8th grade (mean age = 14.2 years), and 11th grade (mean age = 17.1 years). For all racial and gender groups, 7th-grade family characteristics (youth perceptions of autonomy and warmth) predicted a risky peer context during 8th grade, which in turn predicted problem behavior during 11th grade. Additionally, problem behavior in the 7th grade predicted 11th-grade problem behavior, directly as well as indirectly through the peer context. Racial and gender differences are discussed, as are implications for future research.