Answering Developmental Questions Using Secondary Data

Secondary data analysis of large longitudinal and national data sets is a standard method used in many social sciences to answer complex questions regarding behavior. In this article, we detail the advantages of using these data sets to study developmental questions across the life span. First, we provide an overview of how using secondary data can increase studies' scientific integrity. Then, we detail where and how data sets can be obtained that answer specific questions. Finally, we discuss methodological issues related to using longitudinal, population data sets. These data sets can enhance science and test theories by increasing the rigor and generalizability of research to the general population, making secondary data analysis an important method to consider.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/115923/1/cdep12151.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/115923/2/cdep12151_am.pd

Children's Time With Fathers in Intact Families

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/73550/1/j.1741-3737.2001.00136.x.pd

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

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/115932/1/cdev12416_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/115932/2/cdev12416.pd

What Is a Representative Brain? Neuroscience Meets Population Science

The last decades of neuroscience research have produced immense progress in the methods available to understand brain structure and function. Social, cognitive, clinical, affective, economic, communication, and developmental neurosciences have begun to map the relationships between neuro-psychological processes and behavioral outcomes, yielding a new understanding of human behavior and promising interventions. However, a limitation of this fast moving research is that most findings are based on small samples of convenience. Furthermore, our understanding of individual differences may be distorted by unrepresentative samples, undermining findings regarding brain–behavior mechanisms. These limitations are issues that social demographers, epidemiologists, and other population scientists have tackled, with solutions that can be applied to neuroscience. By contrast, nearly all social science disciplines, including social demography, sociology, political science, economics, communication science, and psychology, make assumptions about processes that involve the brain, but have incorporated neural measures to differing, and often limited, degrees; many still treat the brain as a black box. In this article, we describe and promote a perspective—population neuroscience—that leverages interdisciplinary expertise to (i) emphasize the importance of sampling to more clearly define the relevant populations and sampling strategies needed when using neuroscience methods to address such questions; and (ii) deepen understanding of mechanisms within population science by providing insight regarding underlying neural mechanisms. Doing so will increase our confidence in the generalizability of the findings. We provide examples to illustrate the population neuroscience approach for specific types of research questions and discuss the potential for theoretical and applied advances from this approach across areas

Socializing children through language

xii, 187 pages : illustrations ; 23 c

Race Differences in Parental Influences on Child Achievement Multiple Pathways to Success

Using data from a national multiethnic, longitudinal study of children, this study examined the process of how parents’ educational attainment is related to children’s achievement through the beliefs and behaviors of parents and how this influence varies by race/ethnicity. Measures of socioeconomic status, parental expectations for educational success, reading, school involvement, and warmth were collected through home interviews. Achievement measures were collected in kindergarten and third grade. Using structural equation modeling techniques, we found parents’ educational attainment to be an important predictor of children’s achievement as well as the change in their achievement across time. Parental beliefs and behaviors were important indirect pathways of this influence, especially for European American families, but varied in important ways by race/ethnicity. Parents’ educational attainment is a powerful predictor of what parents provide in the home environment, and researchers and policymakers who want to understand children’s achievement need to examine the important role that education may play in child development

The Influence of College Education on Parents and Children in Low-Income Families

Research in developmental psychology often contains samples where education and income are highly related. This study examines characteristics of low-income families who have at least one parent with a college education and how their children’s achievement and parenting practices compare to other types of families. Using the Early Childhood Longitudinal Study 1998–1999, 768 families were identified as low income and college educated. The majority of parents were White, working, and married, with high educational expectations. Children from low-income, college-educated families scored higher on achievement tests compared to children from low-income, less educated and high-income, less educated families. Compared to these same two types of families, low-income, college-educated parents were more involved in school and home activities, such as taking their child to libraries. The present findings extend understanding of, and confront common stereotypes about, families living in or near poverty. Even when lacking financial resources, education may provide a protective buffer for low-income families

The Role of Parent Educational Attainment in Parenting and Children's Development

Socioeconomic status (SES)—indexed via parent educational attainment, parent occupation, and family income—is a powerful predictor of children’s developmental outcomes. Variations in these resources predict large academic disparities among children from different socioeconomic backgrounds that persist over the years of schooling, perpetuating educational inequalities across generations. In this article, we provide an overview of a model that has guided our approach to studying these influences, focusing particularly on parent educational attainment. Parents’ educational attainment typically drives their occupations and income and is often used interchangeably with SES in research. We posit that parent educational attainment provides a foundation that supports children’s academic success indirectly through parents’ beliefs about and expectations for their children, as well as through the cognitive stimulation that parents provide in and outside of the home environment. We then expand this model to consider the intergenerational contributions and dynamic transactions within families that are important considerations for informing potential avenues for intervention

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\u27 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