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

Socioemotional wellbeing of mixed race/ethnic children in the UK and US: patterns and mechanisms

Existing literature suggests that mixed race/ethnicity children are more likely to experience poor socioemotional wellbeing in both the US and the UK, although the evidence is stronger in the US. It is suggested that this inequality may be a consequence of struggles with identity formation, more limited connections with racial/ethnic/cultural heritage, and increased risk of exposure to racism. Using data from the UK Millennium Cohort Study (n = 13,734) and the US Early Childhood Longitudinal Study-Birth Cohort (n ~ 6250), we examine differences in the socioemotional wellbeing of mixed and non-mixed 5/6 year old children in the UK and US and explore heterogeneity in outcomes across different mixed groups in both locations. We estimate a series of linear regressions to examine the contribution of factors that may explain any observed differences, including socio-economic and cultural factors, and examine the extent to which these processes vary across the two nations. We find no evidence of greater risk for poor socioemotional wellbeing for mixed race/ethnicity children in both national contexts. We find that mixed race/ethnicity children experience socio-economic advantage compared to their non-mixed minority counterparts and that socio-economic advantage is protective for socioemotional wellbeing. Cultural factors do not contribute to differences in socioemotional wellbeing across mixed and non-mixed groups. Our evidence suggests then that at age 5/6 there is no evidence of poorer socioemotional wellbeing for mixed race/ethnicity children in either the UK or the US. The contrast between our findings and some previous literature, which reports that mixed race/ethnicity children have poorer socioemotional wellbeing, may reflect changes in the meaning of mixed identities across periods and/or the developmental stage of the children we studied

A qualitative analysis of stay-at-home parents’ spanking tweets

Objective This qualitative study used Twitter to examine stay-at-home parents’ publicly available postings to Twitter about discipline and spanking. Many adults still support the use of spanking despite a substantial body of evidence demonstrating that spanking is linked to a range of negative child outcomes. Little is currently known about how parents think about spanking as a disciplinary practice and how parents express these beliefs online. Method Five million publicly available tweets were collected from self-identified stay-at-home parents. Tweets were screened for discipline and spanking content. A qualitative analysis was conducted on the final set of tweets (N= 648). Results Stay-at-home parents were most likely to tweet about information related to discipline and spanking compared to tweets that made up other global themes (e.g., discipline tips). Parents most commonly posted tweets that reflected their anti-spanking beliefs compared to tweets that made up other subthemes (e.g., pro-spanking). Tweets in support of spanking emerged as well, with fathers being more likely than mothers to tweet about pro-spanking beliefs and desires. However, mothers were more likely than fathers to tweet about pro-spanking behaviors. Conclusion Our results provide evidence that stay-at-home parents turn to Twitter to obtain disciplinary information and disclose their anti-spanking and pro-spanking beliefs. Anti-spanking tweets potentially reflect changing social norms and suggest that some stay-at-home parents on Twitter may be engaging in selective self-presentation. Thus, Twitter may be one avenue to use for interventions to set social norms that aim to reduce parental corporal punishment.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/163749/1/2020-Lee-Aqualitativeanalysisofstayathome.pdfDescription of 2020-Lee-Aqualitativeanalysisofstayathome.pdf : Main articl

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

Preregistration of secondary data analysis:A template and tutorial

Multivariate analysis of psychological dat

Getting under the skin: children's health disparities as embodiment of social class

Social class gradients in children’s health and development are ubiquitous across time and geography. The authors develop a conceptual framework relating three actions of class—material allocation, salient group identity, and inter-group conflict—to the reproduction of class-based disparities in child health. A core proposition is that the actions of class stratification create variation in children’s mesosystems and microsystems in distinct locations in the ecology of everyday life. Variation in mesosystems (e.g., health care, neighborhoods) and microsystems (e.g., family structure, housing) become manifest in a wide variety of specific experiences and environments that produce the behavioral and biological antecedents to health and disease among children. The framework is explored via a review of theoretical and empirical contributions from multiple disciplines and high-priority areas for future research are highlighted

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

Blalock Lecture, ICPSR, July 2019

Presentation at 2019 Blalock Lectures, ICPSR Summer Progra

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 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