Why Who Cleans Counts

2020 ◽  
Author(s):  
Shannon Davis ◽  
Theodore Greenstein
Keyword(s):  
United States ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
The United States ◽  
Power Dynamics ◽  
Latent Trajectory ◽  
Level Data ◽  
High Workload ◽  
Childhood Home ◽  
Over Time

While housework is an often-studied phenomenon, Why Who Cleans Counts frames the performance of housework as a way to understand power dynamics within couples. Using couple-level data from the United States-based National Survey of Families and Households (N = 3,906), we perform Latent Profile Analysis to identify five categories, or classes, of couples: Ultra-traditional, Traditional, Transitional Husbands, Egalitarian, and Egalitarian High Workload. The book describes how the housework classes and the behaviors of the couples within them reveal the power dynamics within the couples, power dynamics that center around gendered norms. Using Latent Trajectory Analysis, we follow the couples over time to examine change and stability in their housework performance; their behavior over time also reveals the use of power in their relationships. Finally, we examine the reported housework time of the adult children of the NSFH couples to determine the extent to which the power dynamics experienced in one’s childhood home shapes one’s own adult gendered performance of housework. The book concludes with suggestions for how practitioners and scholars might use the book’s findings given the changing demographics of the United States.

scholarly journals Unequal Higher Education in the United States: Growing Participation and Shrinking Opportunities

2018 ◽  
Vol 7 (9) ◽  
pp. 167 ◽  
Author(s):  
Barrett Taylor ◽  
Brendan Cantwell
Keyword(s):  
Higher Education ◽  
United States ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
The United States ◽  
Diverse Group ◽  
Public And Private ◽  
Individual Level ◽  
Limited Opportunity ◽  
Over Time

This paper argues that rising institutional inequality is a component of individual-level inequality in the United States because U.S. higher education provides a diverse group of students with unequal access to different kinds of institutions. Using latent profile analysis, we classified all public and private nonprofit higher education institutions in the U.S. from 2005 to 2013 into seven categories. We held these categories stable over time and allowed institutions to move between them. “Good value” institutions were scarce and tended to limit access through selective admission. Only Subsidy Reliant institutions that were directly supported by government appropriations regularly provided good value seats to a racially diverse group of students. Yet the number of institutions in the Subsidy Reliant category declined markedly over time. The resulting system offered access to many students but provided limited opportunity to secure a good value seat.

Housework and socialization

2020 ◽  
pp. 99-124
Author(s):  
Shannon N. Davis ◽  
Theodore N. Greenstein
Keyword(s):  
Family Relationships ◽  
Family Of Origin ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Empirical Relationship ◽  
The United States ◽  
Power Dynamics ◽  
Parental Socialization ◽  
High Workload ◽  
Division Of Housework

Power dynamics in one’s family of origin shape internalized notions of normative family relationships. Therefore, the division of housework in one’s family of origin socializes children to hold specific attitudes and beliefs about how relationships should work. We examine this hypothesized empirical relationship in Chapter 9 of the book by using Latent Profile Analysis to identify profiles for the adult children of the NSFH couples used to construct the five housework classes (Ultra-traditional, Traditional, Transitional Husbands, Egalitarian, and Egalitarian High Workload). We found three classes for adult female children (Ultra-traditional, Traditional, and Nontraditional) and three classes for adult male children (Traditional, Transitional, and Nontraditional). Children responded to their parental division of labor in gendered ways, providing evidence for not only the parental socialization of housework behaviors but also the challenges faced by women and men in the changing cultural climate of the United States around gender and family responsibilities.

Individual- and School-level Predictors of Latent Profiles of Bullying Victimization: Comparing South Korea and the United States

2021 ◽  
pp. 088626052199795
Author(s):  
Yoonsun Han ◽  
Shinhye Lee ◽  
Eunah Cho ◽  
Juyoung Song ◽  
Jun Sung Hong
Keyword(s):  
United States ◽  
South Korea ◽  
Social Disorganization ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
The United States ◽  
School Level ◽  
Social Disorganization Theory ◽  
Bullying Victimization ◽  
Latent Profiles

This cross-national research investigated nationally representative adolescents from South Korea and the United States, explored similarities and differences in latent profiles of bullying victimization between countries, and examined individual- and school-level variables that predict such latent profiles supported by the Social Disorganization Theory. The fourth-grade sample of the 2015 Trends in International Mathematics and Science Study from South Korea ( N = 4,669) and the United States ( N = 10,029) was used to conduct a latent profile analysis based on eight items of the bullying victimization questionnaire. Multilevel logistic regression was conducted using latent profiles as dependent variables. Independent variables include individual-level (material goods, school absence, academic interest, school belonging) and school-level (concentration of affluent families, school resources, the severity of delinquency, academic commitment) factors. More similarities existed than differences in the latent groups of bullying victimization between South Korea ( rare, low-moderate, verbal-relational-physical, and multi-risk) and the United States ( rare, low-moderate, verbal-relational, and multi-risk). Evidence for school-level variables as predictors of bullying victimization profiles was stronger for adolescents in the United States, with a concentration of affluent families and severity of delinquency being significant in four of the six models. For the South Korean sample, the severity of delinquency predicted bullying victimization in only one model. Examination of both individual- and school-level factors that predict unique bullying victimization experiences grounded in Social Disorganization Theory may be informative for addressing key areas of intervention—especially at the school-level context in which victimization primarily takes place and where anti-bullying intervention programs are often provided.

The five classes

2020 ◽  
pp. 29-38
Author(s):  
Shannon N. Davis ◽  
Theodore N. Greenstein
Keyword(s):  
Division Of Labor ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Complete Data ◽  
National Study ◽  
Level Data ◽  
High Workload ◽  
Reported Data ◽  
Latent Profile

Chapter 4 presents findings from couple-level data from the National Study of Families and Households (Wave 1). We employ latent profile analysis to describe categories, or classes, of couples. We found that couples fell into five categories: Ultra-traditional, Traditional, Transitional Husbands, Egalitarian, and Egalitarian High Workload. This chapter presents the profiles of each of these classes of couples based upon their joint division of labor. The analysis is unique in that we use self-reported data from each spouse in order to document patterns across the 3,906 couples for whom we have complete data.

scholarly journals The evolution of infant mortality inequality in the United States, 1960–2016

2020 ◽  
Vol 6 (29) ◽  
pp. eaba5908
Author(s):  
Nick Turner ◽  
Kaveh Danesh ◽  
Kelsey Moran
Keyword(s):  
United States ◽  
Infant Mortality ◽  
The United States ◽  
Mortality Rates ◽  
County Level ◽  
Level Data ◽  
Antipoverty Programs ◽  
The Relationship ◽  
Over Time ◽  
Mortality Inequality

What is the relationship between infant mortality and poverty in the United States and how has it changed over time? We address this question by analyzing county-level data between 1960 and 2016. Our estimates suggest that level differences in mortality rates between the poorest and least poor counties decreased meaningfully between 1960 and 2000. Nearly three-quarters of the decrease occurred between 1960 and 1980, coincident with the introduction of antipoverty programs and improvements in medical care for infants. We estimate that declining inequality accounts for 18% of the national reduction in infant mortality between 1960 and 2000. However, we also find that level differences between the poorest and least poor counties remained constant between 2000 and 2016, suggesting an important role for policies that improve the health of infants in poor areas.

Insights for helping families

2020 ◽  
pp. 125-134
Author(s):  
Shannon N. Davis ◽  
Theodore N. Greenstein
Keyword(s):  
United States ◽  
Intimate Relationships ◽  
The United States ◽  
Power Dynamics ◽  
Latent Trajectory ◽  
Changing Demographics ◽  
Latent Profile

This concluding chapter of the book summarizes our key findings, focusing on the evidence of housework as a proxy for understanding power dynamics in couples. We present suggestions for practitioners based upon the changing demographics of the United States along side our insights from the Latent Profile and Latent Trajectory Analyses described in the book. We conclude with suggestions for family scholars interested in trying to understand power dynamics in intimate relationships.

scholarly journals Latent Trajectories and Profiles of Commercial Cigarette Smoking Frequency From Adolescence to Young Adulthood Among North American Indigenous People

2020 ◽  
Vol 22 (11) ◽  
pp. 2066-2074 ◽  
Author(s):  
Dane Hautala ◽  
Kelley Sittner ◽  
Melissa Walls
Keyword(s):  
United States ◽  
Cigarette Smoking ◽  
Indigenous People ◽  
Young Adulthood ◽  
Early Adolescence ◽  
North American ◽  
The United States ◽  
Early Adolescent ◽  
Latent Trajectory ◽  
Over Time

Abstract Introduction North American Indigenous people (ie, American Indian/Alaska Native and Canadian First Nations) have the highest rates of commercial cigarette smoking, yet little is known about long-term trajectories of use among this population. The purpose of this study is to examine heterogeneous trajectories and profiles of Indigenous cigarette use frequency from early adolescence (mean age: 11.1 years) to young adulthood (mean age: 26.3 years). Aims and Methods Data come from a nine-wave prospective longitudinal study spanning early adolescence through young adulthood among Indigenous people in the Upper Midwest of the United States and Canada (N = 706). Smoking frequency was examined at each wave, and latent class growth analysis was used to examine heterogeneous patterns. Early adolescent and young adult demographics and smoking-related characteristics were examined across these latent trajectory groups. Results In young adulthood, 52% of participants smoked daily/near-daily, and an additional 10% smoked weekly or monthly. Four latent trajectory groups emerged: low/non-smokers (35.2%) who had low probabilities of smoking across the study; occasional smokers (17.2%) who had moderate probabilities of smoking throughout adolescence and declining probabilities of smoking into young adulthood; mid-adolescent onset smokers (21.6%) who showed patterns of smoking onset around mid-adolescence and escalated to daily use in young adulthood; and early-adolescent onset smokers (25.9%) who showed patterns of onset in early adolescence and escalated to stable daily use by late adolescence. Conclusions The findings suggest multiple critical periods of smoking risk, as well as a general profile of diverse smoking frequency patterns, which can inform targeted intervention and treatment programming. Implications Nearly two-thirds (62%) of this sample of Indigenous people were current smokers by early adulthood (mean age = 26.3 years), which is substantially higher than national rates in the United States and Canada. Moreover, in all but one trajectory group, smoking prevalence consistently increased over time, suggesting these rates may continue to rise into adulthood. The longitudinal mixture modeling approach used in this study shows that smoking patterns are heterogeneous, and implications for public health policy likely vary across these diverse patterns characterized by timing of onset of use, escalation in frequency of use, and stability/change over time.

Preferences, Problems and Representation

2015 ◽  
Vol 3 (3) ◽  
pp. 659-681 ◽  
Author(s):  
Will Jennings ◽  
Christopher Wlezien
Keyword(s):  
United States ◽  
Public Opinion ◽  
Public Spending ◽  
The United States ◽  
Policy Preferences ◽  
Aggregate Level ◽  
Survey Question ◽  
The United Kingdom ◽  
Level Data ◽  
Over Time

Scholars studying opinion representation often rely on a survey question that asks about the “most important problem” (MIP) facing the nation. While it is known that MIP responses reflect public priorities, less is known about their connection to policy preferences. This article directly addresses the issue. First, it conceptualizes policy preferences and MIP responses, specifically considering the possibility that the latter may be either policy or outcome based. Second, using aggregate-level data from the United States and the United Kingdom, it then examines the correspondence between public spending preferences and MIP responses over time. The results indicate that MIP responses and spending preferences tap very different things, and that using MIP responses substantially understates the representational relationship between public opinion and policy.

A Longitudinal, Multilevel Analysis of Homicide Against Children Aged 0–9 Years Using State-Level Characteristics: 1979–2007

2014 ◽  
Vol 29 (5) ◽  
pp. 757-770 ◽  
Author(s):  
Emily Douglas ◽  
Jennifer Vanderminden
Keyword(s):  
United States ◽  
Cultural Context ◽  
State Level ◽  
The United States ◽  
Homicide Rate ◽  
Future Research ◽  
Homicide Rates ◽  
Level Data ◽  
Longitudinal Growth Modeling ◽  
Over Time

Annually, over a thousand children are the victims of homicide in the United States Homicide among younger children, 0–9 years of age, is usually perpetrated by parents and caregivers. Researchers neither have tracked changes in the homicide rate among young children over time nor have they used theory to understand what factors may drive these changes. In this analysis of state-level data, we used longitudinal growth modeling and ecological theory to examine changes in homicide rate against children aged 0–9 years from 1979 to 2007. Our results indicate that states are relatively consistent, over time, in their homicide rates. Furthermore, a cultural context of criminal and risky behavior is positively associated with homicide against children. We discuss implications for future research and prevention.

Sign in / Sign up

Export Citation Format

Share Document