- Award ID(s):
- 2018554
- NSF-PAR ID:
- 10346821
- Author(s) / Creator(s):
- ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; more »
- Date Published:
- Journal Name:
- Nature
- Volume:
- 608
- Issue:
- 7921
- ISSN:
- 0028-0836
- Page Range / eLocation ID:
- 122 to 134
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
Abstract Social capital—the strength of an individual’s social network and community—has been identified as a potential determinant of outcomes ranging from education to health 1–8 . However, efforts to understand what types of social capital matter for these outcomes have been hindered by a lack of social network data. Here, in the first of a pair of papers 9 , we use data on 21 billion friendships from Facebook to study social capital. We measure and analyse three types of social capital by ZIP (postal) code in the United States: (1) connectedness between different types of people, such as those with low versus high socioeconomic status (SES); (2) social cohesion, such as the extent of cliques in friendship networks; and (3) civic engagement, such as rates of volunteering. These measures vary substantially across areas, but are not highly correlated with each other. We demonstrate the importance of distinguishing these forms of social capital by analysing their associations with economic mobility across areas. The share of high-SES friends among individuals with low SES—which we term economic connectedness—is among the strongest predictors of upward income mobility identified to date 10,11 . Other social capital measures are not strongly associated with economic mobility. If children with low-SES parents were to grow up in counties with economic connectedness comparable to that of the average child with high-SES parents, their incomes in adulthood would increase by 20% on average. Differences in economic connectedness can explain well-known relationships between upward income mobility and racial segregation, poverty rates, and inequality 12–14 . To support further research and policy interventions, we publicly release privacy-protected statistics on social capital by ZIP code at https://www.socialcapital.org .more » « less
-
The impact of technology on workforce development and socio-economic prosperity has made K-12 computing engineering and STEM in general a national educational priority. However, the integration of computing remains obstructed by resources and lack of professional development to support students’ learning. Further challenging is that students’ STEM attitudes and interest do not matriculate with them into higher education. This issue is especially critical for traditionally underrepresented and underserved populations including females, racial/ethnic minority groups, and students of low-socioeconomic status (SES). To help mitigate these challenges, we developed an unplugged (computer-less) computing engineering and robotics lesson composed of three introductory computing concepts, sequencing, debugging, and sensing/ decision- making, using a small robot-arm and tangible programming blocks. Through students’ sequencing of operations, debugging, and executing of complex robotic behavior, we seek to determine if students’ interest or attitudes change toward engineering. Nine one-hour introductory pilot lessons with 148 students, grades 6-10, at two public middle schools, and one summer camp were conducted. For 43% of students, this was their first time participating in an engineering lesson. We measured students’ engineering interest and attitudes through a 15 question pre- and post-lesson survey and calculated aggregate factor scores for interest and attitudes. We found low-SES students’ a priori interests and attitudes tend to be lower and more varied than those of their high-SES peers. These preliminary results suggest that the integration of introductory computing and robotics lessons in low-SES classrooms may help students reach similar levels of engineering interest and attitudes as their high-SES peers.more » « less
-
Abstract Background Most research on socioeconomic status (SES) and eating disorders (EDs) has focused on young White women. Consequently, little is known regarding how SES may relate to EDs/disordered eating in older adults, men, or people with different racial identities. We examined whether associations between SES and EDs/disordered eating differed across age, sex, and racial identity in a large, population‐based sample spanning early‐to‐later adulthood.
Methods Analyses included 2797 women and 2781 men ages 18–65 (
M age = 37.41, SD = 7.38) from the population‐based Michigan State University Twin Registry. We first examined associations between SES and dimensional ED symptoms, binge eating (BE), and self‐reported ED diagnoses across age and sex in the full sample. We then examined the impact of racial identity on associations by conducting within‐ and between‐group analyses among Black and White participants.Results In the full sample, lower SES was associated with significantly greater odds of BE and lifetime EDs in men, but not women, across adulthood. The association between lower SES and greater BE risk was stronger for Black men than for White men, though significant in both groups. Conversely, Black women showed a
positive association between SES and dimensional ED symptoms that significantly differed from effects for Black men and White women.Conclusions Associations between socioeconomic disadvantage and EDs/disordered eating may be particularly robust for men in adulthood, especially men with a marginalized racial identity. Oppositely, Black women may encounter social pressures and minority stress in higher SES environments that could contribute to somewhat heightened ED risk.
Public Significance Little is known regarding how associations between socioeconomic status (SES) and eating disorders (EDs) may differ across age/sex or racial identity. We found lower SES was associated with greater odds of a lifetime ED or binge eating in men only, with a particularly strong association between lower SES and binge eating for Black men. Results highlight the importance of examining how SES‐ED associations may differ across other aspects of identity.
-
Math achievement in U.S. high schools is a consistent predictor of educational attainment. While emphasis on raising math achievement continues, school-level interventions often come at the expense of other subjects. Arts courses are particularly at risk of being cut, especially in schools serving lower socioeconomic status youth. Evidence suggests, however, that arts coursework is beneficial to many educational outcomes. We use data on 20,590 adolescents from the High School Longitudinal Study of 2009 to answer two research questions: (1) Does student accumulation of fine arts courses across different topic areas relate positively to math test scores in high school? (2) Does school SES differentiate this potential association? Results indicate that youth attending higher-SES schools take more art courses and taking music courses is related to higher math test scores. However, this benefit only seems to only apply to more socially advantaged student bodies. Results reveal a site of additional educational advantage for already privileged youth.
-
This article investigates the understudied relationship between teacher socioeconomic status (SES) and retention. Drawing on Bourdieu’s theory of social reproduction and longitudinal data from 378 mathematics teachers, we use logistic regression to examine whether teacher SES, conceptualized and measured in terms of their economic, social, and cultural capital, is associated with their school, district, and professional retention at five years. We find teacher SES to be significantly related to retention at five years, and this is independent of teacher race. Practically, the study suggests that incorporating teacher SES into teacher recruitment and selection efforts, as has been done with teacher race, might be a valuable next step for schools and districts in which teacher retention has been a long-standing, serious issue.