“It's Just a Lot of Work”: Adolescents’ Self‐Presentation Norms and Practices on Facebook and Instagram

We explored adolescents’ (12‐ to 18‐year‐olds; n = 51) awareness of their audience and subsequent self‐presentation practices on Facebook and Instagram through focus group discussions. Findings suggest that teens, who are developmentally able to perceive a situation from the third‐person perspective and who value peer approval, purposefully share content to appear interesting, well liked, and attractive. Some teens invested great effort into posting by these norms, even asking their friends to help; however, this was more common among girls. Older teens especially discussed taking the perspective of their audience when deciding what to post, which is consistent with the finding that perspective taking continues to develop throughout adolescence. These findings suggest that perspective taking skills and need for peer approval influence self‐presentation online.     

Trapped bodies,moving minds: Uncertainty and migration among marginalised urban youth in Ethiopia

This paper from YOUR World Research highlights and explores the role of positive uncertainty in lives, strategies and transitions towards adulthood of marginalised children and youth in two urban locations in Ethiopia. Young men and women embraced notions of positive uncertainty, making journeys to street situations and internationally in search of more hopeful futures. While youth navigate uncertainty positively in the short term, the research suggests this is temporal and their agency relational and embedded. They seek support from peers but still want to belong and be accepted by their families and communities.     

Reports of Conferences,Institutes, and Seminars

Abstract

This column covers sessions from the 2018 Charleston Library Conference, an informal annual gathering of librarians, publishers, electronic resource managers, consultants, and vendors of library materials in Charleston, South Carolina, in November. Topics include the impact of open access and open research, assisting faculty with locating and integrating these resources into their courses through partnerships and open applications, and managing gifts and donations with restricted resources.     

Spatial Analyses of the Impact of Temporary Assistance for Needy Families on Child Neglect Caseloads During the Great Recession

Loss of market income to families is recognized as a major risk factor of child neglect. In the 2008 recession, some poor families replaced their market incomes with cash assistance from Temporary Assistance for Needy Families (TANF). Using secondary data for 42 contiguous jurisdictions and DC, we examined the relationship between increases in TANF caseloads and changes in substantiated child neglect cases in each of the contiguous jurisdiction’s 2008 recession. Key findings suggest that reductions in child neglect cases in the presence of increasing TANF caseloads were more profound in about half the states than any increases in child neglect cases found in the remainder of the states. Applying Exploratory Spatial Data Analysis tools, local spatial clusters were found in four neighboring states in the Midwest-South corridor suggesting that child neglect increases were similar and substantial across these four states. Our findings provide important information to stakeholders who may want to better target federal resources to specific geographic regions. Neighboring states experiencing large increases in child neglect during economic downturns may extend their collaborative efforts so they can develop strategies for improving services. Future research should explain the growth in child neglect with other variables aside from TANF caseloads.     

Long-Term Changes in Attitudes Toward Premarital Sex in the United States: Reexamining the Role of Cohort Replacement

Attitudes toward premarital sex in the United States have changed considerably since the 1970s. However, it is unclear whether these changes are due to cohort replacement, broader changes within cohorts, or a combination of the two processes. We examined within- and between-cohort changes in attitudes toward premarital sex in the United States from 1975 to 2008 using hierarchical age-period-cohort models based on data from the General Social Survey. We used a religious plausibility structure framework to examine several possible mechanisms for within- and between-cohort variation in premarital sex attitudes over time, including changes in religious participation, marital patterns, and family structure. The results provided mixed support for our hypotheses. Attitudes toward premarital sex became more permissive over time in the United States in part because of the process of cohort replacement, but the level of permissiveness peaked with the baby boomer cohorts. This cohort effect is due in part to differences in rates of religious service attendance and educational attainment. However, the overall increase in permissive attitudes toward premarital sex is also due to period effects that are not captured by the measures included in our analyses.     

Identification of the variance components in the general two-variance linear model

Bayesian analyses frequently employ two-stage hierarchical models involving two-variance parameters: one controlling measurement error and the other controlling the degree of smoothing implied by the model's higher level. These analyses can be hampered by poorly identified variances which may lead to difficulty in computing and in choosing reference priors for these parameters. In this paper, we introduce the class of two-variance hierarchical linear models and characterize the aspects of these models that lead to well-identified or poorly identified variances. These ideas are illustrated with a spatial analysis of a periodontal data set and examined in some generality for specific two-variance models including the conditionally autoregressive (CAR) and one-way random effect models. We also connect this theory with other constrained regression methods and suggest a diagnostic that can be used to search for missing spatially varying fixed effects in the CAR model.     

Citizenship Status and TANF Exits: A Proportional Hazard Model

ABSTRACT

This study compared exits between citizen and noncitizen heads of household from the Temporary Assistance to Needy Families (TANF) program. With longitudinal monthly administrative data and a Cox proportional hazard model, the study examined how the economy and recipients’ personal characteristics affected their exits. The sample consisted of 28,308 families headed by citizens and 2,547 families headed by a noncitizen on TANF. Key findings reveal that families on TANF exit the rolls primarily during the first 8 months after entrance. Results showed that families headed by a noncitizen remain on TANF longer than families headed by a citizen. The roles of minimum wage and unemployment in shaping the risk of exit for noncitizen compared to citizen families were explored. Suggestions for further research and how to serve recipients best in times of economic downturns are provided. Similar research needs to be conducted in states where temporary TANF time limits do not exist.