Family and sociodemographic influences on patterns of leaving home in Postwar Britain

We identify child-level and parent-level characteristics associated with children’s patterns of leaving home. We use a multilevel discrete-time hazards model to examine the impact of family and demographic factors at both levels, and utilize the Alternating Conditional Expectation algorithm optimally to transform the dependent and independent variables. We find that measured variables at both the child and the parent level have important influences, as do period and cohort factors. However, unmeasured parent-level factors have an influence on the departure of children that is broadly similar in magnitude to measured factors.     

Assessing outcomes in an English authority (The Royal Borough of Kensington and Chelsea)

The local authority has used the Looking After Children materials to develop needs-led and outcome-oriented services at both individual and strategic planning levels. A specific study used data from the Assessment and Action Records to identify priority needs and desired outcomes for young people leaving care.     

Supplementing a survey with respondent Twitter data to measure e-cigarette information exposure

ABSTRACT

Social media data are increasingly used by researchers to gain insights on individuals’ behaviors and opinions. Platforms like Twitter provide access to individuals’ postings, networks of friends and followers, and the content to which they are exposed. This article presents the methods and results of an exploratory study to supplement survey data with respondents’ Twitter postings, networks of Twitter friends and followers, and information to which they were exposed about e-cigarettes. Twitter use is important to consider in e-cigarette research and other topics influenced by online information sharing and exposure. Further, Twitter metadata provide direct measures of user’s friends and followers as opposed to survey self-reports. We find that Twitter metadata provide similar information to survey questions on Twitter network size without inducing recall error or other measurement issues. Using sentiment coding and machine learning methods, we find Twitter can elucidate on topics difficult to measure via surveys such as online expressed opinions and network composition. We present and discuss models predicting whether respondents’ tweet positively about e-cigarettes using survey and Twitter data, finding the combined data to provide broader measures than either source alone.     

International cooperation in stockpiles and tariffs for coping with oil supply disruptions

This paper provides a unified treatment of oil stockpiling and demand restraint as policy responses for enhancing energy security and examines the implications of recent changes in the structure and performance of the international oil market for the design of policies. These issues are addressed using a dynamic programming framework in which international policy actions of key oil-importing countries are modeled as a Nash dynamic game. Significant policy implications from the analysis include: (1) the result that, with realistic assumptions about disruption risks and inventory capacities, differences between noncooperative and coordinated stockpile policies appear to be minor and (2) significant mutual gains could be reaped from a modest degree of collective restraint on normal market oil demand. The broader role of international cooperation in enhancing energy security is also discussed.     

DESENSITIZING HERBERT BLUMER'S WORK ON RACE RELATIONS

Recent applications of Herbert Blumer's group position model to the study of contemporary race prejudice have misrepresented the ongoing process of definition and accommodation that, according to Blumer, mediates race relations. By conforming to the canons of research design and using standard sample surveys, public opinion polls, variables analysis, and statistical techniques to study perceptions of group threat, group hostility, and prejudicial attitudes, Blumer's dynamic social imagery, as well as the socially grounded methodology he sought to promote, are undermined. The result is a static depiction of race relations that has nothing to do with the variegated experiential complexities that Blumer claimed underlie all human group life.     

The Symbolic Dilemmas of Suburban Poverty: Challenges and Opportunities Posed by Variations in the Contours of Suburban Poverty1

Poverty has increased significantly in U.S. suburbs since the 1990s. What we know about suburban poverty is largely limited to demographic and economic information. Building off the organizational perspective approach, I use in‐depth interviews with nonprofit, antipoverty organizations in eight Pennsylvania suburbs to better understand the suburban poverty experience. My focus is on how organizations compete for external resources. By working directly with the poverty problem while also working in broader metropolitan political and economic fields of decision making, this “middleman” role ( Marwell, 2007 ) gives us insights into contemporary poverty dynamics for suburbs. I find that how suburban organizational leaders perceive the challenges they face, and what strategies they adopt to confront such difficulties, revolves around symbolic dilemmas posed by the history, distribution, and politics of poverty in the suburbs. Symbolic dilemmas cluster around three different situational contexts of poverty in the suburbs. I use this to develop a three‐part typology of suburban poverty: symbiotic suburbs, skeletal suburbs, and overshadowed suburbs. This typology has implications for future research and for policymakers interested in developing tools to appropriately address this pressing issue.     

Developmental Career Counseling with Teenage Parents

Although teenage parenthood is recognized by many counselors as a developmental identity crisis, it rarely has been viewed as a developmental career crisis. This article suggests developmental career assessment and counseling procedures for use with teenage parents.