Testing an Integrative Contextual Career Development Model With Adolescents From High‐Poverty Urban Areas

Variations in the economic recovery rate across the United States have led to even greater chasms that separate the employed, unemployed, and underemployed (DeSilver, 2017 ). Therefore, understanding and supporting the career development of future generations is critical—especially for those who live outside the context of social privilege. The authors examined the applicability of the integrative contextual model of career development (ICM; Lapan, 2004 ) to a sample of 220 adolescents (129 boys, 91 girls) from a high‐poverty urban area. Results indicated that a canonical variate comprising foundational ICM skills (e.g., career exploration, goal setting) predicted a variate composed of ICM outcomes (e.g., self‐efficacy, vocational identity), thus supporting the usefulness of the ICM framework for this population. The skill of setting viable career goals was an especially strong predictor of outcomes. Implications for career counseling with adolescents living in high‐poverty urban areas and directions for future research are discussed.     

Aspirations and Setbacks of Working Children in Addis Ababa: Can They Realise Their Futures?

Based on interviews with 45 children, this article looks at the life situations and aspirations of working children in Addis Ababa, Ethiopia, including their hopes, efforts and struggles to make their dreams come true. Pushed by the need for survival, the children work and nearly half go to school. They demonstrate agency, taking care of themselves, supporting families and aspiring to change their lives. However, they also face challenges that make achieving their aspirations difficult. The authors argue that agency alone is not sufficient to help them realise their aspirations unless buffered by supportive structures and systems.     

Poverty and educational achievement in the US: A less-biased estimate using PISA 2012 data

In the current paper, we employ the most recent Programme for International Student Assessment (PISA) data to calculate a less-biased estimate of poverty on US achievement. The PISA was specifically chosen as it is an assessment removed from a specific curriculum and instead focuses on concepts that students should know in order to participate in a global economy. Using a propensity score matching approach, our findings suggest that US students in poverty have notable educational attainment deficiencies compared to a matched group of students who are not in poverty. In other words, when we select two students who have a great deal in common but for the fact that one comes from a poverty background, the student in poverty is expected to perform nearly 28 points, or about a quarter of a standard deviation lower, on the PISA assessment. In real terms, this puts math achievement for children not in poverty on-par with the Organisation for Economic Co-operation and Development (OECD) average, while children in poverty are well below the OECD average.     

Stakeholder perceptions of contextual factors related to PBIS implementation in high need schools

Positive behavior intervention and supports (PBIS) is a thoroughly researched three-tiered framework for preventing and treating challenging behavior in schools. While more than 20 years of research contribute to the literature base, less is known about PBIS implementation in high-needs school settings, particularly those that serve students predominantly from low-income families and majority minority student populations across urban and rural districts. This study investigated the critical contextual factors of PBIS implementation from the stakeholder perspective. Specifically, we surveyed 161 participants including teachers, school staff members, and administrators who were PBIS team members and had received technical assistance in PBIS implementation. The completed surveys were analyzed with participants and their schools coded for district type, Title I funding, and position in order to determine how the perceptions of issues such as buy-in, administrator support, PBIS in secondary school settings, and poverty affect PBIS implementation and team needs. The factor analysis and resulting structure along with statistically significant results for each factor are presented along with implications.     

The Great Recession of 2007: An Agenda for Social Justice

The Great Recession, the most severe economic crisis since the Great Depression, officially began in December 2007 with an 8 trillion dollar housing bubble and lasted until June 2009, resulting in loss in consumer spending and collapse in the nation’s business investment. For American workers, the Great Recession had far-reaching implications: unemployment, underemployment, pay cuts, and cutbacks in household spending. Although social work has a historical commitment to address the vulnerabilities of people and communities, we argue that the profession neglected to understand fully the factors associated with the Great Recession and to mount an agenda for justice in response to its worker-related impact.     

Estimating the population proportion in modified ranked set sampling methods

In this paper, proportion estimators and associated variance estimators are proposed for a binary variable with a concomitant variable based on modified ranked set sampling methods, which are extreme ranked set sampling (ERSS), median ranked set sampling (MRSS), percentile ranked set sampling (Per-RSS) and L ranked set sampling (LRSS) methods. The Monte Carlo simulation study is performed to compare the performance of the estimators based on bias, mean squared error, and relative efficiency for different levels of correlation coefficient, set and cycle sizes under normal and log-normal distributions. Moreover, the study is supported with real data application.     

Graduating Out of Poverty Across Generations: Unpacking Children’s Well‐being Trajectories in Burundi

Graduation model interventions represent a new wave of anti‐poverty programming that seeks to offer a sustainable pathway out of poverty. An expanding evidence base points towards positive economic outcomes at household level but little is known about impacts on child well‐being. This paper investigates children’s well‐being in Burundi during and after participation in a graduation model programme using a longitudinal mixed‐methods approach. The programme is found to improve child well‐being, particularly in relation to housing, food security and education. Covariate shocks undermine sustainability of effects but greater knowledge, experience and prioritisation of children’s needs contribute to harnessing improved outcomes.     

Policy innovation and policy realisation: the example of children future education and development accounts in Taiwan

ABSTRACT

The Children Future Education and the Development Accounts (CFEDAs) are the first anti-poverty policy in Taiwan developed to provide incentives for the poor to accumulate assets for their future. Using CFEDAs as an example, this article analyses the process of developing and implementing an asset-based policy. It begins with an introduction to the policy structure. It then reviews the history of how the innovative idea of building assets for the poor became a policy proposal before presenting the convergence of three policy streams driving the prioritisation of CFEDAs in Taiwan’s policy agenda. It concludes with challenges facing the policy implementation.     

Financial journeys of Australian parents after separation – transitions into and out of poverty

It is well established that relationship separation has greater negative economic consequences for mothers than for fathers in Australia and other developed countries. While research has shown that, at an aggregate level, such negative impacts tend to diminish with time, the rate of change is generally slower for mothers than fathers, and a higher proportion of mothers than fathers continue to experience entrenched financial difficulties. Less is known about the variability of economic journeys experienced by women and men, taken separately, and factors influencing diverse economic trajectories. Drawing on data from the Longitudinal Study of Separated Families (LSSF), which followed up a large sample parents at three post‐separation points, this article examines poverty rates across a 4‐year period, transitions into and out of poverty and factors affecting these pathways.     

Beyond Piketty: A new perspective on poverty and inequality in India

The socio-economic literature has focused much on how overall inequality in income distribution (frequently measured by the Gini coefficient) undermines the “trickle down” effect. In other words, the higher the inequality in the income distribution, the lower is the growth elasticity of poverty. However, with the publication of Piketty’s magnum opus (2014), and a subsequent study by Chancel and Piketty (2017) of evolution of income inequality in India since 1922, the focus has shifted to the income disparity between the richest 1% (or 0.01%) and the bottom 50%. Their central argument is that the rapid growth of income at the top end of millionaires and billionaires is a by-product of growth. The present study extends this argument by linking it to poverty indices in India. Based on the India Human Development Survey 2005–12 – a nationwide panel survey-we examine the links between poverty and income inequality, especially in the upper tail relative to the bottom 50%, state affluence (measured in per capita income) and their interaction or their joint effect. Another feature of our research is that we analyse their effects on the FGT class of poverty indices. The results are similar in as much as direction of association is concerned but the elasticities vary with the poverty index. The growth elasticities are negative and significant for all poverty indices. In all three cases, the disparity between the income share of the top 1% and share of the bottom 50% is associated with greater poverty. These elasticities are much higher than the (absolute) income elasticities except in the case of the poverty gap. The largest increase occurs in the poverty gap squared – a 1% greater income disparity is associated with a 1.24% higher value of this index. Thus the consequences of even a small increase in the income disparity are alarming for the poorest.