The correlation coefficient and models of subjective well-being

The issue has been raised previously that the use of the correlation or squared correlation as an estimate of determination depends on the type of model that is considered (Ozer, 1985). We identify three models of subjective well-being and show that the respective estimates of determination require different interpretations of the correlation statistic. The differences are illustrated using data from the Newfoundland Longitudinal Study of Aging. (NLSA).     

Wealth Mobility of Families Raising Children in the Twenty-First Century

Wealth inequality between the top and bottom deciles has grown over the last 20 years (Piketty and Zucman in Wealth and inheritance in the long run, Centre for Economic Policy Research, London, 2014), as has the racial wealth gap (Shapiro et al. in The roots of the widening racial wealth gap: explaining the black–white economic divide. Institute on Assets and Social Policy, Brandeis University, Waltham, 2013. http://iasp.brandeis.edu/pdfs/Author/shapiro-thomas-m/racialwealthgapbrief.pdf). Within these broad trends of inequality, some families are able to get ahead and grow their wealth, while others are not. Yet we do not understand well the critical variables that increase the likelihood of wealth mobility across the life course—within the same generation. This paper addresses this gap and investigates the following questions: What accounts for intra-generational relative and absolute wealth mobility for families with children in the first decade of the twenty-first century? And how does it differ by race? The paper draws on two longitudinal data sets—the Panel Study of Income Dynamics household survey data matched with neighborhood-level US Census data (1999–2011), and the IASP Leveraging Mobility (LM) study (1998–2011). Applying an integrated mixed methods design, analyses are conducted in three stages: (1) A grounded theory analytic approach of the LM data determines key variables of wealth mobility: homeownership, income, employment characteristics, extended family wealth, negative life events, and neighborhood factors; (2) regression analyses test these indicators for absolute and relative wealth mobility; and (3) recontextualization through further analyses of LM data deepen the regression results by illustrating the pathways of significant wealth mobility predictors. Results reveal that increasing family income, larger family transfers, consistent long-term homeownership, and in some cases white-collar occupations increase the likelihood of upward relative wealth mobility. Negative life events, higher rates of neighborhood poverty, and black race are negatively correlated with the amount of wealth growth. These key drivers of wealth mobility highlight the need for targeted policies that reinforce and expand opportunities for all families to build wealth over the life course.     

Unpaid labour and territorial extraction in digital value networks

Production in knowledge and data-intensive industries is powered by work that can, in theory, be done from anywhere, via cloudwork platforms. Cloudwork platforms govern data value chains in distinct ways to concentrate power and extract value at the global scale. We argue that unpaid labour is a systemic mechanism of accumulation in these digital value networks. In this paper we demonstrate how it is tied to platform business models and facilitated by elements of platform governance including monopsony power, a high degree of spatial flexibility in sourcing labour, regulatory unaccountability and digital enclosure. We draw on a survey of 699 workers on 14 platforms in 74 countries to show that unpaid labour is an engine of South–North value extraction, and workers in the global South perform more unpaid labour than counterparts in the global North. Our findings have important ramifications our understanding of the changing international division of labour and platform capitalism.     

Efficient sampling on the simplex with a self-adjusting logit transform proposal

A vector of k positive coordinates lies in the k-dimensional simplex when the sum of all coordinates in the vector is constrained to equal 1. Sampling distributions efficiently on the simplex can be difficult because of this constraint. This paper introduces a transformed logit-scale proposal for Markov Chain Monte Carlo that naturally adjusts step size based on the position in the simplex. This enables efficient sampling on the simplex even when the simplex is high dimensional and/or includes coordinates of differing orders of magnitude. Implementation of this method is shown with the SALTSampler R package and comparisons are made to other simpler sampling schemes to illustrate the improvement in performance this method provides. A simulation of a typical calibration problem also demonstrates the utility of this method.     

Family group conferences: context,process and ways forward

This is the first part of a two‐part review of the literature, policy and practice relating to family group conferences (FGCs). This first paper explores the background, the global policy context, the theoretical foundations and the process of undertaking FGCs. The literature is extensive in relation to these elements of FGCs, unlike the limited literature relating to outcomes, which is examined in the second part of this review. In the subsequent review, we examine the issue of outcomes, research findings and explore future challenges in implementing FGCs.     

A meta-analytic review of leadership impact research: Experimental and quasi-experimental studies

In this study we set out to conduct a comprehensive quantitative research analysis of literature reporting results on the causal impact of leadership by focusing on examining what we refer to as ‘leadership interventions.’ We defined leadership interventions as those studies where the researcher overtly manipulated leadership as the independent variable through training, assignment, scenario or other means. Our focus included both examining experimental and quasi-experimental as well as lab and field studies conducted in public and private organizations. Our goal was to address a simple question: do leadership interventions have the intended impact and if so to what degree? We conducted a comprehensive review of the published and unpublished literature and uncovered 200 lab and field studies that met our criterion as leadership intervention studies. We report here the findings of a series of meta-analyzed effects comparing the relative impact of leadership interventions across intervention types, leadership theories, and several common dependent variables. Overall, leadership interventions produced a 66% probability of achieving a positive outcome versus a 50–50 random effect for treatment participants, but this effect varied significantly when assessing moderators such as type of leadership theory.