The Persistence of High Levels of Living Alone Among Adults with Disabilities in Sweden, 1993–2011

Population Research and Policy Review - This study investigates how the probability to live alone has developed among working age individuals with and without disabilities in Sweden during the...     

Temporal Patterns of Accuracy Confidence in Social Judgments: A New Method and Initial Results

An integrated, computer-based system was developed to record participants’ continuous judgment changes on a revised form of the Interpersonal Perception Task (IPT-15). Consistent with the considerable research on “thin slice” judgments, the mean latency for greater than chance accuracy confidence was just 16 s (median = 10 s) for the ten one-part scenes on the IPT. There was also a clear and strong linear trend for increasing accuracy confidence across the first 25 s of the ten one-part scenes. For the five-two-part scenes, where comparative judgments were required (e.g., which statement is truthful, which is a lie?), no clear pattern of increasing accuracy confidence was found, with mean scores hovering near chance. The utility of the new system for analyzing the time course of social judgments is discussed and the potential reasons for the contrasting results for the one-part and two-part scenes were examined.     

Social externalities,overlap and the poverty trap

Previous studies find that some social groups are stuck in poverty traps because of network effects. However, these studies do not carefully analyze how these groups overcome low human capital investment activities. Unlike previous studies, the model in this paper includes network externalities in both the human capital investment stage and the subsequent career stages. This implies that not only the current network quality, but also the expectations about future network quality affect the current investment decision. Consequently, the coordinated expectation among the group members can play a crucial role in the determination of the final state. We define “overlap” for some initial skill ranges, whereby the economic performance of a group can be improved simply by increasing expectations of a brighter future. We also define “poverty trap” for some ranges, wherein a disadvantaged group is constrained by its history, and we explore the egalitarian policies to mobilize the group out of the trap.     

The Relationship Between Nonsuicidal Self‐Injury and Family Functioning: Adolescent and Parent Perspectives

We explored parent and adolescent reports of family functioning, how this differed if the parent was aware that their child self‐injured, and how parental awareness of self‐injury was related to self‐injury frequency, self‐injury severity, and help seeking. Participants were 117 parent–adolescent dyads, in 23 of which the adolescent self‐injured. Adolescents who self‐injured reported poorer family functioning than their parents, but parents who did not know about their child's self‐injury reported similar functioning to parents whose children did not self‐injure. Parents were more likely to know that their child self‐injured when the behavior was severe and frequent. Help‐seeking was more likely when parents knew about self‐injury. Family‐based interventions which emphasize perspective‐taking could be used to effectively treat self‐injury.     

The Weight Function Lemma for graph pebbling

Graph pebbling is a network model for studying whether or not a given supply of discrete pebbles can satisfy a given demand via pebbling moves. A pebbling move across an edge of a graph takes two pebbles from one endpoint and places one pebble at the other endpoint; the other pebble is lost in transit as a toll. It has been shown that deciding whether a supply can meet a demand on a graph is NP-complete. The pebbling number of a graph is the smallest t such that every supply of t pebbles can satisfy every demand of one pebble byt a vertex. Deciding if the pebbling number is at most k is \(\Pi _2^\mathsf{P}\)-complete. In this paper we develop a tool, called the Weight Function Lemma, for computing upper bounds and sometimes exact values for pebbling numbers with the assistance of linear optimization. With this tool we are able to calculate the pebbling numbers of much larger graphs than in previous algorithms, and much more quickly as well. We also obtain results for many families of graphs, in many cases by hand, with much simpler and remarkably shorter proofs than given in previously existing arguments (certificates typically of size at most the number of vertices times the maximum degree), especially for highly symmetric graphs. Here we apply the Weight Function Lemma to several specific graphs, including the Petersen, Lemke, \(4\mathrm{th}\) weak Bruhat, and Lemke squared, as well as to a number of infinite families of graphs, such as trees, cycles, graph powers of cycles, cubes, and some generalized Petersen and Coxeter graphs. In doing so we partly answer a question of Pachter, et al., by computing the pebbling exponent of cycles to within an asymptotically small range. It is conceivable that this method yields an approximation algorithm for graph pebbling.     

GROUP INEQUALITY

We explore the combined effect of segregation in social networks, peer effects, and the relative size of a historically disadvantaged group on the incentives to invest in market‐rewarded skills and the dynamics of inequality between social groups. We identify conditions under which group inequality will persist in the absence of differences in ability, credit constraints, or labor market discrimination. Under these conditions, group inequality may be amplified even if initial group differences are negligible. Increases in social integration may destabilize an unequal state and make group equality possible, but the distributional and human capital effects of this depend on the demographic composition of the population. When the size of the initially disadvantaged group is sufficiently small, integration can lower the long‐run costs of human capital investment in both groups and result in an increase the aggregate skill share. In contrast, when the initially disadvantaged group is large, integration can induce a fall in the aggregate skill share as the costs of human capital investment rise in both groups. We consider applications to concrete cases and policy implications.     

Generic Assessment Endpoints Are Needed for Ecological Risk Assessment

This article presents arguments for the development of generic assessment endpoints for ecological risk assessment. Generic assessment endpoints would be ecological entities and attributes that are assumed to be worthy of protection in most contexts. The existence of generic assessment endpoints would neither create a requirement that they be used in every assessment nor preclude the use of other assessment endpoints. They would simply be a starting point in the process of identifying the assessment endpoints for a particular assessment. They are needed to meet legal mandates, to provide a floor for environmental degradation, to provide some consistency in environmental regulation, as exemplars for site- or project-specific assessment endpoints, to allow development of methods and models, to give risk managers the courage to act, for screening and site-independent assessments, to support environmental monitoring, to facilitate communication, and to avoid paralysis by analysis. Generic assessment endpoints should include not only a list of entities and attributes, but also explanations of each endpoint, guidance on their use and interpretation, and measures and models that could be used to estimate them.     

Proportional hazards regression with interval censored data using an inverse probability weight

The prevalence of interval censored data is increasing in medical studies due to the growing use of biomarkers to define a disease progression endpoint. Interval censoring results from periodic monitoring of the progression status. For example, disease progression is established in the interval between the clinic visit where progression is recorded and the prior clinic visit where there was no evidence of disease progression. A methodology is proposed for estimation and inference on the regression coefficients in the Cox proportional hazards model with interval censored data. The methodology is based on estimating equations and uses an inverse probability weight to select event time pairs where the ordering is unambiguous. Simulations are performed to examine the finite sample properties of the estimate and a colon cancer data set is used to demonstrate its performance relative to the conventional partial likelihood estimate that ignores the interval censoring.     

Integrative Family Therapy With Childhood Chronic Illness: An Ethics of Practice

A challenge for contemporary family therapists is negotiating differences between modern and postmodern frameworks in the practice context. Modernists espouse a systemic metaphor; use evidence‐based and interventive approaches, including strategic, structural‐ or solution‐focused techniques, and believe in the therapist's knowledge, expertise and power to influence individuals or families to change. On the other hand, postmodernists follow a social constructionist, dialogical or narrative paradigm, which identifies the main ingredient of therapy as language, conversation, understanding and the therapist's ‘not knowing’ stance in eliciting a person's expertise and story Yet many practitioners adopt a middle way between these paradigm polarities, one that is less theory‐driven and more pragmatic, flexible, integrative and practice‐based. This is consistent with evidence‐based practice and research demonstrating common factors across all therapies. The value of preserving systemic thinking in family therapy is recognised while reaching forward to a postmodern social constructionist and dialogical approach. The article describes this integrative stance in family therapy as paramodern based on an ethics of practice. This is illustrated by a detailed case study of integrative family therapy, which addresses anxiety, anger and sleeping issues associated with a chronic childhood illness called Perthe's disease.     

The residential segregation of occupational groups in central cities and suburbs

The impression of journalists and social critics in the 1950’s that post-war suburbia was uniformly middle-class has been generally rejected by social scientists, but there is a persisting belief in a high degree of residential segregation by social level in suburbia and in a high degree of socio-economic homogeneity within suburban neighborhoods. A comparison of eight central cities with their suburban zones in 1950 and in 1960 revealed, for both dates, (a) small differences in occupational distributions between the central cities and the suburban zones and (b) generally higher Index of Residential Dissimilarity values for pairs of occupational groups in the central cities. These findings indicate that suburban neighborhoods, at least in the eight suburban zones studied, were little, if any, more occupationally homogeneous than the central city neighborhoods. This suggests that the belief in homogeneous suburban neighborhoods should be added to the growing list of discredited “myths of suburbia. ”