Small area estimation under a multivariate linear model for repeated measures data

In this article, small area estimation under a multivariate linear model for repeated measures data is considered. The proposed model aims to get a model which borrows strength both across small areas and over time. The model accounts for repeated surveys, grouped response units, and random effects variations. Estimation of model parameters is discussed within a likelihood based approach. Prediction of random effects, small area means across time points, and per group units are derived. A parametric bootstrap method is proposed for estimating the mean squared error of the predicted small area means. Results are supported by a simulation study.     

Following the River’s Flow: A Conversation about Single Session Approaches with Aboriginal Families

Alison Elliott and James Dokona were interviewed by Henry von Doussa, and this article is the written version of that interview. In it, Alison and James separately refer to issues such as early skepticism about the applicability of a single session therapy approach with Indigenous families (Alison), a growing experience of its ‘fit,' philosophically and culturally, and the hope that can be engendered in one conversation. They underline the importance of the oral tradition, and other cultural concepts such as Dadirri (deep listening) as well as the trauma-informed principles of choice, collaboration, and empowerment, through using their language, asking permission, working together on solutions, and not coming across as an expert. The article is infused with the practical ideas and the values inherent in the authors’ work, including permission-seeking, reflection, containment, and their use of a whiteboard as a resource to capture multiple perspectives, a genogram (including pets), and to facilitate yarning. The flow of this conversation in itself reflects James’ imagery of the therapeutic conversation being like a river running – you don’t know which way it’s going to go.     

Body Image Development and Sexual Satisfaction: A Prospective Study From Adolescence to Adulthood

The aim of the current study was to explore whether developmental trajectories of body satisfaction from adolescence to young adulthood predicted measures of sexual satisfaction in young adulthood, even when controlling for important covariates such as gender, weight development, relationship status, mental health, and frequency of sexual intercourse and masturbation. Data were collected from a population-based prospective cohort of Norwegian adolescents (n = 2,587) over a period of 13 years in four waves (1992, 1994, 1999, and 2005; mean age = 14.9 in 1992, 57.3% women). Latent growth curves were estimated for body satisfaction and body mass index (BMI). Men reported higher sexual satisfaction, sexual activity, baseline body satisfaction, and BMI than women. The developmental trajectories revealed a slight increase in body satisfaction and BMI from adolescence to young adulthood in both genders. Moreover, structural equation models showed that baseline body satisfaction in both genders predicted sexual satisfaction as a young adult, independent of relationship status and frequency of sexual activity. Neither the development of BMI nor of body satisfaction predicted sexual satisfaction. The results elucidate the vital role of body satisfaction in sexual satisfaction in adults and the importance of addressing body dissatisfaction in childhood.     

Patterns of governance structures in trade associations and unions

Most research on the governance of nonprofit organizations concentrates on welfare‐oriented organizations and disregards other types of nonprofits. This article examines the governance structures of trade associations and unions as a special type of nonprofit organization. Analysis is based on a qualitative case study survey of thirty Swiss trade associations. The results distinguish four categories of governance: satellite governance, delegate governance, executive governance, and inner‐circle governance.     

Is poverty multidimensional? A comparison of income and asset based measures in five Southern African countries.

This paper contests the major emphasis placed on the multidimensional nature of poverty measurement. Instead, it argues that poverty pictures created by different measures and at different units of analysis tend to converge. This argument is derived from a comparison of poverty pictures created using income and asset-based measures at the national and household level in five South African Development Community countries. Although multidimensional measures have value in illuminating subtle differences, the findings indicate a single dimension of poverty that runs throughout all the measures and levels of analysis. However, despite the single poverty picture provided by different measures, the abandonment of these different measures is not supported. Multidimensional measures provide insight into particular elements of poverty that is useful and relevant to poverty interventions.     

Small area estimation using reduced rank regression models

Abstract

Small area estimation techniques have got a lot of attention during the last decades due to their important applications in survey studies. Mixed linear models and reduced rank regression analysis are jointly used when considering small area estimation. Estimates of parameters are presented as well as prediction of random effects and unobserved area measurements.     

Cognitive Components of Risk Ratings

This study examined what lay people mean when they judge the "risk" of activities that involve the potential for accidental fatalities (e.g., hang gliding, living near a nuclear reactor). A sample of German and American students rated the "overall risk" of 14 such activities and provided 3 fatality estimates: the number of fatalities in an "average year," the individual yearly fatality probability (or odds), and the number of fatalities in a "disastrous accident." Subjects' fatality estimates were reasonably accurate and only moderately influenced by attitudes towards nuclear energy. Individual fatality probability correlated most highly with intuitive risk ratings. Disaster estimates correlated positively with risk ratings for those activities that had a low fatality probability and a relatively high disaster potential. Annual average fatality rates did not correlate with risk ratings at all. These findings were interpreted in terms of a two-dimensional cognitive structure. Subjective notions of risk were determined primarily by the personal chance of death; for some activities, "disaster potential" played a secondary role in shaping risk perception.