Progressive multi-state models for informatively incomplete longitudinal data

Progressive multi-state models provide a convenient framework for characterizing chronic disease processes where the states represent the degree of damage resulting from the disease. Incomplete data often arise in studies of such processes, and standard methods of analysis can lead to biased parameter estimates when observation of data is response-dependent. This paper describes a joint analysis useful for fitting progressive multi-state models to data arising in longitudinal studies in such settings. Likelihood based methods are described and parameters are shown to be identifiable. An EM algorithm is described for parameter estimation, and variance estimation is carried out using the Louis’ method. Simulation studies demonstrate that the proposed method works well in practice under a variety of settings. An application to data from a smoking prevention study illustrates the utility of the method.     

Quality of Community Life Among Rural Residents: An Integrated Model

The purpose of this research was to explore the relationships among housing satisfaction, community attachment and community satisfaction and the complex mechanisms involved in predicting community satisfaction among residents in rural communities. The role of housing satisfaction and community attachment in predicting community satisfaction was of particular interest. A structural equation model of community satisfaction was tested with mail survey data drawn from a randomly selected rural sample of 974 households. The results of this study confirmed the influences and mediating role of community attachment and housing satisfaction in predicting community satisfaction. “Spillover” effects from “lower levels of life concerns” (e.g., satisfaction with local services, assessment of current housing conditions) in perceived community satisfaction were found that support previous research (Sirgy and Cornwell in Social Indicators Research 59:79–114, 2002).     

New approaches to model-free dimension reduction for bivariate regression

Dimension reduction with bivariate responses, especially a mix of a continuous and categorical responses, can be of special interest. One immediate application is to regressions with censoring. In this paper, we propose two novel methods to reduce the dimension of the covariates of a bivariate regression via a model-free approach. Both methods enjoy a simple asymptotic chi-squared distribution for testing the dimension of the regression, and also allow us to test the contributions of the covariates easily without pre-specifying a parametric model. The new methods outperform the current one both in simulations and in analysis of a real data. The well-known PBC data are used to illustrate the application of our method to censored regression.     

The Transformative Power of Youth Grants: Sparks and Ripples of Change Affecting Marginalised Youth and their Communities

This study, based on research into a youth empowerment initiative in Canada, examines the transformational power of youth grants for marginalised youth and their communities. The positive changes on individual youth included increased confidence and skills, as well as strengthened social interactions between youth, and involved adults and organisations. To leverage grant impact, we identify the critical role of creating accountability at multiple levels, promoting sharing among grantees, and fostering allies and system thinkers. The evaluation points to the potential of grants for changing community's perception that youth are incapable of fostering community youth development.     

Evidence of a Housing Decision Chain in Rural Community Vitality*

Abstract The purpose of this research was to explore and explain the role housing plays in rural community vitality. Community vitality refers to economic strength and social well‐being. In spring 2002 we collected primary interview data from informants in 134 small rural communities in nine north‐central states and identified related secondary data from the U.S. census. We developed a structural‐equation‐path model, which supported a “housing decision chain” that influenced community vitality. Based on this research, local housing decisions do play an important role in community vitality. Strong local leaders use housing planning to secure funding to produce a change in the quantity of housing, which in turn positively influences community vitality. Housing inventory also mediated the effects of total population and percentage population change on community vitality, indicating that housing supply is a fundamental ingredient in community growth strategies. These findings support the conclusion that a combination of housing plans and strategies orchestrated by skilled, committed leadership strengthens rural communities. Heretofore the ling between housing and community vitality has not been investigated; evidence‐based data has been missing from the debate on viable rural community‐development strategies.     

Spatial modelling of the two‐party preferred vote in Australian federal elections: 2001–2016

We examine the relationships between electoral socio‐demographic characteristics and two‐party preferences in the six Australian federal elections held between 2001 and 2016. Socio‐demographic information is derived from the Australian Census which occurs every 5 years. Since a census is not directly available for each election, an imputation method is employed to estimate census data for the electorates at the time of each election. This accounts for both spatial and temporal changes in electoral characteristics between censuses. To capture any spatial heterogeneity, a spatial error model is estimated for each election, which incorporates a spatially structured random effect vector. Over time, the impact of most socio‐demographic characteristics that affect electoral two‐party preference do not vary, with age distribution, industry of work, incomes, household mobility and relationships having strong effects in each of the six elections. Education and unemployment are among those that have varying effects. All data featured in this study have been contributed to the eechidna R package (available on CRAN).     

Stakeholder Communication in 140 Characters or Less: A Study of Community Sport Foundations

Community sport foundations (CSFs), like other non-profit organizations, are increasingly employing social media such as Twitter to communicate their mission and activities to their diverse stakeholder groups. However, the way these CSFs utilize social media for communicating such practices remains unclear. Through a mixed-method approach of content analysis of tweets from 22 CSFs established by English professional football clubs and interviews with key individuals within these CSFs (n = 7), this study examines the extent to which CSFs’ core activities are being communicated through Twitter and identifies the strategies employed for doing so. Reflecting the target audiences CSFs are seeking to reach through Twitter and the challenges associated with communication about projects involving marginalized groups, tweets largely concern programs related to sports participation and education. The most frequently employed communication strategy is to inform, rather than interact or engage with stakeholders. However, CSFs with higher organizational capacity attempt to go beyond mere informing towards engaging with stakeholder groups that relate to their social agenda, highlighting the importance of trained and dedicated social media personnel in optimizing CSFs’ use of Twitter for communication.     

Meeting Family Housing Needs: Experiences of Rural Women in the Midst of Welfare Reform

Though sometimes overlooked, the availability, affordability, and quality of housing in rural communities are a potential barrier to transitioning from welfare to work. In this investigation we examine housing issues confronting 17 rural women and their families who were recipients of welfare benefits in 1997. Respondents' housing accounts illustrate the significance of reliance on both government housing subsidies and informal subsidies supplied by friends, family, and more distant relatives. The study focuses on concerns women have in meeting their families shelter needs and the complexities involved in doing so. The findings of the research suggest that additional housing policy initiatives, as well as a targeted research agenda are needed, especially for families whose welfare benefits are nearing termination.