Housing hardship and energy insecurity among native-born and immigrant low-income families with children in the United States

The costs for rent and utilities account for the largest share of living expenses, yet these two critical dimensions of material hardship have seldom been examined concurrently in population-based studies. This paper employs multivariate statistical analysis using American Community Survey data to demonstrate the relative risk ratio of low-income renter-occupied households with children experiencing ‘rent burden', ‘energy insecurity', or a ‘double burden’ as opposed to no burden. Findings suggest that low-income households are more likely to experience these economic hardships in general but that specific groups are disproportionately burdened in different ways. For instance, whereas immigrants are more likely to experience rental burden, they are less likely to experience energy insecurity and are also spared from the double burden. In contrast, native-born African Americans are more likely than all other groups to experience the double burden. These results may be driven by the housing stock available to certain groups due to racial residential segregation, decisions regarding the quality of housing low-income householders are able to afford, as well as home-country values, such as modest living and energy conservation practices, among immigrant families. This paper also points to important policy gaps in safety net benefits related to housing and energy targeting low-income households.     

Assessing additivity in nonparametric models —A kernel‐based method

In this article, we address the testing problem for additivity in nonparametric regression models. We develop a kernel‐based consistent test of a hypothesis of additivity in nonparametric regression, and establish its asymptotic distribution under a sequence of local alternatives. Compared to other existing kernel‐based tests, the proposed test is shown to effectively ameliorate the influence from estimation bias of the additive component of the nonparametric regression, and hence increase its efficiency. Most importantly, it avoids the tuning difficulties by using estimation‐based optimal criteria, while there is no direct tuning strategy for other existing kernel‐based testing methods. We discuss the usage of the new test and give numerical examples to demonstrate the practical performance of the test. The Canadian Journal of Statistics 39: 632–655; 2011. © 2011 Statistical Society of Canada     

Unmet Needs for Assistance with ADLs and IADLs: A Measure of Healthy Life Expectancy

Measures of healthy life expectancy have beendeveloped over the last thirty years to evaluate thequality of life of an increasing life expectancy.These measures are usually accounting for prevalencerates of either disability or physical dependence inperforming everyday activities. Although they allowfor a better assessment of quality of life, they arenot reflecting the fact that a disabled person mightbe receiving adequate or inadequate assistance forthese activities. In a context of population aging,where our health care system will have to deal moreand more with chronic disease instead of acutedisease, it is imperative to develop a measure thatwill account for the adequacy of the assistanceprovided to the disabled elderly population. Usingdata from the 1986 Health and Activity LimitationSurvey, we are introducing a measure of healthy lifeexpectancy which will fill this gap. We present theconstruction of this measure of population health anddiscuss its usefulness in assessing policies at amacro level.     

A qualitative information system for data management

This article traces the path which led to the adaptation of the Information System approach to data management and the use of a Relational Data Base Management System in the Vitrine 2001 project, a research project looking at children's learning activities with computers using qualitative research techniques. The principles which guided the selection and design of the data base, consideration of its advantages, as well as guidelines to help others who may wish to use a similar instrument are also presented.     

Multiple-objective response-adaptive repeated measurement designs for clinical trials

In a response-adaptive design, we review and update the trial on the basis of outcomes in order to achieve a specific goal. Response-adaptive designs for clinical trials are usually constructed to achieve a single objective. In this paper, we develop a new adaptive allocation rule to improve current strategies for building response-adaptive designs to construct multiple-objective repeated measurement designs. This new rule is designed to increase estimation precision and treatment benefit by assigning more patients to a better treatment sequence. We demonstrate that designs constructed under the new proposed allocation rule can be nearly as efficient as fixed optimal designs in terms of the mean squared error, while leading to improved patient care.     

How to support families of children with disabilities? An exploratory study of social support services

Support services to families of children with disabilities have previously been documented. While the effectiveness and consequences of some support strategies have been defined, their comparison remains problematic primarily because of the diversified existing definitions. The present study aimed to elaborate and validate a typology to describe different types of support that can be offered to families of children with disabilities. A review of literature highlighted a variety of support services and allowed a categorical grouping. Content analysis ensured that each category was defined distinctively. Afterwards, a panel of experts and representatives of organizations from seven developed countries (Australia, Belgium, Canada, Denmark, France, Sweden and Switzerland) validated the typology. A database of services offered in these countries was created. The resulting typology was divided into four categories related to the family needs: support, respite, child minding and emergency support. Each type of support can be illustrated within organizations in the database. As such, social workers can use the defined typology to identify the needs of families of children with disabilities and suggest alternatives when services are not available. Overall, the described typology should facilitate discussion between stakeholders and families by providing a common communication system.     

Reliability and validity of the Vulnerability Index-Service Prioritization Decision Assistance Tool (VI-SPDAT) in real-world implementation

This study examined the reliability and validity of the Vulnerability Index-Service Prioritization Decision Assistance Tool (VI-SPDAT), a widely-used assessment of the health and social vulnerabilities and housing needs of individuals experiencing homelessness. Homeless Management Information System data were obtained for 1495 individuals who were administered the VI-SPDAT between 2014 and 2016. Subsamples were selected for reliability and validity assessments. Results suggest there are challenges to the reliability and validity of the VI-SPDAT in practical use. VI-SPDAT total scores did not significantly predict risk of return to homeless services, while type of housing was a significant predictor. Vulnerability assessment instruments have important implications for communities working to end homelessness by facilitating prioritization of scarce housing resources. Findings suggest that further testing and development of the VI-SPDAT is necessary.     

General mixed‐data model: Extension of general location and grouped continuous models

The authors propose a general model for the joint distribution of nominal, ordinal and continuous variables. Their work is motivated by the treatment of various types of data. They show how to construct parameter estimates for their model, based on the maximization of the full likelihood. They provide algorithms to implement it, and present an alternative estimation method based on the pairwise likelihood approach. They also touch upon the issue of statistical inference. They illustrate their methodology using data from a foreign language achievement study.