Empowering Homeless Youth: Building Capacity through the Development of Mobile Technology

Information-communication technologies, like computers and cell phones, are popular among young people. This article details a youth-centered participatory action study in which 12 homeless youth designed and developed a mobile application for other homeless youth. We frame our analysis through a theory of critical youth empowerment and discuss the steps taken to develop the application, as informed by the method of spiral technology action research. Developing the application allowed these young people to express their opinions and frustrations, while also providing an opportunity for them to make the lives of their peers better through improved access to supports and services.     

Bayesian analysis of threshold autoregressions

A nonasymptotic Bayesian approach is developed for analysis of data from threshold autoregressive processes with two regimes. Using the conditional likelihood function, the marginal posterior distribution for each of the parameters is derived along with posterior means and variances. A test for linear functions of the autoregressive coefficients is presented. The approach presented uses a posterior p-value averaged over the values of the threshold. The one-step ahead predictive distribution is derived along with the predictive mean and variance. In addition, equivalent results are derived conditional upon a value of the threshold. A numerical example is presented to illustrate the approach.     

Canonical correlation analysis of residential and vocational outcomes following psychiatric rehabilitation

This analysis uses canonical correlation techniques to explore client outcomes following psychosocial rehabilitation services in two rehabilitation areas: vocational and residential. At issue are the ways in which these two outcomes are affected by a series of eight client characteristics and service delivery features. The overarching question is the effectiveness of the program in establishing independence vocationally and residentially, and whether the same set of factors influences these two outcomes for persons with mental illness. Subjects were 212 ex-clients of a psychosocial rehabilitation agency who were working six months after leaving the program. The analysis derived two canonical functions both of which were significant. Canonical loadings and cross loadings indicated that client level of functioning and program tenure loaded most strongly with residential status on the first canonical variate while education loaded most strongly with salary on the second. These results support the notions that different predictors account for the variance associated with different outcomes following psychosocial rehabilitation. Discussion of the relevance of strong predictor variables highlights ways they can impact program design. Finally, the usefulness of canonical correlation in longitudinal program evaluation research is explored.     

International Business Cycle Asymmetry and Time Irreversible Nonlinearities

Using tests of time reversibility, this paper provides further statistical evidence on the long-standing conjecture in economics concerning the potentially asymmetric behaviour of output over the expansionary and contractionary phases of the business cycle. A particular advantage of this approach is that it provides a discriminating test that is instructive as to whether any asymmetries detected are due to asymmetric shocks to a linear model, or an underlying non-linear model with symmetric shocks, and in the latter case is informative as to the potential form of that nonlinear model. Using a long span of international per capita output growth data, the asymmetry detected is overwhelmingly consistent with the long standing perception that the output business cycle is characterized by steeper recessions and longer more gentle expansions, but the evidence for this form of business cycle asymmetry is weaker in the data adjusted for the influence of outliers associated with wars and other extreme events. Statistically significant time irreversibility is reported for the output growth rates of almost all of the countries considered in the full sample data, and there is evidence that this time irreversibility is of a form implying an underlying nonlinear model with symmetrically distributed innovations for 15 of the 22 countries considered. However, the time irreversibility test results for the outlier-trimmed full sample data reveal significant time irreversibility in output growth for around one half of the countries considered, predominantly in Northern Europe and North America, and of a form implying a nonlinear underlying model in only a further half of those cases.     

A SYSTEMIC TREATMENT APPROACH TO WIFE BATTERING

This article places the problem of wife battering or domestic abuse in a systemic framework. Literature that bears most directly on a systemic understanding and treatment of wife battering is reviewed. A comprehensive approach to treatment as it might be utilized by marriage and family therapists is outlined and a case example is presented.     

Adaptation to Retirement: Role Changes and Psychological Resources

In this review, the influence of social and work roles are incorporated into a model of retirement adjustment, along with two psychological moderators that may aid the retirement transition. These psychological resources, locus of control and retirement self-efficacy, are those behavioral predispositions that would lead one to engage in proactive strategies for mastering the role changes inherent in the retirement transition. The implications of social and work-related role changes and psychological resources for retirement planning and adjustment are discussed.     

Conditional inference for subject-specific and marginal agreement: Two families of agreement measures

A two-stage procedure is described for assessing subject-specific and marginal agreement for data from a test-retest reliability study of a binary classification procedure. Subject-specific agreement is parametrized through the log odds ratio, while marginal agreement is reflected by the log ratio of the off-diagonal Poisson means. A family of agreement measures in the interval [-1, 1] is presented for both types of agreement. The conditioning argument described facilitates exact inference. The proposed methodology is demonstrated by way of an example involving hypothetical data chosen for illustrative purposes, and data from a National Health Survey Study (Rogot and Goldberg 1966).     

Using and interpreting analogue designs

Researchers in rehabilitation counseling and disability studies sometimes use analogue research, which involves materials that approximate or describe reality (e.g., written vignettes, videotaped exemplars) rather than investigating phenomena in real-world settings. Analogue research often utilizes experimental designs, and it thereby frequently possesses a high degree of internal validity. Analogue research allows investigators to exercise tight control over the implementation of the independent or treatment variable and over potentially confounding variables, which enables them to isolate the effects of those treatment variables on selected outcome measures. However, the simulated nature of analogue research presents an important threat to external validity. As such, the generalizability of analogue research to real-life settings and situations may be problematic. These and other issues germane to analogue research in vocational rehabilitation are discussed in this article, illustrated with examples from the contemporary literature.     

Spatial Cluster Detection for Longitudinal Outcomes Using Administrative Regions

This article proposes a new spatial cluster detection method for longitudinal outcomes that detects neighborhoods and regions with elevated rates of disease while controlling for individual level confounders. The proposed method, CumResPerm, utilizes cumulative geographic residuals through a permutation test to detect potential clusters which are defined as sets of administrative regions, such as a town or group of administrative regions. Previous cluster detection methods are not able to incorporate individual level data including covariate adjustment, while still being able to define potential clusters using informative neighborhood or town boundaries. Often, it is of interest to detect such spatial clusters because individuals residing in a town may have similar environmental exposures or socioeconomic backgrounds due to administrative reasons, such as zoning laws. Therefore, these boundaries can be very informative and more relevant than arbitrary clusters such as the standard circle or square. Application of the CumResPerm method will be illustrated by the Home Allergens and Asthma prospective cohort study analyzing the relationship between area or neighborhood residence and repeated measured outcome, occurrence of wheeze in the last six months, while taking into account mobile locations.