Future Directions in the Study of Close Relationships: Conflict Is Bad (Except When It's Not)

Beneficial and detrimental correlates of interpersonal disagreement have been postulated and documented. The conclusion: conflict is both bad and good. The evidence for these paradoxical effects is summarized. In this article, we argue that the consequences of conflict for individuals depend on its frequency, the way in which it is managed, and the quality of the relationship in which it arises. Non‐linear patterns of association are hypothesized such that constructive conflicts, particularly those arising in supportive relationships, should (up to a limit) predict more beneficial and fewer detrimental outcomes. In contrast, coercive conflicts, particularly those arising in unsupportive relationships, should predict more adverse and fewer favorable outcomes.     

Effective casework practice with adolescents: perspectives of statutory child protection practitioners

Many child protection practitioners struggle with the complexity of problems and the limited casework time for adolescent cases. However, there is little research on child protection practice or case management that can guide a practitioner working with adolescents in the child protection system. The aim of this study was to explore and describe the nature of effective child protection practice with adolescents from the perspective of statutory child protection practitioners in one state in Australia. Data were collected through focus group discussions and interviews with child protection practitioners and managers currently working with adolescents (n= 44). A grounded theory approach was used to identify the dominant themes or categories and form linkages and relationships through constant comparison techniques. Seven key categories emerged from this analysis: characteristics of the young person and their family; ‘walking it together’– the centrality of relationships; ‘looking back/looking forward’– practice strategies; practitioner attributes and skills; ‘walking a fine line’– working with the families of adolescents; ‘walking with services’– effective inter‐agency work; and organizational context in effective child protection practice with adolescents. Key implications for practice and areas for further research were discussed.     

Financial self‐sufficiency or return to welfare? A longitudinal study of mothers among the working poor

Cheng T. Financial self‐sufficiency or return to welfare? A longitudinal study of mothers among the working poor Int J Soc Welfare 2010: 19: 162–172 © 2010 The Author(s), Journal compilation © 2010 Blackwell Publishing Ltd and International Journal of Social Welfare. This study investigated how working‐poor mothers who withdrew from a US government assistance program were affected by the economy, welfare reform policies, and their own human capital, in terms of their likelihood of returning to welfare and their likelihood of becoming nonpoor through work. The study employed longitudinal data (covering 42 months) extracted from a national data set. The sample for the current study, which relied on event history analysis, consisted of 228 working‐poor former welfare mothers. Results showed that the women's return to welfare was correlated to high unemployment, restrictive welfare policies, enrollment in Medicaid and food‐stamp programs, possession of service‐job skills, and being Hispanic. The women were most likely to attain relative financial independence in the presence of generous government assistance program policies, housing assistance, full‐time employment, operative‐job skills, college education, and marriage. African American ethnicity also made achievement of financial independence more likely.     

Do public pensions matter for health and wellbeing among retired persons? Basic and income security pensions across 13 Western European countries

Esser I, Palme J. Do public pensions matter for health and wellbeing among retired persons? Basic and income security pensions across 13 Western European countries Int J Soc Welfare 2010: ??: ??–??© 2010 The Author(s), Journal compilation © 2010 Blackwell Publishing Ltd and International Journal of Social Welfare. Mortality rates suggest that elderly people in the advanced welfare democracies have experienced dramatically improved health over the past decades. This study examined the importance of public pensions for self‐reported health and wellbeing among retired persons in 13 Organisation for Economic Cooperation and Development countries in 2002–2005. New public pension data make it possible to distinguish between two qualities of pension systems: ‘basic security’ for those who have no or a short work history, and ‘income security’ for those with a more extensive contribution record. For enhanced cross‐national comparison, relative measures of ill‐health and wellbeing were constructed to account for cultural bias in responses to survey questions and heterogeneity among countries in the general level of population health. Overall, better health is found in countries with more generous pensions, although the results are gendered; for women's health, high basic security of the pension system appears to be particularly important. Women's wellbeing also tends to be more dependent on the quality of basic security.     

On the comparison of the Fisher information of the log-normal and generalized Rayleigh distributions

Surles and Padgett recently considered two-parameter Burr Type X distribution by introducing a scale parameter and called it the generalized Rayleigh distribution. It is observed that the generalized Rayleigh and log-normal distributions have many common properties and both distributions can be used quite effectively to analyze skewed data set. In this paper, we mainly compare the Fisher information matrices of the two distributions for complete and censored observations. Although, both distributions may provide similar data fit and are quite similar in nature in many aspects, the corresponding Fisher information matrices can be quite different. We compute the total information measures of the two distributions for different parameter ranges and also compare the loss of information due to censoring. Real data analysis has been performed for illustrative purposes.     

Some tests for uniformity of circular distributions powerful against multimodal alternatives

The author introduces new statistics suited for testing uniformity of circular distributions and powerful against multimodal alternatives. One of them has a simple expression in terms of the geometric mean of the sample of chord lengths. The others belong to a family indexed by a continuous parameter. The asymptotic distributions under the null hypothesis are derived. We compare the power of the new tests against Stephens's alternatives with those of Ajne, Watson, and Hermans‐Rasson's tests. Some of the new tests are the most powerful when the alternative has three or four modes. A heuristic justification of this feature is given. An application to the analysis of archaeological data is provided. The Canadian Journal of Statistics 38:80–96; 2010 © 2010 Statistical Society of Canada     

Optimal Composite Markers for Time‐Dependent Receiver Operating Characteristic Curves with Censored Survival Data

Abstract. To increase the predictive abilities of several plasma biomarkers on the coronary artery disease (CAD)‐related vital statuses over time, our research interest mainly focuses on seeking combinations of these biomarkers with the highest time‐dependent receiver operating characteristic curves. An extended generalized linear model (EGLM) with time‐varying coefficients and an unknown bivariate link function is used to characterize the conditional distribution of time to CAD‐related death. Based on censored survival data, two non‐parametric procedures are proposed to estimate the optimal composite markers, linear predictors in the EGLM model. Estimation methods for the classification accuracies of the optimal composite markers are also proposed. In the article we establish theoretical results of the estimators and examine the corresponding finite‐sample properties through a series of simulations with different sample sizes, censoring rates and censoring mechanisms. Our optimization procedures and estimators are further shown to be useful through an application to a prospective cohort study of patients undergoing angiography.     

A Non‐Parametric Estimator of the Spectral Density of a Continuous‐Time Gaussian Process Observed at Random Times

Abstract. In numerous applications data are observed at random times and an estimated graph of the spectral density may be relevant for characterizing and explaining phenomena. By using a wavelet analysis, one derives a non‐parametric estimator of the spectral density of a Gaussian process with stationary increments (or a stationary Gaussian process) from the observation of one path at random discrete times. For every positive frequency, this estimator is proved to satisfy a central limit theorem with a convergence rate depending on the roughness of the process and the moment of random durations between successive observations. In the case of stationary Gaussian processes, one can compare this estimator with estimators based on the empirical periodogram. Both estimators reach the same optimal rate of convergence, but the estimator based on wavelet analysis converges for a different class of random times. Simulation examples and an application to biological data are also provided.     

Testing for order among K populations: theory and examples

Testing for stochastic order among K populations is a common and important problem in statistical practice. It arises in the analysis of both planned experiments and observational studies. The authors develop a new nonparametric test for order among K populations that can accommodate any stochastic ordering. The test is based on a maximally selected chi‐bar‐square statistic. The authors find its limiting distribution and use simulations to derive critical values. Three important examples are used to illustrate the applicability of the general method. The authors find that the new tests outperform the existing methods in many practical cases. The Canadian Journal of Statistics 38: 97–115; 2010 © 2009 Statistical Society of Canada     

On the Validity of the Bootstrap in Non‐Parametric Functional Regression

Abstract. We consider the functional non‐parametric regression model Y= r( χ )+?, where the response Y is univariate, χ is a functional covariate (i.e. valued in some infinite‐dimensional space), and the error ? satisfies E(? | χ ) = 0. For this model, the pointwise asymptotic normality of a kernel estimator of r (·) has been proved in the literature. To use this result for building pointwise confidence intervals for r (·), the asymptotic variance and bias of need to be estimated. However, the functional covariate setting makes this task very hard. To circumvent the estimation of these quantities, we propose to use a bootstrap procedure to approximate the distribution of . Both a naive and a wild bootstrap procedure are studied, and their asymptotic validity is proved. The obtained consistency results are discussed from a practical point of view via a simulation study. Finally, the wild bootstrap procedure is applied to a food industry quality problem to compute pointwise confidence intervals.