Can digital skills raise occupational prestige among ethnic minorities?

Using data from a large-scale Annual Social Survey of Israel’s Central Bureau of Statistics, we investigate the correlation between digital skills and occupational prestige among veteran Jews and two minority groups, namely Arabs and immigrants to Israel from the Former Soviet Union (FSU). Our findings show that both minority groups have significant disadvantages in occupational prestige compared to veteran Jews. Although causation cannot be inferred because of the correlational design of our study, digital skills were found to contribute to occupational prestige among veteran Jews and FSU immigrants, beyond the classic socio-demographic factors. The occupational prestige gap between veteran Jews and FSU immigrants was eliminated after controlling for socio-demographic variables and before taking digital skills into consideration. The effect of digital skills on occupational prestige among Arabs was insignificant and after controlling for socio-demographic and digital skills, the gap in occupational prestige between veteran Jews and Arabs remained significant.     

Resilience,mental health and Assertive Community Treatment

Clinicians try to promote resilience by building an effective therapeutic relationship with their clients. Assertive Community Treatment (ACT) is an established approach for providing services to individuals with severe mental illness who have not fared well in the regular mental health system. This work underscores the importance of a resilient therapeutic relationship in preventing relapse and assuring adherence to therapeutic outcomes. Persistent psychiatric illness takes a toll on the resilience of the client, while the relationship work takes a toll on the resilience of the clinician. This article explores the concept of relational resilience between clinician and client as a dynamic process of shared success and failure, progress and regression through cycles of crisis, stabilization, relapse, and partial recovery. This is a qualitative study exploring how ACT clinicians promote and sustain resilience and is based on interviews with social workers, nurses, occupational and recreational therapists, coordinators, and psychiatrists.     

Collaborative care for individuals with bipolar disorder or schizophrenia and co-occurring physical health conditions: A systematic review

While rates of chronic physical health conditions are increasing for the general population, individuals with severe mental illness are at greater risk. Co-occurring mental and physical health conditions are associated with poor health care utilization, socioeconomic, and patient-reported health status outcomes. This study used systematic review procedures to investigate the effectiveness of collaborative care models for improving the health of adults with bipolar disorder or schizophrenia and co-occurring chronic physical health conditions. Six studies met inclusion criteria, and included outcomes related to quality of life, physical health, and mental health. Collective and study-level results are reported and discussed, including implications for social work practice and research.     

Robust estimation of a dynamic spatio-temporal model with structural change

We postulate a dynamic spatio-temporal model with constant covariate effect but with varying spatial effect over time and varying temporal effect across locations. To mitigate the effect of temporary structural change, the model can be estimated using the backfitting algorithm embedded with forward search algorithm and bootstrap. A simulation study is designed to evaluate structural optimality of the model with the estimation procedure. The fitted model exhibit superior predictive ability relative to the linear model. The proposed algorithm also consistently produced lower relative bias and standard errors for the spatial parameter estimates. While additional neighbourhoods do not necessarily improve predictive ability of the model, it trims down relative bias on the parameter estimates, specially for spatial parameter. Location of the temporary structural change along with the degree of structural change contributes to lower relative bias of parameter estimates and in better predictive ability of the model. The estimation procedure is able to produce parameter estimates that are robust to the occurrence of temporary structural change.     

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.     

Toward the establishment of a family of distributions that may fit any dataset

This article presents a review and comparison of the most important expanded families of distributions. We set the essential requirements by which an expanding family can fit any dataset successfully. A new method is proposed to construct families, which fulfill these essential requirements. Consequently, two families are suggested, which are more tractable than many other known families and possess very wide range of the indices of skewness and kurtosis. The article is motivated by two applications to real dataset.     

Alpha power Weibull distribution: Properties and applications

In this paper, a new lifetime distribution is defined and studied. We refer to the new distribution as alpha power Weibull distribution. The importance of the new distribution comes from its ability to model monotone and non monotone failure rate functions, which are quite common in reliability studies. Various properties of the proposed distribution are obtained including moments, quantiles, entropy, order statistics, mean residual life function, and stress-strength parameter. The maximum likelihood estimation method is used to estimate the parameters. Two real data sets are used to illustrate the importance of the proposed distribution.     

Perturbed robust linear estimating equations for confidentiality protection in remote analysis

National statistical agencies and other data custodians collect and hold a vast amount of survey and census data, containing information vital for research and policy analysis. However, the problem of allowing analysis of these data, while protecting respondent confidentiality, has proved challenging to address. In this paper we will focus on the remote analysis approach, under which a confidential dataset is held in a secure environment under the direct control of the data custodian agency. A computer system within the secure environment accepts a query from an analyst, runs it on the data, then returns the results to the analyst. In particular, the analyst does not have direct access to the data at all, and cannot view any microdata records. We further focus on the fitting of linear regression models to confidential data in the presence of outliers and influential points, such as are often present in business data. We propose a new method for protecting confidentiality in linear regression via a remote analysis system, that provides additional confidentiality protection for outliers and influential points in the data. The method we describe in this paper was designed for the prototype DataAnalyser system developed by the Australian Bureau of Statistics, however the method would be suitable for similar remote analysis systems.