Exploring types of interference between work and non-work: using a diary study approach

Studies of work and family issues have used predominately between-subject cross-sectional designs. While some researchers have called for more longitudinal studies, others have suggested that a more strategic way forward for the field is the use of daily diary studies (Frone, Russell, & Cooper, 1992). This study explores different types of interference between work and non-work domains, using a diary study methodology. This study consisted of a two-week diary study among 12 Irish employees. Analysis involved a two-step procedure involving both content analysis and interpretative phenomenological analysis (IPA). Results indicated that while individuals reported strain-based and time-based interference, evidence was also found of interference concerning persistent and intrusive thoughts. Despite some limitations to the study, this paper demonstrates that diary studies represent an opportunity for researchers to explore work and non-work experiences in a sensitive and ecologically valid way.     

Work–family conflict: The importance of differentiating between different facets of job characteristics

This review study clarifies the relationships between job characteristics and work–family conflict (WFC) by differentiating among three facets of job characteristics: latent, perceived, and enacted. To date, research linking job characteristics to WFC has not distinguished the facets of job demands and job resources in this way. Such distinctions are important as a means of understanding the affective, behavioural, and cognitive processes involved in determining how and when job characteristics relate to WFC. Our review of 115 studies showed that perceived job characteristics have been most commonly explored in relation to WFC, whereas latent and enacted job characteristics have been hardly examined. While these findings may not be surprising, our contribution lies in reviewing the literature through the lens of these categories. Based on the findings, and through highlighting examples in the extant literature, we argue that understanding job characteristics in terms of both how they are perceived and enacted by workers will provide a deeper insight into the mechanisms underlying the relationship between job characteristics and WFC. In order to inform evidence-based interventions, future research must uncover the dynamic mechanisms underpinning the connection between job characteristics and WFC through a focus on enacted job facets and the cognitive, affective, and behavioural processes involved.     

Double trouble: work–family conflict and well-being for second job holders

The purpose of this study was to provide an initial investigation into the work–family conflict (WFC) experiences of individuals who hold a second job. Specifically, we proposed two opposing theoretical arguments regarding the relationship between WFC and four measures of well-being: life satisfaction, physical health, emotional exhaustion, and exercise for individuals who hold two jobs. In a sample of individuals working two jobs, we tested whether the effects of WFC arising from the first job and from the second job exerted an additive or interactive effect on employee well-being. Our results indicated that for emotional exhaustion, physical symptoms, and life satisfaction, the effects of WFC from two jobs are interactive; but that for exercise, the effects of WFC from two jobs are additive. In both cases, the additional WFC experienced as a result of working a second job contributed to the prediction of employee well-being over and above WFC from the first job. Results are discussed within the context of relevant theory, and suggestions are made for future research.     

Periodic integer-valued bilinear time series model

This paper deals with the study of some probabilistic and statistical properties of a periodic integer-valued diagonal bilinear model. The existence of a periodically strict stationary integer-valued process is shown. Sufficient conditions for the periodically stationary, both in the first and second orders, are established. The closed-forms of the mean and the second moment are obtained. The closed-form of the periodic autocovariance function is established. The Yule–Walker estimations of the underlying parameters are obtained. A simulation study is provided.     

Deletion residuals in the detection of heterogeneity of variances in linear regression

The heterogeneity of error variance often causes a huge interpretive problem in linear regression analysis. Before taking any remedial measures we first need to detect this problem. A large number of diagnostic plots are now available in the literature for detecting heteroscedasticity of error variances. Among them the ‘residuals’ and ‘fits’ (R–F) plot is very popular and commonly used. In the R–F plot residuals are plotted against the fitted responses, where both these components are obtained using the ordinary least squares (OLS) method. It is now evident that the OLS fits and residuals suffer a huge setback in the presence of unusual observations and hence the R–F plot may not exhibit the real scenario. The deletion residuals based on a data set free from all unusual cases should estimate the true errors in a better way than the OLS residuals. In this paper we propose ‘deletion residuals’ and the ‘deletion fits’ (DR–DF) plot for the detection of the heterogeneity of error variances in a linear regression model to get a more convincing and reliable graphical display. Examples show that this plot locates unusual observations more clearly than the R–F plot. The advantage of using deletion residuals in the detection of heteroscedasticity of error variance is investigated through Monte Carlo simulations under a variety of situations.     

Kiefer–Wolfowitz algorithm under quasi-associated random errors

In this article, we study the algorithm of Kiefer–Wolfowitz underquasi-associated random errors. We establish the complete convergence and obtain an exponential bound. Additionally, we build a confidence interval for the minimum. Numerical examples are sketched out to confirm the theoretical results and show the accuracy of the algorithm.     

Reconfiguring Social Work Education to Fight HIV–AIDS: A Model for Developmental Contexts

This article charts the response of social work educators in addressing HIV–AIDS. Based at the University of the West Indies in the Republic of Trinidad and Tobago, the faculty within the Social Work Unit developed a model of teaching, research and practice that was innovative and transcended cultural, geographical and professional boundaries. The model has contributed a lasting legacy of knowledge and culturally relevant practices to enhance the capacity and effectiveness of social workers working with people living with HIV–AIDS (PLWHIV). Inherent in the propositions that underpinned the model was a belief in the role of education in alleviating psychosocial and other impacts of social problems. This article describes this unique initiative and discusses its relevance to current social work practice and the implications for contemporary social work education. The authors argue that while social work draws on a common body of knowledge, an established set of professional skills and a universal code of values, these central tenets of the profession should not be regarded as concrete and fixed but must be figured and reconfigured as needed to address emerging contemporary problems and their specific sociocultural manifestations.     

Bayesian multivariate GARCH models with dynamic correlations and asymmetric error distributions

The main goal in this paper is to develop and apply stochastic simulation techniques for GARCH models with multivariate skewed distributions using the Bayesian approach. Both parameter estimation and model comparison are not trivial tasks and several approximate and computationally intensive methods (Markov chain Monte Carlo) will be used to this end. We consider a flexible class of multivariate distributions which can model both skewness and heavy tails. Also, we do not fix tail behaviour when dealing with fat tail distributions but leave it subject to inference.     

A simplified proof of a theorem on the difference of the moore–penrose inverses of two positive semi–difinte matrices

Simplified proofs are given of a standard result that establishes positive semi–definiteness of the difference of the inverses of two non–singular matrices, and of the extension of this result by Milliken and Akdeniz (1977) to the difference of the Moore–Penrose inverse of two singular matrices.     

z Test for the significance of the mean of a stable probability distribution with 1<α≤2

The analysis of data using a stable probability distribution with tail parameter α<2 (sometimes called a Pareto–Levy distribution) seems to have been avoided in the past in part because of the lack of a significance test for the mean, even though it appears to be the correct distribution to use for describing returns in the financial markets. A z test for the significance of the mean of a stable distribution with tail parameter 1<α≤2 is defined. Tables are calculated and displayed for the 5% and 1% significance levels for a range of tail and skew parameters α and β. Through the use of maximum likelihood estimates, the test becomes a practical tool even when α and β are not that accurately determined. As an example, the z test is applied to the daily closing prices for the Dow Jones Industrial average from 2 January 1940 to 19 March 2010.