Detecting influential observations in Watson data

A method for detecting outliers in axial data has been proposed by Best and Fisher (1986 Best, D.J., Fisher, N.I. (1986). Goodness-of-fit and discordancy tests for samples from the Watson distribution on the sphere. Aust. J. Stat. 28:13–31.[Crossref] , [Google Scholar]). For extending that work, we propose four new methods. Two of them are suitable for outlier detection and they depend on the classic geodesic distance and a modified version of this distance. The other two procedures, which are designed for influential observation detection, are based on the Kullback–Leibler and Cook’s distances. Some simulation experiments are performed to compare all considered methods. Detection and error rates are used as comparison criteria. Numerical results provide evidence in favor of the KL distance.     

Not every Gibbs sampler is a special case of the Metropolis–Hastings algorithm

It is commonly asserted that the Gibbs sampler is a special case of the Metropolis–Hastings (MH) algorithm. While this statement is true for certain Gibbs samplers, it is not true in general for the version that is taught and used most often, namely, the deterministic scan Gibbs sampler. In this note, I prove that that there exist deterministic scan Gibbs samplers that do not exhibit detailed balance and hence cannot be considered MH samplers. The nuances of various Gibbs sampling schemes are discussed.     

Pseudo maximum-likelihood estimation of the univariate GARCH (1,1) and asymptotic properties

One provides in this paper the pseudo-likelihood estimator (PMLE) and asymptotic theory for the GARCH (1,1) process. Strong consistency of the pseudo-maximum-likelihood estimator (MLE) is established by appealing to conditions given in Jeantheau (1998) concerning the existence of a stationary and ergodic solution to the multivariate GARCH (p, q) process. One proves the asymptotic normality of the PMLE by appealing to martingales' techniques.     

The Stochastic Volatility in Mean Model With Time-Varying Parameters: An Application to Inflation Modeling

This article generalizes the popular stochastic volatility in mean model to allow for time-varying parameters in the conditional mean. The estimation of this extension is nontrival since the volatility appears in both the conditional mean and the conditional variance, and its coefficient in the former is time-varying. We develop an efficient Markov chain Monte Carlo algorithm based on band and sparse matrix algorithms instead of the Kalman filter to estimate this more general variant. The methodology is illustrated with an application that involves U.S., U.K., and Germany inflation. The estimation results show substantial time-variation in the coefficient associated with the volatility, highlighting the empirical relevance of the proposed extension. Moreover, in a pseudo out-of-sample forecasting exercise, the proposed variant also forecasts better than various standard benchmarks.     

Employee work-to-family role boundary management in the family business

Family-owned organizations present a unique opportunity to study work-to-family boundary management. Boundary theory suggests that work-to-family boundary dynamics may be different in family businesses, and that family businesses are not a neutral ground for individual employees’ segmentation preferences. The present study draws on the sociocognitive processes underlying boundary theory to explain how the family business context may affect family and nonfamily employees’ work-to-family role management differently. The study examines the work-to-family role boundary configurations of 149 family and non-family employees in family businesses. Results suggest that family employee status buffers against undesirable effects of segmentation preferences in the family business context. For family employees, segmentation preferences were associated with lower work-to-family conflict and unassociated with turnover intentions. For non-family employees, segmentation preferences were associated with higher work-to-family conflict and turnover intentions. Implications for work–family theory and family business successorship and work–family policy are discussed.     

The case for humane education in social work education

Humane education focuses on the interconnectedness between human rights, environmental sustainability, and animal protection, and started in the United States in 1996 through the Institute of Humane Education. While social work and social work education has emphasized human rights, the ecological, person-in-environment perspectives need to be expanded to include environmental preservation and animal welfare considering the numerous negative consequences on the global ecosystems. This article makes the case that humane education is an interdisciplinary link for helping social work educators expand their definitions of environmental justice and human–animal relationships so that student ecological consciousness includes the welfare of humans, nonhumans, and the broader ecosystem in their pursuit of change. It offers practical suggestions for opportunities to do this in the social work curriculum.     

Forging and sustaining research-minded professionals: teaching undergraduate research through student-community partnerships

The teaching of research is a well-established core component of social work curricula around the world. While educators in social work recognize the value, and need for research they have encountered persistent discomfort and reluctance from students to recognize this need. Practitioners in the field of social work often share this reserve either due to limited self-efficacy with regard to research knowledge and skills or practical constraints. With the growing need for practice-based knowledge, accountability and evidence-based practices to drive outcomes and service effectiveness, it is becoming imperative to not only prepare future social work professionals with the required skill sets but also support current professionals to meet these expectations. This paper showcases a pedagogical endeavor with an undergraduate research course in an American rural university, designed and implemented to create and support research-minded professionals through student–agency research partnerships. Through a collaborative, service-oriented learning, students have gained a new appreciation for research and agency connections while agencies have welcomed the path created to pursue their research agenda. This experience has valuable implications for research capacity building, and for community engaged research empowering future and current professionals to suitably use research toward effective and meaningful service provision.     

Effects of emotional visuals and company–cause fit on memory of CSR information

This study explores the cognitive effects of emotional visuals and company–cause fit in CSR communication. We conducted a 2 (valence of visuals: positive vs. negative)?×?2 (company–cause fit: high vs. low) within-subjects experiment to examine the effects of valence and company–cause fit on participants’ memory of CSR information, measured by recognition sensitivity and cued recall of company information in CSR messages addressing three different CSR issues. Results showed that negative emotional visuals were more effective than positive emotional visuals. Company–cause fit also played a significant role, but its effect depended on the level of cognitive effects aimed for. We discuss the theoretical and practical implications.     

A narrative review of interventions addressing the parental–fetal relationship

Background

Expectant parents develop varying degrees of emotional affiliation with the unborn child. Interventions supporting this relationship may be beneficial given its link to maternal health behaviour during pregnancy, as well as the parental–infant bond after birth.

A family affair: Evidence of chain migration during the mass emigration from the county of Halland in Sweden to the United States in the 1890s

This paper examines the influence of individual and household factors on an individual’s propensity to emigrate from Halland, a region in south-west Sweden, to the United States during the era of mass migration in the late nineteenth century. The study has a case–control design, using individual-level longitudinal data for a group of emigrants (cases) and a group of non-emigrants (controls). Results indicate the importance of a family’s emigration history; individuals whose relatives had previously moved to the United States were more likely to emigrate themselves. In addition, the results also show how this impact varied between groups and how other factors relating to the individual’s life situation affected the migration decision. Thus, this paper shows how chain migration and migration networks play important roles during times of mass migration.