Generalized Control Charts for Non-Normal Data Using g-and-k Distributions

Statistical control charts are often used in industry to monitor processes in the interests of quality improvement. Such charts assume independence and normality of the control statistic, but these assumptions are often violated in practice. To better capture the true shape of the underlying distribution of the control statistic, we utilize the g-and-k distributions to estimate probability limits, the true ARL, and the error in confidence that arises from incorrectly assuming normality. A sensitivity assessment reveals that the extent of error in confidence associated with control chart decision-making procedures increases more rapidly as the distribution becomes more skewed or as the tails of the distribution become longer than those of the normal distribution. These methods are illustrated using both a frequentist and computational Bayesian approach to estimate the g-and-k parameters in two different practical applications. The Bayesian approach is appealing because it can account for prior knowledge in the estimation procedure and yields posterior distributions of parameters of interest such as control limits.     

Resident interaction and social well-being in an oil boomtown in western North Dakota

Previous studies on the social well-being of residents living in energy boomtowns focus primarily on demographic characteristics of residents. These studies do not consider that there could be a relationship between residents’ social well-being and whether they interact with new residents moving into their community. The current study includes a measure of interaction with new residents as it examines five dimensions of the social well-being of residents living in an oil boomtown in western North Dakota. Surveys were distributed door-to-door to residents living in Williston North Dakota during the fall of 2015. Research findings show that people who reported that they interact with new residents moving into their community felt safe from crime and violence in their community; felt more socially integrated in their community; had high levels of community trust and community satisfaction, and believed that they could count on their neighbors. These findings are important because they highlight the significance of social interaction in communities that experience rapid population growth resulting from increased energy production.     

Are Scandinavian Countries Different? A Comparison of Relative Incomes for Older People in OECD Nations

Recent research has cast some doubt on the consistency of models that isolate Scandinavian countries as different to other nations in terms of egalitarian welfare states. For example, it has been argued that if occupational welfare polices have their contribution to national welfare better accounted for in comparative models, or if there is a focus on specific aspects of welfare coverage, then Scandinavian welfare states look less different to other European countries. Using case‐based methods that try to balance the demand for generalizations and the qualitative integrity of the case, this research examines the specific case of income protection for the older population post‐retirement, to see if Scandinavian countries emerge as consistently different when compared with other OECD nations. Scandinavia can be clearly identified in a separate cluster, but it is not alone and other countries also share its similarities. In particular, Scandinavia emerges in a cluster that provides more income replacement and protection for women. In part, this is reinforced by the high rate of labour participation by women in Scandinavian countries. However, there is little evidence of Scandinavian countries retaining noticeable differences and divergence in income protection policies for men.     

Black adolescents' racial discrimination and suicide behaviors: Testing perceived school safety as a protective moderator

The current study examined associations between Black adolescents' (M_age = 15.55, SD = 1.23) racial discrimination and suicide behaviors (i.e., suicide ideation, suicide plan, and suicide attempts), and whether perceived school safety was a protective moderator. Furthermore, we tested gender differences in relations, which were not significant. Racial discrimination predicted greater suicide behaviors, and school safety informed less suicide behaviors. School safety moderated the relation between discrimination and suicide plan, such that at low school safety, discrimination predicted having a suicide plan but was not significant at high school safety. Furthermore, school safety moderated the relation between discrimination and suicide attempts. At low school safety, discrimination predicted more suicide attempts, but was not significant at high school safety.     

Die Analyse sozialer Kontexte

Individual behaviour is always embedded in social contexts such as networks, companies, neighbourhoods. They constitute a central condition to explain individual behaviour. We discuss major problems of context analysis. We first define context to then explore how contexts affect behaviour—the social mechanisms. We specify a multilevel model to demonstrate theoretical problems linking levels and the associated problems of adequate statistical modelling. An example is the explanation of individual behaviour by country level data.We then discuss cross pressures between contexts; here, we show how similar theoretical approaches of Simmel and Lazarsfeld are. Finally, we turn to two other problems of context analyses: non-linear effects and selection bias. We resume our arguments by suggesting a preliminary theory of contexts and strategies for future research.     

Performance of localized regression tree splitting criteria on data with discontinuities

Properties of the localized regression tree splitting criterion, described in Bremner & Taplin (2002) and referred to as the BT method, are explored in this paper and compared to those of Clark & Pregibon's (1992) criterion (the CP method). These properties indicate why the BT method can result in superior trees. This paper shows that the BT method exhibits a weak bias towards edge splits, and the CP method exhibits a strong bias towards central splits in the presence of main effects. A third criterion, called the SM method, that exhibits no bias towards a particular split position is introduced. The SM method is a modification of the BT method that uses more symmetric local means. The BT and SM methods are more likely to split at a discontinuity than the CP method because of their relatively low bias towards particular split positions. The paper shows that the BT and SM methods can be used to discover discontinuities in the data, and that they offer a way of producing a variety of different trees for examination or for tree averaging methods.     

Attending to sibling issues and transferences in psychodynamic psychotherapy

This paper urges that attention be paid to the meaning and importance of early sibling relationships as manifested in clients' and therapists' lives and psychodynamic psychotherapy.