Clinical social work education in palliative and end-of-life care: relational approaches for advanced practitioners

This paper describes the first post-Master's program in the US in end-of-life care for social workers. Developed at the Smith College School for Social Work, this program used innovative relational methods in student recruitment, curricular design, supervision, and leadership development, based upon input from the faculty, students, and field supervisors. Collaborations emerged with funders, agencies, and programs nationally. The program was based on a pedagogical stance that clinical work with dying people requires the capacity to be fully present- in individual, group, and family work; in interdisciplinary meetings; and in advocating for quality and equity of care-while attending to diverse and at-risk populations. Students deepened their clinical skills and took leadership in the field of end-of-life care.     

Statistical methodology for binary data from a set of partially structured two-way random cross-classifications

A complete two-way cross-classification design is not practical in many settings. For example, in a toxicological study where 30 male rats are mated with 30 female rats and each mating outcome (successful or unsuccessful)is observed, time and resource considerations can make the use of the complete design prohibitively costly. Partially structured variations of this design are, therefore, of interest (e.g., the balanced disjoint rectangle design, the fully diagonal design, and the "S"-design). Methodology for analyzing binary data from such incomplete designs is illustrated with an example. This methodology, which is based on infinite population sampling arguments, allows the estimation of the mean response, among-row correlation coefficient, among-column correlation coefficient, and the within-cell correlation coefficient as well as their standard errors.     

Polarization: Concepts,Measurement, Estimation

We develop the measurement theory of polarization for the case in which income distributions can be described using density functions. The main theorem uniquely characterizes a class of polarization measures that fits into what we call the “identity‐alienation” framework, and simultanously satisfies a set of axioms. Second, we provide sample estimators of population polarization indices that can be used to compare polarization across time or entities. Distribution‐free statistical inference results are also used in order to ensure that the orderings of polarization across entities are not simply due to sampling noise. An illustration of the use of these tools using data from 21 countries shows that polarization and inequality orderings can often differ in practice.     

Methods to Distinguish Between Polynomial and Exponential Tails

Two methods to distinguish between polynomial and exponential tails are introduced. The methods are based on the properties of the residual coefficient of variation for the exponential and non‐exponential distributions. A graphical method, called a CV‐plot, shows departures from exponentiality in the tails. The plot is applied to the daily log‐returns of exchange rates of US dollar and Japanese yen. New statistics are introduced for testing the exponentiality of tails using multiple thresholds. They give better control of the significance level than previous tests. The powers of the new tests are compared with those of some others for various sample sizes.     

A grounded theory research approach to building and testing TQM theory in operations management

Total quality management (TQM) has continued to develop as a strategic business improvement approach in organisations and within the Operations Management literature. Strategic TQM is a dynamic phenomenon, reflecting the complexity and technology development in the business environment. Therefore, this conception of TQM has led to significant challenges with regards to developing suitable models and research methodology where traditional, and normative research data, includes survey responses associated with deductive theory and testing. Such data, and its use, is often premised on cause and effect rationality and fails to supply deep rich data to address meanings, phenomena and complex socio-political events, which is a feature of strategic TQM.     

The Effect of Infancy Childcare Center Use and Maternal Employment on Toddlers’ Language Development in South Korea

Using first to fourth wave data of the Panel Study of Korean Children (PSKC), this study explores the effects of childcare center use, maternal employment, and other child and familial characteristics on the language development of toddlers in Korea. Among the 2078 families with children in the PSKC, those who completed the Receptive and Expressive Vocabulary Test at the fourth wave were selected, and a small number of disabled or prematurely born children were excluded. In addition, to clarify the effects of maternal employment, families with mothers who were either employed or unemployed for three consecutive years during the child's infancy were selected. Regression analysis showed that neither childcare center use nor maternal employment during infancy had significant effects on toddlers’ expressive and receptive vocabulary at the fourth wave. Family characteristics, such as household poverty and maternal education level, as well as child characteristics, such as gender and birth order, had significant effects on expressed vocabulary. However, only children's gender significantly affected the receptive vocabulary level of toddlers.