Why does transformational leadership matter for employee turnover? A multi-foci social exchange perspective

Drawing on social exchange theory, the present study investigates the underlying mechanisms through which transformational leadership influences employee turnover. Leader–member exchange (LMX) and affective commitment (AC) are proposed as supervisor-based and organization-based social exchange mechanisms respectively, exemplifying how social exchange processes occur between an employee and his/her supervisor, and between the employee and his/her organization as a whole to underpin the effect of transformational leadership on turnover outcomes. Results of structural equation modeling on a sample of 490 full-time employees working in a large telecommunication company in the PRC provided support for the notion that transformational leadership is related to both social exchange mechanisms – LMX and AC – turnover intention and turnover behavior. Furthermore, the results revealed that AC rather than LMX mediated the link between transformational leadership and turnover intention. Turnover intention also only mediated the relationship between AC and turnover behavior over time.     

Assessing local cluster influence in generalized linear mixed models

This paper investigates local influence measures for assessing cluster influence in generalized linear mixed models. Several cluster-specific perturbation schemes are considered. The proposed local influence diagnostics are applied to analyse maternity length of inpatient stay data where individual observations are nested within hospitals and the relative performance of hospitals is of interest.     

Impact of Acts of Discrimination on Quality of Life Among Injecting Drug Users in Delhi, India

The study examines the association between quality of life (QOL) and discrimination perpetrated against a vulnerable population like injecting drug users (IDU). Given that QOL affects self efficacy which in turn affects behavior, it is relevant to examine QOL among IDUs in the context of HIV prevention, and to study whether discriminations and human rights abuses impact QOL in this population. A cross sectional study was conducted in two research sites in Delhi, India among 343 IDUs recruited through a respondent driven sampling. A Hindi version of the WHOQOL Bref survey along with a survey questionnaire of discrimination were used to interview participants. After controlling for demographic characteristics, experiencing physical and verbal abuse (OR: 0.46, CI 0.27–0.79),arrests and imprisonment for carrying needles and/or using drugs (OR: 0.53, CI 0.31–0.90) and lacking health information (OR: 0.49, CI 0.29–0.85)was associated with lower social QOL, while being denied health care services was associated with lower psychological QOL. The more discrimination experienced, the lower was the quality of life in the social and psychological domains. Participants’ perceived well being in the four domains was related to their living conditions, discriminatory acts and to perceptions of social support. Discriminatory acts and abuses appeared to have a greater toll on their psychological well being and social relationships, thus indicating the need for human rights advocacy in order to influence law enforcement practices and to reduce stigma, while expanding social support through an extended comprehensive IDU programme.     

Estimation of p(y<x) in the gamma case

We consider estimation of P(Y<X) when X?Γr(M,λ) and Y?Γ(N,μ) are independent with M and N known. A concise representation of the UMVUE and several representations for the MLE are derived. Closed-form exact expressions of both MSE's and the bias of the MLE are obtained. Large-sample results are given and numerical comparison of the two point estimators is made. Confidence intervals are given.     

Estimation of High-Frequency Volatility: An Autoregressive Conditional Duration Approach

We propose a method to estimate the intraday volatility of a stock by integrating the instantaneous conditional return variance per unit time obtained from the autoregressive conditional duration (ACD) model, called the ACD-ICV method. We compare the daily volatility estimated using the ACD-ICV method against several versions of the realized volatility (RV) method, including the bipower variation RV with subsampling, the realized kernel estimate, and the duration-based RV. Our Monte Carlo results show that the ACD-ICV method has lower root mean-squared error than the RV methods in almost all cases considered. This article has online supplementary material.     

A Diagnostic Test for the Multinomial Logit Model

I propose a Lagrange multiplier test for the multinomial logit model against the dogit model (Gaudry and Dagenais 1979) as the alternative hypothesis. In view of the well-known drawback of the restrictive property of independence from irrelevant alternatives implied by the multinomial logit model, a specification test has much to recommend it. Finite sample properties of the test are studied using a Monte Carlo experiment, and the test's power against the nested multinomial logit model and the multinomial probit model is investigated. The test is found to be sensitive to the values of the regression parameters of the linear random utility function.     

Adjusting risky situations: A theoretical framework and empirical test

Experienced executives frequently try to modify the risky situations they face in order to make them more favorable rather than simply choosing from among available decision options. This article investigates several types of risk adjustments such as trying to influence the situation through bargaining and spending resources, gathering information, developing new options, and consulting one's superiors. A theoretical framework is presented that characterizes different types of adjustments and relates them to variables such as perceived risk, perceived control, perceived responsibility, decisiveness, and risky choice. The framework is tested using experienced decision makers who respond to four simulated risky business decisions.University of British Columbia     

Practice wisdom: the art and science of social work

Practice wisdom is the foundation for effective practice and encompasses both the art and science of social work. The divide between practice and theory has existed since the profession emerged and practice wisdom is the bridge to this gap. The epistemology and ontology of practice wisdom highlights its importance for research, education and practice for the next generation of social workers. The work of Howard Goldstein is critical in the examination of the artistry of practice wisdom, which can be taught and measured by supporting the development of critical thinking and reflection skills of students. Capturing the essence of practice wisdom lays the foundation for developing a pedagogy that promotes its development in social work students.