Rewriting dominant narratives of the academy: women faculty of color and identity management

Drawing on Delgado and Yosso’s counterstory, Yosso’s community cultural wealth, and Alsup’s borderland discourses, the authors, who are women of color academics, use narratives from their lives to discuss the ways in which they draw on resources in managing and reconfiguring their multiple identities within the academy. These include identities of scholars, mentors, teachers, community members, mothers, and partners. They suggest that rather than merely being socialized into cultural reproduction, as much of the literature oriented toward women of color advises them to do in order to become successful, they seek to actually engage in transforming their roles and that of the academy by consciously and repeatedly making present and visible facets of identity that have previously been more-or-less absent in higher education. By presenting these counter-narratives the authors attempt to engage with ways of self-positioning that are, especially for women of color in academia, not frequently discussed or presented.     

An algorithmic approach to construct D-optimal saturated designs for logistic model

In this paper, locally D-optimal saturated designs for a logistic model with one and two continuous input variables have been constructed by modifying the famous Fedorov exchange algorithm. A saturated design not only ensures the minimum number of runs in the design but also simplifies the row exchange computation. The basic idea is to exchange a design point with a point from the design space. The algorithm performs the best row exchange between design points and points form a candidate set representing the design space. Naturally, the resultant designs depend on the candidate set. For gain in precision, intuitively a candidate set with a larger number of points and the low discrepancy is desirable, but it increases the computational cost. Apart from the modification in row exchange computation, we propose implementing the algorithm in two stages. Initially, construct a design with a candidate set of affordable size and then later generate a new candidate set around the points of design searched in the former stage. In order to validate the optimality of constructed designs, we have used the general equivalence theorem. Algorithms for the construction of optimal designs have been implemented by developing suitable codes in R.     

‘I’m not really sure but I hope it’s better’: early thoughts of parents and carers in a regional trial site for the Australian National Disability Insurance Scheme

The National Disability Insurance Scheme (NDIS) is one of the most significant initiatives in Australian social policy history. Its complexity has been compounded by a fast-paced introduction and ongoing refinement throughout the initial trial phase. Parents and carers of very young disabled children face particular challenges accessing and navigating NDIS systems. This article presents findings from a mixed-method pilot study examining the perspectives of parents and carers of disabled children in one NDIS trial site – the Hunter Region of New South Wales. The research highlights a number of policy assumptions potentially impacting on NDIS take up for young disabled children and their families in regional contexts. Based on research findings a number of policy suggestions and improvements for disabled children and their families entering the NDIS and other individualised funding schemes are outlined.     

Chain ratio type estimator for ratio of two population m3ans using auxiliary characters

In this paper we have proposed chain ratio type estimators for ratio of two population means using two auxiliary characters. The expressions for bias and mean square error of these estimators have been derived. A comparison of the proposed estimator with that of double sampling estimator has been made in terms of mean square error. An emperical study has also been made.     

Family,marital, and occupational satisfaction for recovering pathological gamblers

This paper describes the efforts of a private gambling treatment program to conduct a retrospective study of pathological gamblers treated in a publicly supported residential program. The Johns Hopkins Center for Pathological Gambling treated approximately 100 pathological gamblers nationwide from 1979 to 1983 in its residential component. Twenty-six gamblers were assessed regarding their recovery status with specific focus on family, marital status and occupational satisfaction. It was hypothesized that the more satisfied patients would display lower frequencies of gambling and that gambling frequency was dependent upon the level of satisfaction. Thirty-one percent of these gamblers reported abstinence. Regression analyses indicated that the recovery of pathological gamblers as measured by frequency of gambling is significantly influenced by job satisfaction, and moderately influenced by marital status and family life satisfaction. Consequently, these factors should be addressed by mental health professionals in research and treatment of pathological gambling.     

Sustaining the Financial Value of Global CSR: Reconciling Corporate and Stakeholder Interests in a Less Regulated Environment

In this article we examine the association between corporate social responsibility (CSR) and firm value. This line of research is important since firms continue to invest in CSR even though past studies reveal a limited linkage between financial value and CSR. However, the business case for CSR or “doing good while making a profit,” appears to be advancing within the business ethics literature as a preferred conception of CSR. We conjecture that the greater unification and refinement of both profit maximization and stakeholder interests through corporate acts, not statements alone, will sustain the financial value of CSR in a less regulated global business environment. We study the triangle of what companies say, what companies do, and firm financial performance. We analyze Fortune 250 firms and find a positive association between what companies do based on KLD Research and Analytics, Inc. (KLD) ratings, and what companies state about ethics in their CSR statements. We then employ regression analysis and find that companies’ socially responsible acts are positively associated with overall firm value and financial performance. Yet we do not find a statistically significant association between what companies say regarding ethics in their CSR statements and their financial outcomes. These results suggest that firm value and financial performance is associated with what companies do and not what they say. Our results seem to be driven by multinational corporations (MNCs) and not by non‐MNCs. This is possibly because MNCs generally operate in a less regulated global business environment that often necessitates strong ethical corporate leadership to further stakeholder interests. Overall, these results help reconcile corporate and stakeholder objectives since evidence of a link between financial performance and doing good sustains global CSR.     

Parameter estimation of Lindley step stress model with independent competing risk under type 1 censoring

Abstract

In literature, Lindley distribution is considered as an alternative to exponential distribution to fit lifetime data. In the present work, a Lindley step-stress model with independent causes of failure is proposed. An algorithm to generate random samples from the proposed model under type 1 censoring scheme is developed. Point and interval estimation of the model parameters is carried out using maximum likelihood method and percentile bootstrap approach. To understand the effectiveness of the resulting estimates, numerical illustration is provided based on simulated and real-life data sets.     

Excitement-seeking Gambling in a Nationally Representative Sample of Recreational Gamblers

Excitement-seeking and related constructs have been associated with heavier gambling and negative health measures in problem and/or pathological gamblers. Most adults gamble recreationally and an understanding of the relationship between excitement-seeking as a motivation for gambling amongst subsyndromal gamblers has significant public health implications. Logistic regression analyses were used to examine a national sample of past-year recreational gamblers (N = 1,476) to identify characteristics distinguishing gamblers acknowledging gambling for excitement (“Excitement-seeking Gamblers” or EGs) and gamblers denying gambling for excitement (“Non-excitement-seeking Gamblers” or NEGs). EGs were more likely than NEGs to report alcohol use and abuse/dependence, any substance abuse/dependence, incarceration, large gambling wins and losses, more frequent and varied gambling, and symptoms of pathological gambling (i.e., at-risk gambling). Together, these findings indicate that EGs are more likely than NEGs to demonstrate problems in multiple areas characterized by impaired impulse control.     

Reflective Practices for Engaging in Trauma-Informed Culturally Competent Supervision

ABSTRACT

Race, ethnicity, and culture are critical components that affect and shape the supervisory relationship, yet literature about ways to acknowledge and actively engage them from a trauma-informed approach has been limited. To enhance the discussion of this issue, this article first reviews leading theoretical aspects of supervision designed to train practitioners in the field of mental health, followed by a discussion of race, ethnicity, and culture in supervision and, finally, provides reflective practices for engaging in trauma-informed culturally competent supervision.     

Optimal block designs with non additive mixed effects interference

This paper deals with optimality aspects of block designs balanced for interference effects from neighboring units on both sides under a general non additive model along with random block effects. Here, a class of complete, circular block designs strongly balanced for interference effects has been shown to be universally optimal for the estimation of direct effects and interference effects (left and right) of treatments under a non additive mixed effects model.