The fiducial argument and hacking's principle of irrelevance

In a searching analysis of the fiducial argument Hacking (1965) proposed the Principle of Irrelevance as a condition under which the argument is valid. His statement of the Principle was essentially non-mathematical and this paper presents a mathematical development of the Principle. The relationship with likelihood inference is explored and some of the proposed counter-examples to fiducial theory are considered. It is shown that even with the Principle of Irrelevance examples of non-uniqueness of fiducial distributions exist.     

Large scale communication networks—Design and analysis

The paper discusses the problem of design and analysis of large scale communication systems. An iterative process, composed of a minimum cost network design algorithm and a network performance algorithm, is presented for the solution of these problems. Computational considerations, using these algorithms, are discussed.     

Survival Analysis For A Sequenced Clinical Trial With Covariates

In this paper we discuss the survival analysis for a clinical trial in which treatment categories and general prognostic data are realised at different stages during a patient's survival time. In the light of possible strategies for the parsimonious modelling of such data, a corresponding sequence of illustrative analyses is presented. Detailed results are given for a weighted least squares analysis and these generally agree with those obtained by maximum likelihood.     

A case of mistaken identity? Debating the dilemmas of street-level bureaucracy with Musil et al.

Lipsky's Street-level Bureaucracy (Russell Sage Foundation, New York, 1980 Lipsky, M. 1980. Street-level Bureaucracy: The Dilemmas of Individuals in Public Service, New York: Russell Sage Foundation.  [Google Scholar]) has exerted a strong influence on the study of public service organisations. There has been a growing interest in using this perspective to understand the organisational context of social work and Musil et al.'s article in the EJSW (2004, ‘Do social workers avoid the dilemmas of work with clients?’, European Journal of Social Work, vol. 7, no. 3, pp. 305–319) reflects this interest. Musil et al. argue that it is possible to identify two forms of practitioner response to the constraints of street-level bureaucracies: adapting working practices in ways that disadvantage service users or challenging working conditions in order to achieve more professionally acceptable practice. Their contribution to the debate is helpful, particularly with regard to their identification of responses by practitioners that seek to advance the interests of service users. However, we view their approach as constrained by lack of consideration of the construction of social work roles within particular street-level bureaucracies. We suggest that Lipsky's work should be approached as a tentative analytic framework, rather than as a fixed model and we argue that a productive approach to research on social workers as street-level bureaucrats is conjunctural analysis. Such analysis examines the contexts, circumstances and statuses of practitioners and how these factors shape the specific forms of street-level practice that operate in particular organisational settings. We illustrate this in our discussion of the factors that are likely to have had a bearing on the two practice settings used as case studies by Musil et al.     

Hellinger distance as a penalized log likelihood

The present paper studies the minimum Hellinger distance estimator by recasting it as the maximum likelihood estimator in a data driven modification of the model density. In the process, the Hellinger distance itself is expressed as a penalized log likelihood function. The penalty is the sum of the model probabilities over the non-observed values of the sample space. A comparison of the modified model density with the original data provides insights into the robustness of the minimum Hellinger distance estimator. Adjustments of the amount of penalty leads to a class of minimum penalized Hellinger distance estimators, some members of which perform substantially better than the minimum Hellinger distance estimator at the model for small samples, without compromising the robustness properties of the latter.     

Notes on likelihood intervals and profiling

In many applications, decisions are made on the basis of function of parameters g(θ). When the value of g(theta;) is calculated using estimated values for te parameters, its is important to have a measure of the uncertainty associated with that value of g(theta;). Likelihood ratio approaches to finding likelihood intervals for functions of parameters have been shown to be more reliable, in terms of coverage probability, than the linearization approach. Two approaches to the generalization of the profiling algorithm have been proposed in the literature to enable construction of likelihood intervals for a function of parameters (Chen and Jennrich, 1996; Bates and Watts, 1988). In this paper we show the equivalence of these two methods. We also provide and analysis of cases in which neither profiling algorithm is appropriate. For one of these cases an alternate approach is suggested Whereas generalized profiling is based on maximizing the likelihood function given a constraint on the value of g(θ), the alternative algorithm is based on optimizing g(θ) given a constraint on the value of the likelihood function.     

Technology as a Weapon in Domestic Violence: Responding to Digital Coercive Control

ABSTRACT

Technology-facilitated domestic violence is an emerging issue for social workers and other service providers. The concept of Digital Coercive Control (DCC) is introduced to highlight the particular nature and impacts of technology-facilitated abuse in the context of domestic violence. While practitioners have become more adept at working with women experiencing DCC, there is still little known about its dynamics and whether this violence requires a change in current service responses. This article explores findings from survey research conducted with 546 Australian domestic violence practitioners about the ways perpetrators use technology as part of their abuse tactics. The findings demonstrate that DV practitioners believe perpetrator use of technology is extensive and has significant impacts on the safety of clients. A major dilemma faced by practitioners is how to promote and facilitate client safety from DCC while still enabling safe use of technology so clients can remain connected to family, friends, and community.

IMPLICATIONS

• The use of digital technology in domestic violence creates a significant practice issue for Australian domestic violence practitioners.

• The development of a practice framework for responding to digital coercive control may assist practitioners to highlight the risks posed by this abuse, while still enabling women and children the freedom to participate in the digital realm.

     

THERAPIST PHYSICAL ATTRACTIVENESS: AN UNEXPLORED INFLUENCE ON CLIENT DISCLOSURE

Existing research indicates that clients perceive facially attractive therapists as more competent, trustworthy, genuine, and effective than less attractive therapists. No Studies exist to help explain how the therapist's attractiveness influences a client's self-disclosure. Participants (n = 241) were randomly assigned to one of eight experimental groups to test the interaction of the therapist's attractiveness, client's gender, the nature of presenting problem, and the client's comfort with disclosing in a hypothetical couple therapy scenario. Analysis of variance procedures established that most participants reported feeling more comfortable disclosing a benign (communications) problem than a potentially embarrassing (sexual) problem, and more comfortable disclosing problem to an attractive than to a less attractive female therapist. Therapists are encouraged to understand the power attractiveness may have in their own and their client's lives