Calling for accounts: numbers, monsters and membership1

This article questions how accounts are marked. In asking why some accounts ‘pass muster’ and others fail, the analysis brings into focus the extent to which membership work helps hold the social and the technical apart. The analysis contrasts a long insistence on narrative forms of interaction as defining conditions of co‐presence with numerical regimes in which there is an implicit deletion of social contact under fashionable slogans like ‘action at a distance’. Taking numbers to act as ‘bearers of culture’, the paper contests the idea that numerical forms of accountability delete the membership work traditionally associated with narrative forms of account. Attending closely to ‘occasions’ in which it is appropriate for members to deploy numerical accounts rather than verbal accounts, the argument challenges the idea that a face to face negotiation of social order has been superceded by a pervasive use of perfonnance targets. The article begins by exploring how ‘calls to account’ are created by a reporting of adverse budget variatices within organizations. Using an extended example to consider how such ‘gaps’ affect a manager's conduct towards a spouse who is sick, the analysis shows how the use of numbers becomes crucial to sustaining one's affiliation across a range of memberships. As illustrated, the rehabilitation of numerical artefacts into conceptions of the social greatly expands possibilities for interaction beyond that anticipated by the sociological ideal of ‘co‐presence’.     

The spokane heart study: weibull regression and coronary artery disease

Coronary artery calcium is a marker of coronary artery disease and measures the progression of atherosclerosis. It is measured by electron beam computed tomography, and the measured amount of coronary artery calcium is highly skewed to the right and left censored. The distribution of coronary artery calcium appears to be Weibull. We propose a Weibull regression model and we analyze the data using these techniques. Our analysis is based on data from the Spokane Heart Study, which is a cohort of about a thousand subjects that are assessed every two years for coronary artery calcium and risk factors of coronary artery disease. The major focus of the heart study is to determine the natural history of atherosclerosis in its early phase, and we analyze the data as a cross-sectional study with 859 subjects. We would also like to highlight the use of Weibull regression techniques in situations like this, where we have extreme right skewed data. Our main emphasis will be on examining the effect of the traditional risk factors of age, gender, lipid profile (cholesterol and HDL), patient history of lipid abnormality, hypertension, and smoking, and other family history risks on coronary artery calcium. We found that the most important factors influencing the disease were age, sex, and patient history of smoking and lipid abnormality.     

Structural changes in multivariate regression models

This study generalizes the work of chin choy and Broemeling (1980) who investigated the change in the regression parameters of univariate linear models.

The marginal posterior distributions of the change point, the regression matrices,and the precision matrix are found with the use of a proper multivariate normal-Wishart distribution for the parameters of the model.

A numerical study is undertaken in order to gain some insight into the effect that changes in sample size and certain parameter values have on these marginal posterior distributions.     

An approximation to the poly-t distribution

This investigation examines an approximation to the poly-t distribution, which often occurs in the Bayesian analysis of a linear model. The approximation allows one to compute the mean vector and dispersion matrix of any k/0 multivariate poly-t distribution in such a way that only univariate and bivariate numerical integrations are required. A numerical study depicts the advantages and disadvantages of the approximation.     

The Animal Rights Movement in Theory and Practice: A Review of the Sociological Literature

Traditionally, philosophers have had most to say about the ethics of our treatment of non‐human animals (hereafter animals); it is only in recent years that social scientists have engaged with issues concerning humans and other animals. However, in the sociological literature and more generally in the emerging field of Human–Animal Studies (HAS), evidence of interest in the animal protection movement is slight. This review of Eliasian theory, Marxist realism, feminism, ecofeminism, and social constructionist theory – along with key activist approaches to animal activism and advocacy – indicates the theoretical richness of the topic that is nonetheless empirically poor. The animal protection movement is referred to here simply as the animal movement or where appropriate, as one of its three strands – animal welfare, animal liberation and animal rights. The article concludes with a discussion of how social movement theory (the ‘why’) and practice (the ‘how’) might be enhanced by social movement scholars working in collaboration with animal activists.     

Researching Vulnerable Groups: Ethical Issues and the Effective Conduct of Research in Local Authorities

The Data Protection Act 1998 and Research Governance Frameworkfor Health and Social Care (Department of Health, 2003a) havebrought consideration of ethical issues in the conduct of researchinto sharper focus. This paper, based primarily on the authors’experiences of conducting research on children in need and outcomesfor vulnerable children, examines the impact these changes havehad on the research process. The difficulties experienced byresearchers in gaining access to research participants in orderto develop evidence-based policy and practice are explored.Finally, the paper outlines some practical steps that can betaken to facilitate the effective conduct of research.     

Student bodies, past and present

This article examines how the field of college health has evolved over time to address the needs of an increasingly diverse student population. The central argument is that college and university health programs developed in conjunction with shifting standards of medical care and public health practices in the United States. The author reviews the role of college health programs as public health agencies for campus communities, and describes contemporary public health challenges facing college campuses. She shows how the history of college health is intertwined with the history of diversity in higher education. In particular, the author outlines how the growth of health services made higher education accessible to women, racial minorities, veterans, and persons with disabilities.     

Parameter changes in a regression model with autocorrelated errors

This study is a Bayesian analysis of a regression model with autocorrelated errors which exhibits one change in the regression parameters and where the autocorrelation parameter is unknown

Using a normal-gamma prior for all the parameters except the shift point which has a uniform distribution, the marginal posterior distribution of the regression parameters, the shift point and the precision of the errors is found. It is important to know where the shift occurred thus the main emphasis is with the posterior distribution of the shift point

A numerical study assesses the effect of the values of the shift point and the magnitude of the shift on the posterior distribution of the shift point. The posterior distribution of the shift point is more sensitive to change, which occurs in the middle of the observations than to one which occurs at an extreme of the data.