The nature, extent and determinants of violence against psychiatric personnel

Violence against psychiatric staff seems to be on the increase. Such abuse can lead to mental health consequences for the staff and a reluctance to be closely involved with patients. Few Swedish investigations have examined violence against mental nurses and psychiatrists, or undertaken comparative studies between them. In this study we examined the extent, nature and determinants (i.e. risk factors) of violence against psychiatric nurses (n = 731) and psychiatrists (n = 320) working in the eight health care districts of Stockholm. These caregivers were assessed cross-sectionally by means of a questionnaire covering various areas (e.g. violence and work environment). The majority of the participants (85%) reported having been exposed to violence during their careers, with 57% being victimized in the past 12 months. Physical violence was common, and factors such as negative attitudes to work and diminished sense of autonomy were associated with an increased vulnerability to violence. Nurses and psychiatrists did not differ in violence variables. In spite of the weaknesses of the design (cross-sectional self-selecting sample), this study corroborates previous findings and identifies personal factors associated with violence that have received little attention in the literature (e.g. lack of respect for the organization of care).     

Bank Loan Officers' Perceptions of Business Owners: The Role of Gender

There is a widely held belief that banks may be discriminating against female business owners. This study was designed to explore the perceptions held by bank loan officers of male and female business owners, using Bourdieu's theory of practice and Kelly's personal construct methodology. The research literature might lead to an expectation that the characteristics of the business owners would be relatively homogenous but that men and women business owners would be construed differently (for example women might be seen to lack drive). However, the results demonstrate heterogeneity in the constructs held by bank loan officers, and a particular concern with the character of the business owner. Significant gender differences were observed in only 20 of the 325 constructs elicited from 35 bank loan officers. Female bank loan officers were as likely as male bank loan officers to draw gender distinctions between business owners. Detailed multivariate analyses confirmed no evidence of systematic gender differences in the constructs held by bank loan officers of business owners.     

Using dialogue to build organization–public relationships,engage publics,and positively affect organizational outcomes

The study and practice of public relations continues to explore the many benefits accrued when organizations adopt a relational approach to public relations management. One area that is relatively unexplored in the relationship management literature is the role of dialogue in organization–public relationships. Historically, scholars have focused dialogic research on either interaction – where an organization and a public exchange information – or a debate – where organizations and public engage in a process of statement counterstatement. The current investigation explores the notion of dialogue and examines the ways in which relationship attitudes and dialogue may positively affect key public member evaluations and behavioral intent. The results suggest that both relationship attitudes and dialogue positively affect respondent evaluations of and intended behaviors toward an organization. The implications of the findings are presented and suggestions for managing organization–public relationships are considered.     

Hierarchical Generalized Linear Models and Frailty Models with Bayesian Nonparametric Mixing

This paper proposes Bayesian nonparametric mixing for some well-known and popular models. The distribution of the observations is assumed to contain an unknown mixed effects term which includes a fixed effects term, a function of the observed covariates, and an additive or multiplicative random effects term. Typically these random effects are assumed to be independent of the observed covariates and independent and identically distributed from a distribution from some known parametric family. This assumption may be suspect if either there is interaction between observed covariates and unobserved covariates or the fixed effects predictor of observed covariates is misspecified. Another cause for concern might be simply that the covariates affect more than just the location of the mixed effects distribution. As a consequence the distribution of the random effects could be highly irregular in modality and skewness leaving parametric families unable to model the distribution adequately. This paper therefore proposes a Bayesian nonparametric prior for the random effects to capture possible deviances in modality and skewness and to explore the observed covariates' effect on the distribution of the mixed effects.     

Staples,links, and poles in the construction of regional development theories

The developmental trajectories of extractive economies differ systematically from those of industrial economies. Analysis of these differences is difficult, because the specific characteristics and location in space of particular extracted resources distinguish extractive economies from each other far more than commodities produced and location distinguish industrial economies. The peculiar distoritions of Harold Innis's studies of particular staples as these were incorporated into general statements about regional economic development illustrate some of the tensions between ideographic and nomothetic goals in the analysis of regional economies and the dangers of resolving these tensions by collapsing the particular into the general. Subsequent use of these regional economic development models to obscure problems of particular resource extractive projects illuminates some of the unintended practical consequences of theoretical errors.     

A Full Bayesian Non-parametric Analysis Involving a Neutral to the Right Process

Implementation of a full Bayesian non-parametric analysis involving neutral to the right processes (apart from the special case of the Dirichlet process) has been difficult for two reasons: first, the posterior distributions are complex and therefore only Bayes estimates (posterior expectations) have previously been presented; secondly, it is difficult to obtain an interpretation for the parameters of a neutral to the right process. In this paper we extend Ferguson & Phadia (1979) by presenting a general method for specifying the prior mean and variance of a neutral to the right process, providing the interpretation of the parameters. Additionally, we provide the basis for a full Bayesian analysis, via simulation, from the posterior process using a hybrid of new algorithms that is applicable to a large class of neutral to the right processes (Ferguson & Phadia only provide posterior means). The ideas are exemplified through illustrative analyses.     

Naming the Beast: Defining and Classifying Service Innovations in Social Policy

Over the last decade, the search for innovationhas become a core component of much social policyformulation and implementation. This search, however,has often been undertaken with little attempt to define the actual nature of innovation or to classifyits different modes. This paper reports recent researchwhich has developed a typologyof organizational changewithin which to situate and analyze innovation in social policy. It argues that thistypologyis an essential tool both for socialpolicymakers and for those concerned with itsanalysis.