A model for predicting dating violence: anxious attachment, angry temperament, and need for relationship control

Structural equation modeling (SEM) was used to test a model incorporating anxious attachment, angry temperament, and attempts to control one's partner as predictors of the severity and frequency of dating violence. To date, these concepts have not been clearly established as having direct or indirect effects on dating violence. It was hypothesized that anxious attachment and angry temperament would influence the need for and attempts to control one's partner which, in turn, would predict a person's actual use of force. College students (213 males; 199 females) completed measures assessing these constructs. Cross-validation was accomplished through using two successive freshmen samples. Statistics indicated the application of the model fit well to both samples. All specified paths were significant except for the direct path from anxious attachment to need for control in the second sample. While exploratory, this model seemed satisfactory for explaining potentially causal relationships of attachment, anger, and attempts to control one's partner leading to dating violence.     

Many a slip between cup and lip. Process evaluation of a program to promote and support evidence-based public health practice

The main aims of this study are to document whether an intervention for promoting evidence-based public health practice had been delivered as intended and to explore the reasons for its lack of impact. Process data from the implementation of the program and data from interviews with 40 public health physicians are analyzed. Although they expressed satisfaction with the service, the doctors experienced the program as rather irrelevant for their daily work. They did not perceive that they dealt with many issues relevant for the use of research information, and if they did, referring to research would not make any difference to the way others perceived their advice. There is a need to develop more overlying strategies for integrating evidence into decision making than addressing the individual level.     

Statistical modeling for Bayesian extrapolation of adult clinical trial information in pediatric drug evaluation

Children represent a large underserved population of “therapeutic orphans,” as an estimated 80% of children are treated off‐label. However, pediatric drug development often faces substantial challenges, including economic, logistical, technical, and ethical barriers, among others. Among many efforts trying to remove these barriers, increased recent attention has been paid to extrapolation; that is, the leveraging of available data from adults or older age groups to draw conclusions for the pediatric population. The Bayesian statistical paradigm is natural in this setting, as it permits the combining (or “borrowing”) of information across disparate sources, such as the adult and pediatric data. In this paper, authored by the pediatric subteam of the Drug Information Association Bayesian Scientific Working Group and Adaptive Design Working Group, we develop, illustrate, and provide suggestions on Bayesian statistical methods that could be used to design improved pediatric development programs that use all available information in the most efficient manner. A variety of relevant Bayesian approaches are described, several of which are illustrated through 2 case studies: extrapolating adult efficacy data to expand the labeling for Remicade to include pediatric ulcerative colitis and extrapolating adult exposure‐response information for antiepileptic drugs to pediatrics.     

Improving Weight of Evidence Approaches to Chemical Evaluations

Federal and other regulatory agencies often use or claim to use a weight of evidence (WoE) approach in chemical evaluation. Their approaches to the use of WoE, however, differ significantly, rely heavily on subjective professional judgment, and merit improvement. We review uses of WoE approaches in key articles in the peer‐reviewed scientific literature, and find significant variations. We find that a hypothesis‐based WoE approach, developed by Lorenz Rhomberg et al., can provide a stronger scientific basis for chemical assessment while improving transparency and preserving the appropriate scope of professional judgment. Their approach, while still evolving, relies on the explicit specification of the hypothesized basis for using the information at hand to infer the ability of an agent to cause human health impacts or, more broadly, affect other endpoints of concern. We describe and endorse such a hypothesis‐based WoE approach to chemical evaluation.     

Job tenure as a moderator of stressor–strain relations: A comparison of experienced and new-start teachers

Abstract

Few studies have investigated the extent to which the effects of work stressors on strain change over the duration of employees’ job incumbencies. Drawing on Karasek's (1979) job demands-control-support model, the current study examined the moderating influence of job tenure (experienced versus novice worker status) on stressor-strain relations. Using a sample of 422 experienced and 248 beginning schoolteachers in Australia, job factors and job strain were assessed on two occasions, 8 months apart. Analyses revealed that the three job factors were each correlated with strain as predicted, although the (elusive) demands×control interaction effect was evidenced amongst “new-start” teachers only. The findings provide mixed support for Karasek's model, and draw attention to the need to consider the role of job tenure and career stage in studies of work stress, as work stressor-strain effects may be routinely underestimated in research that ignores these factors.     

Self-Solicited Feedback: Effects of Hourly Pay and Individual Monetary Incentive Pay

The frequency of feedback solicitation under hourly pay and individual monetary incentive pay conditions was examined. A between-subjects design was used with 30 college students in the two groups. Participants attended three experimental sessions and entered the cash value of simulated bank checks presented on a computer screen. Performance was higher for individuals who were paid incentives; however, participants who were paid incentives did not self-solicit feedback more than those who were paid hourly. Rather, participants in both groups solicited feedback quite frequently. Additionally, performance was not related to feedback solicitation. These results suggest that the incentives did not make feedback more reinforcing even though the incentives were functional rewards and the feedback was correlated with the amount of pay earned: the better the feedback, the more pay participants earned. The results also support the position that it may be necessary to pair objective feedback with an evaluative component to enhance performance.     

Measuring the complexity of generalized linear hierarchical models

Measuring a statistical model's complexity is important for model criticism and comparison. However, it is unclear how to do this for hierarchical models due to uncertainty about how to count the random effects. The authors develop a complexity measure for generalized linear hierarchical models based on linear model theory. They demonstrate the new measure for binomial and Poisson observables modeled using various hierarchical structures, including a longitudinal model and an areal‐data model having both spatial clustering and pure heterogeneity random effects. They compare their new measure to a Bayesian index of model complexity, the effective number p_D of parameters (Spiegelhalter, Best, Carlin & van der Linde 2002); the comparisons are made in the binomial and Poisson cases via simulation and two real data examples. The two measures are usually close, but differ markedly in some instances where p_D is arguably inappropriate. Finally, the authors show how the new measure can be used to approach the difficult task of specifying prior distributions for variance components, and in the process cast further doubt on the commonly‐used vague inverse gamma prior.     

Movers and Stayers in Care Management in Adult Services

Professional biographies of care managers in the mid-ninetiesand, seven years on, their profiles and career choice are thefocus of this article. The work draws on two linked studiesbased on adult services in two social services departments.The profile of those who stayed in post and those who movedon raises issues for the social work profession, for managersand for policy makers. Those who stayed constitute an experiencedworkforce of middle-aged, predominantly female practitionerswith mixed views about the changing nature of the work. Thosewho moved include a group of females who became managers bydefault. The work raises issues concerning work pressures, genderprofiles within an ageing workforce, and succession planning.The findings link to more extensive workforce studies and contributetowards debates concerning the occupational identity and thefuture of qualified practitioners within a human services landscapewhich is constantly being reshaped within a culture of new managerialism.     

Outcomes assessment of role-play scenarios for teaching responsible conduct of research

We describe the summative assessment of role-play scenarios that we previously developed to teach central topics in the responsible conduct of research (RCR) to graduate students in science and engineering. Interviews with role-play participants, with participants in a case discussion training session, and with untrained students suggested that role-playing might promote a deeper appreciation of RCR by shifting the focus away from wanting to simply "know the rules." We also present the results of a think-aloud case analysis study and describe the development of a behaviorally-anchored rating scale (BARS) to assess participants' case analysis performance.