THE DOGIT ORDERED GENERALIZED EXTREME VALUE MODEL

This paper introduces the Dogit ordered generalized extreme value (DOGEV) model, for handling discrete variables that are ordered and heterogeneous. In particular, the DOGEV model can be applied to questionnaire responses on questions allowing a discrete set of ordered possible responses, where there is a preference for particular responses and possibly multiple modes in the data. The DOGEV model combines a model for choice set generation with the ordered generalized extreme value model. The paper illustrates the model using two empirical examples: a model of inflationary expectations and a model for students' evaluations of teaching.     

In the Frame: photovoice and mothers with learning difficulties

This paper presents the results of a photovoice project involving mothers with learning difficulties. Photovoice is a technique that challenges the established politics of representation by putting people in charge of how they document their own lives. The authors describe how the project was carried out and the problems they encountered. Analysis of the content of the mothers' photo albums in the context of their own personal stories throws light on both their individual lives and their collective experience. The results challenge discriminatory views of the women as different mums.     

'I have got my life back': users' experience of direct payments

After years of activism by disabled people's organizations, the Community Care (Direct Payments) Act 1996 made Direct Payment (DP) schemes a reality. Proponents of DP argue that it allows greater freedom and control for those people using it, but as these programmes only came into effect in 1997, few studies have tried to substantiate these claims. This paper reports on a two-year evaluation of two DP schemes in Wales. Using primarily users' feedback the paper focuses on the effects of DP and difficulties encountered, as well as why people chose—or did not choose—DP in the first place. User responses indicate a broad range of beneficial outcomes, including improved self-esteem, increased control over lives, deeper and more lasting relationships, and new interpersonal, vocational and lifestyle opportunities, as a result of the greater flexibility and freedom of choice enabled by DP. Family carers expressed similar satisfaction with DP schemes, also citing greater freedoms as a result of increased flexibility. While some potential users expressed concern over the administration of a DP scheme, users found that, with support from a user driven Independent Living Scheme, the administrative burden was manageable, and that ultimately the DP scheme was a welcome approach to support.     

Long-term safety of stimulant medications used to treat children with ADHD

Attention-deficit/hyperactivity disorder (ADHD) is a common mental health condition that affects children, adolescents, and adults. Because it is a chronic condition and typically requires effective treatment for several years or more, information on the benefits and risks of long-term pharmacotherapy for ADHD is vital to clinicians. This article reviews the emerging literature on the safety of long-term stimulant medications in ADHD-the most commonly prescribed medications for this condition. Common side effects, including cardiovascular effects, growth effects, and tics, are discussed, as well as treatment of children younger than age 6 and evidence of carcinogenic and reproductive effects.     

Meditation lowers stress and supports forgiveness among college students: a randomized controlled trial

OBJECTIVE AND PARTICIPANTS: The authors evaluated the effects on stress, rumination, forgiveness, and hope of two 8-week, 90-min/wk training programs for college undergraduates in meditation-based stress-management tools. METHODS: After a pretest, the authors randomly allocated college undergraduates to training in mindfulness-based stress reduction (MBSR; n = 15), Easwaran's Eight-Point Program (EPP; n = 14), or wait-list control (n = 15). The authors gathered pretest, posttest, and 8-week follow-up data on self-report outcome measures. RESULTS: The authors observed no post-treatment differences between MBSR and EPP or between posttest and 8-week follow-up (p > .10). Compared with controls, treated participants (n = 29) demonstrated significant benefits for stress (p < .05, Cohen's d = -.45) and forgiveness (p < .05, d = .34) and marginal benefits for rumination (p < .10, d = -.34). CONCLUSIONS: Evidence suggests that meditation-based stress-management practices reduce stress and enhance forgiveness among college undergraduates. Such programs merit further study as potential health-promotion tools for college populations.     

Decision Making for Group Risk Reduction: Dealing with Epistemic Uncertainty

Group risk is usually represented by FN curves showing the frequency of different accident sizes for a given activity. Many governments regulate group risk through FN criterion lines, which define the tolerable location of an FN curve. However, to compare different risk reduction alternatives, one must be able to rank FN curves. The two main problems in doing this are that the FN curve contains multiple frequencies, and that there are usually large epistemic uncertainties about the curve. Since the mid 1970s, a number of authors have used the concept of “disutility” to summarize FN curves in which a family of disutility functions was defined with a single parameter controlling the degree of “risk aversion.” Here, we show it to be risk neutral, disaster averse, and insensitive to epistemic uncertainty on accident frequencies. A new approach is outlined that has a number of attractive properties. The formulation allows us to distinguish between risk aversion and disaster aversion, two concepts that have been confused in the literature until now. A two‐parameter family of disutilities generalizing the previous approach is defined, where one parameter controls risk aversion and the other disaster aversion. The family is sensitive to epistemic uncertainties. Such disutilities may, for example, be used to compare the impact of system design changes on group risks, or might form the basis for valuing reductions in group risk in a cost‐benefit analysis.     

A Bayes Linear Bayes Method for Estimation of Correlated Event Rates

Typically, full Bayesian estimation of correlated event rates can be computationally challenging since estimators are intractable. When estimation of event rates represents one activity within a larger modeling process, there is an incentive to develop more efficient inference than provided by a full Bayesian model. We develop a new subjective inference method for correlated event rates based on a Bayes linear Bayes model under the assumption that events are generated from a homogeneous Poisson process. To reduce the elicitation burden we introduce homogenization factors to the model and, as an alternative to a subjective prior, an empirical method using the method of moments is developed. Inference under the new method is compared against estimates obtained under a full Bayesian model, which takes a multivariate gamma prior, where the predictive and posterior distributions are derived in terms of well‐known functions. The mathematical properties of both models are presented. A simulation study shows that the Bayes linear Bayes inference method and the full Bayesian model provide equally reliable estimates. An illustrative example, motivated by a problem of estimating correlated event rates across different users in a simple supply chain, shows how ignoring the correlation leads to biased estimation of event rates.     

Identifying key performance indicators in food technology contract R&D

Innovating companies increasingly rely on outsourcing to Contract Research Organisations (CROs) for their Research and Development (R&D), which are largely understudied. This paper presents the outcome of a case study in the field of food technology contract research, identifying context specific Key Performance Indicators (KPIs) for a CRO. KPIs were identified with a modified version of the Wageningen Innovation Assessment Tool, with which 72 finished successful and less successful projects were analysed. We developed a benchmarking tool to evaluate starting or running innovation project quality, which allows for direct, in situ project improvements by project leaders at CROs.