Parent Involvement Practices in Child Protection: A Matter of Know-How and Attitude

Modern view of child protection services implies that to help young people, simply intervening on their behalf is not sufficient. It suggests that involving parents in the assistance process is essential in order to ensure that they are most likely to play their role as parents to their children in the fullest possible way. Although several articles have dealt with the issue of parent involvement, very few have attempted to document the practices used by practitioners to encourage such involvement. This article presents the findings of a study on child protection practices for involving parents in a child protection context. It is exploratory in nature, and uses a qualitative methodology. The study population is made up of 38 child protection service workers. An analysis of the practitioners’ discourse reveals that the behaviour and attitudes used by them to encourage parent involvement are very diverse. There also appear to be key moments in securing their involvement, that is, making contact, setting objectives and means of action, and applying the case plan. In addition to corroborating earlier studies on the issue of parent involvement, our findings indicate that the majority of the caseworkers interviewed practice an approach that aims to empower clients.Funding of this project was provided by le Fonds Richelieu de recherche sur l’enfance.Marie-Christine Saint-Jacques, Geneviève Lessard, and André Beaudoin are affiliated with School of Social Work, Laval University, Quebec, Canada. Sylvie Drapeau is affiliated with Department of Foundations and Practices in Education, Laval University, Quebec, Canada.     

Generalized externality games

Externality games are studied in Grafe et al. (1998, Math. Methods Op. Res. 48, 71). We define a generalization of this class of games and show, using the methodology in Izquierdo and Rafels (1996, 2001, Working paper, Univ Barcelona; Games Econ. Behav. 36, 174), some properties of the new class of generalized externality games. They include, among others, the algebraic structure of the game, convexity, and their implications for the study of cooperative solutions. Also the proportional rule is characterized for this class of games.     

Regression Analysis of Multivariate Fractional Data

The present article discusses alternative regression models and estimation methods for dealing with multivariate fractional response variables. Both conditional mean models, estimable by quasi-maximum likelihood, and fully parametric models (Dirichlet and Dirichlet-multinomial), estimable by maximum likelihood, are considered. A new parameterization is proposed for the parametric models, which accommodates the most common specifications for the conditional mean (e.g., multinomial logit, nested logit, random parameters logit, dogit). The text also discusses at some length the specification analysis of fractional regression models, proposing several tests that can be performed through artificial regressions. Finally, an extensive Monte Carlo study evaluates the finite sample properties of most of the estimators and tests considered.     

Systemic approach to supply chain management through the viable system model and the theory of constraints

In today’s environment, Supply Chain Management (SCM) takes a key role in business strategy. A major challenge is achieving high customer service level under a reasonable operating expense and investment. The traditional approach to SCM, based on local optimisation, is a proven cause of meaningful inefficiencies – e.g. the Bullwhip Effect – that obstruct the throughput. The systemic (holistic) approach, based on global optimisation, has been shown to perform significantly better. Nevertheless, it is not widely expanded, since the implementation of an efficient solution requires a suitable scheme. Under these circumstances, this paper proposes an integrative framework for supply chain collaboration aimed at increasing its efficiency. This is based on the combined application of the Beer’s Viable System Model (VSM) and the Goldratt’s Theory of Constraints (TOC). VSM defines the systemic structure of the supply chain and orchestrates the collaboration, while TOC implements the systemic behaviour – i.e. integrate processes – and define performance measures. To support this proposal, we detail its application to the widely used Beer Game scenario. In addition, we discuss its implementation in real supply chains, highlighting the key points that must be considered.     

A Gaussian alternative to using improper confidence intervals

The problem posed by exact confidence intervals (CIs) which can be either all-inclusive or empty for a nonnegligible set of sample points is known to have no solution within CI theory. Confidence belts causing improper CIs can be modified by using margins of error from the renewed theory of errors initiated by J. W. Tukey—briefly described in the article—for which an extended Fraser's frequency interpretation is given. This approach is consistent with Kolmogorov's axiomatization of probability, in which a probability and an error measure obey the same axioms, although the connotation of the two words is different. An algorithm capable of producing a margin of error for any parameter derived from the five parameters of the bivariate normal distribution is provided. Margins of error correcting Fieller's CIs for a ratio of means are obtained, as are margins of error replacing Jolicoeur's CIs for the slope of the major axis. Margins of error using Dempster's conditioning that can correct optimal, but improper, CIs for the noncentrality parameter of a noncentral chi-square distribution are also given.     

Building evaluation capacity in Spain: a case study of rural development and empowerment in the European Union

The development of European Community administrative authority has greatly influenced the development of an evaluation culture among the southern and central member states of the European Union. The present case study from Spain provides an example of this diffusion through the use of an empowerment evaluation approach to build evaluation capacity within the context of rural development. The study focuses on the evaluation process over a 10-year period of three local development programs run by three local partnerships created in the rural areas of the Madrid region through the European LEADER initiative. Critical components of empowerment evaluation are discussed, as well as the impact, limitations, difficulties, and applicability of the approach to rural development in the European Union. Conclusions are presented concerning evaluation capacity building and the development of an evaluation culture.     

Happiness and capability: Introduction to the symposium

The aim of this symposium is to move beyond the established, narrow measures of well-being. It does so by bringing together insights from the happiness approach and the capability approach, both of which are at the forefront of theorizing on welfare in economics. The reason is that the connection happiness–capability is extremely stimulating and potentially able of opening up a very promising field of research. For this purpose, the symposium consists of overview papers by leading scholars and practitioners and of papers dealing with key conceptual and empirical issues on the frontier of combined happiness and capability research.     

Different Roles and Viewpoints of Scientific Experts in Advising on Environmental Health Risks

Environmental health risks are often complex, largescale, and uncertain. The uncertainties inherent in these problems permit differences among experts in the appraisal of risks. This raises the question of whether different expert roles exist and, if so, how this affects the policy advice that is given. Here, we present a pilot study of the different roles and viewpoints that can be discerned among scientific experts in the Netherlands. Q methodology was used to empirically explore existing theoretical treatises on different expert roles. In total, 26 electromag­netic field (EMF) experts and 21 particulate matter (PM) experts participated. The responses were analyzed separately for EMF and PM respondents using Q factor analysis. In both the EMF and PM domain, three different expert roles were identified. This suggests that particular expert roles depend on the specific environmental health risk. The results indicate that different expert roles exist among scientists who provide policy advice on environmental health risks. This empirical study adds new data and insights to the literature on expert roles. The results of this study are relevant for the selection and composition of expert committees and the interpretation of expert advice.