Can cities be held responsible for early school leaving? Evidence from the Netherlands

This paper examines if ‘naming and shaming’ is an effective tool to increase accountability in school dropout for cities with disadvantaged student populations. It argues that a comparison with other cities might be unfair if regional and population characteristics differ. It discusses the example of two Dutch new towns. The new town policy deliberately attracted low- and medium-income households in the past, such that today the population of those cities differs from other cities. We use a matching analysis to account for observed differences in population and regional characteristics. The results point out that ‘naming and shaming’ may be a dangerous policy to increase accountability: early school leaving differences are driven, to a large extent, by observed differences in population and regional characteristics.     

Lack of reciprocity among Dutch teachers: Validation of reciprocity indices and their relation to stress and well-being

This research presents the results of two related studies on the convergent and construct validity of three measures of reciprocity in exchange relationships at work. In Study 1, 71 Dutch teachers were interviewed about their specific investments and outcomes in the exchange relationships with their students, colleagues and school. ANOVA revealed that they reported significantly more investments than outcomes, and that the number of reported investments and outcomes mentioned varied as a function of the type of exchange relationship. Building on these results, multi-item scales were created to assess reciprocity at a detailed level for each of the three exchange relationships. Study 2 validated these specific reciprocity measures by relating them to two global assessments of reciprocity (convergent validity) as well as to measures of job stress and well-being (construct validity). LISREL-analysis of data obtained from a further sample of 224 teachers revealed that for each type of exchange relationship there were significant, consistent and meaningful relationships among the three reciprocity measures. Further, hierarchical regression analysis showed that the reciprocity measures were differentially related to job stressors and measures of well-being. Implications are discussed.     

The Political Role of Service Delivery in State‐Building: Exploring the Relevance of European History for Developing Countries

Concerns about failed and fragile states have put state‐ and nation‐building firmly on the academic and policy agenda, but the crucial role of public services in this process has remained underexplored. The 1960s and ‘70s generated a substantial set of literature that is largely missing from current writing. It identified state penetration, standardisation and accommodation as key processes in the state‐ and nation‐building sequence. This article analyses these three processes in Western Europe in the seventeenth to nineteenth centuries, and the role of public services therein, to explore how they may help us to understand the success and failure of state‐ and nation‐building in developing countries and fragile states.     

Expert Study to Select Indicators of the Occurrence of Emerging Mycotoxin Hazards

This article describes a Delphi‐based expert judgment study aimed at the selection of indicators to identify the occurrence of emerging mycotoxin hazards related to Fusarium spp. in wheat supply chains. A panel of 29 experts from 12 European countries followed a holistic approach to evaluate the most important indicators for different chain stages (growth, transport and storage, and processing) and their relative importance. After three e‐mailing rounds, the experts reached consensus on the most important indicators for each of the three stages: wheat growth, transport and storage, and processing. For wheat growth, these indicators include: relative humidity/rainfall, crop rotation, temperature, tillage practice, water activity of the kernels, and crop variety/cultivar. For the transport and storage stage, they include water activity in the kernels, relative humidity, ventilation, temperature, storage capacity, and logistics. For wheat processing, indicators include quality data, fraction of the cereal used, water activity in the kernels, quality management and traceability systems, and carryover of contamination. The indicators selected in this study can be used in an identification system for the occurrence of emerging mycotoxin hazards in wheat supply chains. Such a system can be used by risk managers within governmental (related) organizations and/or the food and feed industry in order to react proactively to the occurrence of these emerging mycotoxins.     

Identifying potential cycling market segments in Dar-es-Salaam, Tanzania

Most travel behaviour studies that seek to promote cycling define market segments based on socio-demographics, travel mode use or attitudes. They do not address the stages of change process in travel behaviour, whereas this information can be instrumental in influencing travel behaviour change. This paper adopts the stages of change model to identify potential cycling market segments and to analyse and profile each of the market segments based on socio-economic factors, current travel behaviour, attitudes, perceptions and motivations. A survey was conducted among 620 individual regular commuters in the city of Dar-es-Salaam. On the basis of cycling behaviour attitudinal-variable statements, as developed from the stages of change model, the survey data were classified in six different segments: pre-contemplation, contemplation, prepared for action, action, maintenance and relapse. The study revealed that the different segments have different needs and are motivated by different factors suggesting that they need to be treated in different ways. These market segments can have important implications for designing cycling policies and promotional strategies that best serve the needs of each segment. The results indicate that urban policies and marketing strategies which aim to promote bicycle use may first target the contemplation, prepared for action and action segments that are most motivated to change and willing to cycle.     

A Model for Setting Performance Objectives for Salmonella in the Broiler Supply Chain

A stochastic model for setting performance objectives for Salmonella in the broiler supply chain was developed. The goal of this study was to develop a model by which performance objectives for Salmonella prevalence at various points in the production chain can be determined, based on a preset final performance objective at the end of the processing line. The transmission of Salmonella through the broiler production chain was modeled. The prevalence at flock level was calculated from the measured prevalence at sample level. The transmission model is based on data on the occurrence of Salmonella collected in the Dutch broiler production chain during several years. The developed model can be used by policymakers and industry to determine economically and politically acceptable performance objectives for various points of the production chain and to draw conclusions about which interventions are most appropriate.     

Child custody issues and co‐occurrence of intimate partner violence and child maltreatment: controversies and points of agreement amongst practitioners

The situation of families undergoing separation in a context of co‐occurrence of intimate partner violence (IPV) and child maltreatment raises certain issues related to child custody. The results presented in this paper were collected and analysed within the framework of a qualitative study aiming to identify the principal points of agreement and the main controversies amongst practitioners in several different types of organizations. Focus groups were held with a total of 43 practitioners from six different settings concerned with child custody in cases of co‐occurrence of IPV and child maltreatment. Although they agreed on the importance of ensuring the safety of victims of violence, their views diverged on three points: (1) the importance of preserving the father–child relationship; (2) collaboration between voluntary organizations and semi‐voluntary or legal agencies; and (3) consideration of cultural differences.     

Diagnostic checks for discrete data regression models using posterior predictive simulations

Model checking with discrete data regressions can be difficult because the usual methods such as residual plots have complicated reference distributions that depend on the parameters in the model. Posterior predictive checks have been proposed as a Bayesian way to average the results of goodness-of-fit tests in the presence of uncertainty in estimation of the parameters. We try this approach using a variety of discrepancy variables for generalized linear models fitted to a historical data set on behavioural learning. We then discuss the general applicability of our findings in the context of a recent applied example on which we have worked. We find that the following discrepancy variables work well, in the sense of being easy to interpret and sensitive to important model failures: structured displays of the entire data set, general discrepancy variables based on plots of binned or smoothed residuals versus predictors and specific discrepancy variables created on the basis of the particular concerns arising in an application. Plots of binned residuals are especially easy to use because their predictive distributions under the model are sufficiently simple that model checks can often be made implicitly. The following discrepancy variables did not work well: scatterplots of latent residuals defined from an underlying continuous model and quantile–quantile plots of these residuals.