Italian Children's Understanding of War: A Domain-Specific Approach

Studies of children's conceptions of war, which have been carried out up to now mainly by asking for a definition of war and associating it with other notions, have found few age-related changes after the age of 6. Considering the complexity of the concept, and its embeddedness in the political conceptual domain, which emerges at around 11 years, we expect that greater differences should emerge if children's ideas on the causes and consequences of war, and the actors involved, are carefully assessed. Semi-structured interviews carried out with a total of 80 Italian children from 2nd to 8th grades confirmed this hypothesis. Many 2nd graders described war as a clash between collectives without structure, attributing all decisions about starting, the development of, and ending a war to the individual fighters and explaining these decisions (when they did) as due to emotions such as hatred, envy, revenge, or being tired or unwilling to fight any longer. Most 6th and 8th graders depicted war as a clash between nation-states, attributing decisions about its starting and ending to political authorities on the basis of political and economic reasons, and the actual fighting of battles to an organized army collaborating with, or subordinate to, political authorities. Many 2nd and 4th graders also showed a mixed pattern of answers, involving both political authorities and individual fighters, thus showing that the transition from the rudimentary backward conception to the more advanced one occurs through the piecemeal addition and deletion of concepts and beliefs.     

Risk of Error and the Kappa Coefficient of a Binary Diagnostic Test in the Presence of Partial Verification

The accuracy of a binary diagnostic test is usually measured in terms of its sensitivity and its specificity, or through positive and negative predictive values. Another way to describe the validity of a binary diagnostic test is the risk of error and the kappa coefficient of the risk of error. The risk of error is the average loss that is caused when incorrectly classifying a non-diseased or a diseased patient, and the kappa coefficient of the risk of error is a measure of the agreement between the diagnostic test and the gold standard. In the presence of partial verification of the disease, the disease status of some patients is unknown, and therefore the evaluation of a diagnostic test cannot be carried out through the traditional method. In this paper, we have deduced the maximum likelihood estimators and variances of the risk of error and of the kappa coefficient of the risk of error in the presence of partial verification of the disease. Simulation experiments have been carried out to study the effect of the verification probabilities on the coverage of the confidence interval of the kappa coefficient.     

Mixing patterns between age groups in social networks

We present a method for estimating transmission matrices that describe the mixing and the probability of infection between age groups. Transmission matrices can be used to estimate age-dependent forces of infection in age-structured, compartmental models for the study of infectious diseases. We analyze the social network generated by the synthetic population of Portland and extract mixing patterns. Our results show that the mixing within the population consists of two groups, children and adults. Children interact most frequently with other children close to their own age, while adults interact with a wider range of age groups and the durations of typical adult contacts are shorter than typical contacts between children. Furthermore, the transmission matrix shows that children are more likely to acquire infection than adults.     

Impasses of Divorce: Neither Together Nor Apart

This paper looks at one type of intervention that has made it possible to help separating couples, given to irrationality and engaged in protracting disputes over their children, become more rational parents, capable of using mediation as a method of dispute resolution. The central theoretical formulation in this intervention is the divorce transition impasse. The process involved in overcoming the impasse combines a therapeutic and counselling effort with the mediation. One counsellor/mediator coordinates both phases of the process, by first assessing the impasse and then shifting the factors that created it and moving on to negotiation and implementation of the agreement made. A case seen by the author is presented to illustrate the phases of intervention and the strategies used in each phase. The possibility is raised that this type of intervention offered by specialised counsellor/mediators might prove to the Family Court's advantage in dealing with potentially complex cases, such as access enforcement cases and some ex-nuptial children disputes.     

Perceptions and expectations of price changes and inflation: A review and conceptual framework

Drawing on relevant literature from a diverse range of academic disciplines we present a conceptual framework intended to further our understanding of perceptions and expectations of price changes and inflation. Based on this framework, we provide a detailed review of the literature and an analysis of open issues in current research. The review is primarily concerned with individuals’ perceptions and expectations of price changes and inflation, which can influence individuals’ economic behaviour (e.g. spending and saving decisions). The main insight from the review is that while consumers may have a limited ability to store and recall specific prices, and even succumb to a number of biases in the way in which they form perceptions and expectations of global price changes, they do seem to have some feel for, and ability to judge and forecast, inflation. How they achieve this, however, is still an open question, although plausible explanations have been proposed. While much important research has been undertaken and significant progress made in our understanding of the psychology of inflation, there remain many unanswered questions and interesting avenues for future research, which are discussed in the final part of the paper.     

Basic notions for the analysis of large two-mode networks

Many large real-world networks actually have a two-mode nature: their nodes may be separated into two classes, the links being between nodes of different classes only. Despite this, and despite the fact that many ad hoc tools have been designed for the study of special cases, very few exist to analyse (describe, extract relevant information) such networks in a systematic way. We propose here an extension of the most basic notions used nowadays to analyse large one-mode networks (the classical case) to the two-mode case. To achieve this, we introduce a set of simple statistics, which we discuss by comparing their values on a representative set of real-world networks and on their random versions. This makes it possible to evaluate their relevance in capturing properties of interest in two-mode networks.     

CEO and Chairperson characteristics and firm performance

This paper focuses on the relationship between Chief Executive Officer (CEO) and Chairperson characteristics and firm performance. Specifically, the study examines the association between the characteristics of the CEO and the Chairperson of the board and firm performance. Using a sample of S&P 500 firms, the evidence found suggests that demographic and experience-related characteristics may be associated with the market valuation and financial performance of the firm. In particular, the reported results indicate a positive relationship between the presence of female CEOs or Chairs and firm performance, thus suggesting that gender-based differences may affect the CEO’s/Chairperson’s success. Moreover, the findings concerning the age of the CEO or Chair are mixed, while their experience and quality appear positively related to firm performance. Interestingly, a CEO or Chairperson holding multiple board seats is negatively associated with firm performance, whereas CEO duality has a positive relationship with Tobin’s Q and the return on assets (ROA) of the firm.     

Violence Exposure and Drug Use in Central American Youth: Family Cohesion and Parental Monitoring as Protective Factors

Associations between witnessing serious violence and drug use, and the protective influences of family cohesion and parental monitoring, were investigated among 9,840 adolescents (50.5% female, M age=15.29 years, SD=1.76) living in Panama and Costa Rica. After accounting for demographics and parental and sibling substance use, witnessing serious violence was associated with greater drunkenness, tobacco use, number of illicit drugs used, and problems with drugs and alcohol. In every analysis, exposure to violence was associated with more drug use, while family cohesion and parental monitoring attenuated risk. Further, family cohesion and parental monitoring exerted a protective‐stabilizing effect on number of illicit drugs used and on problems with drugs and alcohol. There were few interactions with age. Implications for prevention are discussed.