Conditional Inference Trees: A Method for Predicting Intimate Partner Violence

A number of different methodologies have been employed to investigate the complex relationship between psychological and physical aggression. Herein, a method of unbiased recursive partitioning (conditional inference trees) was applied to a longitudinal sample to identify cutoffs of psychological aggression at baseline that differentiate between individuals who do and do not perpetrate physical aggression at follow‐up. The algorithm categorized men into low‐ and high‐risk groups, and women into mild‐, moderate‐, or high‐risk categories of perpetration. Couples responded anonymously to a self‐report measure of psychological and physical aggression (CTS2) at baseline and a 12‐month follow‐up. Sensitivity analyses for predicting physical aggression reached as high as 59% for women and 60% for men.     

Equality of Educational Opportunities,Schools’ Characteristics and Resilient Students: An Empirical Study of EU-15 Countries Using OECD-PISA 2009 Data

In the existent literature, little attention has been paid to the characteristics of the schools attended by the “resilient” students, i.e. those that, despite their socioeconomic background, are able to obtain high academic results. The paper explores this topic by using OECD-PISA 2009 data for EU-15 countries; we estimate a statistical model to find those school-level variables that are correlated with the probability of a disadvantaged student being resilient, net of country-specific structural differences. A by-product of the study is a better understanding of the educational drivers that help disadvantaged students and this can be beneficial for a country’s educational system as a whole. In particular, the analysis reveals that schools attended by resilient students do offer more extracurricular activities and are characterized by a better positive school climate.     

Community Perceptions of Industrial Risks Before and After a Toxic Flood: The Case of Houston and Hurricane Harvey

Abstract

The present study examines risk perceptions before and after a recent natural-technological event. The aim is to improve understanding of how long-time residents understand chronic and acute industrial risks, including hazardous industrial releases triggered by natural disasters. Thirty-two interviews were conducted in Channelview, Texas: 19 in February 2017, six months before Hurricane Harvey’s landfall, and 13 with those same residents in December 2017, four months after Harvey’s landfall. Results indicate that long-time residents normalized chronic risks of industrial pollution before the storm, but they were either unaware or incredulous that major industrial spills might result from a hurricane. After such an event, residents strengthened their normalization of industrial risks and became even more inclined to frame them as coming from external forces rather than from local facilities that continue to put their community at risk.     

Entry and Exit Strategies in Migration Dynamics

In this paper, we use a real option framework in order to study the role of combined entry and exit strategies in migration. The paper’s aim consists in investigating migrants’ behaviour and in particular their duration of stay in the host country. Our framework shows two threshold levels: the first triggers the migration choice, while the second triggers the return to the country of origin. The difference between these two thresholds defines a region of inaction (hysteresis) i.e. the length of the immigrant’s stay in the host country (duration). Our theoretical results show that: (a) the phenomenon of hysteresis is amplified by ethnic communities both in entry and in exit cases; and (b) migration policies that attempt to exacerbate entry could increase duration of immigrants and the migration stock in the host country. Furthermore, the community could reduce the minimum wage level required to trigger both exit and entry. This fact could explain why we sometimes see migration inflows with a low wage differential and also with underemployment.     

Advancing a qualitative turn in news media trust research

The contemporary media environment represents the greatest challenge ever to journalism's legitimacy. Surveys conducted in different parts of the world highlight a decline in trust in news media. Due to the numerous changes in the news media environment, different investigative tools are required to grasp the mechanisms underlying news media trust from those adopted so far. This article provides a review of existing media trust research and argues that it is necessary to investigate news media trust (also) from a qualitative perspective because today understanding media trust is as crucial as measuring it.