“A rape was reported”: construction of crime in a university newspaper

Historically, the news media have engaged in high rates victim blaming in their reporting of sexual assaults. However, in recent years, gains in civil rights and renewed attention to Title IX may mean sexual assault victims are receiving less-biased news coverage. Using a content analysis, we examined the tone and message of all crime stories published in one United States university newspaper from academic year 2015–2016 (n = 99). Comparing attributions of responsibility made to both victims and offenders across several major crime categories (rape, murder, sexual assault, robbery, physical assault, sexual misconduct, and sexual abuse), and consistent with historical trends, we found higher levels of victim blaming in stories on rape and sexual assault than any other crime. We identify rhetorical devices commonly used to discredit the victim and/or absolve the perpetrator. Despite perceived gains achieved by Title IX, news coverage continues to buttress victim blaming culture.     

Multidimensional Analysis of Deprivation and Fragility Patterns of Migrants in Lombardy,Using Partially Ordered Sets and Self-Organizing Maps

Social Indicators Research - In this paper, we present a multidimensional fuzzy analysis of the levels and the patterns of poverty and social fragility of migrants’ families, in the Italian...     

Access to justice for Aboriginal People in the Northern Territory

This article discusses research in the Northern Territory on Aboriginal civil and family law needs. It is based on focus group discussions and interviews with legal services providers and other associated organisations. The article argues that key areas of legal need involve discrimination, housing, child protection, social security, credit/debt and consumer law problems. It further argues that welfare conditionality, particularly as embodied in the NT Intervention and subsequent Stronger Futures policies, has exacerbated the need for legal assistance and advocacy for Aboriginal people.     

Approximate Bayesian inference in semi-mechanistic models

Inference of interaction networks represented by systems of differential equations is a challenging problem in many scientific disciplines. In the present article, we follow a semi-mechanistic modelling approach based on gradient matching. We investigate the extent to which key factors, including the kinetic model, statistical formulation and numerical methods, impact upon performance at network reconstruction. We emphasize general lessons for computational statisticians when faced with the challenge of model selection, and we assess the accuracy of various alternative paradigms, including recent widely applicable information criteria and different numerical procedures for approximating Bayes factors. We conduct the comparative evaluation with a novel inferential pipeline that systematically disambiguates confounding factors via an ANOVA scheme.     

Testing for Serial Independence: Beyond the Portmanteau Approach

Portmanteau tests are typically used to test serial independence even if, by construction, they are generally powerful only in presence of pairwise dependence between lagged variables. In this article, we present a simple statistic defining a new serial independence test, which is able to detect more general forms of dependence. In particular, differently from the Portmanteau tests, the resulting test is powerful also under a dependent process characterized by pairwise independence. A diagram, based on p-values from the proposed test, is introduced to investigate serial dependence. Finally, the effectiveness of the proposal is evaluated in a simulation study and with an application on financial data. Both show that the new test, used in synergy with the existing ones, helps in the identification of the true data-generating process. Supplementary materials for this article are available online.     

Risk Perception and Information Processing: The Development and Validation of a Questionnaire to Assess Self‐Reported Information Processing

The role of information processing in understanding people's responses to risk information has recently received substantial attention. One limitation of this research concerns the unavailability of a validated questionnaire of information processing. This article presents two studies in which we describe the development and validation of the Information‐Processing Questionnaire to meet that need. Study 1 describes the development and initial validation of the questionnaire. Participants were randomized to either a systematic processing or a heuristic processing condition after which they completed a manipulation check and the initial 15‐item questionnaire and again two weeks later. The questionnaire was subjected to factor reliability and validity analyses on both measurement times for purposes of cross‐validation of the results. A two‐factor solution was observed representing a systematic processing and a heuristic processing subscale. The resulting scale showed good reliability and validity, with the systematic condition scoring significantly higher on the systematic subscale and the heuristic processing condition significantly higher on the heuristic subscale. Study 2 sought to further validate the questionnaire in a field study. Results of the second study corresponded with those of Study 1 and provided further evidence of the validity of the Information‐Processing Questionnaire. The availability of this information‐processing scale will be a valuable asset for future research and may provide researchers with new research opportunities.