Attitudes toward victims of rape: effects of gender, race, religion, and social class

Although previous literature focusing on perceptions of victims of rape has examined how gender, race, and culture influence the attitudes one holds toward victims, these studies have yielded mixed results. This study compared perceptions of victims of rape across a wide range of ages, educational backgrounds, religions, and income levels, while focusing on gender and racial differences. Results indicate (N = 220) that victims of rape are generally viewed more sympathetically by females than by males and by Whites than by African Americans. However, the effect of race disappears when socioeconomic variables are controlled, suggesting a more complex relationship. Also, a hierarchical regression indicates that age, sex, education, and income are significant predictors of attitudes toward victims. This study builds on existing research that examines such attitudes from a cultural perspective and extends this literature by examining the interactive effects of several demographic variables within a community sample.     

Reasons for Returning to Abusive Relationships: Effects of Prior Victimization

Studies have demonstrated that women with a history of childhood sexual abuse (CSA) are at increased risk of revictimization, but research has not yet examined whether a history of CSA may affect patterns of remaining in or returning to abusive relationships in adulthood. This study examines the impact of a CSA history on decisions to return to abusive relationships in a sample of 104 adult domestic violence survivors. Participants were interviewed about the number of times that they had previously separated from and returned to their abusive partner, the factors that influenced their decision to return (both psychological/internal and environmental/external factors), and their perceived likelihood of returning in the future. As predicted, CSA survivors (n = 34) reported a significantly greater number of past separations than non-CSA survivors (n = 70). CSA survivors were also significantly more likely to report that their decisions to return were influenced by emotional attachment to the batterer. CSA survivors did not perceive themselves to be at greater risk of returning in the future, suggesting that they may be more likely to underestimate their vulnerability to returning to the battering relationship. Clinical implications of the findings are discussed.     

Untangling Housing Cost and Transportation Interactions: The Location Affordability Index Model—Version 2 (LAIM2)

Abstract

It is now accepted that to have an understanding of housing affordability one must consider not only housing costs, but also the transportation costs associated with that household location. To make this information readily accessible to the public, the United States government created an Internet resource, the Location Affordability Portal – Version 2 (www.locationaffordability.info), to provide housing and transportation costs for every neighborhood in all 50 states and the District of Columbia. Although the statistical model at the heart of this resource was designed for predictive accuracy, its design and parameter estimates can provide additional insights into the interaction of housing cost and transportation choices (and thus its cost). This study describes the development and explores the policy implications (and limitations) of this structural equations model, the Location Affordability Index Model – Version 2 (LAIM2).     

Reloading the Armalite? Victims and Targets of Violent Dissident Irish Republicanism, 2007–2015

The centenary of the 1916 Rising marks a time of peaceful commemoration, across the island of Ireland. However, several violent dissident republican groups wish to seize it as an opportunity to re-organise in an attempt to bolster and legitimise their sustained paramilitary campaign. This study seeks to provide a greater understanding of how this paramilitary activity has manifested from 2007 to mid-2015. We do this by assessing target selection, through analysis of the Violent Dissident Republican (VDR) events database. The data suggest that civilian targets are the most regularly attacked. However, when exclusively analysing targets of detonated explosives, the data show that police, security personnel, and their infrastructure are more consistently targeted. The target selected can and does have an effect on attack method. These findings can both assist in protecting the potential targets of VDR attacks and contribute to the development of a strong nationalised, and localised, counter VDR narrative.     

Cross-city evidence on the relationship between immigration and crime

Public concerns about the costs of immigration and crime are high, and sometimes overlapping. This article investigates the relationship between immigration into a metropolitan area and that area's crime rate during the 1980s. Using data from the Uniform Crime Reports and the Current Population Surveys, we find, in the cross section, that cities with high crime rates tend to have large numbers of immigrants. However, controlling for the demographic characteristics of the cities, recent immigrants appear to have no effect on crime rates. In explaining changes in a city's crime rate over time, the flow of immigrants again has no effect, whether or not we control for other city-level characteristics. In a secondary analysis of individual data from the National Longitudinal Survey of Youth (NLSY), we find that youth born abroad are statistically significantly less likely than native-born youth to be criminally active.     

A method for calculating the strength of evidence associated with an earwitness's claimed recognition of a familiar speaker

The present paper proposes and demonstrates a method for assessing strength of evidence when an earwitness claims to recognize the voice of a speaker who is familiar to them. The method calculates a Bayes factor that answers the question: What is the probability that the earwitness would claim to recognize the offender as the suspect if the offender was the suspect versus what is the probability that the earwitness would claim to recognize the offender as the suspect if the offender was not the suspect but some other speaker from the relevant population? By “claim” we mean a claim made by a cooperative earwitness not a claim made by an earwitness who is intentionally deceptive. Relevant data are derived from naïve listeners' responses to recordings of familiar speakers presented in a speaker lineup. The method is demonstrated under recording conditions that broadly reflect those of a real case.     

Score based procedures for the calculation of forensic likelihood ratios – Scores should take account of both similarity and typicality

Score based procedures for the calculation of forensic likelihood ratios are popular across different branches of forensic science. They have two stages, first a function or model which takes measured features from known-source and questioned-source pairs as input and calculates scores as output, then a subsequent model which converts scores to likelihood ratios. We demonstrate that scores which are purely measures of similarity are not appropriate for calculating forensically interpretable likelihood ratios. In addition to taking account of similarity between the questioned-origin specimen and the known-origin sample, scores must also take account of the typicality of the questioned-origin specimen with respect to a sample of the relevant population specified by the defence hypothesis. We use Monte Carlo simulations to compare the output of three score based procedures with reference likelihood ratio values calculated directly from the fully specified Monte Carlo distributions. The three types of scores compared are: 1. non-anchored similarity-only scores; 2. non-anchored similarity and typicality scores; and 3. known-source anchored same-origin scores and questioned-source anchored different-origin scores. We also make a comparison with the performance of a procedure using a dichotomous “match”/“non-match” similarity score, and compare the performance of 1 and 2 on real data.