Health-Related Quality of Life Among Abused Women One Year After Leaving a Violent Partner

This is the first follow up study measuring quality of life among abused women who have left their abusive partner. The women (n = 22) answered a questionnaire while staying at women’s shelter and one year later. The aim was to examine long-term effects of intimate partner violence against women on health-related quality of life. Health-related quality of life was measured using the SF-36 Health Survey and the WHOQOL-BREF. The meantime for living in a violent partnership was 11 years, most of the women had children under 10 years living with them, low income and were on sickness absence or disability pension. About half of the women had experienced threats of violence and 6 had experienced violent acts after leaving their partner. SF-36 scores after one year were significantly better in vitality (t-test, P < 0.001), mental health (t-test P < 0.001) and social domains (t-test, P < 0.04). WHOQOL-BREF scores did not change significantly from baseline, showing that the SF-36 showed more responsiveness in this population. Regression analysis showed that serious physical violence reported at baseline predicted significantly less improvement in physical and mental health and role-emotional in the SF-36 and in social relationships and environmental health in the WHOQOL-BREF. High psychological violence at baseline predicted significantly less improvement in mental health in the SF-36 and in social relationships and environmental health in the WHOQOL-BREF.     

Migrant and asylum-seeker children returned to Kosovo and Albania: predictive factors for social–emotional wellbeing after return

The return of rejected asylum seekers has a high priority on the national agendas of European States. In order to make well-informed asylum decisions involving children, knowledge of how asylum-seeker children fare after their return to their countries of origin is needed. This study aims to gain knowledge about the child-rearing environment and the social–emotional wellbeing of migrant children who have returned to Kosovo and Albania after a stay in a European host country. Based on a sample of 106 returned families, the study investigated the predictive factors for children’s social–emotional wellbeing using regression analyses. The findings show that procedural characteristics and ethnicity predict wellbeing, mediated through the quality of the child-rearing environment. The most vulnerable children did not have a stable resident status in the host country, belonged to a minority ethnic group and were older adolescents. The findings indicate that the wellbeing of returned children is not only dependent on conditions after repatriation, but also on the conditions which the families left in the host country. To enable sustainable return in a child’s best interests, the needs of vulnerable families and children should be thoroughly assessed prior to return, and reintegration support should be tailored to their situation.     

Expert Views on Their Role as Policy Advisor: Pilot Study for the Cases of Electromagnetic Fields,Particulate Matter,and Antimicrobial Resistance

This perspective presents empirical data to demonstrate the existence of different expert views on scientific policy advice on complex environmental health issues. These views are partly research‐field specific. According to scientific literature, experts differ in the way they provide policy advice on complex issues such as electromagnetic fields (EMF), particulate matter (PM), and antimicrobial resistance (AMR). Where some experts feel their primary task is to carry out fundamental research, others actively engage in the policy dialogue. Although the literature provides ideas about expert roles, there exists little empirical underpinning. Our aim is to gather empirical evidence about expert roles. The results of an international study indicated that experts on EMF, PM, and AMR differ in the way they view their role in the policy dialogue. For example, experts differed in their views on the need for precaution and their motivation to initiate stakeholder cooperation. Besides, most experts thought that their views on the risks of EMF/PM/AMR did not differ from those of colleagues. Great dissensus was found in views on the best ways of managing risks and uncertainties. In conclusion, the theoretical ideal–typical roles from the literature can be identified to a certain extent.     

In search of excellence: a case study of the first excellence initiative of Germany

As higher education policies are often associated with intense public spending, the evaluation and performance measurement of respective initiatives becomes increasingly crucial. An extensive and fruitful strand of literature has dealt with the assessment of university performance, yet mainly focused on point-in-time rather than period-of-time examinations. This study investigates the effects of Germany’s first Excellence Initiative, a political measure aimed at building up world-class universities to be able to compete in the globalizing research world. Relying on both qualitative and quantitative measures, taking into account a 15-year period from 1998 to 2012, we analyze the selection process and how and whether the Excellence Initiative fulfilled its ambitious goals. Our results suggest that not the political initiative per se, i.e. the treatment, but the announcement of the treatment triggered diverging performance paths within the German higher education system, thus positively contributed to augmented research performance of the promoted universities. Based on these findings, we provide policy recommendations and avenues for future research.     

Weight matrices for social influence analysis: An investigation of measurement errors and their effect on model identification and estimation quality

Weight matrices, such as used in network autocorrelation models, are useful to investigate social influence processes. The objective of this paper is to investigate a key topic that has received relatively little attention in previous research, namely the issues that arise when observational limitations lead to measurement errors in these weight matrices. Measurement errors are investigated from two perspectives: when relevant ties are omitted, and when irrelevant ties are erroneously included as part of the matrix. The paper first shows analytically that these two situations result in biased estimates. Next, a simulation experiment provides evidence of the effect of erroneously coding the weight matrix on model performance and the ability of a network autocorrelation test to identify social influence effects. The results suggest that depending on the level of autocorrelation and the topology attributes of the underlying matrix, there is a window of opportunity to identify and model social influence processes even in situations where the ties in a matrix cannot be accurately observed.     

Delimiting perceptual cues used for the ethnic labeling of African American and European American voices

A review of speech identification studies examining the abilities of listeners to distinguish African American and European American voices shows that Americans can recognize many African American voices with a high degree of accuracy even in the absence of stereotypical morphosyntactic and lexical features. Experiments to determine what cues listeners use to distinguish ethnicity have not yielded such consistent results, perhaps suggesting that listeners may access a wide variety of cues if necessary. An experiment involving African Americans with features of a European American vernacular demonstrated that African Americans with atypical features are difficult for listeners to identify. Analysis suggested that vowel quality and intonation could have misled respondents but did not rule out timing and voice quality as factors in identification.     

Age-specific survivorship analysis ofHeliothis spp. Populations on cotton

Summary Population dynamics ofHeliothis virescens (F.) andHeliothis zea (Boddie) (Lepidoptera: Noctuidae) eggs and larvae were studied for two years in a small plot of cotton,Gossypium hirsutum (L.). Due to morphological and ecological similarities, the pooledHeliothis population was considered for most of the analyses. Two generations ofHeliothis eggs and larvae were completed during each year. Stage recruitment was estimated for the eggs and larval instars 2–6, and recruitment variances were estimated by a Monte Carlo method. A modified form of the Weibull distribution was developed and used as a model to characterize survivorship curves for each of the fourHeliothis generations. A Type I survivorship curve (mortality rate increasing with age) was inferred for both Generation 1 (early season) data sets, whereas a Type II survivorship curve (mortality rate constant and thus independent of age) was inferred for both Generation 2 (late season) data sets. The shapes of the survivorship curves for the individualH. virescens andH. zea populations were inferred to be the same as those for the pooled populations. Analysis of the contributions of various factors toHeliothis stage-specific mortality indicated that natural enemies (predators and parasites) and the availability of food for larvae were responsible for between-generation differences in survivorship patterns.