The role of psychological detachment and empathy in the relationship between target and perpetrator in workplace bullying situations / El papel del distanciamiento psicológico y la empatía en la relación entre víctima y agresor en situaciones de acoso en el trabajo

Although previous research has shown a clear association between being a target and a perpetrator of bullying, there are no available studies exploring possible moderators of this relationship. The aim of this study is to examine the moderating role of psychological detachment and empathy on the relationship between target and perpetrator in workplace bullying situations. The sample was made up of 392 employees from a variety of organizations in the private security sector located in Madrid. Results revealed that psychological detachment and empathic concern moderated the relationship between the target and perpetrator of bullying, such that subjects with high levels of detachment and empathic concern reported lower rates of bullying as a perpetrator. These results are in line with the affect-regulation strategies model.     

Comparing point and interval estimates in the bivariate <Emphasis Type="Italic">t</Emphasis>-copula model with application to financial data

The paper considers joint maximum likelihood (ML) and semiparametric (SP) estimation of copula parameters in a bivariate t-copula. Analytical expressions for the asymptotic covariance matrix involving integrals over special functions are derived, which can be evaluated numerically. These direct evaluations of the Fisher information matrix are compared to Hessian evaluations based on numerical differentiation in a simulation study showing a satisfactory performance of the computationally less demanding Hessian evaluations. Individual asymptotic confidence intervals for the t-copula parameters and the corresponding tail dependence coefficient are derived. For two financial datasets these confidence intervals are calculated using both direct evaluation of the Fisher information and numerical evaluation of the Hessian matrix. These confidence intervals are compared to parametric and nonparametric BCA bootstrap intervals based on ML and SP estimation, respectively, showing a preference for asymptotic confidence intervals based on numerical Hessian evaluations.     

A copula-based partition Markov procedure

The number of parameters needed to specify a discrete multivariate Markov chain grows exponentially with the order and dimension of the chain, and when the size of the database is not large enough, it is not possibly a consistent estimation. In this paper, we introduce a strategy to estimate a multivariate process with an order greater than the order achieved using standard procedures. The new strategy consists in obtaining a partition of the state space which is constructed from a combination of the partitions corresponding to the marginal processes and the partitions corresponding to the multivariate Markov chain.     

Social and Territorial Cohesion in Spain: Relevance of the Socioeconomic Context

Social Indicators Research - Exclusion processes are shaped through the accumulation of social disadvantages in seven life dimensions: income, employment, education, health, housing, social and...     

Generalised quasi‐symmetry models for ordinal contingency tables

This paper extends the ordinary quasi‐symmetry (QS) model for square contingency tables with commensurable classification variables. The proposed generalised QS model is defined in terms of odds ratios that apply to ordinal variables. In particular, we present QS models based on global, cumulative and continuation odds ratios and discuss their properties. Finally, the conditional generalised QS model is introduced for local and global odds ratios. These models are illustrated through the analysis of two data sets.     

Variations of the same? A sectoral analysis of the gender pay gap in Germany and Austria

Germany and Austria are two countries with a comparably and persistently high gender pay gap. Further, both countries are classified as conservative welfare states where the male breadwinner model has been only partly modernized and strong corporatist structures shape working conditions. At the same time, welfare policy and provision are not only based on but also shape gender‐related norms, beliefs and assumptions that are virulent for job valuation and collective bargaining. Against this background the article analyses similarities and differences regarding the gender pay gap in Germany and Austria. While both countries show significant similarities regarding the causes for the gender pay gap, there are some differences regarding legislation and further policies with which the gender pay gap could be reduced. Arguing that the institutional framework strongly influences income opportunities for women and men, the article provides a sectoral analysis of the financial and insurance sector and the human health sector in both countries. Using qualitative data from a recent research project, it is argued that in the classification of a sector as ‘female’, the sectoral income level combined with different wage‐setting mechanisms have a crucial impact on wage inequalities between women and men.     

Destabilisation and cultural literacy

There is a growing body of work on the field of what is now known as ‘cultural literacy’, but little has been written about its application, and even less on how to teach it in the context of higher education. This article discusses ‘destabilisation’ as an approach to teaching cultural literacy in higher education in the context of the global challenges that universities face today. It defines the characteristics of destabilisation and highlights its advantages in relation to other teaching approaches that have a similar focus on developing cultural competence in students. The article also situates ‘destabilisation’ as a pedagogical term within a spectrum of experiential learning methods and techniques that are focused on developing cultural competence.     

Language familiarity influences own-race face recognition in 9- and 12-month-old infants

During their first year, infants attune to the faces and language(s) that are frequent in their environment. The present study investigates the impact of language familiarity on how French-learning 9- and 12-month-olds recognize own-race faces. In Experiment 1, infants were familiarized with the talking face of a Caucasian bilingual German-French speaker reciting a nursery rhyme in French (native condition) or in German (non-native condition). In the test phase, infants’ face recognition was tested by presenting a picture of the speaker's face they were familiarized with, side by side with a novel face. At 9 and 12 months, neither infants in the native condition nor the ones in the non-native condition clearly recognized the speaker's face. In Experiment 2, we familiarized infants with the still picture of the speaker's face, along with the auditory speech stream. This time, both 9- and 12-month-olds recognized the face of the speaker they had been familiarized with, but only if she spoke in their native language. This study shows that at least from 9 months of age, language modulates the way faces are recognized.