Actor and Partner Effects of Attachment on Relationship Satisfaction and Sexual Satisfaction Across the Genders: An APIM Approach

Previous studies found gender differences in relationship satisfaction and sexuality. We tested gender differences in associations between attachment, a lasting relationship determinant, and two outcomes, relationship and sexual satisfaction. This study improves on earlier research by examining these associations in one Actor‐Partner‐Interdependence‐Model, making direct statistical testing between outcomes possible. Furthermore, a community and a distressed sample (N = 113 heterosexual couples each) were included to attempt replication across samples and to examine clinical implications. In both genders, actor attachment avoidance negatively affected relationship satisfaction and (with one exception) sexual satisfaction. Also in both genders, partner attachment avoidance negatively affected sexual satisfaction. However, whereas partner attachment avoidance influenced female relationship satisfaction, it did not affect male relationship satisfaction. The findings replicated across samples. Clinical implications are discussed.     

Mining the mind: emotional extraction,productivity, and predictability in the twenty-first century

Surveying recent developments in management and work culture, computing and social media, and science and psychology, this article speculates on the concept of emotional extraction. Emotional extraction is defined in two ways. One iteration involves the transfer of emotional resources from one individual or group to another, such as that which occurs in the work of caring for others, but which also increasingly occurs in the work of producing new technology, such as emotionally aware computers. A second instance of emotional extraction entails the use of emotion knowledge – or theories about emotions, such as emotional intelligence – to generate conclusions or predictions about human behaviour. Emotional extraction in service work, management, marketing, social media, artificial intelligence, and neuroscience are discussed. ‘Mining the mind’ focuses in particular on emotional extraction that enhances both productivity and predictability, in turn tracing how emotionally extractive sites are implicated within the production and hierarchical valuation of difference – especially racial and gendered, but also neural difference – in everyday life. The article aims to offer scholars in cultural studies, as well as critical race theory, feminist theory, and critical disability studies, ways to think about this newly intensifying resource extraction and the intersections of culture, capital, and human experience that such extraction indexes and makes possible.     

Education and the Transition to Fatherhood: The Role of Selection Into Union

Although advanced education has been found to be consistently associated with a later transition to parenthood for women, findings about education and the transition to parenthood have been much less consistent for men, and no stylized fact has emerged from the literature. We argue that the inconsistency of findings for men is due to the fact that the selection process involved in union formation has been disregarded in earlier studies. We hypothesize that men’s educational attainment consistently and positively affects the transition to fatherhood via higher rates of union formation. We apply multiprocess event-history analysis to data from the Generations and Gender Surveys for 10 European countries. Our results show indeed a consistent positive effect of education on the transition to fatherhood, but it operates chiefly through selection into union. Failing to account for this selection process leads to a major underestimation of the salience of education for the transition to fatherhood.     

“This is How we Debate”: Engineers’ Use of Stories to Reason through Disaster Causation

Qualitative Sociology - This article contributes to inquiry on storytelling practice through analysis of the strategies that engineers adopt when reasoning through a disaster scenario. In hazardous...     

Ethno-Linguistic Affiliation and Income Poverty in Native Households with Children: Finland 1987–2011

The child poverty rate has increased noticeably in Finland since the mid-1990s, and there are numerous studies in this area. However, little is known about child poverty in the two native and equal population groups, Finnish speakers and Swedish speakers. Using detailed register-based data that cover the period 1987–2011, we analyze how child poverty depends on parental ethno-linguistic affiliation, and whether there is variation in income poverty across these households over time. The poverty measure is relative and based on equalized taxable household income of households with children. Odds of poverty are estimated with logistic regression models using generalized estimating equations to account for repeated observations at the household level. The analyses are restricted to areas with both Swedish- and Finnish-speaking settlement. Single-parent and two-parent households are analyzed separately. Poverty rates increased in all major types of households during the study period, but variation by ethno-linguistic affiliation was fairly modest. Swedish-speaking single-parent and two-parent households experienced a smaller increase in the poverty rate than Finnish-speaking ones, while patterns observed for exogamous households were less clear. The contribution of control variables on the ethno-linguistic poverty differences was modest. Considering that the ethno-linguistic groups studied are indigenous and equal, the small differences in poverty rates between Finnish speakers and Swedish speakers are evidence of a democratic and well-functioning welfare state, although the increasing overall poverty rates over time require future scrutiny by both policy makers and researchers.

     

Outlier detection based on extreme value theory and applications

Whether an extreme observation is an outlier or not depends strongly on the corresponding tail behavior of the underlying distribution. We develop an automatic, data-driven method rooted in the mathematical theory of extremes to identify observations that deviate from the intermediate and central characteristics. The proposed algorithm is an extension of a method previously proposed in the literature for the specific case of heavy tailed Pareto-type distributions to all max-domains of attraction. We propose some applications such as a tail-adjusted boxplot which yields a more accurate representation of possible outliers, and the identification of outliers in a multivariate context through an analysis of associated random variables such as local outlier factors. Several examples and simulation results illustrate the finite sample behavior of the algorithm and its applications.     

Population Growth and the Local Provision of Services: The Role of Primary Schools in Portugal

Population Research and Policy Review - The shrinking population in many European regions has led to a debate on the relation between the local provision of services of general interest and the...     

Explaining Cross-Country Differences in Attitudes Towards Immigration in the EU-15

In this paper, we use data from the first two rounds of the European Social Survey to analyze the extent to which differences in average attitudes towards immigration across the EU-15 countries may be explained by differences in socioeconomic characteristics and individually perceived consequences of immigration, using an extension of a decomposition technique developed by Fairlie (2005). We find that despite the significant effects of socioeconomic characteristics on attitudes, differences in the distributions of these characteristics can only explain a modest share of the cross-country variation in average attitudes. A larger part can be explained by differences in perceived consequences of immigration, but the main part is still left unexplained. Apart from providing useful input for policy makers working in the area of immigration policy, this raises a number of questions for further research for which the ESS data can be successfully applied.