Typen religiöser Sozialformen und ihre Bedeutung für die Analyse religiösen Wandels in Deutschland

The article examines different forms of institutionalization of religion in Germany since the 1950s. Going beyond the classical church-sect dichotomy, we discuss in a theoretical part communities, organizations, market relations, movements and events as possible candidates for the structuring of religious communication. In an empirical part, we outline recent changes of social forms in Germany. By addressing divergent trajectories in the major German churches, smaller Christian denominations, immigrant religions and the evolving spectrum of new religiosity, we show that a general trend is not observable. The developments do not prove the often claimed ‘end of religious communities’. It rather seems that modernity produces a variety of religious social forms that seem to balance the tension between communalization (Vergemeinschaftung) and socialization (Vergesellschaftung).     

Immediate and Longer-Term Connections Between Support and Stress in Pregnant/Parenting and Non-Pregnant/Non-Parenting Adolescents

Despite the substantial amount of literature focusing on social support for pregnant and parenting adolescents, few studies have directly examined the relationships among stress and social support across their transition to parenting. The present study investigates the nature of the relationship between stress and support both before and after the birth of the baby. Two groups of adolescent females (one group facing parenthood and one not) completed measures of support and stress across a 7-month period (N = 231) to coincide with the transition to parenthood. In general, support and stress were negatively related when measured concurrently and positively related over time for parenting adolescents but not the non-parenting group. Understanding how long social support impacts stress will enable practitioners to identify when best to provide interventions for pregnant and parenting adolescents.     

Effect of Changes in Living Conditions on Well-Being: A Prospective Top–Down Bottom–Up Model

Using the German Socio-Economic Panel, we examined life-satisfaction and housing satisfaction before and after moving (N = 3,658 participants from 2,162 households) with univariate and bivariate two-intercept two-slope latent growth models. The main findings were (a) a strong and persistent increase in average levels of housing satisfaction, (b) no increase in average life-satisfaction, (c) low stability in individuals’ level of housing satisfaction, and (d) high stability in individuals’ level of life-satisfaction. The results are discussed in the context of top–down and bottom–up models as well as adaptation theories of well-being. We conclude that moving or living in a better home is unrelated to life-satisfaction judgments for two reasons. First, housing makes a small contribution to life-satisfaction judgments. Second, positive effects of better housing are undermined by the greater costs of living in a better home. The results provide no support for the prediction of adaptation theory that shifting aspirations undermine the benefits of living in a better home.     

Measuring to Improve Versus Measuring to Prove: Understanding the Adoption of Social Performance Measurement Practices in Nascent Social Enterprises

Social enterprises are described as organizations with dual objectives—social and commercial. While the measurement of commercial performance is relatively straightforward and well understood, our understanding of the factors related to measuring social performance is more ambiguous. Is the adoption of social performance measurement (SPM) practices more related to external pressures, such as the need to demonstrate legitimacy to funders and peers, or is it more closely related to the growing rationalization within the social sector? We examine the relationship between external and internal factors and the adoption of SPM using a novel dataset of 1864 nascent social enterprises from around the world. Our findings suggest support for the argument that the adoption of SPM in social enterprise is related to the growing rationalization of the social sector, which challenges some of the past research on this topic, and provides a more nuanced perspective of SPM in social enterprise.     

Promotions and Earnings – Gender or Merit? Evidence from Longitudinal Personnel Data

This study examines the determinants of promotions, performance evaluations and earnings using unique longitudinal data from the personnel records of a large university. The study focuses on the role of gender in remuneration using, first, information on the complexity ratings of job tasks to define promotions on job ladders and, second, information on objective individual productivity. The study finds that individual research productivity was an important determinant of promotions and earnings. The results indicate that gender has no effect on the probability of being promoted, conditional on productivity, nor does it play a role in the performance evaluation of employees. Furthermore, the results suggest that contemporaneous productivity measures provide a usable proxy for the past productivity of a worker.     

Emotional impacts of environmental decline: What can Native cosmologies teach sociology about emotions and environmental justice?

This article extends analyses of environmental influences on social action by examining the emotions experienced by Karuk Tribal members in the face of environmental decline. Using interviews, public testimonies, and survey data we make two claims, one specific, the other general. We find that, for Karuk people, the natural environment is part of the stage of social interactions and a central influence on emotional experiences, including individuals’ internalization of identity, social roles, and power structures, and their resistance to racism and ongoing colonialism. We describe a unique approach to understanding the production of inequality through disruptions to relationships among nature, emotions, and society. Grief, anger, shame, and hopelessness associated with environmental decline serve as signal functions confirming structures of power. The moral battery of fear and hope underpins environmental activism and resistance. More generally, we expand this concern to argue that neglecting the natural world as a causal force for “generic” social processes has limited not only work on Native Americans, but also work sociology of emotions and theories of race and ethnicity, and has masked the theoretical significance of environmental justice. Taking seriously the experiences of Native people and the importance of the natural environment offers an opportunity to extend sociological analyses of power and to move sociology toward a more decolonized discipline.     

Predicting What Will Happen When You Intervene

This paper offers some rules of thumb that practicing social workers can use for case studies that aim to construct, albeit not fully and never entirely reliably, models designed to help predict what will happen if they intervene in specific ways to help this particular client, here and now. We call these ’ex ante case-specific causal models’. ’Ex ante’ because they are for before-the-fact prediction of what the likely effects of proposed actions are. ’Case-specific’ because we are not concerned with studies that provide evidence for some general conclusion but rather with using what general and local knowledge one can get to predict what will happen to a specific client in the real settings in which they live. ’Causal’ because this kind of case study aims to trace out as best possible the web of causal processes that will be responsible for what happens. In this sense our case studies resemble post facto realist evaluations.     

Parallel inference for massive distributed spatial data using low-rank models

Due to rapid data growth, statistical analysis of massive datasets often has to be carried out in a distributed fashion, either because several datasets stored in separate physical locations are all relevant to a given problem, or simply to achieve faster (parallel) computation through a divide-and-conquer scheme. In both cases, the challenge is to obtain valid inference that does not require processing all data at a single central computing node. We show that for a very widely used class of spatial low-rank models, which can be written as a linear combination of spatial basis functions plus a fine-scale-variation component, parallel spatial inference and prediction for massive distributed data can be carried out exactly, meaning that the results are the same as for a traditional, non-distributed analysis. The communication cost of our distributed algorithms does not depend on the number of data points. After extending our results to the spatio-temporal case, we illustrate our methodology by carrying out distributed spatio-temporal particle filtering inference on total precipitable water measured by three different satellite sensor systems.