Exposure to Client Trauma,Secondary Traumatic Stress,and the Health of Clinical Social Workers: A Mediation Analysis

While it is widely acknowledged that providing services to traumatized populations may negatively impact the mental health of clinicians, little is known about the impact of exposure to traumatized clients and secondary traumatic stress on the physical health status of clinicians. As such, the twofold purpose of this study was to: (1) document the prevalence of STS in a national (US) sample of clinical social workers, and (2) to examine the relationships between exposure to client trauma, STS, and perceived health of clinical social workers. Specifically, we sought to determine if STS mediates the relationship between exposure to client traumas and perceived health. Results indicate clinicians experience intrusion symptoms most frequently, and a significant portion report arousal and avoidance symptoms. Mediation analyses revealed that exposure to traumatized client populations indirectly influenced clinical social workers’ physical health perceptions by way of secondary traumatic stress. Findings call for increased attention toward prevention and amelioration of secondary traumatic stress symptomology among direct service providers, given both its prevalence and potential impact on physical health. Directions for future research are discussed.     

THE IMPACT OF SKILL ON UNION MEMBERSHIP:

A worker's occupation and industry position in the economy primarily determine gender differences in union membership. However, the data reveal that these economic structural factors are not alone responsible. A specific strategy for rethinking the problem examines bargaining power; skill has been identified as a central factor in worker power. Feminists maintain that gender mediates manual skill's effect on union membership. Logistic regression techniques that test for gender interaction effects support the feminist perspective. Manual skill produces lower rates of union membership for women than men with comparable skills.     

Protest Camps and Repertoires of Contention

Protest camps have become a prominent feature of the post-2010 cycle of social movements and while they have gripped the public and media's imagination, the phenomenon of protest camping is not new. The practice and performance of creating protest camps has a rich history, which has evolved through multiple movements, from Anti-Apartheid to Anti-war. However, until recently, the history of the protest camp as part of the repertoire of social movements and as a site for the evolution of a social movement's repertoire has largely been confined to the histories of individual movements. Consequently, connections between movements, between camps and the significance of the protest camp itself have been overlooked. In this research profile, we argue for the importance of studying protest camps in relation to social movements and the evolution of repertoires noting how protest camps adapt infrastructures and practices from tent cities, festival cultures, squatting communities and land-based autonomous movements. We also acknowledge protest camps as key sites in which a variety of repertoires of contention are developed, tried and tested, diffused or sometimes dismissed. To facilitate the study protest camps we suggest a theory and practice of ‘infrastructural analysis’ and differentiated between four protest camp infrastructures: (1) media & communication, (2) action, (3) governance and (4) re-creation. We then use the infrastructures of media and communications as a brief example as to how our proposed infrastructural analysis can contribute to the study of repertoires and our understanding of the rich dynamics of a protest camp.     

Nonparametrics: The Early Years—Impressions and Recollections

In 1942 Wolfowitz introduced the term nonparametric into the statistical literature to call attention to the need for extending then-existing statistical theory beyond the customary parametric framework. Subsequently, statistical methods that did not depend on a strictly parametric setup became known as nonparametric methods. This article surveys developments in nonparametrics roughly up to 1960. The suggestion is made that statistics might be better served by eliminating the term nonparametric altogether from the statistical vocabulary.     

Pathways to Economic Security: Gender and Nonstandard Employment in Contemporary Japan

Compiling data from several government surveys, this article identifies key social indicators of economic security associated with nonstandard employment in Japan. Empirical trends of nonstandard employment are contextualized in the development of Japanese coordinated capitalism from the economic boom during the 1960s through the recession of the 1990s to the turn of the 21st Century. A case study of Japan, with its high relative and absolute numbers of nonstandard workers, can reveal what happens to economic security when neoliberalism increasingly encroaches on a highly regulated employment relations system. The dramatic increase of nonstandard employment, particularly among women, is rooted in the design of the institutional architecture supporting pillars of the Japanese employment system and its mode of regulation. Based on interviews and a review of labour laws, the article chronicles regulatory reform aimed at stimulating the growth of nonstandard employment as a cheap source of labor with few benefits and limited employment protections. The final section concludes with a proposal for reframing social policies to advance economic security in Japan.

Measuring Social Capital with Aggregated Indicators: A Case of Ecological Fallacy?

Social capital has become a highly successful concept in social science despite widely perceived shortcomings in conceptualization and operationalization. The latter is frequently performed as a principal component analysis of individual survey data with subsequent aggregation to regional or national levels. The central focus of this paper is the interpretation of the diverging correlations observed between the dimensions elaborated on an individual and an aggregate level. We illustrate that the correlations of regionally aggregated components are the result of an improper application of a single-level model to a multilevel structure. This mechanism is demonstrated empirically by adopting results from the European Social Survey and elaborating dimensions of social capital from both individual and aggregate survey data for European regions. The findings clearly indicate that the observed ecological correlations are not simply spurious or inconsistent due to an ecological fallacy condition, but rather reflect the influence of regional driving forces. Researchers need to be more careful in taking account of the multilevel nature of the data in order to produce valid results. In fact, the often applied procedure of individual factorization and subsequent aggregation of data provides a mixture of the two level effects with potentially misleading implications.