The dark side of leadership: A systematic review of creativity and innovation

It is believed that workplace creativity and innovation are fostered by positive leader behaviors and positive workplace relationships and hindered by the opposite. However, some challenge this view and argue that creativity and innovation can also be fostered when employees experience what is increasingly referred to as “the dark side of leadership”. Research in this area is sparse, contradictory, and overly confusing. We provide a comprehensive systematic review of 106 empirical studies on this topic. We review research on a broad range of constructs, including abusive supervision, authoritarian leadership, narcissistic leadership, and close monitoring. As might be expected, a larger number of the articles reviewed found a negative relationship, but there are important discrepancies and details. Our review reports the main effects, summarizes the results of the mediating and moderating variables, and highlights methodological shortcomings of the previous literature. On this basis, several recommendations are made to advance this field of research.     

Age of Onset in Pathological Gambling: Clinical,Therapeutic and Personality Correlates

We aimed to explore the association between age of onset of gambling problems and current psychopathological and clinical status, personality profile and therapeutic outcome in a sample of pathological gamblers. A total of 904 consecutive pathological gambling patients were administered several instruments about gambling behavior, psychopathology and personality. They received a 4-month cognitive-behavioral group treatment. Information of dropouts and relapses during treatment was registered. Older age of onset of gambling problems was associated with higher general psychopathology (SCL-90-R Paranoid Ideation, Psychoticism, Depression; P < 0.015). Younger age of onset was related to greater severity of pathological gambling (P < 0.015), higher novelty seeking, and lower self-directedness (P < 0.015). No statistically significant association was found between age of onset and relapse and dropouts during treatment. Age of onset of gambling problems seems to influence the clinical presentation of pathological gambling but not treatment outcome.     

Compulsory Income Management in the Northern Territory – evaluating its impact

Australia has been experimenting with constraining the ways in which welfare recipients can spend their income support payments, limiting their ability to access cash and purchase some products. The policy objectives include to reduce spending on alcohol, gambling, pornography and tobacco in favour of meeting ‘basic’ family needs, especially for children, to limit the scope for financial harassment, encourage pro‐social behaviours, and build financial capabilities. In the logic of the programs these outcomes are expected to be manifest at the individual, family and community levels. The policy has primarily impacted on Indigenous Australians as a result of its geographic targeting, although a recent report has recommended a more stringent version of the program be introduced universally to all welfare recipients other than the aged. The largest of these experiments is ‘New Income Management’ in the Northern Territory, which has had more than 35,000 participants since its introduction in 2010. This article reports on the key findings of the major independent evaluation of New Income Management commissioned by the Australian Government.     

Asymptotic Properties for a Class of Partially Identified Models

We propose inference procedures for partially identified population features for which the population identification region can be written as a transformation of the Aumann expectation of a properly defined set valued random variable (SVRV). An SVRV is a mapping that associates a set (rather than a real number) with each element of the sample space. Examples of population features in this class include interval‐identified scalar parameters, best linear predictors with interval outcome data, and parameters of semiparametric binary models with interval regressor data. We extend the analogy principle to SVRVs and show that the sample analog estimator of the population identification region is given by a transformation of a Minkowski average of SVRVs. Using the results of the mathematics literature on SVRVs, we show that this estimator converges in probability to the population identification region with respect to the Hausdorff distance. We then show that the Hausdorff distance and the directed Hausdorff distance between the population identification region and the estimator, when properly normalized by , converge in distribution to functions of a Gaussian process whose covariance kernel depends on parameters of the population identification region. We provide consistent bootstrap procedures to approximate these limiting distributions. Using similar arguments as those applied for vector valued random variables, we develop a methodology to test assumptions about the true identification region and its subsets. We show that these results can be used to construct a confidence collection and a directed confidence collection. Those are (respectively) collection of sets that, when specified as a null hypothesis for the true value (a subset of values) of the population identification region, cannot be rejected by our tests.     

Clustering microarray data using model-based double K-means

The microarray technology allows the measurement of expression levels of thousands of genes simultaneously. The dimension and complexity of gene expression data obtained by microarrays create challenging data analysis and management problems ranging from the analysis of images produced by microarray experiments to biological interpretation of results. Therefore, statistical and computational approaches are beginning to assume a substantial position within the molecular biology area. We consider the problem of simultaneously clustering genes and tissue samples (in general conditions) of a microarray data set. This can be useful for revealing groups of genes involved in the same molecular process as well as groups of conditions where this process takes place. The need of finding a subset of genes and tissue samples defining a homogeneous block had led to the application of double clustering techniques on gene expression data. Here, we focus on an extension of standard K-means to simultaneously cluster observations and features of a data matrix, namely double K-means introduced by Vichi (2000). We introduce this model in a probabilistic framework and discuss the advantages of using this approach. We also develop a coordinate ascent algorithm and test its performance via simulation studies and real data set. Finally, we validate the results obtained on the real data set by building resampling confidence intervals for block centroids.     

Just for fun? Alcohol and drugs in youth lifestyles: a survey

The article presents an analysis of the relationship between young people and alcohol and drug use, examining both their attitudes and behaviors. The analysis is based on statistics collected through a structured-questionnaire survey of 1071 students from the secondary schools of Rome and the Province. The first part of the article examines patterns and levels of alcohol and drug use and typical places of use. The central part is dedicated to the perceptions and opinions on alcohol and drugs, with particular regard to the dimensions of risk and sociality, and to the different roles of school and family in raising risk awareness. Sociality appears as a crucial element in young people's tendency to associate alcohol and drugs with an effect of relaxation and disinhibition that makes social relations easier. The article finally examines the relationship between young people and social norms, identifying transgressive models and habits. On the whole, the study highlights a connection between alcohol and drug use and desire of sociality, which is experienced more as a situational and ever-changing practice than as a search for close friendships.     

Family Social Networks and Recovery From Severe Mental Illness of Clubhouse Members

This study examined the contribution of family social network variables to recovery among Clubhouse members. A random sample of 118 members from one Clubhouse was recruited for this cross-sectional study. Among all respondents, greater overall family support and better relationship quality with the most supportive network member were correlated with greater levels of recovery. Clubhouse members perceived higher quantity and quality of support and more criticalness from their most supportive network members, principally family members, compared to the rest of their family members. Longitudinal studies are needed to further investigate the relationship between family support and recovery.     

Lesbian and gay men’s perceptions of their local area agency on aging

This article reviews data from a qualitative study of lesbians and gay men about engagement with their local Area Agency on Aging (AAA). Findings include lack of knowledge about the local AAA, feelings of exclusion, and the need for better outreach. It is important that AAAs engage their local lesbian, gay, bisexual, and transgender (LGBT) elders, as data show they are at higher risk for aging alone and can often harbor mistrust of formal services due to lifetimes of discrimination. Suggestions on where AAAs can find training and resources on reaching out to the LGBT older adult community and implications for the profession of social work are provided.     

Framing authoritarian legitimacy: elite cohesion in the aftermath of popular rebellion

ABSTRACT

Protest activity presents a significant threat to state legitimacy in nondemocratic settings. Although authoritarian regimes rely heavily on coercion, state officials must also justify their authority to both the public and other elites. Previous work has shown how elites vilify challengers to legitimize repression, but scholars have yet to examine how state officials engage in meaning work to prevent elite divisions from forming in light of popular challenges to regime legitimacy. In this study, we examine elite framing processes in a case of popular resistance to a 1953 currency reform in Communist Czechoslovakia. Using archival material, we trace the inter- and intra-organizational processes through which officials construct legitimacy claims by explaining and adjudicating blame for the popular rebellion. Results indicate that authoritarian rulers relied on a variety of discursive mechanisms to generate consensus among subordinate elites and protect regime legitimacy. We conclude by discussing implications for research on authoritarianism and social movements.