Loneliness and Adolescents’ Neural Processing of Self,Friends, and Teachers: Consequences for the School Self‐Concept

The present interdisciplinary study explored whether perceived loneliness is associated with ventromedial prefrontal cortex (vMPFC) activation during self‐ and social judgments (friends and teachers) in adolescents. Moreover, we examined how vMPFC activity is related to the academic self‐concept (ASC). Results of manifest path analysis indicated that high perceived loneliness was related to lower neural response to self‐judgments. In turn, high neural response to self‐judgments was positively associated with the ASC, whereas there was a trendwise negative association between high neural response to teacher‐related judgments and ASC. This study reveals associations between perceived loneliness and neural processing of the self, underlining the idea that feeling isolated from others may hinder self‐insight and, by extension, the formation of a stable academic self‐concept.     

Financial capability and psychological health

Financial capability is receiving increasing interest among policy makers, who wish to reduce problem debt and welfare dependency and increase savings and general skills. We examine whether financial capability has impacts on psychological health independent of income and financial resources more generally using a nationally representative survey. Data from the British Household Panel Survey 1991-2006 are used to construct a measure of financial capability, which we relate to respondents’ psychological health using the 12-item General Health Questionnaire. Estimates from within-group panel data models indicate that financial capability has significant and substantial effects on psychological health over and above those associated with income and material wellbeing more generally. For men, having low financial capability has an effect larger than that associated with being unemployed, while for women it is similar to that of being divorced. Furthermore having low financial capability exacerbates the psychological costs associated with unemployment and divorce, while high financial capability reduces these costs.     

The influence of riparian corridor width on ant and plant assemblages in northern Sydney,Australia

Protecting riparian corridors is a commonly applied environmental policy in urban landscapes. However, empirical data demonstrating their efficacy for biodiversity conservation outcomes is scarce. In this study we investigated whether riparian corridor width influences the diversity and community structure of ant (Hymenoptera: Formicidae) and vascular plant assemblages therein. Eighteen corridors of differing widths were selected from within the Ku-ring-gai Local Government Area, Sydney Australia. Ants were sampled using pitfall traps positioned within rectangular vegetation transects (30 × 10 m). Both ant and plant species richness, when standardised for sampling effort, were unrelated to riparian corridor width. However, significant compositional differences between sites were evident with increased width up to ~50 m. Narrow corridors contained greater abundances of opportunistic ant species and higher proportions of exotic plants. We interpret this to be the result of the greater disturbance/edge influence derived from adjacent upland urban environments. Site beta diversity did not increase with corridor width, suggesting that the exclusion of novel upslope habitats in narrow riparian corridors is not a significant cause of community assemblage modification at these sites. To minimise the impact of deleterious edge effects on ant fauna, environmental managers should seek to retain riparian corridors wider than ~50 m. However, we observed substantial between-site variability of biotic assemblages, irrespective of corridor width. Therefore we recommend that environmental management practice needs to take a catchment-wide approach and consider other parameters that may contribute to riparian health so as to optimise the protection of riparian biodiversity.     

KIDS OR CASH? EXPLORING CHARTER SCHOOL RESPONSES TO DECLINING GOVERNMENT REVENUES

While the literature is extensive on school districts' revenue sources, less research has been done on the impact of donations on school district funds. In this paper, we extend the theoretical literature on crowding out of private donations by government grants for one type of nonprofit firm, namely charter schools. The theoretical model leads us to focus on the key relationships among fundraising effort, enrollment (which is tied to federal and state funding) and donations. Using a dataset on Texas charter schools we adopt a two-stage approach to examine the empirical relationship between changes in nondonor revenues and the donations received by charter schools. Like the extensive empirical estimates of the effects of government grants on donations for other types of nonprofit firms, we find evidence of crowding-out with respect to our sample of charter schools. We also find a significant, positive effect of fundraising on donations with a $1 increase in fundraising associated to a $0.58 increase in donations, a pattern consistent with overinvestment in fundraising. Enrollments exhibit a robust inverse relationship to changes in nondonor revenues. (JEL H00, H32, H50)     

Inferactive data analysis

We describe inferactive data analysis, so-named to denote an interactive approach to data analysis with an emphasis on inference after data analysis. Our approach is a compromise between Tukey's exploratory and confirmatory data analysis allowing also for Bayesian data analysis. We see this as a useful step in concrete providing tools (with statistical guarantees) for current data scientists. The basis of inference we use is (a conditional approach to) selective inference, in particular its randomized form. The relevant reference distributions are constructed from what we call a DAG-DAG—a Data Analysis Generative DAG, and a selective change of variables formula is crucial to any practical implementation of inferactive data analysis via sampling these distributions. We discuss a canonical example of an incomplete cross-validation test statistic to discriminate between black box models, and a real HIV dataset example to illustrate inference after making multiple queries on data.     

Leadership behaviour and leader self-reported well-being: A review,integration and meta-analytic examination

ABSTRACT

While the link between leadership and follower well-being is well established, less is known about the relation between leaders’ leadership behaviour and their own well-being. Particularly, a systematic integration of existing studies is missing. Based on an integrated framework summarising major theories on the leader well-being–leadership link, we quantitatively synthesised findings on the relations between different leadership behaviours and leader well-being indicators. The meta-analytical results (95 effect sizes; N?=?12,617) confirmed significant relationships of constructive and destructive leadership with leader well-being in the expected directions. Relative weight analyses on the constructive leadership behaviours showed that change-oriented and relational-oriented leadership (e.g. transformational, participative) accounted for more variance in leader well-being than task-oriented leadership (e.g. transactional). Regarding destructive leadership, active destructive leadership (e.g. abusive supervision) showed stronger negative associations with leader well-being than passive leadership (e.g. laissez-faire). Based on our integrated framework, we proposed and found support for divergent patterns of associations for different forms of well-being (positive vs. negative, short-term vs. long-term, job-related vs. general). Our study demonstrates a considerable linkage between leader well-being and leadership, supporting the adoption of leadership development programmes and organisational health interventions for leaders given their impact on employees, teams and organisations.