Predicting children's internalizing symptoms across development from early emotional reactivity

Current methods of assessing children's emotional reactivity fail to capture individual differences in emotion across contexts that may be meaningfully related to youth psychopathology. We therefore explored the utility of modeling variability in young children's positive and negative emotion across emotionally evocative laboratory tasks to predict later adjustment. At age 3, 409 children completed a battery of laboratory tasks eliciting either positive or negative affect. We used latent difference score (LDS) modeling to predict children's caregiver-reported internalizing symptoms across ages 3, 5, 8, and 11 from variability in their observer-rated positive and negative emotion across laboratory tasks. We found that sex moderated the association between both average and variability measures of children's negative emotion at age 3 and trajectories of their anxious-depressive symptoms across childhood. Measures of emotion variability predicted children's internalizing symptoms above and beyond measures of average emotion. Variability indices also provided unique information about the trajectories of children's symptoms. We discuss implications for the utility of LDS modeling in assessing children's emotional reactivity.     

Simultaneous inference for functional data in sports biomechanics

AStA Advances in Statistical Analysis - The recent sports science literature conveys a growing interest in robust statistical methods to analyze smooth, regularly-sampled functional data. This...     

Looking for ‘social work’ in school social work

School social workers can be seen as a professional group operating on the margin of an educational logic that dominates schools as institutions. This conditions what tasks they are assigned and what aspects of social work knowledge they will find relevant. On the other hand, the role as a sole professional and relative outsider in the organization provides a potential for school social workers to transcend established theories of social work practice. This article aims to investigate how social work theory is applied in school social work. Twelve semi-structured interviews with school social workers were analysed in terms of how they relate to four knowledge approaches derived from the literature: task-centred, systems theory, strengths and anti-oppressive. Contrary to claims within the sociology of professions that social work practice is formed largely by organizational context rather than a discipline-specific knowledge base, the interviewees seemed to lean on a robust professional foundation within social work theory. Interviewees strongly emphasised their role as working for the individual pupil and positioned themselves as somewhat in opposition to a somewhat oppressive school environment.     

Testing for panel cointegration in an error-correction framework with an application to the Fisher hypothesis

In this article, three innovative panel error-correction model (PECM) tests are proposed. These tests are based on the multivariate versions of the Wald (W), likelihood ratio (LR), and Lagrange multiplier (LM) tests. Using Monte Carlo simulations, the size and power of the tests are investigated when the error terms exhibit both cross-sectional dependence and independence. We find that the LM test is the best option when the error terms follow independent white-noise processes. However, in the more empirically relevant case of cross-sectional dependence, we conclude that the W test is the optimal choice. In contrast to previous studies, our method is general and does not rely on the strict assumption that a common factor causes the cross-sectional dependency. In an empirical application, our method is also demonstrated in terms of the Fisher effect—a hypothesis about the existence of which there is still no clear consensus. Based on our sample of the five Nordic countries we utilize our powerful test and discover evidence which, in contrast to most previous research, confirms the Fisher effect.     

Vulnerability of ten major Nordic cities to potential tree losses caused by longhorned beetles

Urban Ecosystems - Urban forest and urban trees are currently facing several challenges arising from a changing climate, complex inner-city environments and severe threats of pathogen and insect...     

A Tobit Ridge Regression Estimator

This article analyzes the effects of multicollienarity on the maximum likelihood (ML) estimator for the Tobit regression model. Furthermore, a ridge regression (RR) estimator is proposed since the mean squared error (MSE) of ML becomes inflated when the regressors are collinear. To investigate the performance of the traditional ML and the RR approaches we use Monte Carlo simulations where the MSE is used as performance criteria. The simulated results indicate that the RR approach should always be preferred to the ML estimation method.     

Perspectives on narrative methods in social work research

Larsson S, Sjöblom Y. Perspectives on narrative methods in social work research Int J Soc Welfare 2010: 19: 272–280 © 2009 The Author, Journal compilation © 2009 Blackwell Publishing Ltd and the International Journal of Social Welfare. The narrative turn has entered many different academic disciplines and is now also emerging in social work. This article focuses on a discussion of the possibilities and limitations of doing narrative research in social work, including a scrutiny of definitions and of a number of theoretical and methodological arguments often used by some of the leading narrative researchers.     

Challenging the Roles of “Skilled” Professionals and “Risky” Young Mothers: Peer Support,Expertise, and Relational Patterns in Facebook Groups

Today, many countries spend a great deal of money and effort on programs for expert-guided parenting support to be carried out in face-to-face groups. One goal of such support is to target, help, and educate “risky” groups of parents, such as young parents. It is striking, however, that young parents have a conspicuously low degree of participation in this type of parenting support. Drawing on the assumption that many young parents go online to seek, give, and receive peer parenting support, this paper presents a case study of activities within three Facebook groups. Using a combination of social network analysis, online ethnography, and interviews, we analyze how social network relationships and discussions differ depending on whether the analyzed Facebook group in question is administrated by professionals or peers, what the role of professional experts is, and how young parents might use social media to take control of their own support needs. Our results indicate that some of the affordances provided by Facebook might contribute to a challenging of the roles of “skilled” professionals versus “risky” young parents.