Prosocial and antisocial children's perceptions of peers' motives for prosocial behaviours

This study investigated whether peer‐nominated prosocial and antisocial children have different perceptions of the motives underlying peers' prosocial actions. Eighty‐seven children, aged 10–12 years old, completed peer‐nomination measures of social behaviour. On the basis of numbers of social nominations received, a subsample of 51 children (32 who were peer‐nominated as ‘prosocial’, and 18 who were peer‐nominated as ‘antisocial’) then recorded their perceptions of peers' motives for prosocial behaviours. Expressed motives were categorized predominantly into three categories, coinciding with Turiel's (1978) ‘moral’, ‘conventional’, and ‘personal domains’. Results indicate that children's social reputation is associated with the extent to which they perceive peers' prosocial motives as ‘personal’ or ‘moral’, with more prosocial children attributing moral motives, and more antisocial children attributing personal motives. Although traditionally Turiel's domain theory has been used to understand ‘antisocial’ children's behaviour, the current findings suggest that ‘prosocial’ children's behaviour may also be related to domains of judgment.     

School‐based humanistic counselling for psychological distress in young people: A practice research network to address the attrition problem

Aims: School‐based humanistic counselling (SBHC) is a common psychological intervention for young people, particularly in the UK. However, studies have tended to suffer from high attrition rates, such that effects may have been over‐estimated. This paper describes a low budget ‘star topology’ practice research network (PRN) outcome evaluation of SBHC in a sample where attrition rates were minimised. Design: A practice‐based longitudinal study in a small PRN compared levels of psychological distress at first and last session from session‐by‐session data. Multilevel regression modelling was used to identify predictors of outcomes. Methods: Eight counsellors working across 11 schools agreed to use session‐by‐session self‐rating on the Young Person's CORE (YP‐CORE) yielding data from 256 young people aged 11 to 17. Predictors of outcomes were analysed using multilevel regression analysis. Results: Mean levels of distress on the YP‐CORE reduced from 18.29 (SD = 7.32) at baseline to 9.10 (SD = 6.19) at endpoint, giving a baseline to endpoint effect size of 1.26 (95% CI = 1.06–1.46). Lower levels of psychological distress at endpoint were associated with male clients, younger age groups, greater rates of attendance at counselling, and bereavement as a presenting problem. Conclusions: This ‘star topology’ PRN focused on a single study and demonstrated that such a system can provide relatively low cost, high quality data. The data showed that SBHC is associated with large reductions in psychological distress, and that this cannot be attributed to the high attrition rates of previous datasets.     

Valuing Values: Better Public Engagement on Nanotechnology Demands a Better Understanding of the Diversity of Publics

As public attitude research evolves, often becoming more complex and variable, we are coming to understand that public attitudes are also more complex and variable than can often be captured by a single opinion poll, and more sophisticated forms of analyses are needed that look not just at a breadth of attitudes, but at a breadth of publics. The Australian Department of Industry undertook a public attitude study in 2012 that was not only longitudinal, looking at changes in attitudes towards nanotechnologies, but also looking at the values or worldviews that influence attitudes. The findings allowed for a segmentation of the public, into four key segments, with distinct homogenous attitudes. This allows for not just a deeper understanding of the diversity of views that exist and the worldviews that influence them, but challenges engagement practitioners to ensure they have a broad representation of participants with different attitudes and do not favour one or two segments only.     

When language gets emotional: Irony and the embodiment of affect in discourse

Although there is increasing evidence to suggest that language is grounded in perception and action, the relationship between language and emotion is less well understood. We investigate the grounding of language in emotion using a novel approach that examines the relationship between the comprehension of a written discourse and the performance of affect-related motor actions (hand movements towards and away from the body). Results indicate that positively and negatively valenced words presented in context influence motor responses (Experiment 1), whilst valenced words presented in isolation do not (Experiment 3). Furthermore, whether discourse context indicates that an utterance should be interpreted literally or ironically can influence motor responding, suggesting that the grounding of language in emotional states can be influenced by discourse-level factors (Experiment 2). In addition, the finding of affect-related motor responses to certain forms of ironic language, but not to non-ironic control sentences, suggests that phrasing a message ironically may influence the emotional response that is elicited.     

OpenMx 2.0: Extended Structural Equation and Statistical Modeling

The new software package OpenMx 2.0 for structural equation and other statistical modeling is introduced and its features are described. OpenMx is evolving in a modular direction and now allows a mix-and-match computational approach that separates model expectations from fit functions and optimizers. Major backend architectural improvements include a move to swappable open-source optimizers such as the newly written CSOLNP. Entire new methodologies such as item factor analysis and state space modeling have been implemented. New model expectation functions including support for the expression of models in LISREL syntax and a simplified multigroup expectation function are available. Ease-of-use improvements include helper functions to standardize model parameters and compute their Jacobian-based standard errors, access to model components through standard R $ mechanisms, and improved tab completion from within the R Graphical User Interface.