Two experiments examined the link between interpretation and memory in individuals diagnosed with Generalized Social Phobia (GSP). In Experiment 1, GSP and control participants generated continuations for nonsocial and ambiguous social scenarios. GSP participants produced more socially anxious and negative continuations for the social scenarios than did the controls. On the subsequent test of r...

BACKGROUND School closure is a key component of many countries' plans to mitigate the effect of an influenza pandemic. Although a number of studies have suggested that such a policy might reduce the incidence, there are no published studies of the cost of such policies. This study attempts to fill this knowledge gap METHODS School closure is expected to lead to significant work absenteeism of...

background: there is some evidence indicating improvement in myocardial performance after atrial septal defect closure, either device closure or surgical, but ventricular dyssynchrony has not been evaluated before and after surgical closure. the aim of this study was to evaluate ventricular mechanical dyssynchrony in patients with atrial septal defect before and after surgical closure. methods:...

The authors investigate whether need for closure affects how people seek order in judging social relations. In Study 1, the authors find that people who have a high need for closure (NFC) were more likely to assume their social contacts were connected to each other (i.e., transitivity) when this was not the case. In Studies 2 and 3, the authors examine another form of order in network relations...

Analyzing political conservatism as motivated social cognition integrates theories of personality (authoritarianism, dogmatism-intolerance of ambiguity), epistemic and existential needs (for closure, regulatory focus, terror management), and ideological rationalization (social dominance, system justification). A meta-analysis (88 samples, 12 countries, 22,818 cases) confirms that several psycho...

The exponential random graph model (ERGM) is a well-established statistical approach to modelling social network data. However, Monte Carlo estimation of ERGM parameters is a computationally intensive procedure that imposes severe limits on the size of full networks that can be fitted. We demonstrate the use of snowball sampling and conditional estimation to estimate ERGM parameters for large n...