Developmental Differences in Infants' Attention to Social and Nonsocial Threats

Research has demonstrated that humans detect threatening stimuli more rapidly than nonthreatening stimuli. Although the literature presumes that biases for threat should be normative, present early in development, evident across multiple forms of threat, and stable across individuals, developmental work in this area is limited. Here, we examine the developmental differences in infants' (4‐ to 24‐month‐olds) attention to social (angry faces) and nonsocial (snakes) threats using a new age‐appropriate dot‐probe task. In Experiment 1, infants' first fixations were more often to snakes than to frogs, and they were faster to fixate probes that appeared in place of snakes vs. frogs. There were no significant age differences, suggesting that a perceptual bias for snakes is present early in life and stable across infancy. In Experiment 2, infants fixated probes more quickly after viewing any trials that contained an angry face compared to trials that contained a happy face. Further, there were age‐related changes in infants' responses to face stimuli, with a general increase in looking time to faces before the probe and an increase in latency to fixate the probe after seeing angry faces. Together, this work suggests that different developmental mechanisms may be responsible for attentional biases for social vs. nonsocial threats.     

A Systems Approach to the Policy‐Level Risk Assessment of Exotic Animal Diseases: Network Model and Application to Classical Swine Fever

Exotic animal diseases (EADs) are characterized by their capacity to spread global distances, causing impacts on animal health and welfare with significant economic consequences. We offer a critique of current import risk analysis approaches employed in the EAD field, focusing on their capacity to assess complex systems at a policy level. To address the shortcomings identified, we propose a novel method providing a systematic analysis of the likelihood of a disease incursion, developed by reference to the multibarrier system employed for the United Kingdom. We apply the network model to a policy‐level risk assessment of classical swine fever (CSF), a notifiable animal disease caused by the CSF virus. In doing so, we document and discuss a sequence of analyses that describe system vulnerabilities and reveal the critical control points (CCPs) for intervention, reducing the likelihood of U.K. pig herds being exposed to the CSF virus.     

Participation as a right to the city: Iranian children’s perspectives about their inclusion in urban decision-making

To assess children's willingness to participate in decision-making about urban environments, Iranian children were invited to tell their stories about child inclusion in city affairs. The findings demonstrate children's enthusiasm to have a say, their suggestions of how their ideas can be integrated into planning, and their competency for participation. Despite their willingness, participants indicated awareness of patriarchal cultural views of children and childhood which continue to exclude them from planning involvement. Being denied the exercise of their rights to the city generates a marginalised status, alienating children from achieving appropriate engagement.     

The impact of socioeconomic status and population size on the use of the Tatar language at home

Based on econometric methods, we found that Tatar children from families with better material conditions and those who live in bigger cities are more likely to use the Russian language at home. Although Tatar seems to be well protected, thanks to local language policies after perestroika, we found some warning signs for the reformulation of public policies for the maintenance and development of minority languages in Russia.     

Crown width models for woody plant species growing in urban areas of the U.S.

Urban Ecosystems - Crown widths of woody plant species growing in urban areas are of considerable importance as an overall indicator of health and also serve as an important factor for assessing...     

Relationships as a key to change. Ed Schein on the legacy and future of Change Management

Ed Schein is a Sloan Professor emeritus for organization psychology and management at the Massachusetts Institute of Technology (MIT) in Cambridge. Amongst Kurt Lewin, Dick Beckhard, Chris Argyris and Warren Bennis he is one of the co-founders of organization development. He has coined some of the basic concepts of OD, like organizational culture, process consultation and career anchors. Schein has authored fourteen books and received many notable honours and awards, e.g. the lifetime achievement award in workplace learning and performance of the American society for training directors and the distinguished Scholar-Practitioner Award of the Academy of Management. Currently, he serves as a professional fellow at the prestigious American Psychological Association as well as the Academy of Management.

     

A Rationale for Teaching Communication Skills to the Culturally Deprived

This paper presents a theoretical rationale for explaining the learning and achievement weaknesses noted in ‘culturally deprived’ children. Based on a theory of social competence which reveals schools as denying the validity of such children's experiences and ignoring the different competences they bring with them to the learning situation, the model suggests new teaching strategies which develop ‘first-order’ communication outputs as a prerequisite to ‘higher-order’ cognitive outputs. Research evidence of the applicability of the model is examined and an attempt to apply the teaching strategies in Australia is described.     

Nonparametric methods in factorial designs

Summary In this paper, we summarize some recent developments in the analysis of nonparametric models where the classical models of ANOVA are generalized in such a way that not only the assumption of normality is relaxed but also the structure of the designs is introduced in a broader framework and also the concept of treatment effects is redefined. The continuity of the distribution functions is not assumed so that not only data from continuous distributions but also data with ties are included in this general setup. In designs with independent observations as well as in repeated measures designs, the hypotheses are formulated by means of the distribution functions. The main results are given in a unified form. Some applications to special designs are considered, where in simple designs, some well known statistics (such as the Kruskal-Wallis statistic and the χ²-statistic for dichotomous data) come out as special cases. The general framework presented here enables the nonparametric analysis of data with continuous distribution functions as well as arbitrary discrete data such as count data, ordered categorical and dichotomous data. Received: October 13, 1999; revised version: June 26, 2000