Birds of a feather bully together: Group processes and children's responses to bullying

Recent research has shown that a group‐level analysis can inform our understanding of school bullying. The present research drew on social identity theory and intergroup emotion theory. Nine‐ to eleven‐year olds were randomly assigned to the same group as story characters who were described as engaging in bullying, as being bullied, or as neither engaging in bullying nor being bullied. Participants read a story in which a bully, supported by his or her group, was described as acting unkindly towards a child in a different group. Gender of protagonists and the bully's group norm (to be kind or unkind to other children) were varied. Identification affected responses to the bullying incident, such that those who identified more highly with each group favoured this group. Moreover, children's group membership predicted the group‐based emotions they reported, together with the associated action tendencies. Implications for understanding the processes underlying bullying behaviour are discussed.     

Processing and storage in working memory span

Two experiments are reported that address theoretical assumptions as to the nature of working memory involved in working memory span tasks (Daneman & Carpenter, 1980). Experiment 1 used a version of the sentence span task, and Experiment 2 combined arithmetic verification with recall of presented words. In each experiment, working memory processing span was assessed independently of temporary storage span prior to their combination. Combined task performance under high demand for each component resulted in substantial residual performance for both task elements, particularly in Experiment 2. The results do not challenge the utility of the sentence span task as a measure of on-line cognition, but they raise concerns as to how resource might be allocated to processing and storage elements of the task within a single flexible resource pool, or between different resources of a multiple component working memory system. Although both models lack predictive power regarding resource allocation in these tasks, the multiple resource model appears to offer the better account.