The emergence and evolution of optimistic expectations in schoolchildren

When we study optimism in children, we note the temporary emergence of a bias that leads them to make optimistic predictions. In this study we intend to learn more about changes that can be observed in the optimistic bias of 6- to 12-year old schoolchildren when they predict future events, and in the way they justify those predictions. A total of 77 pupils participated in this study; we evaluated each one of them individually with a Piagetian interview, asking them to formulate predictions about a series of hypothetical situations. After analyzing whether a child's prediction implied that the situation would maintain itself or would change for better or for worse, we classified the justifications they provided for their predictions. Results show that these subjects regarded positive change as more likely in the case of psychological or hybrid events than for purely biological ones, and that younger children tended to display a greater bias in favor of the likelihood of positive change. These younger children justified their predictions stating that nature or the passing of time could be responsible for the changes, without needing further intervention on the part of other agents. Older children, on the other hand, tended to provide similar kinds of explanations to justify their expectation of stasis.

Patterns of Play in the Fast attack of F. C. Barcelona, Manchester United and F. C. Internazionale Milano: a Mixed Method Approach

This study aimed to detect and analyse regular patterns of play in fast attack of football teams, through the combination of the sequential analysis technique and semi-structured interviews to experienced first League Portuguese coaches. The sample included 36 games (12 games of the respective national leagues per team) of the F.C. Barcelona, Inter Milan, and Manchester United teams that were coded with the observational instrument tool developed by Sarmento et al. (2010) and the data analysed through sequential analysis with the software SDIS-GSEQ 5.0. Based on the detected patterns, semi-structured interviews were carried out to 8 expert high-performance football coaches and data were analysed through the content analysis technique using the software NVivo 10. The detected patterns of play revealed specific characteristics of the teams under study. The combination of the results of sequential analysis with the qualitative interviews to the professional coaches proved to be very fruitful in this game the analysis of scope, allowing reconcile scientific knowledge with practical interpretation of coaches who develop their tasks in the field.