229 resultados para Cognitive reappraisal


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Identification of neuroimaging biomarkers following extreme prematurity (EP) and intrauterine growth restriction (IUGR) is crucial for understanding their cognitive and behavioral impairments at school age

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This research examines employees' anticipation of social and self-sanctions as a self-regulatory mechanism linking workgroup climates and counterproductive work behaviors (CWBs) and personality as a limit to these effects. A cross-level study with 158 employees from 26 workgroups demonstrated that in groups with a high compliance climate-a climate emphasizing the importance of complying with organizational rules-employees anticipate more social and self-sanctions, leading those low in conscientiousness and low in agreeableness to engage less frequently in CWBs. In contrast, a high relational climate-a climate emphasizing the importance of positive social relations over self-interest-indirectly unbridles the CWBs of these employees by alleviating the social and self-sanctions they anticipate for CWBs. Climates did not have indirect effects for employees high in agreeableness and high in conscientiousness. These findings elucidate why workgroup climates do not affect the CWBs of all members in the same way.

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We apply the cognitive hierarchy model of Camerer et al. (Q J Econ 119(3):861-898, 2004)-where players have different levels of reasoning-to Huck et al. (Games Econ Behav 38:240-264, 2002) discrete version of Hamilton and Slutsky (Games Econ Behav 2:29-46, 1990) action commitment game-a duopoly with endogenous timing of entry. We show that, for an empirically reasonable average number of thinking steps, the model rules out Stackelberg equilibria, generates Cournot outcomes including delay, and outcomes where the first mover commits to a quantity higher than Cournot but lower than Stackelberg leader. We show that a cognitive hierarchy model with quantal responses can explain the most important features of the experimental data on the action commitment game in (2002). In order to gauge the success of the model in fitting the data, we compare it to a noisy Nash model. We find that the cognitive hierarchy model with quantal responses fits the data better than the noisy Nash model.