| Grant number: | 10/11201-9 |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| Start date: | January 01, 2011 |
| End date: | December 31, 2013 |
| Field of knowledge: | Humanities - Psychology - Experimental Psychology |
| Principal Investigator: | Antonio Celso de Noronha Goyos |
| Grantee: | Giovana Escobal |
| Host Institution: | Centro de Educação e Ciências Humanas (CECH). Universidade Federal de São Carlos (UFSCAR). São Carlos , SP, Brazil |
Abstract The Sharing Game: relation with gender and amount of money. Economic games have been useful as experimental models of complex social situations. Psychologists interested in the generosity phenomenon have used economic games to study decision making processes and allocation of resource. One of these games is called The Sharing Game and research has examined some variables that can influence how people allocate resources, among them: gender of the distributor or of the receiver, human interaction versus computed interaction, real monetary incentive or hypothetical monetary incentive, etc. This proposed work aims to initially assess whether and to what extent, distribution strategies in the Sharing Game are affected by the contextual variables gender and amount of money. In a within-subjects design, two experiments will be conducted involving a repeated-trials game over twenty opportunities in which undergraduates will make choices to distribute resources between themselves and an unseen, passive other, either optimally but non-competitively, equally but non-optimally, or least optimally but competitively. An analysis of variance will be conducted to compare the effects of different amounts of money (20 trials for each condition: A, B or C). The study will also allow a comparison between-subjects about the gender of the participants. These games are important because they allow: to analyze contingencies involved in the decision making of people, characterize the choices as ideal, fair and competitive, and bring under scrutiny the examination of possible effects of other variables (e.g., sex, monetary incentive, amount of money, information, etc.) on the distributions of people's choices to determine whether those choices are stable or influenced by these variables. Subsequently the effects of other variables will be analyzed. (AU) | |
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