Masterarbeit, 2011
71 Seiten, Note: 1,0
This master thesis aims to critically examine the conclusions drawn from the article "In Search of Homo Economicus" by Amir, Ariely, and Lee (2009), which suggests that individuals who rely more on feelings exhibit greater consistency in their preferences compared to those who base decisions on analysis and deliberation. The thesis investigates this assertion through the implementation of two experiments, building upon the original work of Amir, Ariely, and Lee.
The first chapter introduces the topic of preference consistency and presents the research hypothesis, which seeks to challenge the findings of Amir, Ariely, and Lee. Chapter two provides a theoretical foundation by examining concepts like emotional versus cognitive decision making, the measure of inconsistency, priming, and the experimental setup employed by Amir, Ariely, and Lee. Chapter three outlines the specific research hypothesis, and chapter four details the experimental setup employed in the present study.
Chapters five and six focus on proband recruitment and the initial analysis of the collected data. Chapter seven delves into statistical tests conducted to examine differences between groups, considering various factors like outliers, consistency levels, interquartile ranges, age, gender, and data recording time. Chapter eight presents a modified version of the experiment, detailing its setup, descriptive statistics, and hypothesis testing. Finally, chapter nine offers a critical analysis of the experimental design, methodology, and evaluation techniques used in both Amir, Ariely, and Lee's study and the present research.
The central keywords and focus topics of this research include preference consistency, emotional and cognitive decision making, the influence of metaphors, experimental design and data analysis, and a critical examination of existing research methodologies. The study seeks to further explore the relationship between decision-making styles and preference consistency through empirical analysis, drawing upon the framework developed by Amir, Ariely, and Lee.
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