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Trait Anxiety and Economic Risk Avoidance Are Not Necessarily Associated: Evidence from the Framing Effect

Overview of attention for article published in Frontiers in Psychology, January 2017
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Title
Trait Anxiety and Economic Risk Avoidance Are Not Necessarily Associated: Evidence from the Framing Effect
Published in
Frontiers in Psychology, January 2017
DOI 10.3389/fpsyg.2017.00092
Pubmed ID
Authors

Ruolei Gu, Runguo Wu, Lucas S. Broster, Yang Jiang, Rui Xu, Qiwei Yang, Pengfei Xu, Yue-Jia Luo

Abstract

According to previous literature, trait anxiety is related to the tendency to choose safety options during risk decision-making, that is, risk avoidance. In our opinion, anxious people's risk preference might actually reflect their hypersensitivity to emotional information. To examine this hypothesis, a decision-making task that could elicit the framing effect was employed. The framing effect indicates that risk preference could be modulated by emotional messages contained in the description (i.e., frame) of options. The behavioral results have showed the classic framing effect. In addition, individual level of trait anxiety was positively correlated with the framing effect size. However, trait anxiety was not correlated with risk-avoidance ratio in any condition. Finally, the relationship between anxiety and the framing effect remained significant after the level of depression was also taken into account. The theoretical significance and the major limitations of this study are discussed.

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Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 17%
Student > Bachelor 5 12%
Student > Doctoral Student 4 10%
Student > Postgraduate 4 10%
Researcher 3 7%
Other 6 15%
Unknown 12 29%
Readers by discipline Count As %
Psychology 16 39%
Neuroscience 4 10%
Business, Management and Accounting 2 5%
Computer Science 2 5%
Social Sciences 1 2%
Other 3 7%
Unknown 13 32%