Literature DB >> 16055648

Cultural differences in affective forecasting: the role of focalism.

Kent C H Lam1, Roger Buehler, Cathy McFarland, Michael Ross, Irene Cheung.   

Abstract

The impact bias in affective forecasting-a tendency to overestimate the emotional consequences of future events-may not be a universal phenomenon. This prediction bias stems from a cognitive process known as focalism, whereby predictors focus attention narrowly on the upcoming target event. Three studies supported the hypothesis that East Asians, who tend to think more holistically than Westerners, would be less susceptible to focalism and, consequently, to the impact bias. In Studies 1 and 2, Euro-Canadians exhibited the impact bias for positive future events, whereas East Asians did not. A thought focus measure indicated that the cultural difference in prediction was mediated by the extent to which participants focused on the target event (i.e., focalism). In Study 3, a thought focus manipulation revealed that defocused Euro-Canadians and East Asians made equally moderate affective forecasts.

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Mesh:

Year:  2005        PMID: 16055648     DOI: 10.1177/0146167205274691

Source DB:  PubMed          Journal:  Pers Soc Psychol Bull        ISSN: 0146-1672


  6 in total

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2.  What lies ahead of us? Collective future thinking in Turkish, Chinese, and American adults.

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Journal:  Mem Cognit       Date:  2022-05-20

3.  Bias in Rating of Rodent Distress during Anesthesia Induction for Anesthesia Compared with Euthanasia.

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Review 4.  Affective forecasting: an unrecognized challenge in making serious health decisions.

Authors:  Jodi Halpern; Robert M Arnold
Journal:  J Gen Intern Med       Date:  2008-07-30       Impact factor: 5.128

5.  Realistic affective forecasting: The role of personality.

Authors:  Michael Hoerger; Ben Chapman; Paul Duberstein
Journal:  Cogn Emot       Date:  2015-07-25

6.  Are need for affect and cognition culture dependent? Implications for global public health campaigns: a cross-sectional study.

Authors:  Min Zhang; Bei Zhu; Chunlan Yuan; Chao Zhao; Jiaofeng Wang; Qingwei Ruan; Chao Han; Zhijun Bao; Jie Chen; Kevin Vin Arceneaux; Ryan Vander Wielen; Greg J Siegle
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  6 in total

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