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Tytuł:
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Psychological Drivers of Individual Differences in Risk Perception: A Systematic Case Study Focusing on 5G.
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Autorzy:
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Frey R; Department of Psychology, Center for Cognitive and Decision Sciences, University of Basel.
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Źródło:
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Psychological science [Psychol Sci] 2021 Oct; Vol. 32 (10), pp. 1592-1604. Date of Electronic Publication: 2021 Sep 22.
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Typ publikacji:
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Journal Article; Research Support, Non-U.S. Gov't
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Język:
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English
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Imprint Name(s):
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Publication: 2010-> : Thousand Oaks, CA : Sage
Original Publication: New York, NY : Cambridge University Press, c1990-
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MeSH Terms:
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Individuality*
Intention*
Adolescent ; Adult ; Aged ; Aged, 80 and over ; Attitude ; Humans ; Middle Aged ; Perception ; Trust ; Young Adult
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Contributed Indexing:
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Keywords: 5G; individual differences; modeling; open data; open materials; preregistered; radiation; risk perception
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Entry Date(s):
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Date Created: 20210922 Date Completed: 20211022 Latest Revision: 20211022
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Update Code:
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20240105
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DOI:
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10.1177/0956797621998312
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PMID:
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34550820
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What drives people's perceptions of novel risks, and how malleable are such risk perceptions? Psychological research has identified multiple potential drivers of risk perception, but no studies have yet tested within a unified analytic framework how well each of these drivers accounts for individual differences in large population samples. To provide such a framework, I harnessed the deployment of 5G-the latest generation of cellular network technology. Specifically, I conducted a multiverse analysis using a representative population sample in Switzerland (Study 1; N = 2,919 individuals between 15 and 94 years old), finding that interindividual differences in risk perceptions were strongly associated with hazard-related drivers (e.g., trust in the institutions regulating 5G, dread) and person-specific drivers (e.g., electromagnetic hypersensitivity)-and strongly predictive of people's policy-related attitudes (e.g., voting intentions). Further, a field experiment based on a national expert report on 5G ( N = 839 individuals in a longitudinal sample between 17 and 79 years old) identified links between intraindividual changes in psychological drivers and perceived risk, thus highlighting potential targets for future policy interventions.