Academic Journal
Explaining the Prevalence of COVID-19 Based on Games Theory and Predicting Non-vaccination as a Free Riding Behavior through Dark Personality Traits
العنوان: | Explaining the Prevalence of COVID-19 Based on Games Theory and Predicting Non-vaccination as a Free Riding Behavior through Dark Personality Traits |
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المؤلفون: | Seyedeh Sara Shakeri, roshanak khodabakhsh pirkalani |
المصدر: | Faṣlnāmah-i Farhang Mushavirah va Ravān/Darmānī, Vol 13, Iss 50, Pp 129-154 (2022) |
بيانات النشر: | Allameh Tabataba'i University Press, 2022. |
سنة النشر: | 2022 |
المجموعة: | LCC:Psychology |
مصطلحات موضوعية: | covid-19, dark personality traits, free riding behavior, games theory, vaccination, Psychology, BF1-990 |
الوصف: | Numerous studies have shown that game theory, and in particular the public goods perspective, helps to better understand the behavior of individuals in a global pandemic. The aim of the present study is to explain the vaccination program against COVID-19 virus based on game theory of public goods, to predict non-participation in vaccination as a free riding behavior through dark personality traits. 176 Internet participants were selected by convenience sampling method and answered demographic questions and dark personality traits questionnaire. Data were analyzed using SPSS software. Two-way logistic regression was used to predict the variable of participation in vaccination. The results of Homers-Lemshou test showed that the model fits the data well (x2 = 12.249, P |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | Persian |
تدمد: | 2345-6051 2476-6178 |
Relation: | https://qccpc.atu.ac.ir/article_13920_8c7c92139bc67d66891bb63b2192ca28.pdf; https://doaj.org/toc/2345-6051; https://doaj.org/toc/2476-6178 |
DOI: | 10.22054/qccpc.2022.64679.2835 |
URL الوصول: | https://doaj.org/article/e2118c45e6f349ea8a480feb8e6fcd7b |
رقم الانضمام: | edsdoj.2118c45e6f349ea8a480feb8e6fcd7b |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 23456051 24766178 |
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DOI: | 10.22054/qccpc.2022.64679.2835 |