A Bayesian Network Perspective on an Attributional Model of Reactions Toward People with HIV

IF 0.2 Q4 PSYCHOLOGY Actualidades en Psicologia Pub Date : 2023-09-04 DOI:10.15517/ap.v37i134.46758
Angelo Brandelli Costa, Felipe Vilanova, Fernando Martins de Azevedo, Gisela Steins
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Abstract

Objective. Attributional theory has been widely studied to understand the overall perceptions regarding people suffering from negative events such as an HIV infection. The aim of the present study is to test the overall attribution model and its influence on the willingness to help, considering emotional reactions related to an HIV-infected individual. Method. We used a Bayesian network to analyze the association between attributions of causality (blame, responsibility, and control), willingness to help, and emotional reactions (anger and sympathy) toward an HIV-infected patient. Three hundred and fifty-eight individuals participated in the study. Results. Using the overall model, we found two different results: Anger contributed to the cognitive processes of attribution, and sympathy contributed to the behavioral willingness to help the patient.
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基于贝叶斯网络的HIV感染者反应归因模型
客观的归因理论已被广泛研究,以了解人们对遭受艾滋病毒感染等负面事件的总体看法。本研究的目的是测试整体归因模型及其对帮助意愿的影响,考虑到与HIV感染者相关的情绪反应。方法我们使用贝叶斯网络来分析因果关系(指责、责任和控制)、帮助意愿和对HIV感染患者的情绪反应(愤怒和同情)之间的关联。358人参与了这项研究。后果使用整体模型,我们发现了两个不同的结果:愤怒有助于归因的认知过程,同情有助于帮助患者的行为意愿。
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来源期刊
CiteScore
0.30
自引率
11.10%
发文量
14
审稿时长
20 weeks
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