网络中影响投票行为因素的多变量评价

Evangelia Nm, C. Théodore
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引用次数: 2

摘要

通过本研究,我们考察了个人特征和网络特征的哪种组合对投票的影响最大,以及哪种组合对投票活动的影响最大。人们属于网络,相互影响。我们考察了性别、网络中关系的类型、不同的行动领域以及政治参与等因素对政治行为的影响程度。我们采用市场营销学科的联合分析方法,通过多维度分析,同时评估不同因素。这种方法检查代表人物概况的有代表性的因素组合。受访者评估并优先考虑不同选民的形象和政治影响情景,揭示了政治影响在网络中发挥作用的机制。这项研究在希腊进行。样本共收集问卷1.103份。目前的研究方法和研究设计可以成为政治运动,政治咨询和政治营销的有用工具,因为它允许专业人员比较地测量和评估不同的参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multivariable Evaluation via Conjoint Analysis of the Factors that Influence Voting Behavior in Networks
With this study, we examine which combination of personal features and network features most influences the vote as well as which combination is most influenced in voting activity. People belong in networks and influence each other. We examine how intense is the influence on political behavior of the factors such as the gender, the type of the relationship in the network, the different spheres of action as well as the involvement in politics. We use the Conjoint Analysis method adopted from the discipline of marketing, where we can assess at the same time different factors via multidimensional analysis. This method examines representative combinations of factors that represent profiles of people. The respondents assess and prioritize the different voters’ profiles and scenarios of political influence revealing the mechanism with which the political influence is exerted in networks. The research took place in Greece. The sample consisted of 1.103 questionnaires collected. The current research methodology as well as the research design could be a useful tool in political campaigns, political consulting and political marketing because it permits professionals to measure and assess different parameters comparatively.
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