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• W2737419427 abstract "In this article, we provide a brief tutorial on the estimation, analysis, and simulation on attitude networks using the programming language R. We first discuss what a network is and subsequently show how one can estimate a regularized network on typical attitude data. For this, we use open-access data on the attitudes toward Barack Obama during the 2012 American presidential election. Second, we show how one can calculate standard network measures such as community structure, centrality, and connectivity on this estimated attitude network. Third, we show how one can simulate from an estimated attitude network to derive predictions from attitude networks. By this, we highlight that network theory provides a framework for both testing and developing formalized hypotheses on attitudes and related core social psychological constructs." @default.
• W2737419427 created "2017-07-31" @default.
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• W2737419427 date "2017-07-01" @default.
• W2737419427 modified "2023-10-16" @default.
• W2737419427 title "Network Analysis on Attitudes" @default.
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• W2737419427 doi "https://doi.org/10.1177/1948550617709827" @default.
• W2737419427 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5582642" @default.
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• W2737419427 hasPublicationYear "2017" @default.
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