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Code and data for the anaylsis of Case study #1 and #2 - Attitudinal Space Framework

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Zenodo2023-03-10 更新2026-05-26 收录
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This is a folder that contains all the necessary material to replicate the analysis of the manuscript entitled "The Attitudinal Space Framework: Embracing the multidimensionality of attitudinal diversity" (Arbieu, U., Albrecht, J., Böhning-Gaese, K., Lehnen, L., Schleuning, M. & Mueller, T.). Case Study #1 is an analysis of affective polarization in the American electorate based on the ANES dataset (publicly available). "Traits_ANES_Pol2_88-08_V2.csv" contains the answers to the questionnaire (see supporting information of the manuscript for more details) and "Communities_ANES_Pol2_88-08_V2.csv" includes the distribution of respondents in the two partisan groups, twenty years apart. "US_Case_Study.R" is the R code used to conduct the analysis and produce the figures included in the manuscript and the supporting information. Case Study #2 is an analysis of attitudes towards wolves in Germany in regions with and without wolves (data previously published in Arbieu et al., 2019, see manuscript). "DE_Wolf_orig.csv" contains the answers to the questionnaire (see supporting information of the manuscript for more details) and "Communities_DE_Wolforig.csv" includes the distribution of respondents in the two regions. "Wolf_Case_Study.R" is the R code used to conduct the analysis and produce the figures included in the manuscript and the supporting information. Both scripts need the functions in the "multidimFD.R", which was produced by Sébastien Villéger, and downloaded from his website.

本文件夹包含复现题为《态度空间框架:拥抱态度多样性的多维性》(Arbieu, U., Albrecht, J., Böhning-Gaese, K., Lehnen, L., Schleuning, M. & Mueller, T.)的手稿中分析所需的全部材料。 案例研究#1为基于ANES公开数据集的美国选民情感极化分析。文件"Traits_ANES_Pol2_88-08_V2.csv"包含问卷调研数据(详见手稿补充材料),"Communities_ANES_Pol2_88-08_V2.csv"则包含间隔20年的两个党派群体的受访者分布情况。"US_Case_Study.R"为用于开展该分析并生成手稿及补充材料中配图的R代码。 案例研究#2为针对德国有狼与无狼区域民众对狼的态度分析,所用数据源自Arbieu等人2019年已发表的研究(详见手稿)。文件"DE_Wolf_orig.csv"包含问卷调研数据(详见手稿补充材料),"Communities_DE_Wolforig.csv"包含两类区域的受访者分布情况。"Wolf_Case_Study.R"为用于开展该分析并生成手稿及补充材料中配图的R代码。 上述两个脚本均需依赖"multidimFD.R"中的函数,该文件由Sébastien Villéger编写并可从其个人官网下载。

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2023-03-10
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