The V–Dem Measurement Model: Latent Variable Analysis for Cross-National and Cross-Temporal Expert-Coded Data
The V–Dem Measurement Model: Latent Variable Analysis for Cross-National and Cross-Temporal Expert-Coded Data
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V-Dem 测量模型：跨国跨时空专家编码数据的潜变量分析
DOI：
10.2139/ssrn.3799967
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Farhad Miri
中科院分区：
文献类型：
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作者：
Daniel Pemstein;Kyle L. Marquardt;Eitan Tzelgov;Yi;Farhad Miri
本材料基于国家科学基金会（SES-1423944，PI：丹尼尔·佩姆斯坦）、Riksbankens Jubileumsfond（Grant M13-0559：1，PI：Staffan I.）支持的工作。Lindberg），瑞典研究理事会（2013.0166，PI：Staffan I.林德伯格和扬Teorell），克努特和爱丽丝瓦伦堡基金会（PI：斯塔凡我。Lindberg）和哥德堡大学（E 2013/43）;以及副校长办公室、社会科学学院院长和哥德堡大学政治学系的内部赠款。马夸特感谢俄罗斯学术卓越项目“5-100”的研究支持。我们使用Notre Dame Center for Research Computing（CRC）通过高性能计算部分提供的资源和瑞典国家超级计算机中心的瑞典国家计算基础设施（SNIC）（SNIC 2016/1-382，SNIC 2017/1-406和2017/1-68）进行了模拟和其他计算任务。我们特别感谢CRC的In-Saeng Suh和SNIC的Johan Raber和Peter Munger在促进我们使用各自系统方面提供的帮助。
This material is based upon work supported by the National Science Foundation (SES-1423944, PI: Daniel Pemstein), Riksbankens Jubileumsfond (Grant M13-0559:1, PI: Staffan I. Lindberg), the Swedish Research Council (2013.0166, PI: Staffan I. Lindberg and Jan Teorell), the Knut and Alice Wallenberg Foundation (PI: Staffan I. Lindberg), and the University of Gothenburg (E 2013/43); as well as internal grants from the Vice-Chancellor’s office, the Dean of the College of Social Sciences, and the Department of Political Science at University of Gothenburg. Marquardt acknowledges research support from the Russian Academic Excellence Project ‘5-100.’ We performed simulations and other computational tasks using resources provided by the Notre Dame Center for Research Computing (CRC) through the High Performance Computing section and the Swedish National Infrastructure for Computing (SNIC) at the National Supercomputer Centre in Sweden (SNIC 2016/1-382, SNIC 2017/1-406 and 2017/1-68). We specifically acknowledge the assistance of In-Saeng Suh at CRC and Johan Raber and Peter Mu nger at SNIC in facilitating our use of their respective systems.