Latent Human Rights Scores Version 1

The Latent Human Rights Scores available from this page were generated using a dynamic ordinal item-response theory model discussed at length in the paper listed below. The datasets contain country-year estimates of the mean and standard deviation of the estimated level of respect for physical integrity rights and empowerment rights for each year in which the constituent CIRI human rights indicators were available. See the CIRI Human Rights Data Project for more information on these indicators. The latent estimates allow for measurement uncertainty to be included in models that use human rights as a predictor variable. Also available are datasets that contain the last 1000 draws from the posterior distribution from both the dynamic ordinal item-response theory model and the ordinal item-response theory model. Detailed information about these models and other scaling techniques are discussed in the paper. We will also post full replication files once the paper has been accepted for publication. The JAGS code used to estimate the models are available in the Appendix section of the article. Please contact us if you have any questions: [e-mail], [e-mail].本页面提供的潜在人权得分（Latent Human Rights Scores）基于下文详述的动态序数项目反应理论模型（dynamic ordinal item-response theory model）生成。该数据集包含国家-年度层面的估计值，涵盖各具备CIRI人权分项指标观测数据的年份中，各国对人身完整权与赋权权的尊重程度的均值与标准差估计。欲了解上述指标的更多信息，请参阅CIRI人权数据项目（CIRI Human Rights Data Project）。这类潜在估计值允许将测量不确定性纳入以人权作为预测变量的模型之中。同时提供的数据集还包含两类模型后验分布的最后1000次抽样结果：分别为动态序数项目反应理论模型与序数项目反应理论模型（ordinal item-response theory model）。关于这些模型及其他缩放技术的详细说明，请参阅相关论文。本文一经录用发表，我们将上传完整的复现文件。用于模型估计的JAGS代码（JAGS code）可在本文附录部分获取。如有任何疑问，请联系我们：[e-mail]、[e-mail]。

搜集汇总

背景与挑战

背景概述

该数据集使用动态序数项目反应理论模型，基于CIRI人权指标生成了1981年至2010年各国每年在物理完整性权利和赋权权利方面的潜在分数估计，包括均值和标准差。这些估计允许在模型中加入测量不确定性，适用于将人权作为预测变量的社会科学研究，并提供了完整的后验分布数据以支持分析。