Bayesian Cultural Consensus Theory
Bayesian Cultural Consensus Theory
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贝叶斯文化共识理论
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
W. Batchelder
中科院分区：
文献类型：
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作者：
Zita Oravecz;J. Vandekerckhove;W. Batchelder
在这篇文章中，我们提出了一个贝叶斯推理框架的文化共识理论（CCT）模型的二分（真/假）的反应数据，并提供了一个相关的，用户友好的软件包沿着详细的用户指南进行推理。我们认为，贝叶斯统计推断成为CCT领域默认选择的时机已经成熟。不幸的是，由于缺乏在CCT模型的背景下对贝叶斯框架进行实际描述的出版物，以及缺乏将贝叶斯推理应用于CCT数据的可访问软件，到目前为止，这种情况还没有发生。我们介绍了几个CCT模型的贝叶斯处理，侧重于贝叶斯参数估计和结果解释的各种优点，还介绍了贝叶斯文化共识分析软件包。
In this article, we present a Bayesian inference framework for cultural consensus theory (CCT) models for dichotomous (True/False) response data and provide an associated, user-friendly software package along with a detailed user’s guide to carry out the inference. We believe that the time is ripe for Bayesian statistical inference to become the default choice in the field of CCT. Unfortunately, a lack of publications presenting a practical description of the Bayesian framework in the context of CCT models as well as a dearth of accessible software to apply Bayesian inference to CCT data has so far prevented this from happening. We introduce the Bayesian treatment of several CCT models, focusing on the various merits of Bayesian parameter estimation and interpretation of results, and also introduce the Bayesian Cultural Consensus Toolbox software package.