Cultural Consensus Theory for the Ordinal Data Case
Cultural Consensus Theory for the Ordinal Data Case
复制标题
序数数据案例的文化共识理论
DOI：
10.1007/s11336-013-9382-9
复制
发表时间：
2015
期刊：
影响因子：
3
通讯作者：
W. Batchelder
中科院分区：
文献类型：
--
作者：
R. Anders;W. Batchelder
有序数据的文化共识理论方法的发展，导致一个新的模型有序多分类数据。该模型引入了一种新的方法来测量响应偏差，并测量共识项目值，共识响应量表，项目难度和线人的知识。该模型被扩展为一个有限的混合模型，以适应模拟和真实的多元文化的数据，其中子组的线人有不同的共识项目值。因此，该扩展是有序数据的基于模型的聚类的一种形式。层次贝叶斯框架用于推理，和两个后验预测检查，以验证模型的中心假设。
A Cultural Consensus Theory approach for ordinal data is developed, leading to a new model for ordered polytomous data. The model introduces a novel way of measuring response biases and also measures consensus item values, a consensus response scale, item difficulty, and informant knowledge. The model is extended as a finite mixture model to fit both simulated and real multicultural data, in which subgroups of informants have different sets of consensus item values. The extension is thus a form of model-based clustering for ordinal data. The hierarchical Bayesian framework is utilized for inference, and two posterior predictive checks are developed to verify the central assumptions of the model.