Rating scale analysis with latent class models
Rating scale analysis with latent class models
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使用潜在类别模型进行评分量表分析
作者：
J. Rost
描述了一种用潜在类别模型分析评级数据的一般方法，该方法与潜在特质理论框架下的评级模型并行。给出了一个通用的评级模型，以及一个类似于Andrich的DisLocate模型的含有位置和离散度参数的双参数模型，其中包括通过EM算法进行参数估计。两个例子说明了模型及其统计控制的应用。讨论了通过等式约束进行的模型约束，并概述了多参数的推广。
A general approach for analyzing rating data with latent class models is described, which parallels rating models in the framework of latent trait theory. A general rating model as well as a two-parameter model with location and dispersion parameters, analogous to Andrich's Dislocmodel are derived, including parameter estimation via the EM-algorithm. Two examples illustrate the application of the models and their statisticalcontrol. Model restrictions through equality constrains are discussed and multiparameter generalizations are outlined.