On the use of heterogeneous thresholds ordinal regression models to account for individual differences in response style
On the use of heterogeneous thresholds ordinal regression models to account for individual differences in response style
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DOI：
10.1007/bf02295612
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发表时间：
2003-12-01
期刊：
影响因子：
3
通讯作者：
Johnson, TR
中科院分区：
文献类型：
--
作者：
Johnson, TR
本文提出了一种通用的方法来解释个体差异的极端反应风格的统计模型有序的反应类别。该方法使用具有异质阈值结构的分层有序回归建模框架来考虑响应风格的个体差异。详细讨论了具有异质阈值结构的模型的贝叶斯推断的马尔可夫链蒙特卡罗算法。一个模拟和两个例子的基础上，顺序概率模型来说明所提出的方法。模拟和例子还表明，未能考虑到大量的极端反应风格的个体差异，统计推断可能会产生不利的后果。
This paper proposes a general approach to accounting for individual differences in the extreme response style in statistical models for ordered response categories. This approach uses a hierarchical ordinal regression modeling framework with heterogeneous thresholds structures to account for individual differences in the response style. Markov chain Monte Carlo algorithms for Bayesian inference for models with heterogeneous thresholds structures are discussed in detail. A simulation and two examples based on ordinal probit models are given to illustrate the proposed methodology. The simulation and examples also demonstrate that failing to account lot individual differences in the extreme response style can have adverse consequences for statistical inferences.