This article extends Sympson’s partially noncompensatory dichtomous response model to ordered response data, and introduces a set of fully noncompensatory models for dichotomous and polytomous response data. The theoretical properties of the partially and fully noncompensatory response models are contrasted, and a small set of Monte Carlo simulations are presented to evaluate their parameter recovery performance. Results indicate that the respective models fit the data similarly when correctly matched to their respective population generating model. The fully noncompensatory models, however, demonstrated lower sampling variability and smaller degrees of bias than the partially noncompensatory counterparts. Based on the theoretical properties and empirical performance, it is argued that the fully noncompensatory models should be considered in item response theory applications when investigating conjunctive response processes.

本文将 Sympson 的部分非补偿二分响应模型扩展到有序响应数据，并介绍了一组用于二分和多分响应数据的完全非补偿模型。部分和完全非补偿响应模型的理论特性进行了对比，并提供了一小组蒙特卡罗模拟来评估它们的参数恢复性能。结果表明，当与其各自的种群生成模型正确匹配时，各自的模型类似地拟合数据。然而，完全非补偿模型显示出比部分非补偿模型更低的抽样变异性和更小的偏差程度。基于理论特性和经验性能，