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A Law of Comparative Preference: Distinctions Between Models of Personal Preference and Impersonal Judgment in Pair Comparison Designs

机译:比较偏好法则:配对比较设计中个人偏好模型与非个人判断模型的区别

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摘要

The pair comparison design for distinguishing between stimuli located on the same natural or hypothesized linear continuum is used both when the response is a personal preference and when it is an impersonal judgment. Appropriate models which complement the different responses have been proposed. However, the models most appropriate for impersonal judgments have also been described as modeling choice, which may imply personal preference. This leads to potential confusion in interpretation of scale estimates of the stimuli, in particular whether they reflect a substantive order on the variable or reflect a characteristic of the sample which is different from the substantive order on the variable. Using Thurstone’s concept of a discriminal response when a person engages with each stimulus, this article explains the overlapping and distinctive relationships between models for pair comparison designs when used for preference and judgment. In doing so, it exploits the properties of the relatively new hyperbolic cosine model which is not only appropriate for modeling personal preferences but has an explicit mathematical relationship with models for impersonal judgments. The hyperbolic cosine model is shown to be a special case of a more general form, referred to in parallel with Thurstone’s Law of Comparative Judgment, as a specific . Analyses of two real data sets illustrate the differences between the models most appropriate for personal preferences and impersonal judgments in a pair comparison design.
机译:当响应是个人喜好和非个人判断时,都使用对比较设计来区分位于相同自然或假设线性连续体上的刺激。已经提出了适合不同响应的适当模型。但是,最适合个人判断的模型也被描述为建模选择,这可能暗示着个人偏爱。这导致在解释规模的标度估计时可能产生混淆,特别是它们是反映变量的实质顺序还是反映样本的特征,而该特征不同于变量的实质顺序。本文使用瑟斯通(Thurstone)在人与每个刺激物互动时做出判别式反应的概念,解释了当用于偏好和判断时,配对比较设计模型之间的重叠和独特关系。通过这样做,它利用了相对较新的双曲余弦模型的特性,该特性不仅适合于建模个人喜好,而且与用于非人为判断的模型具有明确的数学关系。已显示双曲余弦模型是一种更一般形式的特例,与特斯通的《比较审判定律》同时提到。对两个真实数据集的分析表明,在一对比较设计中,最适合个人喜好和非个人判断的模型之间的差异。

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