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A conjunctive parallelogram model for pick any/N data

机译:用于选择任意/ N个数据的联合平行四边形模型

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This paper proposes a multidimensional generalization of Coombs' (1964) parallelogram model for "pick any" data, which result from each of a number of subjects having selected a number of objects (s)he likes most from a prespecified set of n objects. In the model, persons and objects are represented in a low dimensional space defined by a set of ordinal variables with a prespecified number of categories; objects are represented as points and persons as intervals on each dimension. A conjunctive combination rule is assumed implying that a person selects an object if and only if the object is within the subject's interval on each dimension. An algorithm for fitting the model to a data set is presented and evaluated in a simulation study. The model is illustrated with data on preferences regarding holiday trips.
机译:本文提出了Coombs(1964)平行四边形模型的多维概括,用于“ pick any / n”数据,该模型的产生是由于许多主题的每一个都从预定n个集合中选择了他最喜欢的多个对象。对象。在模型中,人和物体在低维空间中表示,该空间由一组具有预定数量类别的序数变量定义;在每个维度上,对象表示为点,人员表示为间隔。假定有一个合取组合规则,这意味着当且仅当对象在每个维度上位于对象的区间内时,该人才选择该对象。提出了一种将模型拟合到数据集的算法,并在仿真研究中对其进行了评估。该模型用有关假期旅行偏好的数据说明。

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