Abstract A new approach for the analysis of the data and the clustering of the subjects in a Check All That Apply (CATA) experiment is outlined. It encompasses indices to assess the agreements among the subjects. These indices are taken into account for the analysis of the CATA data and the segmentation of the subjects. The analysis of the CATA data bears some similarities to the STATIS method and the cluster analysis of the subjects follows the same pattern as a clustering approach, called CLV, for the cluster analysis of variables, and a clustering approach, called CLUSTATIS, for clustering datasets.

中文翻译：

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一种在 cata 实验中分析数据和对象聚类的新方法

摘要 概述了一种新方法，用于在“检查所有适用”(CATA) 实验中分析数据和对受试者进行聚类。它包括评估主体之间一致性的指标。这些指标被考虑用于 CATA 数据的分析和受试者的分割。CATA 数据的分析与 STATIS 方法有一些相似之处，受试者的聚类分析遵循与聚类方法相同的模式，称为 CLV，用于变量的聚类分析，以及聚类方法，称为 CLUSTATIS，用于聚类数据集.