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A new scaling proposal for handling ordinal categoric Co-Inertia (-PLS) Analysis

机译:用于处理序数分类综合惯用(-PLS)分析的新缩放提案

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In order to investigate the symmetrical relationships between several sets of variables, or regress one or more quantitative response variables on a set of variables of different nature, it is well known that it is necessary to transform non-quantitative variables in such a way that they can be analyzed together with the others measured on an interval scale. This paper suggests a proposal to cope with the problem of the treatment of ordinal qualitative variables in Co-Inertia(-PLS) Analysis. In the literature there are different proposals based on the application of known statistical techniques to quantify ordinal variables. The approach consists in quantifying each non-quantitative variable according to the empirical distributions of the variables involved in the analysis assuming the presence of a continuous underlying variable for each ordinal indicator.
机译:为了研究几组变量之间的对称性关系,或者在不同性质的一组变量上重新拍摄一个或多个定量响应变量,众所周知,有必要以这样的方式转换非定量变量可以与以间隔量表测量的其他方式分析。本文提出了应对副惯用(-PLS)分析中的序数定性变量的问题的提议。在文献中,基于已知统计技术的应用来量化序数变量存在不同的提案。该方法包括根据分析中涉及的变量的经验分布来定量每个非定量变量,假设每个序数指示器的存在连续底层变量。

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