In this contribution, we describe a method to estimate polychoric correlations when data are available in the form of fuzzy frequency tables. A simulation study is used to assess the characteristics of the proposed approach. Fuzzy polychoric correlations can be of particular utility, for instance, in studies involving covariance structural analysis (e.g., CFA) and dimensionality reduction techniques (e.g., EFA).
Estimating latent linear correlations from fuzzy contingency tables
antonio calcagni'
2021
Abstract
In this contribution, we describe a method to estimate polychoric correlations when data are available in the form of fuzzy frequency tables. A simulation study is used to assess the characteristics of the proposed approach. Fuzzy polychoric correlations can be of particular utility, for instance, in studies involving covariance structural analysis (e.g., CFA) and dimensionality reduction techniques (e.g., EFA).
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