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Categorical Data - DOAJ

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Last Updated: 10 November 2022

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Multiblock discriminant correspondence analysis: Exploring group differences with structured categorical data

Complex datasets that are difficult to be analyzed using traditional statistical methods are often used in psychological research. The Multiblock Discriminant Correspondence Analysis examines group differences in large, organized categorical databases and locates variables that lead to these differences.

Source link: https://doi.org/10.1016/j.metip.2022.100100

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions