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|a 10.1080/02664763.2020.1757045
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|a eng
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|a Klein, Ingo
|e verfasserin
|4 aut
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|a Tests on asymmetry for ordered categorical variables
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|c 2021
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|a Text
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|a ƒaComputermedien
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|a Date Revised 16.07.2022
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|a published: Electronic-eCollection
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|a Citation Status PubMed-not-MEDLINE
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|a © 2020 Informa UK Limited, trading as Taylor & Francis Group.
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|a Skewness is a well-established statistical concept for continuous and, to a lesser extent, for discrete quantitative statistical variables. However, for ordered categorical variables, limited literature concerning skewness exists, although this type of variables is common for behavioral, educational, and social sciences. Suitable measures of skewness for ordered categorical variables have to be invariant with respect to the group of strictly increasing, continuous transformations. Therefore, they have to depend on the corresponding maximal-invariants. Based on these maximal-invariants, we propose a new class of skewness functionals, show that members of this class preserve a suitable ordering of skewness and derive the asymptotic distribution of the corresponding skewness statistic. Finally, we show the good power behavior of the corresponding skewness tests and illustrate these tests by applying real data examples
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|a Journal Article
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|a 62
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|a Ordered categorical variables
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| 650 |
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4 |
|a maximal invariants
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| 650 |
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|a skewness analysis
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| 650 |
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4 |
|a skewness ordering
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1 |
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|a Doll, Monika
|e verfasserin
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|i Enthalten in
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