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Arguing that it is okay to use a metric model instead of an ordered probit model because a difference in conclusions may be rare is like arguing it’s okay to drive drunk because accidents rarely happen
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Overall, it's a deep and thorough article on why to use ordinal regression when you have ordinal data.
https://osf.io/9h3et/download
The text was updated successfully, but these errors were encountered: