# Tag Info

## New answers tagged ordinal-data

### Dimension reduction to 1 ranked dimension

If your first component does not have this ranking, then it is a sign that your questionnaire isn't good and needs work. There are other issues on using PCA on ordinal variables. These have been ...
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### Percentage changes versus absolute changes when comparing rankings

This question reminds me of this xkcd strip. All humor aside, comparing percentages which do not share the same basis (i.e. denominator) can be very misleading (as xkcd points out). In addition, ...
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### How to perform correlation & regression analysis using both 5-point likert scale and "Yes/No/Maybe" questionnaire?

One question I have is whether you consider your “Yes/Maybe/No” variable an “ordinal” such that Yes > Maybe > No. I assume that this is the case but my answer is in part contingent on this being ...
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### How to perform correlation & regression analysis using both 5-point likert scale and "Yes/No/Maybe" questionnaire?

Ordinal logistic regression is the standard approach for this kind of data. We have many related threads on this topic. This one may be a good place to start: Ordinal regression: logit, probit, ...
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### Can I retain the ordinal nature of a predictor while answering a question about it that is inherently binary?

To expand and complement Frank Harrell's answer: Providing an answer to the binary question based on the full model First, I think there is value in giving your collaborator a bit of pushback on ...
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### Can I retain the ordinal nature of a predictor while answering a question about it that is inherently binary?

I will go out on a limb here (but I feel that limb is pretty strong), and say that your predictor $X$ is a Likert score. It looks llike a Likert (ordinal), it walks like a Likert (5 levels), it quacks ...
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Accepted

### Can I retain the ordinal nature of a predictor while answering a question about it that is inherently binary?

Binning X will make problems 1 and 2 worse. Comparison of X=1-3 vs. X=4-5 is inherently ill-defined and uninterpretable unless the relationship between X and Y is flat when X=1-3 and when X=4-5. ...
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