Fuzzy-set analysis rejects the classic objection that dichotomizing continuous data destroys information.

Evidence

In classic measurement theory, dichotomous variables are seen as occupying the bottom of the hierarchy of scales. If one has continuous data, it is almost always considered a bad move to dichotomize, since this involves throwing away information. Fuzzy-set analysis offers a quite different view of dichotomization. — Gary Goertz, Social Science Concepts and Measurement, 823

Categorization

• XREF: Connects to the measurement-theory discussion of scale hierarchies and information loss; a good hook for reconsidering when collapsing continuous indicators is legitimate.