Article

Unsupervised Statisticians Ignoring Orders: An Investigation into Methodological Assumptions for Biological Psychiatry with UK Biobank Data

2026-07-23

Abstract excerpt

<p>Ordinal data are widespread in psychiatric research, especially in the form of Likert scales, but can be challenging to adequately model due to their ordered and discrete nature. In this work, we investigate the role of model specification for ordinal data in large-scale psychometric applications, focussing on the methodology of model-based clustering. Methods deliberately designed for ordinal data (ordinal lik...

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Literature Corpus work: 6581e825-1fc9-59f0-93ce-7e58169de97f
DOI: 10.31234/osf.io/24eus_v2

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