An Unsupervised Learning Approach to Evaluate Questionnaire Data—What One Can Learn from Violations of Measurement Invariance-Reference-Cited by-同舟云学术

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An Unsupervised Learning Approach to Evaluate Questionnaire Data—What One Can Learn from Violations of Measurement Invariance

Published:2024 Issue: Volume:23 Page:
ISSN:1683-1470
Container-title:Data Science Journal
language:en
Short-container-title:

Author:

Hahn-Klimroth Max^ORCID,Dierkes Paul W.^ORCID,Kleespies Matthias W.^ORCID

Publisher

Ubiquity Press, Ltd.

Reference39 articles.

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5. SMOTE: Synthetic Minority over-Sampling Technique;J. Artif. Int. Res,2002

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1. Perceptions of biodiversity loss among future decision-makers in 37 countries;npj Biodiversity;2024-08-30

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