Questionnaire data analysis using information geometry

The analysis of questionnaires often involves representing the high-dimensional responses in a low-dimensional space (e.g., PCA, MCA, or t-SNE). However questionnaire data often contains categorical variables and common statistical model assumptions rarely hold. Here we present a non-parametric appr...

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Detalles Bibliográficos
Autores principales: Har-Shemesh, Omri, Quax, Rick, Lansing, J. Stephen, Sloot, Peter M. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7248094/
https://www.ncbi.nlm.nih.gov/pubmed/32451420
http://dx.doi.org/10.1038/s41598-020-63760-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7248094/
https://www.ncbi.nlm.nih.gov/pubmed/32451420
http://dx.doi.org/10.1038/s41598-020-63760-8

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