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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Bibliographic Details
Main Authors: Har-Shemesh, Omri, Quax, Rick, Lansing, J. Stephen, Sloot, Peter M. A.
Other Authors: Asian School of the Environment
Format: Article
Language:English
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/10356/146105
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Institution: Nanyang Technological University
Language: English