Questionnaire data analysis using information geometry

• 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: Engineering::Computer science and engineering; Statistical Physics; Statistics
• Online Access: https://hdl.handle.net/10356/146105
• Institution: Nanyang Technological University

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...