The DRIVE-T Methodology Supplemental Material
Abstract
A methodology submitted to IEEE VIZ 2025 as a short paper. This page contains the workflow of the methodology, as well as the outcome of the Many-Facets Rasch Measurement Model run on the available data (8 raters rated 44 data viz literacy items based on semiotics based tasks such as Name, Content, Use, and Represent). This methodology is supporting the activities for the characterization and measuring of Visualization Literacy.
Fields of Study & Subjects
Data Visualization and Analytics
Reliability and Agreement in Measurement
Authorship Attribution and Profiling
Publication details
- Journal / source
- OSF Preprints (OSF Preprints)
- Publication date
- 20 January 2026
- Document type
- Preprint