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Open-Source Pipeline of Cursor-Tracking for Likert-Scale Data Collected in Qualtrics Cover

Open-Source Pipeline of Cursor-Tracking for Likert-Scale Data Collected in Qualtrics

Open Access
|Jun 2026

Abstract

The software was developed to provide Likert-scale cursor tracking that includes item-level correction of self-report responses collected in Qualtrics. The software was first introduced in a feasibility study by Siemers et al. [1], and the present paper provides its full technical details and implementation. The pipeline includes a ready-to-use Qualtrics template with embedded JavaScript, Python scripts for cleaning and processing raw cursor coordinates, and R scripts for visualization and statistical analysis. Together, these components form a complete workflow from survey administration to the analysis of cursor trajectories and cursor-corrected response scores. All materials, code, and documentation are openly available on GitHub and OSF, making Likert-scale cursor tracking reusable and accessible to a wide range of researchers.

DOI: https://doi.org/10.5334/jors.690 | Journal eISSN: 2049-9647
Language: English
Page range: 46 - 46
Submitted on: Feb 1, 2026
Accepted on: May 1, 2026
Published on: Jun 8, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2026 Nellie Siemers, Zachary Jamieson, Xinran Gao, Mira Saad, Bärbel Knäuper, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.