6–9 Jul 2026
Europe/Warsaw timezone

**md2qstn** : An R Package for Reproducible Survey Design and Lifecycle Management

7 Jul 2026, 17:00
2h
Poster Poster

Speaker

Yasuto NAKANO (Kwansei Gakuin University)

Description

The purpose of this talk is to present md2qstn, a specialized R library developed to bridge the gap between plain-text survey drafting and digital deployment. md2qstn enables the conversion of Markdown-formatted questionnaires into DDI(Data Documentation Initiative)-compliant XML and Qualtrics-compatible QSF(Qualtrics Survey Format) JSON files. Although the prevailing approach in social research involves the use of browser-based GUIs, such methods lack the scalability and efficiency required for complex or iterative survey development. By adopting Markdown as a foundational format, md2qstn mitigates the inefficiencies associated with manual web UI entries. The suite of functions within md2qstn offers social scientists a platform for reproducible survey design, effectively integrating the survey data lifecycle into a seamless R-based workflow.

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Keywords: Please list up to 5 keywords to help us find the right session for your contribution. questionnaires, reproducible research, social survey, DDI, QSF
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Author

Yasuto NAKANO (Kwansei Gakuin University)

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