Speaker
Description
Researchers conducting surveys and assessments often encounter commercial barriers. While convenient, platforms also come with substantial licensing costs, vendor lock-in, and data sovereignty concerns. Meanwhile, open-source alternatives typically require researchers to use separate tools for survey design, data collection, analysis and reporting. This creates inefficiencies, increases the risk of errors and undermines reproducibility. We introduce inrep, an open-source R package that consolidates the entire assessment workflow within the flexible R framework. With inrep, researchers can design customized assessments, manage data collection, conduct analyses, and generate personalized participant feedback reports. An accompanying Shiny app lowers the barrier to entry for initial setup, while the package's R-native design enables full integration with modern analytical workflows like adaptive testing. By eliminating licensing costs, vendor dependencies, and workflow fragmentation, inrep makes sophisticated assessment methodologies accessible to researchers, educators, and practitioners regardless of budget constraints or programming expertise, while ensuring complete transparency and reproducibility throughout the research lifecycle.
Additional Material or Paper
https://github.com/selvastics/inrep
https://selvastics.shinyapps.io/inrep-studio/
-uploaded on researchgate as a preprint: https://www.researchgate.net/publication/393860980_Introducing_%27inrep%27_an_R_package_that_facilitates_fully_reproducible_research_workfows_for_survey-based_assessments
If you used AI tools or services to support the preparation of this submission, please state the name and reason for using each of them.
Use of LLM to fine-tune components of certain R functions, as well as iteration and review of own ideas to further enhance them. Continuous iterations under human oversight, as well as encouragement to users to use mindful LLM practice where useful, e.g. to change design components.
| Keywords: Please list up to 5 keywords to help us find the right session for your contribution. | instant reporting, R infrastructure, reproducible research |
|---|---|
| Virtual Option | This submission is for onsite presentation only |
| Material License | CC-BY 4.0 |
| Video Recording | Video sharing is fine |
| The author(s) agree(s) to take responsibility and be accountable for the contents of the submission and is/are authorized to present it. | Confirm |