Introducing 'inrep': an R package that facilitates fully reproducible research workfows for survey-based assessments

Abstract

Conducting research often involves managing multiple disconnected tools for survey design, data collection, response analysis, and report generation, leading to inefficiencies, increased error risks, and challenges in ensuring reproducibility. To address these issues, we introduce inrep, an open-source R package that integrates the entire assessment workflow within a unified, flexible framework in R. With inrep, researchers can create customized assessments, streamline data management, and generate personalized participant reports without switching software or manually transferring data. inrep includes built-in support for generating structured prompts to guide large language models, enabling tailored adaptation of assessment components to specific study needs. By consolidating all stages of the assessment process, inrep enhances research efficiency, improves reliability, and ensures full reproducibility, making sophisticated testing methodologies accessible to researchers, educators, and practitioners regardless of programming expertise.