Development of irtawsi: A User-Friendly R Package for IRT Analysis
The complexity of the IRT analysis makes it difficult to perform manually, therefore requiring easy-to-use software. While many software options exist for IRT analysis, the high cost of paid software can make it inaccessible for many students and lecturers in Indonesia. While the mirt package provides a complete, free option for IRT analysis, it requires proficiency in the R programming language to use. This study aims to develop an R package for IRT analysis, equipped with a user-friendly interface based on the mirt package, designed to be easy to use for beginners in IRT analysis. The System Development Life Cycle (SDLC) model is used for development, which includes five stages: Planning, Analysis, Design, Implementation, and System. The resulting package is named irtawsi and includes functionality comparable to paid software. This package can calibrate both test and non-test instruments using various IRT models, such as the Rasch, 2PL, 3PL, 4PL, GRM, PCM, and GPCM model. The irtawsi package functionality includes (1) an easy-to-use user interface, (2) automatic interpretation of analysis results, (3) a guide for IRT analysis, (4) recommendations when assumptions are not met, (5) an HTML report format for analysis results,(6) support for two languages (Indonesian and English), (7) it’s free, and (8) can be installed on Windows, macOS, and Linux operating systems.
Authors
- Hasan Djidu (ORCID: https://orcid.org/0000-0003-1110-6815)
- Hari Susanto (ORCID: https://orcid.org/0000-0002-5376-1597)
- Agus Maman Abadi (ORCID: https://orcid.org/0000-0002-5488-3043)
- Heri Retnawati (ORCID: https://orcid.org/0000-0002-1792-5873)
- Haryanto Haryanto (ORCID: https://orcid.org/0000-0002-8176-4461)
- Raden Muhammad Ali
Institutions
- Yogyakarta State University (ID)
- Universitas Ahmad Dahlan (ID)
- Universitas Sembilanbelas November Kolaka (ID)
- Universitas PGRI Yogyakarta (ID)
Publication Details
- Journal
- JP3I (Jurnal Pengukuran Psikologi dan Pendidikan Indonesia)
- Published
- 2025-05-29
- DOI
- https://doi.org/10.15408/jp3i.v14i1.32091
- Primary Topic
- Statistical Methods and Inference
- Type
- article
- Field-Weighted Citation Impact
- 0.00