Rasch Wiki Beta
A curated, growing directory of dedicated Rasch software and broader tools that support Rasch workflows. Every profile identifies its author or developer and includes an APA citation.
Not an exhaustive market count
Tools whose primary purpose is Rasch measurement, including dedicated desktop applications and focused R packages.
A desktop workflow for rectangular person-by-item data, rating scales, partial-credit analyses, and practical measurement diagnostics.
Author / developer: John M. Linacre
Windows · Commercial
Linacre, J. M. (2026). Winsteps (Version 5.11.2) [Computer software]. Winsteps.com. https://www.winsteps.com/winsteps.htm
Many-facet Rasch measurement for rater-, task-, and judge-mediated designs with complex ordinal observations.
Author / developer: John M. Linacre
Windows · Commercial
Linacre, J. M. (2026). FACETS (Version 4.5.1) [Computer software]. Winsteps.com. https://www.winsteps.com/facets.htm
Extended Rasch modeling in R, including the Rasch model, LLTM, rating-scale, and partial-credit model workflows.
Author / developer: Patrick Mair and Reinhold Hatzinger
R · Windows · macOS · Linux · Open source
Mair, P., & Hatzinger, R. (2007). Extended Rasch modeling: The eRm package for the application of IRT models in R. Journal of Statistical Software, 20(9), 1–20. https://doi.org/10.18637/jss.v020.i09
A focused R implementation for estimating Rasch model parameters with a pairwise algorithm.
Author / developer: Joerg-Henrik Heine
R · Windows · macOS · Linux · Open source
Heine, J.-H. (2025). pairwise: Rasch model parameters by pairwise algorithm (Version 0.6.2-0) [R package]. https://CRAN.R-project.org/package=pairwise
The free student, evaluation, and demonstration edition of Winsteps for smaller rectangular Rasch datasets.
Author / developer: John M. Linacre
Windows · Open source
Linacre, J. M. (2026). MINISTEP (Winsteps 5.11.2 student/evaluation edition) [Computer software]. Winsteps.com. https://www.winsteps.com/ministep.htm
The free student, evaluation, and demonstration edition of FACETS for smaller many-facet Rasch datasets.
Author / developer: John M. Linacre
Windows · Open source
Linacre, J. M. (2026). MINIFAC (FACETS 4.5.1 student/evaluation edition) [Computer software]. Winsteps.com. https://www.winsteps.com/minifac.htm
An interactive implementation of the Rasch Unidimensional Measurement Model for research and education workflows.
Author / developer: David Andrich and Barry Sheridan
Windows · Commercial
Andrich, D., & Sheridan, B. (2026). RUMM2030 Plus [Computer software]. RUMM Laboratory Pty Ltd. https://www.rummlab.com.au/
Generalised item-response modelling software for unidimensional, multidimensional, multifaceted, and latent-regression measurement workflows.
Author / developer: Raymond J. Adams, Margaret L. Wu, D. Cloney, A. Berezner, and Mark R. Wilson
Windows · R integration · Commercial
Adams, R. J., Wu, M. L., Cloney, D., Berezner, A., & Wilson, M. R. (2020). ACER ConQuest: Generalised item response modelling software (Version 5.29) [Computer software]. Australian Council for Educational Research. https://www.acer.org/au/conquest
A specialised package for sampling binary matrices with fixed margins for exact Rasch model tests.
Author / developer: Norman Verhelst, Reinhold Hatzinger, and Patrick Mair
R · Windows · macOS · Linux · Open source
Verhelst, N., Hatzinger, R., & Mair, P. (2007). The Rasch sampler. Journal of Statistical Software, 20(4), 1–14. https://doi.org/10.18637/jss.v020.i04
General IRT, psychometric, or visualization tools that include a documented Rasch workflow but are not Rasch-specific at their core.
A broader IRT package with Rasch, many-facet Rasch, and polytomous workflows alongside other item-response models.
Author / developer: Alexander Robitzsch, Thomas Kiefer, and Margaret Wu
R · Windows · macOS · Linux · Open source
Robitzsch, A., Kiefer, T., & Wu, M. (2025). TAM: Test analysis modules (Version 4.3-25) [R package]. https://doi.org/10.32614/CRAN.package.TAM
A test-data management and analysis environment with Rasch-oriented psychometric workflows for educational and psychological assessment.
Author / developer: Gunter Maris, Timo Bechger, Jesse Koops, and Ivailo Partchev
R · Windows · macOS · Linux · Open source
Maris, G., Bechger, T., Koops, J., & Partchev, I. (2026). dexter: Data management and analysis of tests (Version 1.8.1) [R package]. https://dexter-psychometrics.github.io/dexter/
A psychometric mixture-model package with a documented workflow for flexible Rasch mixture models and DIF exploration.
Author / developer: Hannah Frick, Carolin Strobl, Friedrich Leisch, and Achim Zeileis
R · Windows · macOS · Linux · Open source
Frick, H., Strobl, C., Leisch, F., & Zeileis, A. (2012). Flexible Rasch mixture models with package psychomix. Journal of Statistical Software, 48(7), 1–25. https://doi.org/10.18637/jss.v048.i07
An item-person map visualization package that can work with estimates from Rasch and wider IRT workflows, including ConQuest integration.
Author / developer: David Torres Irribarra and Rebecca Freund
R · Windows · macOS · Linux · Open source
Torres Irribarra, D., & Freund, R. (2024). WrightMap: IRT item-person map with ConQuest integration (Version 1.4) [R package]. https://doi.org/10.32614/CRAN.package.WrightMap
A general multidimensional IRT environment that can be specified for Rasch/1PL work alongside broader item-response models.
Author / developer: R. Philip Chalmers
R · Windows · macOS · Linux · Open source
Chalmers, R. P. (2012). mirt: A multidimensional item response theory package for the R environment. Journal of Statistical Software, 48(6), 1–29. https://doi.org/10.18637/jss.v048.i06
A latent-trait modelling package for dichotomous and polytomous IRT analyses, including a Rasch model workflow.
Author / developer: Dimitris Rizopoulos
R · Windows · macOS · Linux · Open source
Rizopoulos, D. (2006). ltm: An R package for latent variable modelling and item response theory analyses. Journal of Statistical Software, 17(5), 1–25. https://doi.org/10.18637/jss.v017.i05
A supplementary IRT package covering, among other methods, Rasch-related copula and faceted or hierarchical rater-model workflows.
Author / developer: Alexander Robitzsch
R · Windows · macOS · Linux · Open source
Robitzsch, A. (2025). sirt: Supplementary item response theory models (Version 4.2-133) [R package]. https://doi.org/10.32614/CRAN.package.sirt