FMAT: The Fill-Mask Association Test
The Fill-Mask Association Test ('FMAT') <doi:10.1037/pspa0000396> is an integrative and probability-based method using Masked Language Models to measure conceptual associations (e.g., attitudes, biases, stereotypes, social norms, cultural values) as propositions in natural language. Supported language models include 'BERT' <doi:10.48550/arXiv.1810.04805> and its variants available at 'Hugging Face' <https://huggingface.co/models?pipeline_tag=fill-mask>. Methodological references and installation guidance are provided at <https://psychbruce.github.io/FMAT/>.
| Version: | 2025.12 |
| Depends: | R (≥ 4.0.0) |
| Imports: | reticulate,data.table,stringr,forcats,rvest,psych,irr,glue,crayon,cli,purrr,plyr,dplyr,tidyr |
| Suggests: | bruceR,PsychWordVec,text,sweater,nlme |
| Published: | 2025-12-15 |
| DOI: | 10.32614/CRAN.package.FMAT |
| Author: | Han Wu Shuang Bao [aut, cre] |
| Maintainer: | Han Wu Shuang Bao <baohws at foxmail.com> |
| BugReports: | https://github.com/psychbruce/FMAT/issues |
| License: | GPL-3 |
| URL: | https://psychbruce.github.io/FMAT/ |
| NeedsCompilation: | no |
| SystemRequirements: | Python (>= 3.9.0) |
| Materials: | README,NEWS |
| CRAN checks: | FMAT results |
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