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/>.
Package details |
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Author | Han-Wu-Shuang Bao [aut, cre] (<https://orcid.org/0000-0003-3043-710X>) |
Maintainer | Han-Wu-Shuang Bao <baohws@foxmail.com> |
License | GPL-3 |
Version | 2024.7 |
URL | https://psychbruce.github.io/FMAT/ |
Package repository | View on CRAN |
Installation |
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