LPR_reliability

Reliability analysis (Cronbach's \(\alpha\)) of LPR.

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/>.

Han-Wu-Shuang Bao

FMAT

The Fill-Mask Association Test

LPR_reliability function

<dl><dt>fmat</dt>
<dd>A data.table returned from <code>summary.fmat()</code>.</dd>
<dt>item</dt>
<dd>Reliability of multiple <code>"query"</code> (default), <code>"T_word"</code>, or <code>"A_word"</code>.</dd>
<dt>by</dt>
<dd>Variable(s) to split data by. Options can be <code>"model"</code>, <code>"TARGET"</code>, <code>"ATTRIB"</code>, or any combination of them.</dd></dl>

Arguments

Reliability analysis (Cronbach's \(\alpha\)) of LPR. — LPR_reliability

<dl>

<dt>fmat</dt>
<dd>A data.table returned from <code>summary.fmat()</code>.</dd>


<dt>item</dt>
<dd>Reliability of multiple <code>"query"</code> (default), <code>"T_word"</code>, or <code>"A_word"</code>.</dd>


<dt>by</dt>
<dd>Variable(s) to split data by. Options can be <code>"model"</code>, <code>"TARGET"</code>, <code>"ATTRIB"</code>, or any combination of them.</dd>

</dl>

LPR_reliability: Reliability analysis (Cronbach's \(\alpha\)) of LPR.

Description

Usage

Value

Arguments