ttm_lda

Fits a Latent Dirichlet Allocation model to the text and returns the 
person-specific topic proportion matrix (delta).

Implements the Topic Testlet Model (TTM) as described by Xiong et al. (2025) <doi:10.1111/jedm.70001>.
The package integrates Latent Dirichlet Allocation (LDA) with the Partial Credit Model to
account for local item dependence in testlets using latent topics from student
textual responses.

Jiawei Xiong

TopicTestlet

A Topic Testlet Model for Calibrating Testlet Constructed
Responses

Cheng Tang

Qidi Liu

ttm_lda function

<dl><dt>text_vector</dt>
<dd>A character vector of aggregated student responses.</dd>
<dt>k</dt>
<dd>The number of latent topics.</dd>
<dt>seed</dt>
<dd>Integer seed for reproducibility.</dd></dl>

Arguments

Fit LDA and Extract Topic Proportions — ttm_lda

<dl>

<dt>text_vector</dt>
<dd>A character vector of aggregated student responses.</dd>


<dt>k</dt>
<dd>The number of latent topics.</dd>


<dt>seed</dt>
<dd>Integer seed for reproducibility.</dd>

</dl>

ttm_lda: Fit LDA and Extract Topic Proportions

Description

Usage

Value

Arguments