questionnaire_gen_polychoric

Creates a data frame of discrete and continuous variables based on a latent
correlation matrix and marginal proportions.

Provides functions to simulate data from large-scale educational
assessments, including background questionnaire data and cognitive item
responses that adhere to a multiple-matrix sampled design. The theoretical
foundation can be found on
Matta, T.H., Rutkowski, L., Rutkowski, D. et al. (2018)
<doi:10.1186/s40536-018-0068-8>.

Waldir Leoncio

lsasim

Functions to Facilitate the Simulation of Large Scale Assessment
Data

Tyler Matta

Leslie Rutkowski

David Rutkowski

Yuan-Ling Linda Liaw

Kondwani Kajera Mughogho

Sinan Yavuz

Paul Bailey

questionnaire_gen_polychoric function

<dl><dt>n_obs</dt>
<dd>number of observations to generate.</dd>
<dt>cat_prop</dt>
<dd>list of cumulative proportions for each item.</dd>
<dt>cor_matrix</dt>
<dd>latent correlation matrix.</dd>
<dt>c_mean</dt>
<dd>is a vector of population means for each continuous variable.</dd>
<dt>c_sd</dt>
<dd>is a vector of population standard deviations for each continuous
variable.</dd>
<dt>theta</dt>
<dd>if <code>TRUE</code> will label the first continuous variable 'theta'.</dd></dl>

Arguments

Generation of ordinal and continuous variables — questionnaire_gen_polychoric

<dl>

<dt>n_obs</dt>
<dd>number of observations to generate.</dd>


<dt>cat_prop</dt>
<dd>list of cumulative proportions for each item.</dd>


<dt>cor_matrix</dt>
<dd>latent correlation matrix.</dd>


<dt>c_mean</dt>
<dd>is a vector of population means for each continuous variable.</dd>


<dt>c_sd</dt>
<dd>is a vector of population standard deviations for each continuous
variable.</dd>


<dt>theta</dt>
<dd>if <code>TRUE</code> will label the first continuous variable 'theta'.</dd>

</dl>

questionnaire_gen_polychoric: Generation of ordinal and continuous variables

Description

Usage

Arguments