cov_yxz_gen

Generate analytical covariance matrix

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

cov_yxz_gen function

<dl><dt>vcov_yxw</dt>
<dd>covariance matrix between Y, X and W</dd>
<dt>w_names</dt>
<dd>name of the W variables</dd>
<dt>Phi</dt>
<dd>latent regression correlation matrix</dd>
<dt>pr_grp_1</dt>
<dd>scalar or list of proportions of the first group</dd>
<dt>n_ind</dt>
<dd>number of indicator variables</dd>
<dt>n_fac</dt>
<dd>number of factors</dd>
<dt>Lambda</dt>
<dd>matrix containing the factor loadings</dd>
<dt>var_z</dt>
<dd>vector of variances of the background variables</dd></dl>

Arguments

Generate analytical covariance matrix — cov_yxz_gen

<dl>

<dt>vcov_yxw</dt>
<dd>covariance matrix between Y, X and W</dd>


<dt>w_names</dt>
<dd>name of the W variables</dd>


<dt>Phi</dt>
<dd>latent regression correlation matrix</dd>


<dt>pr_grp_1</dt>
<dd>scalar or list of proportions of the first group</dd>


<dt>n_ind</dt>
<dd>number of indicator variables</dd>


<dt>n_fac</dt>
<dd>number of factors</dd>


<dt>Lambda</dt>
<dd>matrix containing the factor loadings</dd>


<dt>var_z</dt>
<dd>vector of variances of the background variables</dd>

</dl>

cov_yxz_gen: Generate analytical covariance matrix

Description

Usage

Arguments