cov_gen

Construct covariance matrices for the generation of simulated test data.

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_gen function

<dl><dt>pr_grp_1</dt>
<dd>proportion of observations in group 1. Can be a scalar or a
vector</dd>
<dt>n_fac</dt>
<dd>number of factors</dd>
<dt>n_ind</dt>
<dd>number of indicators per factor</dd>
<dt>Lambda</dt>
<dd>either a matrix containing the factor loadings or a vector
containing the lower and upper limits for a randomly-generated Lambda
matrix</dd></dl>

Arguments

Generation of covariance matrices — cov_gen

<dl>

<dt>pr_grp_1</dt>
<dd>proportion of observations in group 1. Can be a scalar or a
vector</dd>


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


<dt>n_ind</dt>
<dd>number of indicators per factor</dd>


<dt>Lambda</dt>
<dd>either a matrix containing the factor loadings or a vector
containing the lower and upper limits for a randomly-generated Lambda
matrix</dd>

</dl>

cov_gen: Generation of covariance matrices

Description

Usage

Value

Arguments

Examples