lambda_gen

Randomly generate a matrix of factor loadings

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

lambda_gen function

<dl><dt>n_ind</dt>
<dd>number of indicators per factor</dd>
<dt>n_fac</dt>
<dd>number of factors</dd>
<dt>limits</dt>
<dd>vector with lower and upper limits for the uniformly-generated
Lambdas</dd>
<dt>row_names</dt>
<dd>vector with row names</dd>
<dt>col_names</dt>
<dd>vector with col names</dd></dl>

Arguments

Randomly generate a matrix of factor loadings — lambda_gen

<dl>

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


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


<dt>limits</dt>
<dd>vector with lower and upper limits for the uniformly-generated
Lambdas</dd>


<dt>row_names</dt>
<dd>vector with row names</dd>


<dt>col_names</dt>
<dd>vector with col names</dd>

</dl>

lambda_gen: Randomly generate a matrix of factor loadings

Description

Usage

Arguments