label_respondents

Generate level label combinations for each respondent

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

label_respondents function

<dl><dt>n_obs</dt>
<dd>list with the number of elements per level</dd>
<dt>cluster_labels</dt>
<dd>character vector with the names of each cluster level</dd>
<dt>add_last_level</dt>
<dd>if <code>TRUE</code> (not default), adds the last level to the output table</dd>
<dt>apply_labels</dt>
<dd>if <code>TRUE</code>, applies labels (column names) to data cells</dd></dl>

Arguments

Label respondents — label_respondents

<dl>

<dt>n_obs</dt>
<dd>list with the number of elements per level</dd>


<dt>cluster_labels</dt>
<dd>character vector with the names of each cluster level</dd>


<dt>add_last_level</dt>
<dd>if <code>TRUE</code> (not default), adds the last level to the output table</dd>


<dt>apply_labels</dt>
<dd>if <code>TRUE</code>, applies labels (column names) to data cells</dd>

</dl>

label_respondents: Label respondents

Description

Usage

Value

Arguments