datCat

A simulated data set with 2 factors with 4 indicators each separated into
two groups

datasets

Provides tools for structural equation modeling, many of which extend the 'lavaan' package; for example, to pool results from multiple imputations, probe latent interactions, or test measurement invariance.

Terry Jorgensen

semTools

Useful Tools for Structural Equation Modeling

Sunthud Pornprasertmanit

Yves Rosseel

Patrick Miller

Corbin Quick

Mauricio Garnier-Villarreal

James Selig

Aaron Boulton

Kristopher Preacher

Donna Coffman

Mijke Rhemtulla

Alexander Robitzsch

Craig Enders

Ruben Arslan

Bell Clinton

Pavel Panko

Edgar Merkle

Steven Chesnut

Jarrett Byrnes

Ylenio Longo

Maxwell Mansolf

Mattan S. Ben-Shachar

Mikko R<c3><b6>nkk<c3><b6>

Andrew R. Johnson

datCat function

A <code>data.frame</code> with 200 observations of 9 variables.<dl class="dl-horizontal">
<dt>g</dt><dd>Sex of respondents</dd>
<dt>u1</dt><dd>Indicator 1</dd>
<dt>u2</dt><dd>Indicator 2</dd>
<dt>u3</dt><dd>Indicator 3</dd>
<dt>u4</dt><dd>Indicator 4</dd>
<dt>u5</dt><dd>Indicator 5</dd>
<dt>u6</dt><dd>Indicator 6</dd>
<dt>u7</dt><dd>Indicator 7</dd>
<dt>u8</dt><dd>Indicator 8</dd>
</dl>

Format

Simulated Data set to Demonstrate Categorical Measurement Invariance — datCat

A <code>data.frame</code> with 200 observations of 9 variables.<dl class='dl-horizontal'>
<dt>g</dt><dd>Sex of respondents</dd>
<dt>u1</dt><dd>Indicator 1</dd>
<dt>u2</dt><dd>Indicator 2</dd>
<dt>u3</dt><dd>Indicator 3</dd>
<dt>u4</dt><dd>Indicator 4</dd>
<dt>u5</dt><dd>Indicator 5</dd>
<dt>u6</dt><dd>Indicator 6</dd>
<dt>u7</dt><dd>Indicator 7</dd>
<dt>u8</dt><dd>Indicator 8</dd>
</dl>

Simulated Data set to Demonstrate Categorical Measurement Invariance

datCat: Simulated Data set to Demonstrate Categorical Measurement Invariance

Description

Usage

Arguments

Format

Examples