datCat

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

Provides useful tools for structural equation modeling packages.

Terry Jorgensen

semTools

Useful Tools for Structural Equation Modeling

Sunthud Pornprasertmanit

Patrick Miller

Alexander Schoemann

Yves Rosseel

Corbin Quick

Mauricio Garnier-Villarreal

James Selig

Aaron Boulton

Kristopher Preacher

Donna Coffman

Mijke Rhemtulla

Alexander Robitzsch

Craig Enders

Ruber Arslan

Bell Clinton

Pavel Panko

Edgar Merkle

Steven Chesnut

Jarrett Byrnes

Jason Rights

Ylenio Longo

datCat function

A data frame 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 data frame 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