FacialBurns

A dataset from the Dutch burn center (http://www.adbc.nl). 
The data were used to examine psychosocial functioning in patients with 
facial burn wounds. Psychosocial functioning was measured by 
Anxiety and depression symptoms (HADS), and self-esteem 
(Rosenberg's self-esteem scale).

Fit a variety of latent variable models, including confirmatory
factor analysis, structural equation modeling and latent growth curve models.

Yves Rosseel

lavaan

Latent Variable Analysis

Luc De Wilde

Daniel Oberski

Jarrett Byrnes

Leonard Vanbrabant

Victoria Savalei

Ed Merkle

Michael Hallquist

Mijke Rhemtulla

Myrsini Katsikatsou

Mariska Barendse

Nicholas Rockwood

Florian Scharf

Han Du

Haziq Jamil

Franz Classe

FacialBurns function

A data frame of 77 observations of 6 variables.<dl>
 <dt><code>Selfesteem</code></dt>
<dd>Rosenberg's self-esteem scale</dd> <dt><code>HADS</code></dt>
<dd>Anxiety and depression scale</dd> <dt><code>Age</code></dt>
<dd>Age measured in years, control variable</dd> <dt><code>TBSA</code></dt>
<dd>Total Burned Surface Area</dd> <dt><code>RUM</code></dt>
<dd>Rumination, control variable</dd> <dt><code>Sex</code></dt>
<dd>Gender, grouping variable</dd> 
</dl>

Format

Dataset for illustrating the InformativeTesting function. — FacialBurns

A data frame of 77 observations of 6 variables.<dl>
 <dt><code>Selfesteem</code></dt>
<dd>Rosenberg's self-esteem scale</dd>

 <dt><code>HADS</code></dt>
<dd>Anxiety and depression scale</dd>

 <dt><code>Age</code></dt>
<dd>Age measured in years, control variable</dd>

 <dt><code>TBSA</code></dt>
<dd>Total Burned Surface Area</dd>

 <dt><code>RUM</code></dt>
<dd>Rumination, control variable</dd>

 <dt><code>Sex</code></dt>
<dd>Gender, grouping variable</dd>

 
</dl>

Dataset for illustrating the InformativeTesting function.

FacialBurns: Dataset for illustrating the InformativeTesting function.

Description

Usage

Arguments

Format

Examples