simplemodel

The data were simulated with a gsc model with two
exogeneous and one endogeneous compostes. Each composite has three indicators.
All have loadings. There are 50 observations.

datasets

The composites are linear combinations of their indicators in composite based structural equation models. Structural models are considered consisting of two blocks. The indicators of the exogenous composites are named by X, the indicators of the endogenous by Y. Reflective relations are given by arrows pointing  from the composite to their indicators. Their values are called loadings.  In a reflective-reflective scenario all indicators have loadings. Arrows are pointing to their indicators only from the endogenous composites in  the formative-reflective scenario. There are no loadings at all in the formative-formative scenario. The covariance matrices are computed for these three scenarios. They can be used to simulate these models. These models can also be estimated and a segmentation procedure is included as well.

Rainer Schlittgen

cbsem

Simulation, Estimation and Segmentation of Composite Based
Structural Equation Models

simplemodel function

A data frame with 9 variables and 50 cases:<dl class="dl-horizontal">
 <dt>V1,V2,V3</dt><dd>Indicators of first exogeneous composite</dd> 
 <dt>V4,V5,V6</dt><dd>Indicators of second exogeneous composite</dd>
 <dt>V7,V8,V9</dt><dd>Indicators of endogeneous composite</dd> 
</dl>

Format

Simulated data. — simplemodel

A data frame with 9 variables and 50 cases:<dl class='dl-horizontal'>
 <dt>V1,V2,V3</dt><dd>Indicators of first exogeneous composite</dd> 
 <dt>V4,V5,V6</dt><dd>Indicators of second exogeneous composite</dd>
 <dt>V7,V8,V9</dt><dd>Indicators of endogeneous composite</dd> 
</dl>

simplemodel: Simulated data.

Description

Usage

Arguments

Format