gscalsout

A list containing the result of gscals for the simplemodel data.

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

gscalsout function

A list with entries:<dl class="dl-horizontal">
 <dt>$Bhat</dt><dd>estimated esign matrix of the simple model</dd>
 <dt>$What</dt><dd>matrix of weights</dd> 
 <dt>$lambdahat</dt><dd>mvector of estimated loadings</dd>
 <dt>$iter</dt><dd>number of iterations</dd> 
 <dt>$fehl</dt><dd>maximal difference of parameter estimates for the last and second last iteration</dd> 
 <dt>$composit</dt><dd>data matrix of composites</dd> 
 <dt>$resid</dt><dd>data matrix of residuals of the structural model</dd> 
 <dt>$S</dt><dd>Covariance matrix of manifest variables</dd>
 <dt>$ziel</dt><dd>sum of squared residuals for the final sum</dd>
 <dt>$fi</dt><dd>The value of the fit criterion</dd>
 <dt>$R2</dt><dd>vector with the coefficients of determination for structural regressions</dd>
</dl>

Format

Output of gscals for the simplemodel data. — gscalsout

A list with entries:<dl class='dl-horizontal'>
 <dt>$Bhat</dt><dd>estimated esign matrix of the simple model</dd>
 <dt>$What</dt><dd>matrix of weights</dd> 
 <dt>$lambdahat</dt><dd>mvector of estimated loadings</dd>
 <dt>$iter</dt><dd>number of iterations</dd> 
 <dt>$fehl</dt><dd>maximal difference of parameter estimates for the last and second last iteration</dd> 
 <dt>$composit</dt><dd>data matrix of composites</dd> 
 <dt>$resid</dt><dd>data matrix of residuals of the structural model</dd> 
 <dt>$S</dt><dd>Covariance matrix of manifest variables</dd>
 <dt>$ziel</dt><dd>sum of squared residuals for the final sum</dd>
 <dt>$fi</dt><dd>The value of the fit criterion</dd>
 <dt>$R2</dt><dd>vector with the coefficients of determination for structural regressions</dd>
</dl>

gscalsout: Output of gscals for the simplemodel data.

Description

Usage

Arguments

Format