cSEM: calculateWeightsPCA – R documentation

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calculateWeightsPCA

Calculate composite weights using principal component analysis (PCA)

Description

Calculate weights for each block by extracting the first principal component of the indicator correlation matrix S_jj for each blocks, i.e., weights are the simply the first eigenvector of S_jj.

Usage

calculateWeightsPCA(
 .S                 = args_default()$.S,
 .csem_model        = args_default()$.csem_model
  )

Arguments

`.S`	The (K x K) empirical indicator correlation matrix.
`.csem_model`	A (possibly incomplete) cSEMModel-list.

Value

A named list. J stands for the number of constructs and K for the number of indicators.

$W: A (J x K) matrix of estimated weights.
$E: NULL
$Modes: The mode used. Always "PCA".
$Conv_status: NULL as there are no iterations
$Iterations: 0 as there are no iterations

cSEM

Composite-Based Structural Equation Modeling

v0.4.0

GPL-3

Authors

Manuel E. Rademaker [aut, cre] (<https://orcid.org/0000-0002-8902-3561>), Florian Schuberth [aut] (<https://orcid.org/0000-0002-2110-9086>), Tamara Schamberger [ctb] (<https://orcid.org/0000-0002-7845-784X>), Michael Klesel [ctb] (<https://orcid.org/0000-0002-2884-1819>), Theo K. Dijkstra [ctb], Jörg Henseler [ctb] (<https://orcid.org/0000-0002-9736-3048>)

Initial release

2021-04-09