unidim: Unidimensionality of blocks

In plspm: Partial Least Squares Path Modeling (PLS-PM)

Unidimensionality of blocks

Description

Compute unidimensionality indices (a.k.a. Composite Reliability indices)

Usage

  unidim(Data, blocks = NULL)

Arguments

Data	matrix or data frame with variables
blocks	optional list with vectors indicating the variables in each block

Value

A data frame with the following columns:

Block	name of block
MVs	number of manifest variables in each block
C.alpha	Cronbach's alpha
DG.rho	Dillon-Goldstein rho
eig.1st	First eigenvalue
eig.2nd	Second eigenvalue

Author(s)

Gaston Sanchez

See Also

alpha, rho

Examples

## Not run: 
 # load dataset satisfaction
 data(satisfaction)

 # blocks Image and Expectations
 ima_expe = list(Image=1:5, Expec=6:10)

 # compute unidimensionality indices
 unidim(satisfaction, ima_expe)
 
## End(Not run)

plspm documentation built on June 22, 2024, 11:29 a.m.