unidim: Unidimensionality of blocks

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

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)

Example output

  Block MVs   C.alpha    DG.rho  eig.1st   eig.2nd
1 Image   5 0.8302267 0.8822033 3.017810 0.7776358
2 Expec   5 0.8465841 0.8908554 3.102314 0.6105467

plspm documentation built on May 2, 2019, 7:05 a.m.