plspm (version 0.5.1)

unidim: Unidimensionality of blocks

Description

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

Usage

unidim(Data, blocks = NULL)

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

Arguments

Data

matrix or data frame with variables

blocks

optional list with vectors indicating the variables in each block

Author

Gaston Sanchez

See Also

alpha, rho

Examples

if (FALSE) {
 # 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)
 }