unidim {plspm} | R Documentation |
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
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)
[Package plspm version 0.5.1 Index]