Description Usage Arguments Value Author(s) See Also Examples
Compute unidimensionality indices (a.k.a. Composite Reliability indices)
1 |
Data |
matrix or data frame with variables |
blocks |
optional list with vectors indicating the variables in each block |
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 |
Gaston Sanchez
1 2 3 4 5 6 7 8 9 10 11 | ## 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)
|
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
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