fore.
It seems the time to read more about scale developing. And thanks for
all these inputs.
regards,
John Fox wrote:
Dear Hyena,
OK -- I see that what you're trying to do is simply to fit a confirmatory
factor-analysis model.
The two models that you're considering aren't really
Thanks for the clear clarification. The suggested bi-factor solution
sounds attractive. I am going to check it in details.
regards,
William Revelle wrote:
Dear Hyena,
Your model is of three correlated factors accounting for the observed
variables.
Those three correlations may be accounted
d Indeed the model fit is quite bad.
regards,
John Fox wrote:
Dear hyena,
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
On
Behalf Of hyena
Sent: March-15-09 4:25 AM
To: r-h...@stat.math.ethz.ch
Subject: Re: [R] SEM model testing
0.054994 12.23360 0.0000e+00
eo100.883503 0.065197 13.55124 0.e+00
eo110.660630 0.055397 11.92534 0.e+00
eo120.758852 0.059582 12.73619 0.e+00
gamma2 0.689244 0.089545 7.69720 1.3989e-14
gamma3 0.880580 0.092955 9.47317 0.e+00
gamma4 1.08
HI,
I am testing several models about three latent constructs that
measure risk attitudes.
Two models with different structure obtained identical of fit measures
from chisqure to BIC.
Model1 assumes three factors are correlated with each other and model
two assumes a higher order factor exi
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