Dear John,
Thanks for the prompt reply! Sorry did not supply with more detailed
information.
The target model consists of three latent factors, general risk
scale from Weber's domain risk scales, time perspective scale from
Zimbardo(only future time oriented) and a travel risk
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 with identical goodness of fits (2)
Dear John,
Thanks
,
-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 with identical goodness of fits (2)
Dear John,
Thanks for the prompt reply! Sorry did
Dear Hyena,
Your model is of three correlated factors accounting for the
observed variables.
Those three correlations may be accounted for equally well by
correlations (loadings) of the lower order factors with a general
factor.
Those two models are indeed equivalent models and will, as a
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
On
Behalf Of hyena
Sent: March-15-09 12:00 PM
To: r-h...@stat.math.ethz.ch
Subject: Re: [R] SEM model testing with identical goodness of fits (2)
Dear John,
Thanks for the reply
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
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 with identical goodness of fits (2)
Dear John,
Thanks for the prompt reply! Sorry did not supply
Dear hyena,
Actually, looking at this a bit more closely, the first models dedicate 6
parameters to the correlational and variational structure of the three
variables that you mention -- 3 variances and 3 covariances; the second
model also dedicates 6 parameters -- 3 factor loadings and 3 error
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