AMOS ERROR MEASSAGE

[Ryan]

There's nothing "wrong" with a cross-loading, as long as it can be justified statistically and substantively. One of the most widely used IQ tests presents, in the latest manual, a second-order CFA with a cross-loading between a manifest variable and one of the first-order factors, as a way to validate the factorial structure the developers expected.

As David pointed out, parsimony is always preferred, but if there is good reason and empirical data to suggest a more complex model explains the data better than the "cleaner model," then so be it.

So, this is also about cross-loadings as I initially indicated, in addition to redundant variables? Boy is it hard to follow this thread!

David, is the OP only emailing you? Maybe my gmail is filtering SPSS-L emails.

Ryan

Sent from my iPhone

On Apr 22, 2013, at 4:46 PM, David Marso <[hidden email]> wrote:

> 1. Nuke the dups.
> 2. Draw paths from the appropriate latents to the observed.
> AFAIK: There is nothing forbidden about having a variable load on more than
> one latent variable.
> OTOH: The nature of that observed variable violates basic concepts of simple
> structure favored in the factor analytic world.  Not much more to say on
> that.
> --
>
> kammel wrote > Doc8.doc
> <http://spssx-discussion.1045642.n5.nabble.com/file/n5719640/Doc8.doc>
>>
>> David,
>>
>> I have changed the format of the document.
>>
>> Thank you for answering my question. I have read a sufficient amount to
>> identify why the covariance matrix is NPD. My question to the group,
>> really is what are my other options for assessing the fit of the model.
>> Not, why has this occurred.
>>
>> As mentioned before, there have been subsequent published analyses of the
>> construct validity of the IDP. These have failed to mention how they dealt
>> with the cross loading items. In addition, there is no mention of this
>> issue in text books or statistical journal articles.
>>
>> I will take your advice to 'have one copy of any given variable'. I was
>> tempted to do so (through common sense and no guiding theory) but was
>> seeking the opinion of those more experienced in statistical analyses at
>> such a high level.
>>
>> Thank you for your time and patience.
>
>
>
>
>
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[Ryan]

There are no cross-loadings in this model...

Ryan

Sent from my iPhone

On Apr 22, 2013, at 3:11 PM, kammel <[hidden email]> wrote:

> IDP_model.docx
> <http://spssx-discussion.1045642.n5.nabble.com/file/n5719638/IDP_model.docx>
>
> Hi,
>
> You should be able to see the model in this doc.
>
> Thank you
>
>
>
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[kammel]

Hi Ryan,

For some reason I'm getting your replies to my private email but they're not showing up on here.

The cross loading items are found in factor 3 but have been renamed to avoid error messages pertaining to duplicated names cropping up. The originals are IDP9, IDP12, IDP3win. The duplicates are IDP9_3, IDP12_3 and IDP3win_3

[Meitry-2]

Hello David
I have the same problem with RSK
My analysis couldn't find any solution
This is my problem as follows:
The sample moment matrix is not positive definite.It could fail to be
positive definite for any of the following reasons:
1. The sample covariance matrix or the sample correlation matrix contains a
data entry error.
2.The observed variables are linearly dependent (perhaps because the sample
size is too small).
3. The sample covariance matrix or sample correlation matrix was computed
from incomplete data using method of 'Pairwise deletion'.
4.The sample correlation matrix contains correlation coefficients other than
product moment correlations (such as tetrachoric correlations).

For maximum likelihood estimation only,it may be appropriate to check "Allow
non-positive definite sample covariance matrices" in the "Analysis
Properties" window, or to use the NonPositive method.

Please help me to find the solution about this SEM_1.amw
<http://spssx-discussion.1045642.n5.nabble.com/file/t341702/SEM_1.amw>  



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