Posted by
Christopher Stride on
Nov 22, 2010; 8:20pm
URL: http://spssx-discussion.165.s1.nabble.com/EFA-and-CFA-on-the-same-data-set-tp3275897p3275916.html
Hi Tanja
The logic (which applies to any model building and testing situation,
not just measurement model construction) is that a model is likely to
fit the data set it was created from better than any other random sample
from the same population - on that basis, if you want an honest test of
how well your model fits the data, you need to forumulate and test it on
different data sets. Building and testing on the same sample will bia
your assessment of model fit upwards. Split half validation is one way
around this.
cheers
Chris
On 22/11/2010 20:09, Tanja Gabriele Baudson wrote:
> Hi all,
>
> I found in several articles that it makes sense to split a sample in
> two to derive the (yet unknown) factor structure from the first half
> using EFA and then to test this structure using CFA with the second
> half. I would consider it bad practice to use both strategies on the
> entire sample; however, a colleague of mine disagrees. I have been
> searching for arguments/references in favor of my assumption but was
> not too successful (except for a lecture script, which does not
> mention any references, I did not find anything specific). Any hints
> would be appreciated.
>
> Regards
> Tanja
> --
> Tanja Gabriele Baudson
> Universität Trier
> FB I Psychologie
> Hochbegabtenforschung und -förderung
> 54286 Trier
> Fon 0651/201-4558
> Fax 0651/201-4578
> Email
[hidden email]
> Web
http://www.uni-trier.de/index.php?id=9492>
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