Posted by
Mike on
Nov 22, 2010; 8:59pm
URL: http://spssx-discussion.165.s1.nabble.com/EFA-and-CFA-on-the-same-data-set-tp3275897p3276026.html
Kenneth Bollen's (1989) "Structural Equations with Laten Variables"
describes the split-sample cross-validation procedure on page 278
in the model evaluation section of the chapter on confirmatory factor
analysis. He cites Cudeck and Brown (1983) as the source for his
presentation and identifies that they conducted simulations on the
procedure. On the next page Bollen identifies the information measures
(Akaike's and Schwarz's modification) as an alternative to conducting
a split sample analysis. This is old stuff so I'd assume that there is
more recent thinking and research on the procedures -- a citation
analysis of Cudeck and Brown might revelant current publications.
Cudeck, R. & M.W. Browne (1983) Cross-validation of covariance
structures. Multivariate Behavioral Research, 18, 147-167.
-Mike Palij
New York University
[hidden email]
----- Original Message -----
From: "Tanja Gabriele Baudson" <
[hidden email]>
To: <
[hidden email]>
Sent: Monday, November 22, 2010 3:09 PM
Subject: EFA and CFA on the same data set
> 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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