You might want to consider the procedure of
"exploratory factor analysis with the confirmatory
factor analysis framework" (Joreskog & Sorbom, 1979;
Muthen & Muthen, 1998). E/CFA is an intermediate step
between EFA and CFA. In E/CFA, you fix factor
variances to unity, freely estimate the factor
covariances, and select an anchor item for each factor
whose cross-loadings are fixed to zero. This
specification produces the same model as maximum
likelihood EFA but you get a lot more useful info.
This can be done is Mplus, LISREL, EQS, SAS proc
calis, and AMOS. Tim Brown provides a worked example
in his CFA book.
Scott Millis
--- [email protected] wrote:
> Thanks for this nice background introduction.
> One more question: Do you know any software that can
> apply FIML to exploratory
> FA? it seems that both Amos and Lisrel feature
> confirmatory FA with regarding
> to FIML. This may not be a STATA discussion.
> Thanks
Scott R Millis, PhD, MEd, ABPP (CN,CL,RP), CStat
Professor & Director of Research
Dept of Physical Medicine & Rehabilitation
Wayne State University School of Medicine
261 Mack Blvd
Detroit, MI 48201
/ `--'(
< [] []////////|:::)
\_.--.(
Email: [email protected]
Tel: 313-993-8085
Fax: 313-966-7682
*********************************************************
This electronic message may contain information that is confidential and/or legally privileged. It is intended only for the use of the individual(s) and entity named as recipients in the message. If you are not an intended recipient of this message, please notify the sender immediately and delete the material from any computer. Do not deliver, distribute or copy this message, and do not disclose its contents or
take any action in reliance on the information it contains. Thank you.
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
