Hi Fabrice,

I started to look at SEM recently and found the tutorials and papers provided by Mplus website helpful : -). Did you find something interesting on your side?.

Thanks,

Guillaume

http://www.statmodel.com/SEM.shtml

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Hi Guillaume,

i have to admit that i did not find what i expected : most tutorials i found spend pages on technical issues which are of little interest for someone coming from the machine learning community and spend much too little time on the motivations and differences between causal models and statistical models

maybe that's just out of bad luck ... or bibliographical incompetence !

the closest i found to what i am looking for is the textbook attached below

i'll check out your link

thanks

Hi Fabrice,

The book looks very complete. Thanks for sharing ! :-)

Guillaume

Hi Fabrice, 

When I started to learn SEM, I used an AMOS guide written by James Arbuckle and found it very useful for me. If you are going to use AMOS, it could be an option.  It's available online.

Hi, Fabrice,

http://gastonsanchez.com/PLS_Path_Modeling_with_R.pdf

This is a good book, but it may not contain all SEM methods.

Hey li yi,

I guess one disadvantage of Gastons book is, that it is not up to date anymore. In PLS, a lot of developements have undergone in the last years. So if you want to use this book, you should also consider all the discussions in the respective journals. Moreover, a very useful article on the current view on PLS is the following Henseler et al. (2016).

Best regards,

Florian

Henseler, Jörg, Geoffrey Hubona, and Pauline Ash Ray. "Using PLS path modeling in new technology research: updated guidelines." Industrial Management & Data Systems 116.1 (2016): 2-20.

Sharing link:

http://aisel.aisnet.org/cgi/viewcontent.cgi?article=2531&context=cais

Regards!