Book on structural equation modelling/ confirmatory factor analysis Is there any "state of the art" book on SEM/CFA that you can recommend? 
I am looking for something that offers both some theory and some practice and I am using R with lavaan.
I am a psychologist and mainly interested in CFA to test questionnaire structure, etc.
Please note why your book of choice is worth reading. 
 A: Mulaik, S. A. (2009). Foundations of factor analysis. Chapman and Hall/CRC. 
This is a mathematically thorough (and demanding) treatment of the subject. It takes an algebraic perspective and is very clearly written. I did miss a probabilistic perspective in addition to the algebraic one, but I realize one should not require too much from an already great book. It will be too advanced for most beginners (except perhaps those who have solid skills in linear algebra).
A: Additional recommendation from a fellow psychologist/psychometrician.
State of the art books: 
Bollen, K. (1989), Structural Equations with Latent Variables, John Wiley & Sons, New York, NY. Note: classical book, Kenneth Bollen is an influential figure in SEM  
Brown, T. A. (2006). Confirmatory Factor Analysis for Applied Research. New York, NY: Guilford Press. Note there is a new 2015 version of this book. Deep coverage of CFA
Kline, R. B. (2015). Principles and practice of structural equation modeling. New York, NY: The Guilford Press. A lot of extra details on both SEM and CFA
A: Mulaik, S. A. (2009). Linear Causal Modeling with Structural Equations. Chapman and Hall/CRC.
This seems to be a mathematically thorough treatment of the subject.
