in which I gave some recommendations about learning goals and relevant concepts which are not treated clearly enough in the popular textbooks accompanied with a list of references.
Apart from that I would recommend as a textbook
Shipley, B. (2016). Cause and correlation in biology: a user's guide to path analysis, structural equations and causal inference with R. Cambridge University Press.
Don't be distracted from the reference of biology -- I am a psychologist and found it (next to Kline's 4 ediction principles and practices of SEM) the best book about the real and relevant issues.
With regard to the youtube Videos which Mohammed recommended: They may be worth watching for the technical procedure and how to set up a model. However, jumping to his CFA video I found it rather lax and with a problematic attitude towards model evaluation (i.e., ignoring the chi-square test, judging a CFI = .93 as good, repeating the nonsense that N increased chi-square etc.)
Hence: watch it but with a grain of salt. With regard to the software, I would rather use R's lavaan package (lavaan.org).