I am currently self-learning Structural Equation Modeling. I have studied some theory and also a bit about the software implementation, but not enough to practically conduct an SEM study.
I wanted to have a more detailed reading of the full practical implementation of Structural Equation Modeling.
For example, I have a theoretical model hypothesised for a phenomenon (with the latent and respective observed variables and their relations and the directions). How do I go next. What should be the sample size (10/observed variable?), how to practically make sure that I have chosen the right observable variables (which software, any rules of thumb that I must remember etc.), testing reliability and validity, any research design subtleties I need to take care of that might not be obvious from the theory, and then deriving the covariance matrix and hypothesis testing, what should be the practical steps to ensure their validity etc.
Any lecture/ video series, books, notes etc. or a list of resources that are comprehensive enough to be self-sufficient for a basic SEM study would be very helpful, especially those that are useful for self study.