You may find the following paper which is available on the website helpful:
Clark, S.L., Muthén, B., Kaprio, J., D’Onofrio, B.M., Viken, R., Rose, R.J., Smalley, S. L. (2009). Models and strategies for factor mixture analysis: Two examples concerning the structure underlying psychological disorders. Submitted for publication.
I am looking at a confirmatory LCA with 2 latent class factors cy1 and cy2 each being measured with 4 continuous indicators. Similar to example 7.14 but with all continuous indicators rather than a mix of binary and continuous indicators.
Given that tech 11 isn't available in CLCA, is the proper strategy to evaluate how many classes are in cy1 and cy2 (for the command classes = cy1(?) cy2(?)) to run a LCA for cy1 and cy2 separately in order to evaluate number of classes via tech11?