I am new to the concept of SEM. Yet, after reading about SEM it seems quite promising to give me a better understanding about how influential/important a set of measured variables (in respect to each other) is, regarding a abstract concept, i.e. latent variable. As I am still not 100% sure if I could use SEM for my purpose, let me give a more precise example. I would like to use a set of variables on different scales to describe a habitat. Let´s say I would use tree cover in %, sunlight input in hours, vegetation hight, ... Could I use SEM to tell me how each variable is important for the abstract concept/latent variable habitat quality? If yes, I guess the way to go would be a confirmatory factor analysis?
In a next step I would like to use the information to weight different spatial data to create an output for the abstract concept habitat quality, which I would then like to visualize and quantify.
Looking forward to answers