Sorry if this question has already been posted or is not put in the right section of the forum.
I'm building a model from data I got from a survey. I design my factors with the items that significant load on them. These items are likert scale statement.
Then, I'd like to see if the factors that I've built can explain one particular behavior of my respondent. In the survey, I have asked a question to know whether people have a special characteristic. In my Mplus model, I'd like to find the command that links my factors to this characteristic, where the factors explain this characteristics.
Thank you for your answer and sorry for the delay.
I used this command (factor ON covariates) but this would mean that it's the covariate that affect the factor. In my case, I also want to know the command for "the contrary" where it's the factor that can predict my dependent variable.
For example: I have a factor which is "Willingness to Play Money". It's unobserved, and I define it by a set of items. Let's call it WPM
I say that age affects this factor. So I'll write WPM on AGE (This is an example I got from a marketing class I took, professor used this way of coding when a variable explain the factor. Maybe this is wrong)
But also, I have another variable where I asked people (from a survey) whether they were gambler or not. And I want to predict whether they are gambler or not with my factor.
It would be something like GAMBLER on WPM or GABMLER by VPM