Model is running using this, but I have to questions:
1. I have missing data on the x variable which I'd like to impute. Is there any option to do so? In the simple mediation model I fixed this by adding [x]; to the model command. But here it is not working doing so.
2. I would like to add a second x variable into the mediation model, while the moderator is only influencing the path x1-m not the path x2-m. Is this possible? Thanks a lot!
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Mark Burton posted on Friday, September 09, 2016 - 12:06 pm
Could you explain why adding the mean of a variable to the model syntax allows for analyses of the entire sample? How is it imputing missing data? For example, pertaining to the previous post, why does adding [X] to the model command "fix" this problem. I am running similar analyses and want to make sure I am not simply doing a mean replacement or something. Thank you!
Mentioning the mean or variance of an x variable brings it into the model, that is, it is no longer conditioned on but treated like the y variables. The theory for this is explained in our new book (see our homepage). No data imputation is done but simply ML estimation under MAR - which sometimes called FIML.