S4E08 Missing Data: The New State Of The Art With Craig Enders
Quantitude
The Order of the Factorization in a Regression Model With Complete Data?
The key is that you want one of the terms to correspond to your focal analysis, right? So it's like, why given X1 and X2? That's my focal model. And maybe categorical variables first ordered by sort of least the most amount of missing data followed by continuous variables in the factorization. But I think applying that logic to a structural equation model with complete data allows you to do some really interesting things.
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