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3 votes

Multiple logistic regression with ordinal predictors

If your predictors have a natural order to them, then treating them as more continuous makes more sense, and can be interpreted much like any other predictor in a regression. The problem with treating ...
Shawn Hemelstrand's user avatar
2 votes

Imputation Missing data

This situation should be approached with multiple imputation (MI), as explained by Stef van Buuren in Flexible Imputation of Missing Data. The complete-case restriction of your proposed "rules&...
EdM's user avatar
  • 95.6k
1 vote

What methods to use in pre and post testing?

I will address your questions individually: Do I discuss just the 102 participants within my analyses? I would advise against just using these participants. Your analysis will be obviously biased ...
Shawn Hemelstrand's user avatar
1 vote

Imputation Missing data

There are several questions here. I don't mean any of the following to be unfriendly, but I'm trying to interpret your questions and the useful answers are just not coming. Hopefully this will help ...
Gijs's user avatar
  • 3,889

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