What does multiple imputation do?
A) Removes any observation that has missing one or more of the variables in the model
B) Uses information from all values from other variables to predict values on variable(s) with low N
C) Calculations are based on all available data pairwise for all pairs of variables
D) Inserts a new value for all missing observations in a variable (e.g., 0 or the mean), as well as including a dummy variable coded 1 if the original data is missing

Question

Quizplus · Accepted Answer

Multiple imputation predicts missing values using information from other variables, creating multiple complete datasets for analysis.

What Does Multiple Imputation Do