What Does Multiple Imputation Do

question 4

Multiple Choice

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

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