Is mean imputation of missing data acceptable practice? Why or why not?

Is mean imputation of missing data acceptable practice? Why or why not?



-Bad practice in general
-If just estimating means: mean imputation preserves the mean of the observed data
-Leads to an underestimate of the standard deviation
-Distorts relationships between variables by "pulling" estimates of the correlation toward zero

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