Which missing data technique is most appropriate when missing data are considered data missing completely at random (MCAR)?
A) Pair-wise deletion
B) Replacement
C) Listwise deletion
D) Minimized deletion
E) Weighting

Question

Quizplus · Accepted Answer

Listwise deletion is the most appropriate missing data technique when data is missing completely at random (MCAR). In this technique, all cases with missing data are deleted from the analysis. This ensures that the remaining data is still representative of the sample, and does not introduce any bias into the analysis. Pair-wise deletion and replacement techniques are not appropriate for MCAR data, as they can introduce bias into the analysis. Minimized deletion and weighting techniques may be appropriate for other types of missing data, but not for MCAR data.

Which Missing Data Technique Is Most Appropriate When Missing Data