The most simplistic,but acceptable way of handling missing data is to
A)exclude cases that are missing data.
B)substitute responses based on an observable pattern.
C)using an analysis technique to find potential responses
D)make up the data to fill out missing cases.
E)You can never handle missing data.

Question

Quizplus · Accepted Answer

Excluding cases with missing data is a straightforward and simple approach although it may limit the sample size and reduce power. However, it is acceptable in some cases if the amount of missing data is small enough that its exclusion would not affect the validity or reliability of the analysis results.

The Most Simplistic,but Acceptable Way of Handling Missing Data Is