missing data Flashcards
1
Q
types of missing data
A
missing completely at random (mcar)
missing at random (mar)
missing not at random (mnar)
2
Q
missing completely at random
A
totally random reasons-
person forgot to answer a question
3
Q
missing at random
A
non-random reasons
missing data is due to some other variable in the dataset
4
Q
missing not at random
A
missingness on a variable is due to that variable.
depression- people don’t answer some questions because they are depressed
5
Q
how to handle missing data
A
exclude cases list wise
“ “ pairwise
replace with mean
6
Q
listwise deletion
A
participant with missing data is deleted
6
Q
pairwise
A
only participants with missingness on the variable of interest is deleted
7
Q
mean replacement
A
missing values on variable are replaced with mean scores of variable
