A common way to handle missing data when there are only a few missing values and the pattern seems more or less random is to:
A) substitute the mode of everyone else's score on that variable for each missing value
B) substitute the mean of everyone else's score on that variable for each missing value
C) delete the individual from the database
D) delete that particular variable from the database
Correct Answer:
Verified
Q2: If a participant has a missing value
Q3: Consider a study looking at the relation
Q4: Before running statistical analyses, researchers should check
Q5: A researcher should use _ or _
Q6: Consider a study comparing the effects of
Q7: If a researcher decides to handle missing
Q8: Once a researcher has decided whether to
Q9: If you wish to predict the likelihood
Q10: The following situation(s)could result in missing data:
A)a
Q11: Suppose you are testing a hypothesis about
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