Question 1

What does multiple imputation do?

Accepted Answer

A)   Removes any observation that has missing one or more of the variables in the model
B)   Uses information from all values from other variables to predict values on variable(s)  with low N
C)   Calculations are based on all available data pairwise for all pairs of variables
D)   Inserts a new value for all missing observations in a variable (e.g., 0 or the mean) , as well as including a dummy variable coded 1 if the original data is missingE) C) and D)
F) B) and C)

Question 2

Which one of the following methods is recommended to use when running an analysis containing missing data?

Accepted Answer

A)   Pairwise deletion
B)   Multiple imputation
C)   Single imputation
D)   Dummy variable adjustmentE) All of the above
F) C) and D)

Question 3

If you have count data where the variance is smaller than the mean, however you have an excess of zero counts, which model should you choose?

Accepted Answer

A)   Poisson regression
B)   Zero-inflated Poisson regression
C)   Negative binomial regression
D)   Zero-inflated binomial regressionE) A) and B)
F) A) and C) B

Question 4

What happens if you raise a variable to a power (p) < 1

Accepted Answer

A)   We will reduce negative skew
B)   The data will stay the same
C)   We will reduce positive skew
D)   We will make a flat distribution pointyE) B) and C)
F) A) and D) C

Question 5

What is skewness?

Accepted Answer

A)   A pointy distribution
B)   A flat distribution
C)   Lack of symmetry of a distribution
D)   A platykurtic distributionE) A) and C)
F) B) and D) C

Exam 15: Advanced Statistical Techniques

What does multiple imputation do?

Correct Answer
verified

Which one of the following methods is recommended to use when running an analysis containing missing data?

Correct Answer
verified

If you have count data where the variance is smaller than the mean, however you have an excess of zero counts, which model should you choose?

Correct Answer
verified
B

What happens if you raise a variable to a power (p) < 1

Correct Answer
verified
C

What is skewness?

Correct Answer
verified
C

Exam 15: Advanced Statistical Techniques

What does multiple imputation do?

Correct AnswerverifiedShow Answer

Which one of the following methods is recommended to use when running an analysis containing missing data?

Correct AnswerverifiedShow Answer

If you have count data where the variance is smaller than the mean, however you have an excess of zero counts, which model should you choose?

Correct AnswerverifiedB

What happens if you raise a variable to a power (p) < 1

Correct AnswerverifiedC

What is skewness?

Correct AnswerverifiedC

Correct Answer
verified

Correct Answer
verified

Correct Answer
verified
B

Correct Answer
verified
C

Correct Answer
verified
C