Deck 21: Multilevel Linear Models

Question 1

At age 23, what was the average physical health score of the young adults?

A) 70.95
B) 72.26
C) 74.71
D) 75.19

Answer 1

74.71

Question 2

What does the Estimates of Covariance Parameters table tell you about the data? Source: http:/ / www2.sas.com/ proceedings/ sugi31/ 151-31.pdf

A) Effect size
B) Random effects
C) Variance
D)None of the above

Answer 2

Random effects

Question 3

In a study of the Analysis of Large Hierarchical Data with Multilevel Logistic modelling using PROC Glimmix, Li et al determine the following results in their first approach to the analysis when considering factors associated with death from injury and exposure, gender, race or age Source: http:/ / www2.sas.com/ proceedings/ sugi31/ 151-31.pdf
In their second round of analysis, a range of data outputs were achieved including the following table
Source: http:/ / www2.sas.com/ proceedings/ sugi31/ 151-31.pdf
What do the data represent?

A) They tell whether predictors significantly predict the outcome, and in this example the predictor of exposure is not significant.
B) They tell whether predictors significantly predict the outcome, and in this example the predictor of gender is not significant.
C) They tell whether predictors significantly predict the outcome, and in this example the predictor of race is not significant.
D) They tell whether predictors significantly predict the outcome, and in this example the predictor of age is not significant.

Answer 3

They tell whether predictors significantly predict the outcome, and in this example the predictor of exposure is not significant.

Question 4

In a study of the analysis of large hierarchical data with multilevel logistic modelling using PROC Glimmix, Li et al. determine the following results in their first approach to the analysis when considering factors associated with death from injury and exposure, gender, race or age Source: http:/ / www2.sas.com/ proceedings/ sugi31/ 151-31.pdf
What would you consider to be the findings of this result?

A) No significant association between death from injury and gender.
B) No significant association between death from injury and race.
C) A significant association between death from injury and exposure.
D) No significant association between death from injury and age.

Question 5

Which of the following is not an example of the benefits of multilevel models?

A) No assumptions of homogeneity of regression slope
B) No assumptions of independence
C) No issue with missing data
D) No assumption of interaction