Deck 5: Logistic Regression

Question 1

Which of the following would be an appropriate outcome to examine with binary logistic regression?

A) homeownership (own, rent)
B) location of exercise (gym, home, outside)
C) preferred art (dance, studio art, theatre, other)
D) vacation location (beach, mountains, theme park, other)

Answer 1

A
Explanation: Variables with only two categories can be used with binary logistic regression.

Question 2

A researcher is studying passing rates for a licensure exam and has coded 'pass' as '1' and 'fail' as '0'. Which of the following is a correct interpretation of odds of .48?

A) The odds of passing are about equal to those of failing
B) The odds of passing are greater than those of failing
C) The odds of passing are less than those of failing
D) Cannot be determined from the information provided

Answer 2

A
Explanation: The odds of passing are about those of failing (with .50 being exactly equal).

Question 3

A researcher is studying passing rates for a licensure exam and has coded 'pass' as '1' and 'fail' as '0'. Which of the following is a correct interpretation of odds of .05?

A) The odds of passing are about equal to those of failing
B) The odds of passing are greater than those of failing
C) The odds of passing are less than those of failing
D) Cannot be determined from the information provided

Answer 3

C
Explanation: The odds of passing are very small, only about 5% odds (i.e., there is a small probability of passing).

Question 4

A log likelihood value of .50 suggests which one of the following?

A) Bad model fit
B) Neither good nor bad model fit
C) Good model fit
D) Cannot be determined from the information provided

Question 5

Which one of the following is NOT a tool for providing evidence of overall model fit?

A) Box's M test
B) change in log likelihood
C) Hosmer and Lemeshow
D) pseudo-variance explained

Question 6

Which one of the following is NOT a tool for providing evidence of overall model fit?

A) change in log likelihood
B) Kolmogorov-Smirnov
C) pseudo-variance explained
D) predicted group membership

Question 7

In a binary logistic model, 'receipt of services' is coded as '1' and 'nonreceipt' is coded as '0.' Of 40 cases coded as receiving services, only 10 cases were classified correctly. Of the 20 cases coded as not receiving services, 15 were classified correctly. What is the sensitivity in this situation?

A) 0%
B) 25%
C) 75%
D) 100%

Question 8

In a binary logistic model, 'receipt of services' is coded as '1' and 'nonreceipt' is coded as '0.' Of 40 cases coded as receiving services, only 10 cases were classified correctly. Of the 20 cases coded as not receiving services, 15 were classified correctly. What is the specificity in this situation?

A) 0%
B) 25%
C) 75%
D) 100%

Question 9

A researcher finds a BIC value of 7.50. What can be interpreted by this?

A) there is a large effect
B) individual coefficient is statistically significantly different from zero and this is a strong difference
C) the proportion of variance in the dependent variable accounted for by the model is about 75%

Question 10

The method of predictor entry where the researcher allows the algorithm to select the sequence for the individual predictor variables is which one of the following?

A) backward
B) hierarchical regression
C) simultaneous
D) stepwise