Exam 5: Logistic Regression

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

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

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

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?

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?

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

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?

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