Highlights
2. Create table(s) of descriptive statistics for the demographic information of the students in this dataset (sample size n, mean and % values where appropriate). The demographic variables are cohort, state, age, gender living arrangement, faculty, degree type, metro, study mode and fee
status. As a guide you may find the tables in the paper by Keijzers et al. (2011) helpful when presenting your demographic information. Then, provide a brief description of your findings that informs the reader about the ACU cohort.
3. Test if the mean for aggression, thrill-seeking and risk acceptance scores differ for the following demographics and provide a brief interpretation of your findings:
a. Gender
b. Metropolitan background status
c. Study mode
d. RTA in the past 12 months
4. In terms of depression, is there a difference between the depressed and not depressed groups according to their:
a. Gender
b. Metropolitan background status
c. Study mode
d. Fee status
5. Using “RTA_one_crash” as the dependent variable, perform a binary logistic regression using the following predictor variables relating to the RTA study:
a. Provide a table of odds ratios, confidence intervals and significance values for each predictor variable.
b. How do you interpret the findings for living arrangements?
c. Provide a preliminary interpretation and conclusion about the influence of the predictor variables on road traffic accidents. In particular, what is the effect of changes (increase or decrease) in “driver aggression” on the odds of experiencing a road traffic accident?
6. Using “OB” (obesity at third-year follow-up) as the dependent variable, perform a binary logistic regression using the following predictor variables:
a. Provide a table of odds ratios, confidence intervals and significance values for each predictor variable.
b. Again, how do you interpret the findings for living arrangements?
c. Provide a preliminary interpretation and conclusion about the influence of the predictor variables on obesity at follow-up. In particular, what is the effect of changes (increase or decrease) in the number of parents with university education on the likelihood of later obesity?
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