Reference no: EM132284604

Assessment Task 1: Analysis of dataset

Background

This assessment task uses the Longitudinal Survey of ACU Student Health and Wellbeing, a (fictional) cohort study involving a survey administered to students on enrolment with ACU (first year baseline) and selected follow up data (during third year). For this task, you are presented with baseline data, along with selected follow-up data (where indicated) on:

1. Road traffic accidents
2. Depression and obesity

Instructions

Please provide answers for each of the following six questions:

1. In your SPSS file, age (at time of enrolment) is given as a continuous variable.
a. What is the mean, standard deviation, minimum and maximum values for age?
b. Some students enrol before their 18th birthday, potentially confounding this analysis of long- term driving behaviour (for the RTA study) or generally creating ethical issues around recruitment of children and consent (for the depression/obesity study). It is therefore necessary to consider only those aged 18 and over, and to make data for those under 18 years of age "missing". Please recode "age" into a new variable (named "age_category") using this guide:

What is the frequency (% and number) of students in each of these new age categories?

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 past 12 months (from follow-up survey)

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

Provide a brief interpretation of your findings.

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?

Attachment:- Analysis of dataset.rar