1. Provide a short demographic profile including gender, age and level of study of respondents.

2. Analyse the data obtained from Q1, Q2, Q3, Q4, Q5 and Q6 provide the key findings for the survey using descriptive statistics only (e.g. frequencies, means).

3. Using chi-square tests, analyse whether demographics (i.e. gender, level of study, age) have any significant effects on students’ favourite lunchtime food (Q1).

4. Carry out three factor analyses separately for the following variables: health concern (all items of Q3), emotions (all items of Q7), and behavioural intentions (all items of Q8). Interpret and name the new factors and test the reliability for each new factor. Report the results for these. Compute a new variable for each factor using the mean (e.g. means calculated for the new factors) for further analysis.

5. Using independent samples t-tests analyse whether gender and level of study has any significant effect on behavioural intention (the new factor computed for Q8 variables in task 4). Then using an ANOVA test analyse whether age has any significant effect on behavioural intention. Note: use the new factor for behavioural intention computed for task 4.

6. Using the factors you created in task 4, perform regression analysis to see if there is there a possibility to predict behavioural intention based on emotions and health concern. If there is, how good is the prediction? What is a better predictor of behavioural intention – emotions or health concern?

Place your order now for a similar paper and have exceptional work written by our team of experts to guarantee you A Results

Why Choose US   :

    6+ years experience on custom writing

    80% Return Client

    Urgent 2 Hrs Delivery

    Your Privacy Guaranteed

    Unlimited Free Revisions