2.4. Statistical analysis Two sets of statistical test were conducted to assess and inter-pret survey results. A Pearson’s Chi Square test of independence wasperformed to determine the existence of a relationship between the different outcome categories and the demographic variables. This test evaluated the probability that a relationship is due to random chance. If the probability was low, the hypothesis was rejected, and the observation of a relationship is a statistically significant find-ing. Statistical significance was evaluated at a significance level of p < 0.05. Goodness of fit is established through probability theory and the assumption that the sample is normally distributed.