Time for Change Survey and Report

13 Data analysis All survey data were analysed through SPSS, STATA, and Microsoft Excel by SSDP Australia’s National Research Circle, with data visualisation generated in Microsoft Excel and Canva. Quantitative analysis was conducted using descriptive statistics, correlations, and crosstabs. Chi-square tests are used to test for relationships or differences between categorical variables. Kruskal-Wallis tests were conducted to compare the medians of the two groups to determine if there was a significant difference between them. A Dunn test was used after a Kruskal-Wallis test to identify which specific groups have significant differences. T-tests were conducted to determine if the means of continuous variables differ between the categorical variables with two groups. ANOVA tests were conducted to determine if the means of continuous variables differ between the categorical variables with two groups. P-values of less than 0.05 were considered statistically significant. Statistically significant test data are provided in the Supplementary Materials, available as a separate document. Where appropriate, qualitative responses were included to support and expand on quantitative findings.