Table 5 shows the assumptions for the application of correspondence analysis. In this analysis, the relations between gender-income categories and disorder categories (PSS, PHQ 9, and AUDIT intervals) were assessed. With a focus on the results, the most important information is provided by the p-value (Sig.) of the χ2 test, which can be observed in the last column of the table. Obviously, the significance was not confirmed only in the relation between gender-income and PHQ 9. On the other hand, the significance was clearly confirmed in the other two relations. Another important information of Table 5 is shown in the column Variance%. In the relation between gender-income and PSS, the first dimension explains 81.12% of the variability, and in the case of the relation between gender-income and AUDIT, the first dimension is even more dominant, i.e., 99.25%.
