Table 1 Demographics of the respondents
|  | With PHI n = 282 (48.4%) | Without PHI n = 301 (51.6%) | Statistical difference |
|---|---|---|---|
Gender | |||
 Male | 130 (46.1%) | 116 (38.5%) | No difference due to sample requirements |
 Female | 151 (53.5%) | 184 (61.1%) | |
 Prefer not to say | 1 (.4%) | 1 (.3%) | |
Age | |||
 18–20 | 30 (10.6%) | 46 (15.3%) | No difference due to sample requirements |
 21–25 | 222 (78.7%) | 106 (35.2%) | |
 26–30 | 30 (10.6%) | 149 (49.5%) | |
Education | |||
 Primary school | 2 (.7%) | 3 (1%) | F = 6.8, df = 5, p < .001 |
 High school | 79 (28%) | 131 (43.5%) | |
 Undergraduate | 79 (28%) | 68 (22.6%) | |
 Degree, trade, or certificate | 78 (27.7%) | 71 (23.6%) | |
 Master or doctorate | 42 (14.9%) | 16 (5.3%) | |
 Other | 2 (.7%) | 12 (4%) | |
Work Status | |||
 Full time | 140 (49.6%) | 89 (29.6%) | F = 12.816, df = 5, p < .001 |
 Part time | 50 (17.7%) | 35 (11.6%) | |
 Casual | 17 (6%) | 30 (10%) | |
 Student | 44 (15.6%) | 41 (13.6%) | |
 Unemployed | 25 (8.9%) | 88 (29.2%) | |
 Not applicable | 6 (2.1%) | 18 (6%) | |
Income | |||
  < AUD$18,200 | 49 (17.4%) | 108 (35.9%) | F = 13.142, df = 5, p < .001 |
 $18,200–$37,000 | 36 (12.8%) | 58 (19.3%) | |
 $37,001–$87,000 | 107 (37.9%) | 86 (28.6%) | |
 $87,001–$180,000 | 45 (16%) | 12 (4%) | |
  > $180,00 | 16 (5.7%) | 2 (.7%) | |
 Undisclosed | 29 (10.3%) | 35 (11.6%) | |