Table 5.
Practice toward COVID-19 by socio-demographic characteristics (n = 410).
| Variables | Frequency (%) | Good (n, %) | Bad (n, %) | P-value* | Cramer's V |
|---|---|---|---|---|---|
| Age group | 0.38 | ||||
| Young | 339 (82.68%) | 319 (94.10%) | 20 (5.90%) | ||
| Middle | 60 (14.63%) | 58 (96.67%) | 2 (3.33%) | ||
| Elderly | 11 (2.83%) | 11 (100.00%) | 0 (0%) | ||
| Sex | 0.08 | ||||
| Male | 118 (28.78%) | 108 (91.53%) | 10 (8.47%) | ||
| Female | 292 (71.22%) | 280 (95.89%) | 12 (4.11%) | ||
| Regency | 0.57 | ||||
| Kupang City | 179 (43.66%) | 175 (97.77%) | 4 (2.23%) | ||
| Alor | 2 (0.49%) | 2 (100.00%) | 0 (0%) | ||
| Belu | 2 (0.49%) | 2 (100.00%) | 0 (0%) | ||
| Ende | 3 (0.73%) | 3 (100.00%) | 0 (0%) | ||
| East Flores | 13 (3.17%) | 12 (92.31%) | 1 (7.69%) | ||
| Kupang Regency | 131 (31.95%) | 122 (93.13%) | 9 (6.87%) | ||
| Lembata | 3 (0.73%) | 3 (100.00%) | 0 (0%) | ||
| Malaka | 4 (0.98%) | 4 (100.00%) | 0 (0%) | ||
| Manggarai | 2 (0.49%) | 1 (50.00%) | 1 (50%) | ||
| West Manggarai | 7 (1.71%) | 6 (85.71%) | 1 (14.29%) | ||
| East Manggarai | 2 (0.49%) | 2 (100.00%) | 0 (0%) | ||
| Nagekeo | 2 (0.49%) | 2 (100.00%) | 0 (0%) | ||
| Ngada | 3 (0.73%) | 3 (100.00%) | 0 (0%) | ||
| Rote Ndao | 19 (4.63%) | 16 (84.21%) | 3 (15.79%) | ||
| Sabu Raijua | 2 (0.49%) | 2(100.0%) | 0 (0%) | ||
| Sikka | 9 (2.20%) | 8 (88.89%) | 1 (11.11%) | ||
| West Sumba | 2 (0.49%) | 2 (100.00%) | 0 (0%) | ||
| Southwest Sumba | 4 (0.98%) | 3 (75.00%) | 1 (25.00%) | ||
| Central Sumba | 2 (0.49%) | 2 (100.00%) | 0 (0%) | ||
| East Sumba | 10 (2.44%) | 10 (100.00%) | 0 (0%) | ||
| South Central Timor | 3 (0.73%) | 3 (100.00%) | 0 (0%) | ||
| North Central Timor | 6 (1.46%) | 5 (83.33%) | 1 (16.67%) | ||
| Occupation | 0.07 | ||||
| Entrepreneur | 29 (7.07%) | 27 (93.10%) | 2 (6.90%) | ||
| Police and national armed force | 4 (0.98%) | 4 (100.00%) | 0 (0%) | ||
| Unemployed | 114 (27.80%) | 108 (94.74%) | 6 (5.26%) | ||
| Student | 39 (9.51%) | 37 (94.87%) | 2 (5.13%) | ||
| Healthcare workers | 47 (11.46%) | 46 (97.87%) | 1 (2.13%) | ||
| Unskilled labor | 53 (12.93%) | 45 (84.91%) | 8 (15.09%) | ||
| Civil Servant | 52 (12.68%) | 52 (100.00%) | 0 (0%) | ||
| Private Employee | 47 (11.46%) | 45 (95.74%) | 2 (4.26%) | ||
| Teacher | 25 (6.10%) | 24 (96.00%) | 1 (4.00%) | ||
| Education | < 0.001 | 0.27 | |||
| No formal education | 2 (0.49%) | 2 (100.00%) | 0 (0%) | ||
| Primary education | 32 (7.80%) | 24 (75.00%) | 8 (25.00%) | ||
| Secondary education | 178 (43.41%) | 167 (93.82%) | 11 (6.18%) | ||
| Higher education | 198 (48.29%) | 195 (98.48%) | 3 (1.52%) |
*
P-value for chi-square test to find any significant association between each of the variables with practice.