Gender | Education | N | Mean | SD | ANOVA “p” value |
Male | Illiterate | 40 | 2.2 | 0.3 | 0.001 |
Primary (1–7) | 58 | 2.2 | 0.3 | ||
Secondary (up to 10th) | 70 | 2.0 | 0.5 | ||
Graduate and above | 30 | 2.0 | 0.4 | ||
Total | 198 | 2.1 | 0.4 | ||
Illiterate vs secondary (up to 10th)*p = 0.005, primary (1–7) vs secondary (up to 10th)*p = 0.006 | |||||
Female | Illiterate | 57 | 2.4 | 0.4 | 0.000 |
Primary (1–7) | 41 | 2.4 | 0.4 | ||
Secondary (up to 10th) | 68 | 2.2 | 0.4 | ||
Graduate and above | 31 | 1.8 | 0.4 | ||
Total | 197 | 2.2 | 0.4 | ||
Illiterate vs secondary (up to 10th) *p = 0.043, illiterate vs graduate and above *p = 0.000, primary (1–7) vs graduate and above *p = 0.000, secondary (up to 10th) vs graduate and above*p = 0.000 | |||||
Overall | Illiterate | 97 | 2.3 | 0.4 | 0.000 |
Primary (1–7) | 99 | 2.3 | 0.3 | ||
Secondary (up to 10th) | 138 | 2.1 | 0.4 | ||
Graduate and above | 61 | 1.9 | 0.4 | ||
Total | 395 | 2.2 | 0.4 | ||
Illiterate vs secondary (up to 10th) *p = 0.000, illiterate vs graduate and above *p = 0.000, primary (1–7) vs secondary (up to 10th) *p = 0.001, primary (1–7) vs graduate and above *p = 0.000 |