Model | Coefficient | Standard Error | 95% lower | 95% upper | Z-value | Two-sided p-value | |
---|---|---|---|---|---|---|---|
Intercept | − 0.04 | 0.10 | − 0.23 | 0.15 | − 0.43 | 0.67 | |
Subject | |||||||
1 = Business | 0.24 | 0.21 | − 0.16 | 0.64 | 1.17 | 0.24 | Qa = 22.63, df = 9, p = 0.01* |
2 = Chemistry | 0.06 | 0.22 | − 0.36 | 0.48 | 0.28 | 0.78 | |
3 = Computer science | − 0.40 | 0.24 | − 0.86 | 0.07 | − 1.68 | 0.09 | |
4 = History | 1.14 | 0.29 | 0.58 | 1.70 | 4.00 | 0.001** | |
5 = Mathematics | 0.16 | 0.21 | − 0.26 | 0.57 | 0.73 | 0.47 | |
6 = Physics | 0.16 | 0.21 | − 0.25 | 0.57 | 0.77 | 0.44 | |
7 = Politics | − 0.02 | 0.23 | − 0.47 | 0.43 | − 0.08 | 0.93 | |
8 = Sociology | 0.12 | 0.35 | − 0.56 | 0.80 | 0.35 | 0.73 | |
9 = Varied | 0.05 | 0.12 | − 0.19 | 0.29 | 0.41 | 0.68 | |
Educational level | |||||||
1 = Secondary | − 0.17 | 0.27 | − 0.70 | 0.35 | − 0.64 | 0.52 | Qa = 14.81, df = 3, p = 0.001** |
2 = Post-secondary | 0.00 | 0.16 | − 0.31 | 0.31 | 0.01 | 0.99 | |
3 = Professional development | 2.03 | 0.64 | 0.78 | 3.28 | 3.17 | 0.001** | |
Region | |||||||
1 = Asia | 0.25 | 0.46 | − 0.65 | 1.15 | 0.54 | 0.59 | Qa = 0.76, df = 2, p = 0.68 |
2 = Latin America | Region 0.21 | 0.26 | − 0.73 | 0.30 | − 0.81 | 0.42 |